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Data Analyst with Big Data – Canary Wharf Our Client is seeking a Data Analyst for the Data Products team is driving innovations in the Financial Services Sector using Big Data. The Client has a high-calibre, focused and a mission-driven team. The models we build and the analysis that we derive from financial data matters to crucial cutting-edge business decisions made across the global financial services firms every day and provides insight into real world problems. In this role, you will gain a deep understanding of income and expense transactions, financial classifications, and long term financial management within the UK market. You will participate in customer and partner calls to review requirements and client needs. You will quickly gain an understanding how local income and expense calculations, and financial management best practices can be leveraged to deliver financial wellness tools in the UK market. This role will allow you to partner analytics teams to review and enhance data categorization for key income and expense transactions, develop a specification for both rules based and machine learning driven enhancements to categorization by defining transaction types. You will also interact closely with the Financial Product team to provide requirements to localize the financial management tools for the UK market. You will perform regular and ongoing analysis on consumer transactions to identify methods for improved categorization, testing and certifying enhancements, and validating performance metrics. You will also work with the Financial Wellness Product team to adapt their products for the UK market. This requires you to develop a deep understanding of the UK financial management space in order to develop an ongoing UK roadmap with the rest of the Financial product team. Must have a Bachelor's Degree coupled with 2 – 4 years of experience in software-oriented Product Management, preferably in financial services. Experience in financial modelling and possessing knowledge of the financial services and transactions. Experience/Interest in analysing data and a high attention to detail especially in regards to data cleansing You possess superb written & oral communication skills. You have analytical skills with a background in financial analysis and carefully seek to understand underlying business needs, both on a market level as well as from individual client/prospects. You are adaptable and can work successfully in a technical environment as a non-technical leader. The ideal candidate is inquisitive and highly detail oriented. You are focused on execution and are able to make definitive decisions in uncertain environments with limited data. This is a 3 month contract assignment initially. Please send your CV to us in Word format along with your daily rate and availability.

Enterprise Data Architect As the enterprise data architect, you will own the programme pipeline for developing our data architecture strategy, including translation of our goals and objectives into enriched data dashboards. You will define and direct SXSW London's target data architecture (inc. shared data environments, data model and standards) in support of our business strategy, ensuring that data is accurate, secure and accessible to meet the needs of senior executives and department heads. Responsibilities Accountable for the data architecture & design, including implementation of company-wide data models, incorporating relevant governance frameworks, and architectural standards. Develop architectural solutions resulting in a single source of truth data lake warehouse, utilising Power Bi with built-in AI design considerations. Lead the design and development of scalable data pipelines and solutions, which support our event operations across our customer journey and channels. Collaborate with stakeholders and external technology partners to promote consistent and value driven data usage. Communicate the value of data management, through workshops and proof of concepts in partnership with business and technology partners Develop data architecture governance and standards, regarding data models and capabilities, including ability to logically model marketing and financial data. Connect disparate sources to provide seamless data access. Define KPI and Metrics for data dashboard. Map existing data sources and identity data access points. Create dedicated stakeholder UAT group for continuous output assessment. Build an executive dashboard. Configure integration and workflows. Create automation and refresh schedules. Setup training and confidence workshops. Integrating ML and AI into dashboard reporting Required Deep knowledge of modern data architecture. Experience within Cloud platforms (Azure, AWS, Databricks). Strong understanding of ETL/ELT, API's and integration patterns. Strong communication and stakeholder engagement. 5years+ in data architecture or related fields. Deep understanding of Information Security, alongside privacy and compliance regulations. Proven experience in enterprise-scale data modelling. Expertise in metadata management. Excellent analytical, planning, organisational and technical skills along with excellent written and verbal communication skills. Experience in translating complex technological requirements to an audience with minimal technical insight. This is a hybrid position based in the City of London. The position is a 6 month FTC role. The salary for this role will be circa £40K - £45K. Do send your CV to us in Word format along with your salary and availability.

At CGI, data drives better decisions, improved services and meaningful outcomes for our clients. As a Data Analyst, you'll play a key role in helping our client unlock the value of data by transforming complex information into actionable insights. Working with modern Azure technologies and powerful analytics tools, you'll contribute to projects that improve reporting, inform strategic decisions and support the delivery of critical national infrastructure. You'll collaborate with experienced professionals in a supportive environment where you're encouraged to take ownership, develop innovative solutions and continuously grow your technical expertise. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.

