10 of 10 Remote Data Science Jobs in Surrey

thrive. Join bp and become part of the team building our future! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML … systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D … such as classification, regression, recommendation, and natural language processing. Optimise model performance and ensure scalability and reliability in production environments. Contribute to the design of ML system architecture and data infrastructure. Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation. Mentor junior engineers and data More ❯

thrive. Join bp and become part of the team building our future! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML … systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D … such as classification, regression, recommendation, and natural language processing. Optimise model performance and ensure scalability and reliability in production environments. Contribute to the design of ML system architecture and data infrastructure. Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation. Mentor junior engineers and data More ❯

Cambridge, Gatwick, Milton Keynes, Reading Business Line Enabling Functions Job Type Permanent/FTC Date published 07-Aug-2025 20282 Connect to your Industry Are you passionate about data science and AI? Do you want to apply your skills and knowledge to help shape the future of Deloitte? If so, we have an exciting opportunity for you to … join our Enabling Functions team as an AI Engineer & Data Scientist. You be part of an exciting innovative team that delivers cutting edge GenAI solutions. As an AI Engineer & Data Scientist, you will work on innovative projects that leverage data and AI to enhance our internal capabilities and deliver value to our employees. You will collaborate with … values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most. Connect to your opportunity As an AI Engineer & Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine More ❯

agility, innovation, and rapid iteration, this tech-driven organisation thrives on moving fast, learning quickly, and pivoting when needed. As they continue to scale, they're investing heavily in data and AI to drive smarter decision-making and product innovation. Your new role As Lead Data Scientist, you'll take ownership of a small but growing data team, currently consisting of two Analysts and one Data Scientist. Reporting directly to the CTO, you'll be responsible for shaping the data science strategy, implementing scalable processes, and delivering impactful insights across the business. You'll work hands-on with machine learning, AI, and LLMs to solve complex problems, while also mentoring your team and … engaging with senior stakeholders to align data initiatives with business goals. What you'll need to succeed Proven experience in a senior or lead data science role Strong hands-on skills in Python and SQL Solid experience with Machine Learning, AI, and Large Language Models (LLMs) Previous people management experience (ideally managing Analysts/Data Scientists More ❯

Data Scientist - Bayesian, Python, Pymc Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team to build base … Regression based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. Rate: £688 per day Inside IR35 Duration: 6 months Location: Hybrid 1 day per week in office near London More ❯

way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity … who shares our vision to fix insurance for good. What you’ll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI … benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test More ❯

way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We are looking for a Data Scientist to join our forward-thinking Data team. In this position, your responsibility will be to contribute to the company's expansion by incorporating innovative data resources and sophisticated modeling techniques to elevate profitability. You will work across the full data science lifecycle – from generating ideas, through building and deploying models, to measuring impact using … of machine learning and generative AI in production. What you’ll do: Work closely with stakeholders across the business to understand and propose improvements to existing process using new data sources and advanced machine learning techniques. Deliver projects end-to-end from scoping/R&D through to production deployment and benefit measurement. Following and contributing to our standards More ❯

way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We are currently looking for a … Data Architect to join our forward thinking Data department. You’ll work in a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business. What you … ll do: Design and manage scalable cloud data platforms (Databricks on AWS) across development, staging, and production environments, ensuring reliable performance and cost efficiency. Integrate and model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use More ❯

Duration : 6 months (Mid-December start - End of June) Security Clearance : SC Clearance required Overview We're looking for a talented Front-End Developer to join a newly formed Data Team within a public sector organisation. This role is central to building a unified, user-friendly interface - a "single pane of glass" - that consolidates dashboards, reports, and outputs from … various data roles into one cohesive experience. The interface will serve as the primary access point for stakeholders to explore data, monitor performance, and make informed decisions. Key Responsibilities Interface Development :Design and build a centralised front-end application that integrates outputs from dashboards, reports, models, and data pipelines into a single, intuitive view. Accessibility Compliance :Ensure … WCAG 2.2 standards, promoting inclusive access for all users. Performance Optimisation :Deliver fast load times, responsive design, and smooth user interactions across devices. Cross-Functional Collaboration :Work closely with Data Analysts, Data Scientists, Engineers, Business Analysts, and User Researchers to understand data outputs and user needs. Data Visualisation :Implement dynamic visual components such as charts, filters More ❯

ensure smooth functionality of solutions daily Comfortable with and able to work with stakeholders outside of SHE and external expertise to deliver per plan Qualifications: Bachelor's degree in data science, finance, engineering or a related field. (preferred) Experience in SHE, engineering, IT Strong communication, and problem-solving skills. Proven ability to deliver on time in full Experience More ❯