1 to 25 of 37 Permanent Data Science Jobs in Surrey

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

network with other early careers from across bp. Role and responsibilities During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data scientists, data engineers, software engineers, data managers and business partners. You will be part of a team whos responsibilities include: Building scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocate for data science and best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). The … data science and machine learning apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such as: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1 For which the provider is likely to be Corndel, however, may be subject to change. Level 4 Data Analyst Apprenticeship - Corndel Requirements More ❯

network with other early careers from across bp. Role and responsibilities During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data scientists, data engineers, software engineers, data managers and business partners. You will be part of a team whos responsibilities include: Building scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocate for data science and best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). The … data science and machine learning apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such as: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1 For which the provider is likely to be Corndel, however, may be subject to change. Level 4 Data Analyst Apprenticeship - Corndel Requirements More ❯

network with other early careers from across bp. Role and responsibilities During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data scientists, data engineers, software engineers, data managers and business partners. You will be part of a team whos responsibilities include: Building scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocate for data science and best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). The … data science and machine learning apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such as: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1 For which the provider is likely to be Corndel, however, may be subject to change. Level 4 Data Analyst Apprenticeship - Corndel Requirements 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 … Lead Data Engineer 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: Lead on data engineering projects, managing a sub- team within engineering, building out our data warehouse & pipelines Collaborate effectively across data science, analytics, product, engineering and commercial business teams Build and support esure’s data products within our industry leading platform Work with product managers, data & AI engineers to deliver technical 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 … Lead Data Engineer 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: Lead on data engineering projects, managing a sub- team within engineering, building out our data warehouse & pipelines Collaborate effectively across data science, analytics, product, engineering and commercial business teams Build and support esure’s data products within our industry leading platform Work with product managers, data & AI engineers to deliver technical More ❯

services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiativesembedded projects with business stakeholdersto rapidly build and deploy AI solutions that solve high … priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflowsfrom data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of … AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools More ❯

services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiativesembedded projects with business stakeholdersto rapidly build and deploy AI solutions that solve high … priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflowsfrom data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of … AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools More ❯

services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiativesembedded projects with business stakeholdersto rapidly build and deploy AI solutions that solve high … priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflowsfrom data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of … AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools More ❯

network with other early careers from across bp. Role and responsibilities During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners. You will be part of a team whos responsibilities include: Bridging between … business and digital organizations Providing actionable, data-driven business and product insights by combining deep statistical skills, data manipulation capabilities and business acumen Maintaining, defining metrics and building dashboards Autonomously executing data analysis, applying existing data & analytics strategies relevant to immediate scope Partnering with data engineers to define and build simple data models, integrating … existing tools to automate data ingestion, data manipulation, quality control and data analysis Adhering to and advocating for data analytics best practices Presenting results to peers, stakeholders, and team members Collaborating with stakeholders The data analytics apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such More ❯

network with other early careers from across bp. Role and responsibilities During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners. You will be part of a team whos responsibilities include: Bridging between … business and digital organizations Providing actionable, data-driven business and product insights by combining deep statistical skills, data manipulation capabilities and business acumen Maintaining, defining metrics and building dashboards Autonomously executing data analysis, applying existing data & analytics strategies relevant to immediate scope Partnering with data engineers to define and build simple data models, integrating … existing tools to automate data ingestion, data manipulation, quality control and data analysis Adhering to and advocating for data analytics best practices Presenting results to peers, stakeholders, and team members Collaborating with stakeholders The data analytics apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such More ❯

network with other early careers from across bp. Role and responsibilities During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners. You will be part of a team whos responsibilities include: Bridging between … business and digital organizations Providing actionable, data-driven business and product insights by combining deep statistical skills, data manipulation capabilities and business acumen Maintaining, defining metrics and building dashboards Autonomously executing data analysis, applying existing data & analytics strategies relevant to immediate scope Partnering with data engineers to define and build simple data models, integrating … existing tools to automate data ingestion, data manipulation, quality control and data analysis Adhering to and advocating for data analytics best practices Presenting results to peers, stakeholders, and team members Collaborating with stakeholders The data analytics apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such 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 recruiting for a … Data Analyst to join our Data team. We’re on the lookout for someone who can bring strong analytical and design skills to our projects. In this role, you’ll be responsible for shaping solutions from the ground up – analysing requirements, designing effective approaches, and making sure that every outcome is clear and measurable. This position offers excellent … support for those who are looking to progress into the world of Data Science or Analytical Engineering. What you’ll do: Conduct deep-dive analysis to generate insights that drive business decisions and performance. Work closely with collaborators from different departments in cross-functional agile teams. Extract, analyse and present data to both technical and non-technical More ❯

detail and good team-work skills. Graduate Software Engineers will have some of the following qualifications experience; M.Phil, MSc, MPhys, MRes, MA, BA, BSc in Software Engineering or Computer Science, or Electronic Engineering or physical sciences Knowledge of C, C++, Python, C#, Java, SQL- Full stack development Programming on Cross Platforms- Windows-Linux Embedded software/Firmware experience DSP … following skills and experiences are advantageous, but not essential: Experience in Linux, python and C++ Knowledge of electronics and physical interactions with software FPGA/VHDL-Verilog Signal processing, data science or AI knowledge Experience working alongside hardware engineers Data Science/Data Processing Computer Vision/AI Quantum Computing As part of the Software More ❯

