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.