At CGI, we empower the next generation of innovators to shape the future of technology and security. As part of #GenerationCGI, you'll join a community of graduates who are turning ambition into action and possibility into progress. As a Technical Graduate specialising in Data Analytics and Data Science, you'll use data to uncover insights, solve complex problems and support better decisions. You could be analysing large datasets, developing data models, building data pipelines or exploring how artificial intelligence and machine learning can create meaningful outcomes. You'll be trusted with responsibility from the start, working alongside experienced colleagues on live projects across a range of industries. You'll develop your technical expertise while helping clients transform data into practical solutions that make a real difference.

Big Data Scientist – Docklands London Our Client an international organisation is looking to recruit a Big Data Expert with 2 to 5 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 in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability details.

Job Title: Data Engineer Location: Liverpool, UK Salary: £65,000 - £70,000 per annum, depending on experience Job Type: Permanent, Full Time Working Hours: 37.5 hours per week, Monday to Friday, 9am to 5:30pm We are seeking a talented and experienced Data Engineer to join our innovative and collaborative Database and AI Team. In this role, you will play a key part in shaping our data strategy and driving business success. Your skills will contribute directly to our forward-thinking initiatives. At Acorn we value and prioritise innovation, teamwork, and continuous development. Key part of this role is to support our strategic data goals, ensuring system resilience and performance, and building secure, scalable database architectures. What you will be doing: Design and implement robust data ingestion pipelines for unstructured data using modern data engineering tools and frameworks. Develop and maintain scalable storage solutions (e.g., data lakes, NoSQL databases) optimized for unstructured data. Collaborate with data scientists, analysts, and software engineers to ensure data availability, quality, and usability. Apply data parsing, extraction, and transformation techniques (e.g., NLP, OCR, image/audio processing). Implement data governance, metadata management, and data cataloging for unstructured data assets. Monitor and optimize data workflows for performance, reliability, and cost-efficiency. Ensure compliance with data privacy and security standards. Share knowledge and mentor team members Stay ahead of the curve with the latest database technologies Experience of real time cloud streaming solutions What we are looking for: Essential Skills: Experience dealing with unstructured data including voice, chat, image Proven ability to manage secure, high-performance database environments Excellent communication and cross-functional collaboration skills A passion for continuous learning and innovation Desirable skill: Databricks Azure Fabric Confluent/Apache Flink Knowledge Grow with Acorn At Acorn Insurance, we're proud of our Liverpool roots - and even prouder of how far we've come. As part of the Acorn Group, we bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK and reached a milestone £750 million in total value of insurance policies written in 2024. We're growing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement Benefits: A maximum of 35 days' holiday (including bank holidays) with additional buy/sell options 24/7 mental health support & free counselling available Grow with us: Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Recognition awards, social events & more Our Commitment to our colleague's: These aren't just words - they're the principles we live by. And we're proud to back them up with real action, earning recognition and accreditation from leading organisations that share our commitment to people and growth: Mindful Employer - championing mental health and wellbeing Disability Confident Level 1 & 2 - creating accessible, inclusive opportunities Menopause Friendly accredited - supporting every stage of life Armed Forces Covenant signatory - honouring those who serve Great Places to Work 2024/25 - fostering an engaging and positive workplace culture Best Place to Work for Development - proud to be investing in people's future Best Place to Work for Women - breaking down barriers to women's career progression A Few Things to Know Before You Apply: If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements: Because our training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You: We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support, we'll work with you to make sure you can do your best work. Please click the APPLY button to submit your CV for this role. Candidates with experience or relevant job titles of; Cloud Data Engineer, Data Platform Engineer, Data Analytics Engineer, Data Solution Architect, Database Architect, Infrastructure Engineer may also be considered for this role.