detail and good team-work skills. Graduate Software Engineers will have some of the following qualifications experience; M.Phil, MSc, MPhys, MRes, MA, BA, BSc in Software Engineering or Computer Science, or Electronic Engineering or physical sciences Knowledge of C, C++, Python, C#, Java, SQL- Full stack development Programming on Cross Platforms- Windows-Linux Embedded software/Firmware experience DSP … following skills and experiences are advantageous, but not essential: Experience in Linux, python and C++ Knowledge of electronics and physical interactions with software FPGA/VHDL-Verilog Signal processing, data science or AI knowledge Experience working alongside hardware engineers Data Science/Data Processing Computer Vision/AI Quantum Computing As part of the Software More ❯

development. Job Description We have an excellent opportunity for a motivated and ambitious individual to join our join and work to improve the profitability of the company through new data sources and advanced modelling techniques. This role is an end-to-end data science role spanning the entire AI lifecycle from ideation through to production deployment of … models as well as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps and Data Engineers to deploy … improved customer experiences. You thrive in working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to More ❯

development. Job Description We have an excellent opportunity for a motivated and ambitious individual to join our join and work to improve the profitability of the company through new data sources and advanced modelling techniques. This role is an end-to-end data science role spanning the entire AI lifecycle from ideation through to production deployment of … models as well as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps and Data Engineers to deploy … improved customer experiences. You thrive in working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to More ❯

track and manage issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and … delivery of software tools and methodologies which improve the team and car’s performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API’s, and … include limited on-call to resolve mission critical issues. Support the prioritisation and resource requirements of projects across Engineering. Job requirements Knowledge, Skills and Experience: Essential Bsc in Computer Science or equivalent discipline (2:1 or above) or equivalent industry experience. Extensive commercial experience delivering projects using agile/lean methodologies. A strong full stack software development background with More ❯

track and manage issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and … delivery of software tools and methodologies which improve the team and car’s performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API’s, and … include limited on-call to resolve mission critical issues. Support the prioritisation and resource requirements of projects across Engineering. Job requirements Knowledge, Skills and Experience: Essential Bsc in Computer Science or equivalent discipline (2:1 or above) or equivalent industry experience. Extensive commercial experience delivering projects using agile/lean methodologies. A strong full stack software development background with More ❯

open-source AI/ML tools to enhance business solutions continuously. Develop, deploy, and manage machine learning models aimed at solving complex real-world business problems. Utilize backend and data processing skills to manage both structured and unstructured datasets effectively. Prioritize AI implementation based on comprehensive business requirements and user feedback, ensuring alignment with strategic goals. Communicate complex technical … ensuring clarity and actionable insights. Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge in SQL/NoSQL databases and API development/integration. Proven ability to analyze model performance and … optimize for accuracy, efficiency, and scalability. Exposure to prominent AI frameworks like Hugging Face, LangChain. Preferred/Advantage - Understanding of data structures, algorithms, and solution architecture. Familiarity with major cloud AI platforms (AWS, Azure, GCP). Broad knowledge of various ML algorithms including supervised, unsupervised, and deep learning. Strong problem-solving and effective communication skills. Qualifications: Bachelors or Masters More ❯

lifecycle of large language models and statistical language models including training and fine-tuning. Strong proficiency in Python, Java, and SQL/NoSQL databases, along with API development and data integration techniques. Practical experience with deploying AI models on-premise and utilizing open-source frameworks such as Hugging Face and LangChain. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Benefits: 25 days annual leave plus a flexible benefits allowance of £660 per annum. Discretionary performance-based bonus and a comprehensive pension scheme (up to 4% employee, up to 8.5% employer). Access to corporate healthcare options including Private Medical Insurance, Permanent Health Insurance, and Group Life Assurance. More ❯

the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Work on leading edge technology solutions in the following disciplines: AI & Data Science, Cyber, Cloud, Big Data, Software Development, DevOps, SRE, Platform Engineering. Role As a Full Stack Software Engineer , you'll enjoy delivering mission critical solutions to National … using required standards, methods and tools, including prototyping tools where appropriate Work with well understood and emerging technologies and identify appropriate patterns Integrating API/UI components with existing data stores and APIs Maintain and develop existing architectural components including Data Ingest, Data Stores and REST APIs Participate in sprint ceremonies with the agile team, attending daily 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 ❯

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 ❯

can provide and receive constructive criticism, Sharp analytical and problem solving skills, Creative thinker with a vision. Other Highly Desirable, But Not Essential Skills Are Background in Software development, data science, or data engineering. Exposure to cloud platforms (e.g., AWS, Azure, GCP). Understanding of API design, microservices architecture, or event-driven systems. Experience in B2B enterprise … software environments with complex stakeholder landscapes. Product management certification (e.g., CSPO, Pragmatic Institute, AIPMM). Degree-educated with Computer Science, Engineering, Mathematics or relevant discipline At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome More ❯