Junior Data Scientist

Data Scientist

• Salary: Competitive
• Location: Central London
• Sponsorship: Sponsorship is not available, so please only apply if you have the full, unencumbered right to work in the UK.

A large organisation with an established data and analytics function is seeking a Data Scientist to join its central Data & AI team.

This is an opportunity to help shape the organisation's machine learning and predictive analytics capability, using large-scale operational datasets to deliver actionable insights that support better decision-making. Working closely with technical teams and business stakeholders, you will develop advanced analytical solutions that identify future risks, opportunities, and outcomes.

Key Responsibilities

• Develop predictive and prescriptive models using machine learning and statistical techniques.
• Analyse large and complex datasets to identify patterns, trends, risks, and performance opportunities.
• Work with stakeholders to define business problems, test hypotheses, and design data-led interventions.
• Clearly communicate analytical findings, assumptions, limitations, and recommendations to both technical and non-technical audiences.
• Collaborate with Data Engineers to ensure suitable data structures for analytics and machine learning use cases.
• Monitor model performance and recommend improvements as business needs evolve.
• Document methodologies, data sources, and modelling approaches in line with governance standards.

Requirements

• Experience delivering data science and predictive analytics solutions within a commercial or operational environment.
• Strong Python and SQL skills with experience building production-ready analytical solutions.
• Experience developing, validating, and deploying machine learning models.
• Strong understanding of statistical modelling techniques, including forecasting, classification, regression, clustering, and optimisation.
• Experience working with cloud-based analytics platforms such as Microsoft Fabric, Azure, Databricks, Synapse, or similar technologies.
• Ability to translate complex business challenges into structured analytical solutions.
• Strong data visualisation and storytelling skills, ideally using Power BI or similar tools.
• Experience working with large, complex, and imperfect datasets.
• Degree in Data Science, Computer Science, Mathematics, Statistics, or a related discipline, or equivalent commercial experience.

What's on Offer

• Opportunity to work on a modern enterprise data platform with significant datasets and real-world business impact.
• Exposure to advanced analytics, machine learning, and AI initiatives.
• Collaborative environment working alongside engineering, architecture, and business teams.
• The chance to help establish and shape data science best practice within a growing analytics capability.