Average Data Scientist salary in Isleworth

What you’ll do:Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.Integrate model-driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data.Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring.Design, architect, and operate low-latency, highly reliable cloud-based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production-scale performance.What you'll bringProven extensive lead-level engineering experience delivering sports insights or sports data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery.Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights.Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi-modal sports data (e.g., numerical, spatial, video, or metadata).Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving.End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure-as-code practices.Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day to day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary.Experience designing scalable, low-latency architectures, including real-time or near-real-time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases.Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders.

Hiring: Lead Data Scientist (Contract) – Osterley, UK Are you passionate about transforming sports data into intelligent, real-time insights? We’re looking for a Lead Data Scientist to drive cutting-edge AI innovation in one of the most exciting domains—live sports analytics. Location: Osterley, UK Type: Contract Experience: Lead / Senior Level What You’ll DoLead end-to-end development of AI solutions leveraging Computer Vision, Machine Learning, Generative AI, and advanced data science.Build systems that automatically generate sports metadata and detect key moments in live matches and streams.Design models that deliver player performance insights, contextual statistics, and injury risk predictions—all grounded in ethical and responsible AI.Power personalisation engines with model-driven insights tailored to fans’ favourite teams, players, and match context.Own A/B testing, experimentation frameworks, metrics, and dashboards to drive data-backed decisions.Establish and scale MLOps practices including CI/CD, model monitoring, drift detection, and automated retraining.Architect and deploy low-latency, cloud-based AI systems built for real-time sports environments at scale. What You BringProven experience leading sports data-driven ML systems, with strong ownership of technical direction and delivery.Deep expertise in sports datasets (event data, tracking data, or similar high-volume streams).Strong command of multi-modal data (numerical, spatial, video, metadata) and Generative AI techniques.Advanced Python skills with hands-on experience in PyTorch, TensorFlow, or similar frameworks.Solid experience in end-to-end MLOps, including production deployment and lifecycle management.Demonstrated leadership—mentoring teams and thriving in fast-paced, evolving environments.Experience designing scalable, real-time or near real-time systems for live data processing.Excellent communication skills—able to translate complex AI strategies into business impact. Why Join?Work at the forefront of AI + Sports innovationBuild solutions used in live, high-impact environmentsCollaborate with cross-functional teams and senior stakeholdersShape the future of fan engagement and sports intelligence Ready to make an impact in the world of sports and AI? Apply now or reach out to learn more!

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 for lower-level positions and fully trained Data Experts:Junior Data Analyst - £30,000Data Analyst - £50,000Business Analysts - £60,000Data Scientist - £65,000Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science.Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector.Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks.Step 1 - Data Administration TrainingData is extracted using various method which are normally IT driven.We provide you with access to the following courses to ensure you are employable as a data analyst.Microsoft excel - to expert level.Learn SQL - the programming language used for extracting data from more complex databases.Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam.Step 2 - CompTIA Data+ QualificationThe first step is completing the CompTIA Data+ Qualification accredited by CompTIA.This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam.The course is online and comes complete with exam simulators and revision tools.You will have access to a tutor and a 1-hour online revision workshop prior to your exam.This qualification sets you on course to becoming a data analyst.Step 3 - Business Analysis FoundationBusiness Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.Study time is around 15 hours, and qualification is achieved by online exam.Step 4 - Recruitment SupportNow you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.Step 5 - CompTIA Data X QualificationOnce you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.Our money back guaranteeIf after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.Check out our testimonials.What Now?To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.