Data Science Jobs

• London
• £90,000 – £120,000 pa

This role involves analyzing complex sports datasets to develop and refine quantitative models that inform trading strategies. You'll apply statistical techniques and probability to identify patterns in sports data, working closely with analysts, developers, and traders. The position emphasizes model validation, performance assessment, and clear communication of findings in a fast-paced, data-driven environment.

• Cambridge
• Hybrid
• £35,000 – £40,000 pa
• Mid-level

Designs and maintains Power BI dashboards and SQL-based reporting across warehouse operations, inventory, transport, customer service, labour productivity, costs and budgets. Works with Distribution, Supply Chain, Commercial and IT stakeholders to turn operational and financial data into recommendations that change site performance, using sources such as Fabric, WMS and SAP.

Power BI · SQL · Microsoft Fabric +2

• Cardiff
• Hybrid
• £35,000 – £45,000 pa

Split role combining coaching Level 4 Data Analytics apprentices with hands-on data and applied AI work for a Welsh training provider. You'll run group and one-to-one sessions, assess learner work, and build Power BI dashboards, automations and AI courses covering tools like Claude and Copilot. Applied AI focus, not machine learning model building.

Power BI · Power Automate · Excel +4

• London
• Hybrid
• £40,000 – £44,000 pa
• Mid-level
• Permanent

The BI Analyst role involves delivering analytics projects, translating complex data into clear narratives, and building dashboards using tools like Tableau. You will work on impactful client projects across various sectors, collaborating with consultants and stakeholders to influence strategic decisions.

• London
• Hybrid
• £50,000 – £65,000 pa
• Mid-level
• Permanent

Join a growing data and analytics team where you'll deliver insight supporting data-driven marketing and commercial decisions. You'll build predictive models and machine learning techniques, prepare and cleanse data from multiple sources, and translate findings into clear stories for technical and non-technical audiences.

Python · R · SQL

• Sydney, Australia
• Hybrid
• Senior · manages people
• Permanent

Lead high-impact AI projects, defining data science approaches and designing robust software architectures for bespoke client solutions. Mentor junior data scientists, partner with commercial teams on client relationships, and ensure delivery rigour across the project lifecycle. Hands-on Python, NumPy, Pandas and deep-learning work sits alongside team leadership.

Python · NumPy · Pandas +2

• Sydney, Australia
• Hybrid
• Mid-level
• Permanent

Designs and delivers bespoke data science solutions for clients across government, finance, retail, energy and life sciences, mapping end-to-end approaches and software architecture. Acts as a technical advisor, scoping new projects and setting the technical bar for delivery teams, with strong Python, NumPy, Pandas and TensorFlow/PyTorch work.

Python · NumPy · Pandas +3

• Sydney, Australia
• Hybrid
• Entry level
• Internship

Forward Deployed Software Engineers work directly with customers to understand their hardest problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive-level strategy. Interns own end-to-end execution of high-stakes projects in small, lightly supervised teams, working with Python, Java, C++ or TypeScript.

• Northampton
• Entry level

Support a commercial category team as the first point of contact for a branch network and suppliers, ensuring the right product range at the right margin and maximising supplier funding. Work daily with Finance, Marketing, Supply Chain and Data, using AI and data automation to streamline processes and analyse category and customer performance.

• London
• £600 – £750 pd
• Mid-level
• Contract

Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and engages stakeholders to translate complex business problems into data science solutions. Retail context with scope for personalisation, recommendation and experimentation work.

• London
• Hybrid
• £40,815 – £52,790 pa
• Mid-level
• Contract

Contributes to trial protocols, develops statistical analysis plans and conducts analyses across primary care, psychiatry, surgery and orthopaedics studies within a Pragmatic Clinical Trials Unit. Also expected to do a small amount of teaching, working in a collaborative research team at the Wolfson Institute of Population Health.

• London
• Hybrid
• Senior

Delivers models, algorithms and insights for Tesco UK Suppliers using transactional, shopper and clickstream data, working with Client Leadership teams to identify growth opportunities. Builds scalable, reusable solutions in Python, SQL and PySpark, and shapes new workstreams from the ground up.

Git · PySpark

• London
• Hybrid
• Lead
• Contract

Owns the end-to-end product lifecycle for data-driven, customer-centric products that help Tesco tailor ranges and planograms to individual stores, from research and discovery through delivery and optimisation. Works closely with Tesco plus data science, engineering and analytics teams to deliver scalable, API-ready models and solutions.

• Slough
• Hybrid · 2–3 days in office
• £330 – £360 pd
• Junior
• Contract

Hands-on role building, validating and optimising basic models and data pipelines across the data science lifecycle, from exploratory analysis to cloud-based automation of decision-making. Work spans churn reduction, customer lifetime value, stock management and marketing effectiveness, collaborating in a data science team and with stakeholders in the telecoms sector.

scikit-learn · PySpark

• Manchester
• Mid-level

Day-to-day work centres on analysing and reconciling large finance datasets in SQL, investigating data quality issues across multiple systems, and defining business rules, mappings and acceptance criteria. The role also covers testing, validation and release support, producing analysis for technical and non-technical stakeholders while working with finance, risk, data and technology teams.

Power BI · Tableau · Looker +1