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

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. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. 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. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. 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. Responsibilities: Translate data requirements from across the organisation into robust and reusable models Considerations towards model risk and governance Maintain consistent and clear documentation and communicate with business stakeholders (both technical and non-technical) Collaborate with the wider data team to help meet the business goals, including peer reviews Self-starter with ability to think outside the box and evolve projects. Take ownership of a project end-to-end and manage priorities accordingly Requirements Experience with Consumer Behaviour Modelling. To include but not limited to: Vulnerable Customer Identification Transaction models i.e. Gambling, Spending, Income Deriving insights from banking data and third party external data Model Monitoring Strong experience with SQL & Python Experience supporting and working with cross-functional teams in a dynamic environment Model deployment Version control using GitHub or similar Desirables: Strong experience with dbt, dimensional modelling, GCP and Looker or a desire to learn Third party data acquisition 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 - 30 mins with one of the team Stage 2 - Take-home challenge Stage 3 - 60 mins technical interview with two team members Stage 4 - 45 min final with an two executives 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.

AI Engineer / Data Scientist - Contract Position in London An exciting contract opportunity has arisen for a skilled AI Engineer / Data Scientist in the vibrant heart of London. We are seeking a dynamic individual who can harness the power of data and machine learning technologies to drive innovation and improve processes. Role Overview: • Location: London, United Kingdom • Type: Contract • Requires commuting to Dublin once a month • Sector: Technology Required Skills: • LLM (Latent Log-linear Model): Expertise in using LLM for advanced predictive modelling and analysis. • Data Bricks: Proficiency with Databricks platform for big data processing and analytics. • Machine Learning: Strong background in developing and deploying machine learning algorithms and models. • Python: Excellent coding skills in Python, particularly for data science and machine learning applications. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to cutting-edge projects in artificial intelligence and data science. If you are ready to take on this challenging role, we would love to hear from you. Please click here 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 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

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 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.

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. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. 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. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. 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. Responsibilities: Build, test and deploy machine learning models which will improve and/or automate decision making. You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making. Work proactively with technical and non-technical teams to deliver insights to support the wider business. Implement comprehensive model monitoring. Develop model training and evaluation pipelines to accelerate model development / deployment adhering to software development best practices (CI/CD & MLOps) Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling. Requirements You have at least 3-4 years of experience as a professional Data Scientist Python, which makes up the majority of our Data Science stack. Proven experience in data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning large language models is a bonus. Prior experience utilising LLMs on mobile applications is a bonus. Experience with open-source large language models (e.g Llama). 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 - 30 mins with one of the team Stage 2 - Take-home challenge Stage 3 - 60 mins technical interview with two team members Stage 4 - 45 min final with two executives 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.

Job Title: Mass Properties Engineer Location: Barrow-in-Furness, Brough, Weymouth, Bristol, Portsmouth, Frimley, Manchester - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Competitive What you'll be doing: Collate mass property data for equipment and systems to deliver weight and centroid control on multi billion pound submarine programmes Support the Mass Properties Lead to aggregate weight and centroid reports and present the status to the Chief Naval Architect Collaborate with system design engineers to accurate estimate mass, centroid and design maturity of multiple mechanical and electronic systems Maintain a comprehensive database of parts mass properties Provide input to and lead weight saving strategies and maintain the list of weight risk and opportunities for each discipline area Interrogate CAD models to determine estimates for mass properties with associated uncertainties Utilise statistical analysis to provide a whole boat picture of weight risk and opportunity to senior leaders, stakeholders and our customers Your skills and experiences: Essential Qualified in STEM subject or extensive experience Ability to work independently and as part of a team IT literate in Microsoft packages, experienced knowledge in Excel Ability to understand and interpret engineering data Desirable Experience working with large, Electrical or Mechanical systems Data analysis experience including interpretation, visualisation, manipulation and presentation Experience of using CAD packages and programmes CEng/IEng status or a clear pathway to achieving professional recognition Benefits: You'll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You'll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts - you may also be eligible for an annual incentive. The Weight Engineering team: The Weight Engineering Team are a multi-disciplinary Team of Engineers and Data Scientists who estimate, collate and present mass properties data for a number of multi billion pound submarine programmes. The Weight Engineering team are a specialist team who play a critical role in the whole boat design and assuring whole boat safety. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also 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. Closing Date: 25th April 2025 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-KW1 #LI-Hybrid #LI-Onsite

Lead ML Engineer London - Hybrid (1 day per week in office) £80,000 - £100,000 DOE + Bonus (up to 15%) + Excellent Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join a fast paced and forward-thinking business always looking to innovate and lead from the front in the technology world. The company are a leading organisation in the energy sector, dedicated to delivering innovative solutions and improving operational efficiency. As part of their Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with data scientists to build data pipelines. You'll mentor junior team members, work with IT teams to advance projects, and improve deployment processes. Additionally, you'll design and maintain cloud infrastructure, ensure high-quality code, and participate in code reviews. The ideal candidate will have proven experience in a similar role in some combination of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high proficiency in SQL. An incredible opportunity for a confident and commercial ML Engineer to lead from the front working with cutting edge technology and driving company growth. The Role: • Lead machine learning projects from concept to production. • Develop platform tools and collaborate with data scientists to build data pipelines. • Mentor junior team members and support their technical growth. • Work closely with IT teams to advance project goals and improve deployment processes. • Design and maintain cloud infrastructure to support machine learning initiatives. The Person: • Proficiency in Python, including libraries such as Pandas and scikit • learn, and strong SQL skills. • Deep understanding of software engineering best practices • Experience with tools like Azure, Azure ML, GitHub Actions, Terraform, Packer, Airflow, Docker, and Kubernetes • Expertise in Linux/Windows VM administration. Reference Number: BBBH248582 To apply for this role or to be considered for further roles, please click \"Apply Now\" or contact Ryan McIntyre at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates

Job Title: Principal Naval Architect (Weights) Location: Barrow-In-Furness, Brough, Filton, Frimley, Manchester, Portsmouth, Weymouth We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Competitive What you'll be doing: Lead the collation strategy for mass properties data to deliver weight and centroid control on multi billion pound submarine programmes Responsible for aggregating weight and centroid reports, presenting the status to Chief Naval Architect and generating mitigation plans Define and manage the mass budgets for submarine programmes and its breakdown to system level Support submarine sea trials Create and maintain a comprehensive database of parts mass properties Promote a culture of weight control and work with system engineering to integrate weight as a fundamental design constraint Conduct Research and Development activities, promoting BAE Systems interests at UK and International Conferences Perform conceptual parametric estimations for mass distributions and moments of inertia whilst driving the development of methods and tools for mass properties estimation Provide Subject Matter Expert (SME) reviews of weight control methodologies for non-submarine programmes within the BAE Systems group Your skills and experiences: Essential Degree qualified in an Engineering or Mathematics subject or equivalent experience Ability to work independently and provide technical leadership as part of the team Experience of weight management Desirable Chartered Engineer or ability to achieve Chartered status within a 12-month time frame Experience of weight control on large programmes Experience working with large, complex Electrical or Mechanical systems Experience using VBA or Python to automate data manipulation tasks Experience of using CAD packages and programmes Benefits: You'll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You'll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts - you may also be eligible for an annual incentive. The Weight Engineering team: The Weight Engineering Team are a multi-disciplinary Team of Engineers and Data Scientists who estimate, collate and present mass properties data for a number of multi billion pound submarine programmes. The Weight Engineering team are a specialist team who play a critical role in the whole boat design and assuring whole boat safety. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also 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. Closing Date: 25th April 2025 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-KW1 #LI-Hybrid