Senior Data Scientist - Bruin

ZipRecruiter; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading financial services organization in London is seeking a Data Scientist. The role involves transforming complex datasets into actionable insights to support strategic decisions and enhance operational efficiency. Key responsibilities include designing data pipelines, building statistical models, and collaborating with stakeholders. Strong expertise in statistical analysis, Python programming, and data manipulation is essential for success. This is a hybrid role with flexibility across multiple UK locations.

Qualifications

• Expertise in statistical analysis and modelling for real-world data.
• Strong programming skills in Python for production environments.
• Experience with data manipulation techniques using SQL and PySpark.

Responsibilities

• Identify and source data from various platforms.
• Design and maintain data pipelines for processing.
• Build and validate statistical and machine learning models.
• Partner with business stakeholders for data-driven solutions.
• Support governance and risk management.

Skills

Statistical analysis & modelling

Programming (Python)

Data manipulation (SQL, PySpark)

Machine learning/AI algorithms

Data visualisation

Job description

Job Description

We are seeking aData Scientistto join a leading financial services organisation. This role focuses on transforming complex datasets into actionable insights that support strategic decision-making, enhance operational efficiency, and drive innovation.

The successful candidate will demonstrate expertise in:

• Statistical analysis & modelling– applying advanced quantitative methods to real-world data problems.
• Programming (Python )– contributing to production-level codebases.
• Data manipulation– querying, cleaning, and transforming large datasets (SQL, PySpark).

Additional valued skills include knowledge of machine learning/AI algorithms, data visualisation, and familiarity with financial services or regulated environments.

Key responsibilities:

• Identifying and sourcing data from varied internal and external platforms.
• Designing and maintaining data pipelines for efficient acquisition and processing.
• Building and validating statistical and machine learning models to identify patterns, predict outcomes, and highlight risks or opportunities.
• Partnering with business stakeholders to generate value through data-driven solutions.
• Supporting governance, risk management, and adherence to internal controls.

The position may include leadership responsibilities, such as setting objectives, coaching team members, and guiding collaborative projects. Individual contributors will also be expected to take ownership of complex assignments, influence decision-making, and provide specialist advice across functions.

This is a hybrid role with flexibility across multiple UK locations. Candidates should demonstrate strong business acumen, problem-solving ability, and the capability to communicate complex findings effectively to diverse audiences.