25 of 25 Remote Data Science Jobs in Slough

Job Title: Data Engineering Manager Job Type: Full Time, Permanent Location: London, Hybrid Role Purpose At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven. The data engineering manager … DEM ) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a wide range … of data integrations. Main Responsibilities: Leadership & Strategy Work with the Director of Data Engineering and IT Leadership to enhance the company's data maturity. Maintain strong business alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Team More ❯

work hard, build great things, and do it with an eccentric sense of humour” mentality. We are looking for a developer to spearhead WebGL development within the frontend. Effective data science remains crucial, yet elusive, for most companies. We will fundamentally overturn how data science is done. Data scientists need to be enabled with theory … slate given how radically AI is going to change things, but taking advantage of the latest and greatest ideas. Our marketing is driven by a pipeline of high quality data science YouTube videos and accompanying short-form content. We are looking to use video to make data science topics accessible and enjoyable as well as answer … We will be leaning heavily on WebGL for scientific visualisations and a wide range of other diagrams. Main responsibilities include: Front end feature development for our product. Working with data scientists to help define and implement or optimise front-end features used in individual data science projects. These features will mostly start with a narrow scope linked More ❯

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £35,000 – £40,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. … to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing … and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating More ❯

Data Scientist (Sports Analytics | Football Focus) We’re excited to be partnering with a new client – a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive … smarter, evidence-based decisions for clubs, organisations, and partners. With a clear focus on football, you’ll be delivering innovative data science solutions that support performance analysis, recruitment, and strategic planning. The team combines technical excellence with a genuine passion for the game, ensuring insights are both rigorous and impactful. If you’re someone who loves football and … wants to push the boundaries of how data can shape the sport’s future, this is the role for you. Key Responsibilities Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics. Build models and frameworks to profile teams and players – identifying styles of play, strengths, and weaknesses. Develop new More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area … match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match … outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data More ❯

retain the best talent to strengthen our reputation as both a design practice and an employer of choice. We are seeking a motivated Junior BI Analyst to join our data analytics team. This role is perfect for an entry-level professional looking to build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will … support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures Monitor data pipelines and ensure timely data updates … Business Intelligence & Reporting Develop and maintain standard business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and More ❯

looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London . You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to … one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP … computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? 📈 Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. ⚙ Real-World Impact – Work on projects where More ❯

For you, this means working on challenging projects that demand innovation, collaboration, and thought leadership . Role – We are looking for a talented Analytics Engineer to join our growing data and analytics team. You will play a pivotal role in shaping the organisation’s data-driven strategy, working across data engineering, analytics, and business domains to design … scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge between engineering teams … and business stakeholders , translating requirements into data solutions. Design, build, and maintain data pipelines and transformations that turn raw data into structured, analysis-ready datasets. Develop and optimise data models (including Data Vault and dimensional modelling) to support large-scale analytics. Implement and enforce data quality, governance, and validation frameworks . Write complex SQL More ❯

Quant Data Engineer - London OR Dublin - leading trading firm - exceptional comp & bens Our world-renowned client is looking to hire a Quant Data Engineer into a varied role at the intersection of technology, data science, and quantitative research. Responsibilities As part of the Quant Engineering and Data team, you’ll sit closely with Researchers, Developers … and Traders and collaborate on a range of technology projects including: Research enablement work related to trading activities, using a range of data science, analysis, and engineering skills. Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration. Partnering with researchers in the research … your technical expertise to drive results. What you'll bring 2+ years professional experience in Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree in a STEM subject at a reputable academic institution. A desire to work More ❯

Job Title Senior Data Scientist - CRM Location London – hybrid working (2/3 days in City offices) Salary To c£75,000 negotiable DoE Job Reference J13015 POSITION OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer … insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/… and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Junior Data Scientist – Sport & Data Analytics 📍 London (Hybrid) Are you passionate about sport, data, and innovation ? This is an exciting opportunity to join a global sports organisation that’s using analytics to shape performance, marketing, and commercial strategy across international events. You’ll work closely with senior stakeholders to turn data into insight - building dashboards, validating … key datasets, and supporting decision-making across finance, marketing, and operations. We’re looking for someone who: ⚙️ Has 1-4 years’ experience in data science or analytics 🐍 Is confident using Python and SQL 📊 Can visualise data in Power BI or Tableau 💡 Communicates complex insights clearly to non-technical teams 🔥 Brings curiosity, creativity, and a genuine passion for … tech organisations ✨ Perks: Private healthcare, 25 days’ holiday + Christmas break, flexible hours, and complimentary access to global sporting events This is a great fit for an early-career data scientist or analyst who wants to see their work have visible impact in the world of sport . How to Apply: Please apply with your most up-to-date More ❯

DATA SCIENTIST/SENIOR ANALYST UP TO £80,000 HYBRID – 3X A WEEK IN LONDON ABOUT THE BUSINESS This is for a fast-growing company in the greentech sector, providing electric vehicle charging solutions that support the UK’s transition to sustainable transport. With a strong footprint across London and an exciting new contract expanding into other areas of … by private equity, they combine the agility of a scale-up with the stability and resources to grow nationwide. THE TEAM You’ll be joining a small but growing Data team, reporting directly to the Head of Data. The foundations for data infrastructure have been carefully built over the past year, and now the focus is on turning … data into actionable insight. This is a collaborative environment where data is central to decision-making — the executive team are highly engaged and see analytics as critical to the company’s success. You’ll have the opportunity to take ownership of impactful projects and help shape the future of EV charging strategy across the UK. THE ROLE This More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of … quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain … automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For 2+ More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

in the cloud, prevent advanced threats from spreading across their network, gain visibility and control over applications, and enable a secure hybrid workforce. Deep understanding of cybersecurity fundamentals, including data security, network security, and cloud security Demonstrated ability to lead complex sales engagements Extensive experience cloud platforms such as AWS, Azure, or GCP Excellent interpersonal, communication, and presentation skills … with the ability to influence senior stakeholders Self-starter who thrives in a fast-paced, collaborative environment with minimal direction Bachelor’s degree in business, computer science, engineering, or a related field; advanced degrees a plus Experience selling to CISOs, CIOs, and data science/security teams Experience working in a high-growth or scale-up environment More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to 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 ❯

across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security 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 ❯

The Details Contract: Permanent Remuneration: £28,000 Location: London, remote working available Culture: Friendly, positive, fun and vibrant The Opportunity An excellent position for a Data Scientist or Data Analyst, who is motivated by variety and opportunity. This is a successful and entrepreneurial business, focused on helping their clients to understand and serve their customers more effectively. The … founder is passionate, innovative and an excellent salesperson, which means new clients are being won. The company needs you to bring a proactive approach to their data, to deliver value to their clients. There is excellent potential for growth at the company. The Role As the business grows, we are looking for a Data analyst to work alongside … the account team. This role would suit a graduate or a data analyst with experience in a similar role. Lead on the production of campaign reports and work alongside the data scientist to support the development of predictive models, that identify opportunities to activate client growth. Produce campaign reports and analyses across the agency client base, working closely 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 ❯