76 to 100 of 116 Data Science Jobs in Berkshire

Senior Data Analyst - Green Tech/Energy Sector 📍 Central London (3 days per week onsite) | 💰 Up to £80,000 + Benefits | ⚡ Private Equity-Backed Scale-Up Are you passionate about using data to drive real-world impact in the green tech space? This is a fantastic opportunity to join a fast-growing, sustainability-focused business that's revolutionising … how we power electric vehicles across the UK. You'll work closely with the Head of Data to shape the company's analytical direction and deliver actionable insights that directly influence commercial, operational, and energy strategies. The Role As Data Scientist , you'll act as the analytical lead across the business - tackling forecasting, pricing, and data modelling … You'll help answer key strategic questions, such as: How should we price energy dynamically across the day? What patterns exist in customer charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that More ❯

About the Job Senior Frontend Engineer – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic dashboards for high … About the Role As a Senior Frontend Engineer , you’ll be at the heart of a high-performing engineering team, building intuitive, high-impact web applications that bring complex data to life. Working with cutting-edge technologies like React and TypeScript , you’ll collaborate closely with product, design, and data science teams to shape interfaces that define More ❯

mix modelling) to quantify how investments contribute to business KPIs. KPI Alignment & Performance Management: Collaborate with stakeholders to define success metrics and ensure business initiatives align with strategic goals. Data-Driven Decision Support: Provide leadership teams with actionable insights on investment performance, cost efficiency, and revenue contribution. Who we are The UK's fastest broadband network. The nation's … haves Proven experience in business analytics, marketing attribution, financial analysis, or performance management (preferably in telecommunications) Strong experience with business intelligence tools and financial modelling Proven track record of data-driven decision-making and influencing business strategy The other stuff we are looking for Bachelor's or Master's degree in Business, Data Science, Finance, Economics, Statistics More ❯

Platform & GenAI (relocation to dubai) Location: Dubai, United Arab Emirates As part of the Machine Learning Platform & Generative AI Applications team, this role sits at the intersection of engineering, data science, and product development. The team builds the foundational tools that power intelligent and engaging user experiences across multiple business verticals. This is an exciting opportunity for a … protocols. Mentor team members and contribute to a culture of engineering excellence through code reviews, workshops, and knowledge sharing. Collaborate with cross-functional teams including product managers, designers, and data scientists to translate high-level ideas into executable engineering tasks. Qualifications & Requirements 7+ years of professional experience in software engineering with strong design principles and system architecture knowledge. Proficiency More ❯

The company is a London-based leader in software and intellectual property, pioneering innovations in data and media compression using artificial intelligence and parallel computing techniques. The organization has built a significant portfolio (with over a thousand patents) and is actively engaged in advancing compression technologies across several industries. What You’ll Be Doing: Enhance, expand, and maintain sophisticated … cloud environments like AWS or distributed system infrastructure. General understanding of network protocols and architecture. Prior experience with media encoding/decoding and video quality assessment methodologies. Proficiency in data science or analytics. Familiarity with mobile automation frameworks on Android and iOS platforms. Hands-on experience with UI test automation using frameworks like Cypress and JavaScript/TypeScript. More ❯

team with a clear mandate: to automate business processes and workflows, integrate AI co-pilots, and transform how the bank operates day to day. You’ll work closely with Data Science teams, Business Analysts, and developers to deliver meaningful change at pace. This programme is a strategic priority, reshaping how data and technology empower relationship managers. From More ❯

Engineer Rate - £850 Hybrid working - London What you'll do Design and build AI prototypes using LLMs, agentic workflows, and vector-based knowledge retrieval Collaborate with investment teams and data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt … demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and … context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory environment Strong collaboration skills and ability to work with investment stakeholders The knowledge, experience and qualifications that will help Experience working with knowledge graphs or vector databases Experience working More ❯

and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI/ML-based More ❯

growing, purpose-driven consultancy that sits at the intersection of advanced analytics, software engineering, and AI. They're on a mission to deliver real-world impact, through high-value, data-driven platforms and tools, across financial services, government, retail, SaaS, and beyond. To support this mission, we’re looking for two exceptional Engineering Managers to lead their Software Engineering … and Analytics Engineering functions respectively. These roles offer the chance to architect scalable products, lead talented technical teams, and shape the future of data and digital platforms in both the public and private sectors. Key Responsibilities: Depending on your background (Software or Data/Analytics), your focus will include: Software Engineering Leaders: Lead the design and development of … cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data More ❯

bonus! In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. All positions at Safe Intelligence are … GitHub Actions. Nice-to-haves: Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations More ❯

Client Success Engineer: AI/Data Solutions (London/Peterborough/Doncaster Hybrid) Contract: Part-time to Full-time Transition Location: London and Peterborough, with ad-hoc travel to Doncaster Duration: Initial 2–3 months, with potential for extension or permanent conversion We are partnering with a leading AI and data consultancy to hire a Client Success Engineer … who will play a key role in bridging technical capability with client strategy. You will help clients adopt and optimise AI-driven tools and data platforms, ensuring successful outcomes and measurable value from digital transformation initiatives. The Role Work closely with clients to understand technical requirements, design AI solutions, and manage delivery Collaborate with technical and commercial teams to … year with potential for permanent transition Regular on-site work at client offices in London and Peterborough with occasional travel to Doncaster About You Strong technical background in software, data science, or machine learning Experience engaging directly with enterprise clients and stakeholders Skilled at problem-solving, rapid prototyping, and managing multiple priorities Confident communicator with a collaborative, delivery More ❯

. In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with … domain-driven architecture, and concurrency. Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

team. The ideal candidate will be responsible for developing and maintaining .NET applications while integrating AI and machine learning capabilities to enhance business solutions. You will collaborate closely with data scientists, software engineers, and business stakeholders to deliver intelligent and scalable applications. Key Responsibilities: Design, develop, and maintain .NET applications (C#, ASP.NET Core, .NET 6/7) Integrate AI …/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date with emerging technologies … .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in More ❯

models to understand their requirements and guiding them through what is and is not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps More ❯

clients. What are they looking for? Proven experience as a Product Manager/Senior Product Manager with a recent focus on ML or GenAI products Previous experience as a Data Scientist or ML Engineer Fintech/B2B/SaaS experience would be highly desirable Strong understanding of AI/ML concepts, workflows, and responsible AI practices Comfortable leading teams More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

ML workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong More ❯

as the bridge between clients and technical teams Capture requirements, map processes, and design AI-first solutions Manage end-to-end project delivery in agile environments Collaborate with developers, data scientists, and consultants You’ll bring: Experience as a Delivery Consultant, Business Analyst, Product Manager, or Project Manager Consulting background (boutique or large) Hands-on AI/automation experience More ❯

NLP/GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London - do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our … global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not … Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and propose More ❯