Trabajos junior data scientist en Reino Unido

Programming experience with Python, SQL.

Junior Data Scientist – Master’s Graduate Role.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.This is an excellent opportunity for a recent Maste

🚀 Senior Data Scientist – £75–80k + Benefits 📍 London | Hybrid (2–3 days office) We’re looking for a Senior Data Scientist to step into a hands-on leadership role within a fast-growing consultancy environment. You’ll combine advanced technical depth with team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role • Lead and mentor a small team of junior Data Scientists & Analysts., • Deliver advanced machine learning and predictive analytics projects end-to-end., • Engage with clients to define problems and build data-driven strategies., • Ensure best practices in reproducibility, coding standards, and scalable pipelines., • Translate complex insights into actionable outcomes for non-technical stakeholders. ✅ What We’re Looking For • 5+ years’ industry experience in Data Science, ideally with consulting exposure., • Strong academic background (MSc/PhD in Data Science, Computer Science, Statistics, or similar)., • Experience managing or mentoring junior talent., • Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks., • A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both inside and outside of work: • Private medical, health, and life insurance (with option to extend to family)., • Travel insurance covering business and personal trips., • Hybrid working & flexibility around client commitments., • Recognition & reward schemes – performance-based, not box-ticking., • Regular socials, team-building days, and volunteering opportunities., • Professional development support – structured learning, mentoring, and cross-discipline growth., • A supportive, people-first culture that prioritises wellbeing and work–life balance. 💡 Salary: £75,000–£80,000 (DOE) 💡 Location: London (hybrid, 2–3 days office) 📩 Ready to take the lead on impactful data science projects? Apply today and let’s connect.

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.

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.

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

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

Frontier Economics is an economics consultancy that tackles the big questions facing governments, businesses and society. Were determined that everyone has an equal chance to join us and progress their career at Frontier. Frontier Economics is an equal-opportunity employer and makes employment dec

Customer Centric business - 2025 Graduates Maths/Economics -2.

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

As the Lead Data Scientist, you’ll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth. Provide targeted tech

Sign in to set job alerts for “Data Scientist” roles. Provide technical leadership and mentorship to junior and mid-level data scientists. Principal Consultant - Data, AI and ML Engineering.