Data SciencemidLeeds, England, UKhybridfulltimeData Infrastructure and AnalyticsPythonRSQLMicrosoft FabricPower BIMachine LearningPredictive ModelingStatistical Analysisposted 28 Jul
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Data Scientist Leeds (Hybrid: 1-2 days onsite per week) £70,000 - £75,000 + 10% Bonus + Excellent Benefits Gravitas is partnering with a leading UK organisation to recruit an experienced Data Scientist to join a growing data function. This is an exciting opportunity to play a key role in shaping a modern data and AI capability, working across the full data science lifecycle while helping drive the adoption of Microsoft Fabric and advanced analytics . You'll work closely with business stakeholders, data engineers, and BI professionals to deliver predictive models, actionable insights, and scalable data solutions that directly influence commercial decision-making and customer outcome s. The Role Reporting to the Head of, you will be responsible for developing advanced analytical solutions, building predictive models, and supporting the evolution of a modern enterprise data platfo rm. Key responsibilities include : * Partnering with stakeholders across the business to understand strategic priorities and identify opportunities where data science can create measurable value. * Transforming complex datasets into meaningful insights, recommendations, and data products that support better decision-making. * Applying advanced analytics, machine learning, AI, and statistical techniques to solve business challenges and improve performance. * Designing, developing, deploying, and optimising predictive, propensity, and optimisation models focused on customer acquisition, retention, cross-sell opportunities, customer lifetime value, and margin improvement. * Exploring emerging technologies and AI capabilities to improve efficiency, scalability, and commercial outcomes. * Supporting the ongoing implementation and adoption of Microsoft Fabric, helping to establish modern and scalable data science and analytics capabilities. * Collaborating with Data Engineering teams to integrate and operationalise internal and external data sources while maintaining high standards of data quality and governance. * Contributing to the development of data pipelines, APIs, integrations, and reusable data assets within the Microsoft Fabric ecosystem. * Producing high-quality documentation for models, methodologies, datasets, and projects. * Working alongside BI and Reporting teams to deliver impactful dashboards, visualisations, and data products for both technical and non-technical audiences. About You We're looking for a commercially minded Data Scientist who combines strong technical expertise with a passion for solving real-world business prob l ems. Key require ments: * Proven experience working as a Data Scientist or in a similar analytical role. * Strong programming skills in Python, R, and SQL. * Strong commercial awareness with the ability to identify opportunities where data-driven solutions can deliver business values * Solid understanding of statistical analysis, machine learning techniques, and optimisation algorithms. * Experience working with data visualisation tools such as Power BI, Qlik, or Matplotlib. * Exposure to Microsoft Fabric and modern data platform architectures, including lakehouse concepts, analytics, and AI capabilities, is highly desirable. * Experience working in Agile/Scrum environments, collaborating with cross-functional teams and delivering solutions through iterative development. * Degree-level qualification in a relevant discipline. What's on * Offer?£70,000 - £75,000 base salary * 10% annual bonus * Hybrid working (1-2 days per week in the Leeds office) * 25 days annual leave plus bank holidays * Additional birthday holiday after 1 year's service * Holiday buy/sell scheme (up to 5 days) * Free breakfast * Early Friday finish (2:45pm) * Pension scheme * 4x salary life assurance * Cycle to Work scheme * Casual dress code * Supportive, collaborative culture with excellent career development opportunities If you're passionate about data science, AI, machine learning, and helping shape a modern data platform whilst driving tangible business impact, we'd love to hear from you.