Find your next tech and IT Job or contract role.

Data Scientist 6 Month contract initially Based: Hybrid - Maximum of 3 days p/w - Wokingham Rate: £Market rates p/d (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a highly experienced Data Scientist to join the team. We are seeking a skilled and experienced Data Scientist with expertise data scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience. As a Data Scientist, you will be responsible for analysing large datasets, building predictive models, and extracting meaningful insights to drive informed decision-making. Key Responsibilities: • Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. • Develop and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. • Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. • Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science projects. • Communicate findings and insights effectively to stakeholders, presenting complex concepts in a clear and concise manner. • Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. • Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. • Contribute to the development and improvement of data science methodologies, tools, and frameworks. Key Skills & Experience: • The candidate should also have a strong understanding of data scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience • Proven experience in time series analysis and forecasting, preferably in a commercial or industrial setting. • Strong proficiency in Python, including libraries such as Pandas, NumPy, and scikit-learn for data manipulation and modelling. • Experience with machine learning algorithms. • Proficient in data visualization techniques to effectively communicate insights from time series data. • Strong problem-solving skills and ability to handle complex and unstructured data. • Must be proficient in Agile methodologies, Excellent communication, and collaboration skills with the ability to collaborate effectively in fast-paced, cross-functional teams to deliver data-driven solutions iterative • Familiarity with SQL and experience in working with relational databases. • Knowledge of data pre-processing techniques, feature engineering, and model evaluation metrics. This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Data Scientist 6 Month contract initially Based: Remote/Milton Keynes - Hybrid. Max 3 days p/w onsite. Rate: £400 - £450 p/d (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We a great opportunity for a Data Scientist. You will have solid experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: • Working experience LLMs under Bedrock and Sagemaker both Amazon • Python with APIs to ChatGPT • Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment. Business Requirement Translation: Ability to convert business problems into data-driven solutions. Designing KPIs, metrics, and actionable insights. Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams using tools like Jira or Azure DevOps. This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Senior AI Data Scientist London - 4 Days on-site £65,000 - £110,000 DOE + Generous Equity + Unlimited Holiday This is an excellent opportunity for a Senior Data Scientist with previous start-up experience to join a rapidly growing start-up, where you will focus on analytics and modelling to interpret data. This company is a platform designed to simplify the hiring process for businesses and enable individuals to find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency. In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non-technical and technical stakeholders. The ideal candidate will possess a minimum of 2+ years of experience building AI models in Python within a start-up environment or leading Tech company. It is also crucial to demonstrate academic excellence in the past, whether that be a degree from a Russel Group University or have attended an internship at a leading Tech company. Proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company at an exciting time of growth, within a role offering a great benefits package and collaborative working environment. The Role: • Leverage data science for business impact. • Apply machine learning and statistical techniques. • Collaborate with nontechnical experts for solutions. • Present complex data to diverse stakeholders. • 4 Days onsite, 1 day WFH The Person: • 2+ years AI model building in Python. • Proficient as a Data Scientist with knowledge of Python AI libraries. • Expertise in demand prediction, computer vision, or optimisation (preferred). • Familiarity with AWS AI/ML services (SageMaker, Lambda). • Academic Excellence (Russel Group University or Internship at a leading Tech company) Reference Number: BBBH257746 To apply for this role or for to be considered for further roles, please click \"Apply Now\" or contact Tom McLaughlin at Rise Technical Recruitment This vacancy is being advertised by Rise Technical Recruitment Ltd. The services of Rise Technical Recruitment Ltd are that of an Employment Agency Rise Technical Recruitment Ltd regrets to inform that our client can only accept applications from engineering candidates who have a valid legal permit or right to work in the United Kingdom. Potential candidates who do not have this right or permit, or are pending an application to obtain this right or permit should not apply as your details will not be processed.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Ways of Working: We value autonomy - youll be trusted to manage your own projects, drive modelling initiatives, and take ideas from concept to production Youll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team Youll have the chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and fraud patterns Requirements Industry experience in data science or machine learning models, ideally in fraud, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to explain complex findings clearly to both technical and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take home challenge Stage 3 - 60 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Data Scientist ??????\" Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

Big Data Scientist - Expert ??????\" Manchester Our Client an international organisation is looking to recruit a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

