Data Scientist

Marshall Wolfe; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A large national banking organization is seeking an experienced Data Scientist - Assistant Vice President. The candidate will build and automate data pipelines, design predictive models, and influence decision-making through data-driven insights. This role offers excellent career progression within a prestigious financial organization. The position is hybrid, requiring 2 days in the office each week.

Qualifications

• Advanced skills in data engineering, modeling, and analytics.
• Experience with data warehousing, mining, and visualization tools.
• Strong communication and stakeholder engagement abilities.

Responsibilities

• Build and automate data pipelines from diverse sources.
• Design predictive models and machine learning solutions.
• Translate complex data into actionable insights for stakeholders.

Skills

Data engineering

Modeling

Analytics

Stakeholder engagement

Python

R

Tools

Pyspark

AWS cloud

Data visualization tools

Job description

Overview

Data Scientist - Assistant Vice President

Are you passionate about turning data into decisions? Our client, a large national Banking organisation, is looking for an experienced Data Scientist to join their dynamic analytics team. You’ll work at the intersection of data, strategy, and innovation—building models, uncovering insights, and driving impact across the business.

What You’ll Do

• Build and automate data pipelines from diverse sources
• Design predictive models and machine learning solutions
• Translate complex data into actionable insights for stakeholders
• Collaborate across teams to solve real-world business challenges
• Influence decision-making with evidence-based recommendations

What We’re Looking For

• Advanced skills in data engineering, modeling, and analytics
• Experience with data warehousing, mining, and visualisation tools
• Strong communication and stakeholder engagement abilities
• Strategic mindset with a focus on risk, governance, and transformation
• Proven ability to lead projects and coach others

Technical Skills To Include

• Python or R
• Pyspark
• Experience of deploying models
• AWS cloud
• