Find your next tech and IT Job or contract Data Scientist in United Kingdom

???? Elevate Your Career: Join a Market Leader in Automation Technology???? Data Scientist Position- Up to £95,000 + Benefits - Remote First (UK) - Office Visit Once a Month Are you ready to make your mark in the world of AI and data science? This is your chance to join a cutting-edge company at the forefront of Automation Technology. With increasing profits and renewed success, our company is expanding, making now the perfect time to join our dynamic team. Why This Role is Unique: As the first dedicated Data Scientist within our organisation, you will play a pivotal role in building our AI and data capabilities from the ground up. This is a hands-on position where you'll have the autonomy to innovate and drive impactful AI solutions, with the potential to grow and lead a data science team in the near future. Key Responsibilities: • AI Innovation: Develop and implement next-generation AI solutions to revolutionize our automation and supply chain software. • Data Mastery: Utilize your expertise in R/Python, SQL, and Azure to extract, analyse, and interpret complex data sets. • Machine Learning: Design and deploy machine learning models that drive business insights and operational efficiencies. • Cutting-Edge Tools: Leverage advanced AI tools (e.g., Copilot) to enhance data-driven decision-making. • Platform Integration: Build and optimize data platforms to support scalable, robust data solutions. What We're Looking For: • Technical Proficiency: Strong experience with R/Python, SQL, Azure, and AI tools. • Machine Learning Expertise: Proven track record in developing and deploying machine learning models. • Data Platform Experience: Solid understanding of data platforms and their integration within a business context. • Innovative Mindset: A hands-on, practical approach to problem-solving, with a passion for building and scaling AI capabilities. What We Offer: • Competitive Salary: Up to £95,000 • Remote First: Work remotely with the flexibility to visit the office once a month. • Work-Life Balance: 37.5 hours per week (Monday-Friday). • Generous Leave: 25 days holiday + public holidays, rising to 30 days after 5 years. Option to purchase up to 4 additional days annually. • Pension & Assurance: 3% employer pension contribution (Scottish Widows) and life assurance (2x basic salary). • Perks & Benefits: Access to Perkbox and Medicash, and eligibility to join our electric vehicle scheme. • Continuous Learning: Exposure to new technology with company-sponsored learning and development opportunities. Why Join Us? At our company, we are constantly evolving and staying ahead of the latest technological advancements. This is a fantastic opportunity to be part of an innovative environment where your skills will be valued and your career growth encouraged. You will have the chance to work on groundbreaking AI solutions that have a real impact on our industry. Ready to Make an Impact? If you are a dynamic Data Scientist looking to be a key member of an exciting technology company, we want to hear from you! Apply now and take the next step in your career with us. Ignite your potential with us - where innovation meets opportunity! To find out more about Computer Futures please visit XX XX XX XX XX 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

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.

???? Elevate Your Career: Join a Market Leader in Automation Technology???? Data Scientist - Up to £95,000 + Benefits - Remote First (UK) - Office Visit Once a Month Are you ready to make your mark in the world of AI and data science? This is your chance to join a cutting-edge company at the forefront of Automation Technology. With increasing profits and renewed success, our company is expanding, making now the perfect time to join our dynamic team. Why This Role is Unique: As the first dedicated Data Scientist within our organisation, you will play a pivotal role in building our AI and data capabilities from the ground up. This is a hands-on position where you'll have the autonomy to innovate and drive impactful AI solutions, with the potential to grow and lead a data science team in the near future. Key Responsibilities: • AI Innovation: Develop and implement next-generation AI solutions to revolutionise our automation and supply chain software. • Data Mastery: Utilise your expertise in R/Python, SQL, and Azure to extract, analyse, and interpret complex data sets. • Machine Learning: Design and deploy machine learning models that drive business insights and operational efficiencies. • Cutting-Edge Tools: Leverage advanced AI tools (e.g., Copilot) to enhance data-driven decision-making. • Platform Integration: Build and optimize data platforms to support scalable, robust data solutions. What We're Looking For: • Technical Proficiency: Strong experience with R/Python, SQL, Azure, and AI tools. • Machine Learning Expertise: Proven track record in developing and deploying machine learning models. • Data Platform Experience: Solid understanding of data platforms and their integration within a business context. • Innovative Mindset: A hands-on, practical approach to problem-solving, with a passion for building and scaling AI capabilities. What We Offer: • Competitive Salary: Up to £95,000 • Remote First: Work remotely with the flexibility to visit the office once a month. • Work-Life Balance: 37.5 hours per week (Monday-Friday). • Generous Leave: 25 days holiday + public holidays, rising to 30 days after 5 years. Option to purchase up to 4 additional days annually. • Pension & Assurance: 3% employer pension contribution (Scottish Widows) and life assurance (2x basic salary). • Perks & Benefits: Access to Perkbox and Medicash, and eligibility to join our electric vehicle scheme. • Continuous Learning: Exposure to new technology with company-sponsored learning and development opportunities. Why Join Us? At our company, we are constantly evolving and staying ahead of the latest technological advancements. This is a fantastic opportunity to be part of an innovative environment where your skills will be valued and your career growth encouraged. You will have the chance to work on groundbreaking AI solutions that have a real impact on our industry. Ready to Make an Impact? If you are a dynamic Data Scientist looking to be a key member of an exciting technology company, we want to hear from you! Apply now and take the next step in your career with us. Ignite your potential with us - where innovation meets opportunity! To find out more about Computer Futures please visit XX XX XX XX XX 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

Academic research with real industrial applications This world-class research centre is focused on delivering the science needed to advance UK capabilities in AI and Data Science for the defence and security domains. They conduct pioneering research, publishing papers and releasing proof-of-concept software and hardware systems. They are seeking a versatile scientist to join the team. They use modern machine learning / data science techniques and algorithms to solve these challenging problems. They work in a variety of areas including radar, communications, electronic warfare, and AI itself. The core of their work is developing fundamentally new approaches and taking advantage of recent breakthroughs in ML. Specific domain knowledge of the problem areas is not required, but a good general background in Physics is. Requirements: • PhD in a STEM subject which has provided exposure to modern machine learning / data science techniques • Strong and holistic background in Physics • Confident communicator prepared to present work at academic conferences and write formal papers for publication • Fluency in Python for Machine Learning development You will be working in well appointed offices in central London alongside other high achieving academics. Your work will have tangible results and part of your job will be to ensure successful transfer to industrial partners. As a highly research orientated organisation, hybrid working is the norm, with only 1-2 days per week required in the office. This is a fixed-term contract role for 18-months, but with further funding your role may be continued. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: TJ27405 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Senior 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 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 startup environment or a leading Tech company. Demonstrable 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). Reference Number: BBBH251711 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.

Do you have a degree in a discipline with numerical or statistical elements, or a demonstrable portfolio of data science and machine learning? If so, we would like to hear from you! As a Data Scientist or Senior Data Scientist, you'll work on high-impact projects using machine learning, NLP, computer vision, and time series analysis. This is meaningful, purpose-led work at the heart of one of the UK's most ambitious digital transformation programmes. Job description What You'll Do: Understand where Data Science can add value within HM Land Registry Apply advanced techniques across NLP, vision, and more Collaborate with cross-functional teams to drive innovation Contribute to a culture of learning, mentoring and inclusion Lead projects and mentor others (for senior roles) For more information about the role, please see the attached candidate pack. Person specification What We're Looking For: Experience in data science or machine learning Proficiency in Python, R or similar Knowledge of NLP, time series or vision techniques A collaborative mindset and a drive to make a difference Leadership and mentoring experience (for senior roles) For more information about the role, please see the the attached candidate pack and click on the "Apply at advertiser's site Link". Salary for HEO Data Scientists: HM Land Registry is implementing a capability-based pay model across the Digital and Data profession. In addition to the published salary, there may be the opportunity to earn a non-contractual, non-pensionable pay supplement based on your assessed capability. It is anticipated that payment of the new supplement for HEO Data Scientists will commence in January 2026. As part of your application and interview process, your capability will be assessed against the Government Digital and Data Capability Framework. Depending on your assessed level of capability you may be eligible for a salary from January '26 of £41,100 if you are assessed as 'Developing', rising to £44,400 for an 'Accomplished' rating. Salary for SEO Senior Data Scientists: £46,058 - £57,400. This role is eligible for the Government Digital and Data Capability Framework, please see the candidate pack for more information. Qualifications A degree in a discipline with numerical or statistical elements; OR equivalent experience. For SEO, you will need a degree in a discipline with numerical or statistical elements; OR demonstrable portfolio of data science and machine learning.

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. BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. We are looking for candidates who are adaptable, enthusiastic and highly motivated. 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. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are particularly interested in candidates with considerable experience in applying AI/ML and developing/tunning state-of-the-art algorithms in one or more of the following application areas: electronic/electromagnetic warfare and CEMA, acoustic data processing, radar in general, object tracking, sensor data fusion, space-domain awareness, (A)PNT, autonomy, human machine teaming and edge ML. Prior experience in managing and leading the delivery of research projects and teams is high desirable. 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. Knowledge, Skills and Experience: Having a PhD or equivalent industry experience in a relevant discipline is essential for this role. You will also have 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. 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 Experience in software development for proof of concept in Python is essential Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. is essential Current right to work in the UK is essential Evidence of publication in relevant journals and conferences is highly advantageous. Appetite for working in a secure environment is desirable but not essential. 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.

Senior Data Analyst / BA (Python SQL Tableau) London / WFH to £85k Are you a tech savvy Data Analyst with a good understanding of logistics / transport? You could be progressing your career in a senior, hands-on Senior Data Analyst / BA role at a scale-up tech company, that enables smart matching for commercial van drivers and consumers, via job bidding and route optimisation, streamlining processes and delivering CO2 carbon neutral targets, the company has been established 10 years, with recent funding of £125 million. You'll be working on complex and interesting systems and can enjoy a range of benefits and perks. As a Senior Data Analyst on the Routing Team you will be collaborating with c-suite business stakeholders, data scientists, product leaders, and operations leaders to shape and scale the core algorithmic decision-making platform across multiple countries. Responsibilities will include end-to-end KPI management, definition, monitoring and reporting on core routing metrics, building interactive dashboards to uncover trends, anomalies and opportunities for optimisation and improvement; leading deep-dive analysis you'll create compelling narratives around quantitative insights to influence product roadmaps and decision making. You'll design, run and analyse A/B tests and simulations to validate hypothesis, partnering with data scientists to recommend improvements based on impact, feasibility and strategy. There's an emphasis on getting stuff done and immediate business impact, alongside longer term strategy. Location / WFH: There's a hybrid work from home model with three days a week in the Hammersmith office and the other two work from home. When in the office you can enjoy the onsite gym, barista coffee and free breakfast. About you: You have significant experience in an analytical logistics role, ideally within two-sided marketplace, last-mile logistics or eCommerce environments You have experience of driving logistics network optimisation and cost-reduction strategies You have advanced SQL, Python and dashboarding (e.g. Tableau) skills You have experience of designing, executing and analysing A/B tests or large-scale simulations to deliver business impact You have excellent communication, collaboration and stakeholder management skills What's in it for you: As a Senior Data Analyst / BA you will receive a competitive package: Salary to £85k 25 days holiday (increasing to 30), plus Christmas Eve Vitality healthcare plus a host of wellbeing benefits Pension Family leave and enhanced maternity scheme Continual career and self development opportunities Onsite gym, and partnership with Octopus Electric Vehicles and Evans Cycle to Work scheme, theres showers and towels if you do decide to cycle! Apply now to find out more about this Senior Data Analyst / BA (Python SQL Tableau) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Job Title: Technical Data Analyst Location: Hybrid (2-3 days per week in office - Farnborough) Salary : Competitive Working Hours: Full Time Key Responsibilities: Assessment of data workflows & interfaces status quo, comparing them vs industry best practices & automating ETL processes where feasible. Core development skillsets are required, with particular focus on SQL, Microsoft SQL, Integration Services & Python. Development & reporting services for business-critical daily, weekly & monthly performance management figures. Completeness & accuracy a must. Ability to work on own initiative without direct supervision with a high commitment for delivery and quality. Project co-ordination with key stakeholders to ensure communication & transparency. Establishment of regular alignment meetings. Proposal of improvements for interface ecosystem standardization & database processes optimisation. Document all business requirements for a successful interface ecosystem maintenance & improvement. Previous experience of cloud data migration or Kafka event store/streaming technology would be a nice to have for future implementations. About you: Professional experience: Ideal candidate would have experience in: Data & complex process analysis using SQL Python programming for automation Business intelligence implementation i.e. PowerBI & Amazon QuickSight Process automation i.e. Python Education: Bachelor degree in STEM or related preferred Language skills: English (native level C2) Benefits: Competitive Salary Bonus incentive 25 days annual leave (plus Bank Holidays) Pension Plan Private Insurance Cash back health care scheme Potential to progress within the company, with global opportunities updated regularly Please click on the APPLY button to send your CV and Cover Letter for this role. Candidates with the experience or relevant job titles of; Data Scientist, Data Solutions analyst, Business Insight Analyst, Data Insight Analyst, Data modelling, Statistician, and Data Modelling will be considered for this role.

Data Engineer (Security Clearance) Position Description The Space, Defence and Intelligence business unit in CGI is a true IT Systems Integrator. We work, build, and operate bespoke, technically complex, mission-critical systems which help our clients keep us all safe and secure. We bring innovation to our clients using proven and emerging technologies, agile delivery processes and our deep expertise across the breadth of space, defence, intelligence, aerospace and maritime, all underpinned by our end-to-end cyber capability. We work collaboratively with global technology companies, cutting edge SMEs and academia to deliver the optimal solution for each client. We're seeking a Senior Data Engineer to design and lead the implementation of data flows between operational systems and BI/analytics platforms. Our Data Services team manages the ingestion, storage, and availability of diverse datasets, enabling analysts and data scientists to generate insights that support operational and tactical decisions. We're expanding our team of Data Engineers to ingest new datasets and maintain existing ones ensuring data is well-formatted, complete, high-quality, and accessible for analysis. Your future duties and responsibilities Lead the design and implementation of robust data flows, connecting operational systems with business intelligence platforms. As part of the Data Services team, you'll play a key role in ensuring datasets are high-quality, discoverable, and accessible, empowering analysts and data scientists to generate actionable insights. Your focus will be on bringing in new datasets, maintaining existing ones, and ensuring data consistency, usability, and availability across the organisation. Key Responsibilities • Ingest and integrate new datasets based on operational needs • Ensure datasets are clean, complete, well-formatted, and analytics-ready • Investigate and resolve data defects or discrepancies • Maintain the dataset catalogue and data dictionary for discoverability • Support continuous improvement of dataset quality, usability, and coherence Data Analysis & Engineering • Profile data sources and present clear insights • Design, build, and test scalable, complex data solutions • Improve raw data through conformed dataset design Innovation & Integration • Understand trends in data tools and analytics • Select and implement resilient, scalable technologies Systems & Data Design • Create and refine system and data models aligned to stakeholder needs • Apply modelling standards and design methods across data domains Metadata & Data Management • Ensure metadata quality and consistency • Implement master data management and integrity processes Problem Solving & Development • Monitor and resolve data-related issues • Design and maintain programs/scripts to support data engineering pipelines • Conduct and automate testing to ensure robust data workflows Required qualifications to be successful in this role • Proven experience designing, building, and maintaining scalable data pipelines and ETL processes • Strong proficiency in data modelling, integration design, and working with large, complex datasets • Ability to profile data, resolve data quality issues, and manage metadata/catalogues effectively • Skilled in communicating complex technical concepts to both technical and non-technical stakeholders • Proficient in programming (e.g. Python, SQL) and using modern data engineering tools and platforms (e.g. cloud services, data warehouses, orchestration tools) #LI-JS2 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because... You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.