Junior data scientist jobs in United Kingdom

Senior Data Scientist – £75–80k + Benefits. Lead and mentor a small team of junior Data Scientists & Analysts. Data Science, ideally with consulting exposure.

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities • Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets., • Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles., • Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team., • Perform data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support continuous model improvement., • Write clean, efficient, well-documented code aligned with team standards for structure, reproducibility, and version control., • Work collaboratively with other Data Scientists to propose ideas, troubleshoot modelling challenges, and refine methodologies., • Contribute to the delivery of accurate, reliable forecasts with low latency under evolving client or market demands., • Participate in code reviews and collaborative design sessions to uphold technical quality across the team., • Provide mentorship and support to Junior Data Scientists working on the same or related projects. Experience and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: • Experience working with Python or R in a production or research setting., • Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr)., • Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow., • Experience working with SQL and relational databases., • Ability to explain model behaviour through visualisations and reports., • Familiarity with Git and collaborative development workflows., • Good written and verbal communication; able to contribute to cross-functional discussions., • Proven problem-solving and time management skills. Desirable: • Familiarity with cloud services (e.g. AWS S3, Athena, Lambda)., • Basic understanding of data engineering or ML pipelines., • Knowledge of distributed systems (e.g. Kafka)., • Interest in American sports or the betting industry., • Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment Limited, on LinkedIn to stay updated on current and upcoming job vacancies

Lead Data Scientist £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Data Scientist to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Are you looking to kick-start a new career as a Data Scientist?We are recruiting for

Senior Data Scientist (Optimisation) Hybrid (Av. 2 days office pw) | London 📍 £80k–£90k + Share options + Additional benefits The business This is a fast-growing AI technology company of around 15 people, building cutting-edge predictive and optimisation solutions for real-world operational challenges. The data team you'll be joining is at the centre of their platform which powers smarter workforce planning, scheduling and supply chain decisions for the clients they support. The role They're looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities • Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning ( Metaheuristics / Heuristics)., • Develop mathematical models and optimisers (beyond standard ML approaches), • Evolve the existing optimiser into a scalable, production-ready system, • Write production-quality Python code and collaborate closely with engineers and other data scientists, • Mentor and coach junior data scientists whilst maintaining best practice. What they're looking for • Strong Python skills (critical), • Hands-on experience with optimisation/operations research / mathematical modelling, • Background in supply chain or workforce planning (desirable), • Ability to build and ship production-level components, not just analytical prototypes, • Master's or PhD in Data Science or similar (desirable) If this sounds like you and you would like to know more details, please apply now.

Collaborate with senior data scientists and consultants to identify client needs and develop data-driven solutions. Continuously learn and stay up-to-date with industry advancements in data science and related technologies. Bachelor's or Master's degree in a related field such as computer science, m

Collaborate with senior data scientists and consultants to identify client needs and develop data-driven solutions. Collect, clean, and analyze large and complex datasets using statistical methods and machine learning techniques. Communicate findings and recommendations to clients through data visua

Data Scientist – Data Science Analytics and Enablement (DSAE). Data Scientist – Experimentation & Measurement. Mentor junior data scientists, promoting technical excellence and agile collaboration.

We are the industry experts delivering actionable maritime insight, data, technology, and analytics trusted by 60,000 professionals across the globe to drive commercial advantage, evaluate risk, and support the efficient and lawful movement of seaborne trade.Our data is collected only from the most

Mentor junior data scientists, delegate tasks where appropriate, and help set technical direction. Were looking for an experienced and impact-driven Senior Data Scientist to join our Discovery team, focused on helping customers find products they love through better search, recommendations, and pe

You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM’s data science capability. As a Data Scientist at IBM, you will lead the design and delivery of AI solutions

You will work closely with more senior data scientists. Location: London (Hybrid) | Department: Data Science | Level: Junior | Type: Full-Time. We are looking for a data scientist to join our team.

Customer Centric business - 2025 Graduates Maths/Economics -2. Graduate Junior Data Scientist. Strong academic performance with a numerical degree, ideally mathematics or economics.

Provide technical leadership and mentorship to junior and mid-level data scientists. Sign in to set job alerts for “Data Scientist” roles. Own and drive data initiatives across demand prediction, optimisation, and computer vision.

Junior Machine Learning Engineer (6 Months Fixed Term Contract). Junior Machine Learning Engineer (6 Months Fixed Term Contract). Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving r