51 to 59 of 59 Data Science Jobs in Slough

design of intelligent, AI-powered workflows that blend human decision-making with machine support. You’ll work on real features that ship to customers, collaborating closely with engineering and data science to make AI usable, useful, and trusted. What you'll do: Design intuitive interactions with LLM-based features (inputs, feedback, explainability). Own design across the lifecycle More ❯

solutions that support business growth. This role is ideal for someone who thrives at the intersection of strategy, systems thinking, and technical execution. Youll work closely with technology teams, data scientists, and business stakeholders to identify capability gaps, design solutions, and ensure our tech stack evolves to meet future demands. Key Responsibilities: Capability Strategy & Development Assess current capabilities and … technology goals. Translate complex business requirements into scalable technology solutions. Evaluate and integrate emerging technologies (e.g., AI/ML, cloud-native platforms, APIs). Cross-Functional Collaboration Partner with data and technical teams to ensure alignment on solution design and delivery. Communicate complex technical concepts to non-technical stakeholders. Act as a bridge between technical and non-technical stakeholders … end-to-end delivery, including planning, execution, and post-implementation review. Monitor solution performance and continuously optimize scalability, security, and efficiency. Qualifications: Bachelors or Masters degree in business, Computer Science, Engineering, Information Systems, or related field. 5+ years of experience in design, business analysis, or capability development. solution architecture, systems integration, or program management in a tech environment. Experience More ❯

Senior Data Scientist Up to £80,000 + 15% bonus Hybrid – 3 days per week in office (London) We’ve partnered with an innovative Data Start-up who are looking to hire a passionate Senior Data Scientist. This consultancy provides innovative SAAS and AI solutions to their household name clients and is an excellent opportunity to work … Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or relevant field Interview Process: SQL and Python Test Technical interview (1 hour) In person Team Fit (2 hours More ❯

domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based … practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options More ❯

they prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics More ❯

in equities strategies. Leveraging proprietary cutting-edge technology and rigorous scientific research, the company excels in trading, technology, and operations, and is now looking to expand their discretionary organisation. Data is not a support function here but drives the firm’s approach, with data scientists having direct and tangible communication with PMs and traders. With a true emphasis … on global collaboration, their investment, technology, and operations teams are aligned functionally around the world. Your Role: Develop insights and generate ideas for the equity fundamental research team using data-driven approaches. Collaborate across the firm to exchange results, feedback, and custom tools effectively. Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through … data analysis, building screening tools, and assessing new and existing datasets for relevance and quality. Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models. Assess the value and relevance of new datasets for specific sectors or stocks. Execute data-driven studies to validate or refute hypotheses More ❯

AI models and algorithms for business challenges. Analyse large datasets and extract actionable insights to support AI model training. Evaluate and optimise AI models for best performance. Collaborate with data scientists, software engineers, and stakeholders to integrate AI solutions. Ensure ethical AI development and compliance with regulations. Mandatory Skills Experience designing and coding AI models and algorithms. Strong data … and optimise AI models. Excellent collaboration and communication skills. Knowledge of AI ethics and compliance. Desirable Skills Familiarity with AI technologies and trends in the construction industry. Experience preparing data for AI model training. Ability to document and validate AI models and systems. Awareness of emerging AI best practices. Experience integrating AI solutions into existing systems. Equal Opportunities Wipro More ❯

healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high-performing team … of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex product challenges, working More ❯

full-time role. Applications without a cover letter will not be considered. Company Headquartered in London, with offices in NYC and Shanghai, Neudata is the only objective and neutral data scouting service dedicated to finding alpha-generating data for investment managers. Neudata has grown to be the number one provider of data scouting services to investors globally … verticals. Neudata's Software as a Service (SaaS) catalogue of alternative and market dataset reports provides tools for users to easily search, source, compare and manage the best global data providers. This catalogue is updated using real-time insights from our team of expert research analysts based in London, New York and Shanghai. We are expanding our market data … PowerPoint, and Excel. The attitude of a team player who has an adaptable approach to work. The candidate is not required to have any advanced knowledge or experience in data science. Rather, we are looking to add someone to our team who has good common sense, energy, and a real desire to learn and make a difference among a More ❯