Data Analyst - Holborn London Our Client is looking to recruit a Data Analyst with at least 5 years proven experience. As a Data Analyst you will ensure that all data is processed and quality assured so that it can be analysed through appropriate systems with a view to the production of reports that can assist the Client services and other stakeholders make effective decisions and support the assessment of indicators and other business intelligence processes.. Key responsibilities: Day to day implementation and overview of the business's data strategy to ensure that organisational data is systematised with a view to optimising business intelligence and decision-making. Clear knowledge of all the data sources within the organisation, including the CRM and other information systems, and ability to work on those sources either individually, together or identify new sources that can inform effective operation. Knowledge of all relevant procedures to ensure that optimal data is used, including the cleaning, analysis and processing of data. Putting in place effective and robust systems of quality to ensure the highest integrity of data. Working with the IT department on data analysis, including developing key formulas, working with APIs and data mining, particularly through appropriate relational and other data bases, with a view to extracting the information that is needed for the growth of the organisation. Enabling the effective and accurate production of all reports, visuals, dashboards and other outputs to allow different parts of the organisation to make better individual and collective decisions. Facilitating the transformation of data to information and knowledge, and helping the different parts of the organisation to share such information and knowledge so as to maximise collaboration and the aims of the organisation. Supporting business intelligence so that the decisions are underpinned by key, effective and relevant data. Enabling the organisation to measure key performance and other indicators and score carding, and contributing to the development of metric and indicator-based systems that allow for integration and a system of continuous improvement. Collaborating with all departments including the IT department, education and training, marketing and policy and research on data usage. Minimising all data risks, security breaches, financial and other risks and working with relevant services to ensure that data is handled in a way that is compliant with relevant legislation and other frameworks. Furthering a data culture that enables the organisation to meet the needs of its stakeholders, both nationally and internationally, including its members. The following skills are Essential: Relevant higher education qualification in data analysis, including programming languages such as Python and SQL. Substantial experience working in data analysis within an organisational setting. Excellent problem solving, analytical and business intelligence skills, especially working with large datasets. Excellent written and verbal communication skills in the English language. Ability to manage multiple projects adhering to logistics, timescales and deadlines. IT literate and experience of using MS Dynamics and Office (including Word, Excel and Outlook). Experience of using visualisation tools such as PowerBI. The Client is based in Holborn London. The salary for this role will be in the range £40K - £45K. Do send your CV to us in Word format and include your salary availability.

Job title: Data Analyst Location: London - Hybrid Contract: 6 months, with possibility of extension Clearance: SC Cleared or eligible to obtain SC clearance We are currently recruiting for an experienced Data Analyst to support a major programme based in London. The successful candidate will work with complex datasets to support analysis, reporting and data-driven decision-making. The role requires strong SQL capability alongside practical experience working with POLE data. Key Responsibilities * Analyse large and complex datasets to identify trends, patterns and actionable insights. * Write, optimise and maintain complex SQL queries. * Work with POLEv2 data structures and associated data models. * Support data mapping, transformation and validation activities. * Extract, cleanse and manipulate data from multiple sources. * Investigate data quality issues and support remediation activities. * Produce accurate analysis and reporting to support programme and business requirements. * Work closely with technical teams, data engineers, architects and business stakeholders. * Translate business requirements into clear analytical outputs. * Validate datasets and ensure data is complete, consistent and reliable. * Support the development and maintenance of reporting and analytical solutions. * Document data definitions, mappings, processes and analytical outputs. * Contribute to continuous improvement of data quality, reporting and analytical processes. Essential Skills & Experience Candidates should have strong commercial experience in: * SQL - strong hands-on experience writing and analysing complex queries. * POLEv2 - practical experience working with POLEv2 data, data structures or data mapping. * Data analysis and interpretation. * Data cleansing, validation and quality assurance. * Working with large and complex datasets. * Data mapping and transformation. * Identifying and resolving data-quality issues. * Producing clear analytical outputs and reports. * Translating business requirements into data and reporting requirements. * Strong attention to detail and analytical problem-solving skills. * Working collaboratively with technical and non-technical stakeholders. Desirable Experience Experience in any of the following would be beneficial: * Data modelling. * ETL or data transformation processes. * Reporting and visualisation tools. * Cloud-based data platforms. * Python or other analytical programming languages. * Working within large-scale enterprise or public-sector programmes. * Experience handling sensitive or security-classified data environments. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.