Marshall Wolfe logo

Senior Data Scientist

Job details:

Category:
Data
Work mode:
Hybrid
Experience:
Senior
Employment:
Full-time
Salary:
£70,000 - £80,000 p/y
Added:
28 days ago

Tech stack:

Python SQL Spark PySpark Machine Learning Ai

Perks:

  • Hybrid working model
  • Career development opportunities
  • Flexible location options

Description:

Senior Data Scientist

Locations: London, or Glasgow or Northampton

We are currently partnering with a leading financial institution, to recruit an experienced Senior Data Scientist to join a high-impact analytics and innovation team. This is a fantastic opportunity for a data professional who is passionate about using advanced analytics, AI, and machine learning to influence strategic decision-making at scale.

The Opportunity

As a Senior Data Scientist, you will play a key role in transforming complex and high-volume datasets into meaningful, actionable insights that directly support business growth, innovation, and competitive advantage. Working closely with a range of stakeholders across the bank, you’ll apply advanced analytical techniques to solve real-world problems within a highly regulated environment.

This role offers exposure to cutting-edge data science initiatives, alongside the chance to influence long-term strategy within one of the UK’s most established financial services organisations.

Key Responsibilities

  • Analyse large, complex datasets to uncover trends, patterns, and insights that inform strategic decisions
  • Design, develop, and deploy statistical and machine learning models to solve business problems
  • Apply AI and advanced analytics techniques to enhance decision-making and operational efficiency
  • Write high-quality, production-ready Python code and contribute to shared analytics codebases
  • Query and manipulate large datasets using SQL and PySpark in distributed data environments
  • Communicate analytical insights clearly to both technical and non-technical stakeholders
  • Ensure strong governance, risk, and control standards are embedded in all analytical work

Required essential experience includes:

  • Strong background in statistical analysis and modelling
  • Advanced programming skills in Python
  • Experience working with large datasets using SQL and/or PySpark

Highly desirable skills include:

  • Advanced knowledge of machine learning and AI techniques
  • Experience within financial services or strong understanding of banking products, risk frameworks, and regulation
  • Data visualisation skills, with the ability to present complex insights clearly and effectively

You may also be assessed on broader competencies such as risk and controls, business acumen, strategic thinking, change and transformation, and digital and technology capability.

Why Apply?

  • Join a globally recognised financial institution undergoing significant digital and data transformation
  • Work on high-visibility projects that directly shape business strategy
  • Access long-term career development and progression opportunities
  • Flexible location options across London, Glasgow, or Northampton
  • Hybrid working model and supportive, collaborative team culture


If you’re an experienced Data Scientist looking to take the next step in your career within a prestigious and forward-thinking organisation, we’d love to hear from you.

Apply in the first instance with your CV.

Apply:

Apply

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Job details:

Category:
Data
Work mode:
Hybrid
Experience:
Senior
Employment:
Full-time
Salary:
£70,000 - £80,000 p/y
Added:
28 days ago

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