Data Scientist and Python Software Developer - London We're looking to recruit a Data Scientist and Python Software Developer with data science skills to join a product team that is focused on building well engineered products. The products provide an intuitive way for retailers and suppliers to interact and consume 'big data' analytics to make better business decisions. This role would consist of working together with a team of statistical analysts, understanding their methodologies and algorithms, and turning them into production ready code written in Python. This role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with REST API's Any of the following skills would be an added bonus: Has run code across Hadoop/MapReduce clusters Has code running in a production environment Used SAS before (or at least can decipher SAS code) Worked with very large data sets before (billions of records) Knowledge of SQL/NoSQL database Knowledge or experience in D3.js Experience acting as a mentor/trainer in Python This is 6 month assignment in London with travel to Paris and Munich. Please send your CV to us in Word format along with daily rate and availability.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Ways of Working: We value autonomy - youll be trusted to manage your own projects, drive modelling initiatives, and take ideas from concept to production Youll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team Youll have the chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and AML patterns Requirements Industry experience in data science or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to explain complex findings clearly to both technical and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take home challenge Stage 3 - 60 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Senior Data Scientist PhD ??????\" Canary Wharf We urgently require a Senior Data Scientist with at least 5 to 10 years proven track record as Data Scientist. Must have a PhD ideally in Maths or Physics and an excellent understanding of data analytics. The Client would also like to see experience of managing and leading a team of Data Scientists. Should have experience of SCALA/SPARK and Hadoop. Initially this is a 3 month contract assignment in Canary Wharf ??????\" with likelihood that it will go on beyond that point. Location is Canary Wharf London. Please send your CV to us in Word format along with daily rate.

Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Senior Research Scientist Requisition ID: 121740 Location: Great Baddow - Hybrid working 2 days onsite per week Grade: GG11 Referral Bonus: £5,000 BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical Responsibilities: Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material Lead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities Develop prototypes and proof of concept demonstrators Take ownership of tasks in projects and deliver to challenging standards Work effectively both on self-directed projects and as part of a project team Effectively present results to both technical and non-technical audiences Undertake mentoring of junior staff working on similar research topics Patent and/or publish (e.g. in academic conference and journal articles) novel concepts and research findings, where appropriate. Essential Knowledge, Skills and Experience: PhD or equivalent industry experience in a relevant discipline Several years of expertise in the application of AI/ML and/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing Acoustic data processing (including sonar) Distributed sensing and processing Autonomy Human machine teaming Space-domain Awareness (SDA) Positioning, navigation, and timing Pattern of life analytics Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

