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Data Scientist (Energy) drives the development and delivery of cutting-edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real-world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co-develop impactful solutions. The engineer contributes technical expertise to data-driven initiatives, shaping models, algorithms, and analytical approaches that support decision-making and innovation outcomes. They play a hands-on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience: . Experience within the energy sector, ideally focused on electricity networks or smart grids . Experience applying AI/ML technologies in engineering or operational settings . Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks . Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities . Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience. . Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications. . Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. . Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. . Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment.

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 – 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.

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.

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.

We have a current opportunity for a GenAI Software Engineer/Data Scientist on a contract basis candidates mustbe SC Cleared. The position will be based in London. For further information about this position please apply. Please click to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

A Data Scientist working within the NCCU will utilise technology to aid investigations, exploiting modern machine learning techniques with the best data science tools to cause real world impact against cyber criminals. They will collate and manipulate large datasets to create analytical products that inform NCA operational delivery and will play a key role in embedding the use of data science across the Agency. Our Data Science team make extensive use of Python; some awareness of AWS would be beneficial too. A Cyber Engineer will work in one of the following teams depending on expertise: Cloud Engineering, Cryptocurrency Cell, or Research & Development. You will make a direct contribution to Operations through the use of technology. This will range from the development and deployment of capabilities covered under the Investigatory Powers Act, through to systems to analyse and exploit data at pace. Our Cloud Engineers work predominantly in AWS and Python. For Cryptocurrency, an awareness of Python and/or SQL would be beneficial in addition to cryptocurrency knowledge. For Research & Development, knowledge of different operating systems (mainly Linux) is essential and some knowledge of Python will be useful. An Infrastructure Investigator utilises their knowledge and the available tools within the NCCU to analyse and identify criminally controlled infrastructure. Supporting operations through analytical products and the production of technical reports to highlight technical or legislative outcomes. In addition to domain knowledge, some knowledge of Python, AWS, or ElasticSearch would be beneficial too. The remit of Cyber Engineering is to research and develop tools to further NCCU operational and intelligence work and create bespoke solutions during “Crime in action” scenarios. Cyber Engineering works across the NCA and with a range of partners to develop this niche catalogue of capabilities. Depending upon your experience – you will work as either a Data Scientist, Cyber Engineer, or Infrastructure Investigator. A Data Scientist working within the NCCU will utilise technology to aid investigations, exploiting modern machine learning techniques with the best data science tools to cause real world impact against cyber criminals. They will collate and manipulate large datasets to create analytical products that inform NCA operational delivery and will play a key role in embedding the use of data science across the Agency. A Cyber Engineer will work in one of the following teams depending on expertise: Software Development, Cryptocurrency Cell, or Research & Development. You will make a direct contribution to Operations through the use of technology. This will range from the development and deployment of capabilities covered under the Investigatory Powers Act, through to systems to analyse and exploit data at pace. An Infrastructure Investigator utilises their knowledge and the available tools within the NCCU to analyse and identify criminally controlled infrastructure. Supporting operations through analytical products and the production of technical reports to highlight technical or legislative outcomes

As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality

Pricing Analyst London - Hybrid £35,000 - £45,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working Are you looking to join a company that can propel your career forward, and also provide you with a brilliant package so you enjoy your life inside and outside of work? Are you looking to play a key part in an exciting team in a highly reputable business? This company offer a brilliant service and are the leading car leasing company within the UK. With a fantastic client base and working with some of the biggest brands out there you would be joining a great company where you will feel valued and part of a team. In this role you will work in a small team with like minded analysts out of the asset risk team to provide market knowledge and insight regarding the pricing of the companies assets. Working with Data Scientists within the business and using market data you will provide insight to stakeholders and managers regarding the the companies pricing of vehicles showcasing your stakeholder management skills and data analytics skills. The ideal candidate will be able to analyse data and provide insight to report findings to key stakeholders and managers therefore having excellent communication skills. You will need to have had previous pricing analyst experience and be able to work as an individual but also collaboratively. Strong excel skills is required. SQL/Snowflake/Power BI is advantageous but not essential. This is a fantastic opportunity for a Insight Analyst to join a fantastic and rewarding company and continue the growth and development in their career with great progression opportunities and work life balance at this company. The Role: Collaborate with a small team of analysts in Asset Risk team to deliver market insights on pricing. Work closely with Data Scientists and utilise market data to inform pricing decisions with stakholders. Showcase excel and Power BI skills The Person: Strong analytical skills with the ability to interpret data and provide actionable insights within pricing. Excellent communication skills to effectively present findings to stakeholders and managers. Previous experience in a pricing analyst role. Able to work independently while also contributing collaboratively within a team. Can commute to central London 3 times per week.