Location London, Milton Keynes or East Kilbride - You will be required to work from this location in line with FCDO policies on Hybrid Working (minimum 60% in the office). About the job Job summary The Foreign, Commonwealth & Development Office pursues our national interests and projects the UK's role in the world. We promote the interests of British citizens, safeguard the UK's security, defend our values, reduce poverty and tackle global challenges with our international partners. We employ more than 17,000 staff in 179 countries and territories, across our diplomatic and development offices worldwide, which consists of 282 officially designated Posts. Our UK-based staff work in King Charles Street, London, Abercrombie House in East Kilbride and in Milton Keynes. Information and Digital Directorate (IDD) is responsible for delivering the Foreign Secretary's ambition to make the FCDO the most technologically integrated and innovative foreign ministry globally. This means harnessing digital, data, technology, IT security and information management to support the FCDO and UK Government partners on our platform to deliver our diplomatic, development and consular aims. All while keeping our people and information safe, especially from hostile actors. The work we do is varied - from historical analysis and library services to cyber protection, from information rights to global network management, from supporting staff in using the latest Microsoft toolsets, to creating corporate applications, harnessing AI and much more in line with the FCDO Digital, Data and Technology (DDaT) Strategy. The Directorate is made up of a wide range of talented staff and experts including specialist, contractors, home civil servants and diplomats who have served overseas. Job description This position offers the exceptional opportunity of coordinating the FCDO's use of interesting new data science, AI, mathematical and computing techniques, helping improve the use of data to inform decisions in everything it does, as well as leading our approach to how we deliver analytics to users. The role is part of the Government Digital and Data (GDD) Profession, formerly known as the Digital, Data and Technology (DDaT) Profession. You will be responsible for guiding strategy, personal development and specific technical approaches for Data Scientists across the whole of the FCDO. You will also lead our enterprise Power BI team who are responsible for the management and governance of the Power BI service and delivering innovative analytical products. Working within the Enterprise Data Service will help you achieve common goals, making sure that your team and the wider FCDO enjoys data infrastructure and architecture that easily feed useful data into your algorithms, while also letting your Data Scientists focus their expertise by serving non-analytical data automation needs (like dashboarding) through its Data Analysts. Roles and Responsibilities The successful candidate will: Set direction, build capability and support the professional development and specific technical approaches for Data Scientists across the whole of FCDO. Promote digital development best practices (coding standards, version control, automated deployment) for the team and the wider Data Science community. Work with peers in the Enterprise Data Service to provide suitable infrastructure platform resources and expertise to achieve all goals. Plan, manage and run agile data science projects using appropriate techniques. Develop an approach to managing and prioritising demand from the organisation while also developing the data science offer in support of FCDOs strategic aims. Deploy the team as internal entrepreneurs, to identify opportunities and pioneer Data Science initiatives across FCDO: coaching colleagues to automate their routine analyses while spotting opportunities to produce innovative new insights, using tools like R and Python. Communicate and present data science effectively to ministers and senior leaders, explaining clearly the opportunities while balancing limitations, risks and ethics. Work across UK Government and the international community to identify areas for collaboration and promotion of success. Directly manage Data Scientists in the Enterprise Data Service and have professional oversight for the use of data science in novel analysis, operational automation and data exploitation, working with Data Scientists across the organisation. You will have many opportunities to learn, deepening your technical expertise, understanding how an international organisation works across diplomacy and development and building your own personal leadership. The FCDO also operates an agile workforce. To facilitate this, you may be required to undertake other duties from time to time as we may reasonably require. Candidates who secure a role that is considered specialist/technical, may be required to affiliate to the relevant specialist network, if not already a member. You may be required to travel in the UK with possible travel abroad. This will include visiting our teams in the UK at our London, East Kilbride and Hanslope Park sites, a few times a year. If International travel is required, it will be less frequent involving only short visits to some missions and embassies once or twice a year Person specification It is essential in your application that you provide evidence and proven examples in each of the following Minimum Criteria, Behaviours and Technical as far as you are able to do so. These responses will be further developed and discussed with those candidates invited for interview. You must be a British Citizen at the time of application and, if invited to interview, you will need to bring proof of identity (British Passport/Driving Licence etc.) with you. This role requires you to attain Developed Vetting (DV) security clearance. For more information about this process, click here. Attaining DV will require you to have been resident in the UK for five of the last ten years. At least one year of this must have been a consecutive twelve-month period. Serving overseas with HM Forces, in some other official capacity as a representative of His Majesty's Government or having lived overseas as a result of your parents' or partner's Government employment counts as UK residency for the purposes of security clearances. Minimum Criteria Demonstrable track record of delivering the key skills outlined in the Head of Data Science role in the Profession Capability Framework at Expert level (Applied maths, statistics and scientific practices, Developing Data Science capability and Delivering business impact). Practical senior leadership experience and deep technical data science experience Experience of Data leadership role - leading data teams to deliver modern solutions for data-driven organisations. Ability to research, benchmark, scope, design, implement and evaluate project delivery to tight deadlines. Proactive approach and a focus on continuous improvement of self and service, with an appetite to work with others to simplify processes and improve efficiency. Experience of planning, prioritising and communicating the work of a small team to balance long-term and immediate demands. Behaviours We'll assess you against these behaviours during the selection process: Communicating and Influencing Working Together Changing and Improving Leadership We only ask for evidence of these behaviours on your application form: Communicating and Influencing Technical skills We'll assess you against these technical skills during the selection process: DDaT: Developing Data Science capability (Expert) -hidden link- DDaT: Applied maths, statistics and scientific practices (Expert) -hidden link- DDaT: Developing Data Science capability (Expert) -hidden link- DDaT: Delivering business impact (Expert) -hidden link- Presentation at the Interview and the topic will be sent to you in advance. The skills that will be tested in the presentation are: DDaT: Developing Data Science capability (Expert) Communicating and Influencing Behaviour We only ask for evidence of these technical skills on your application form: DDaT: Developing Data Science capability (Expert) -hidden link-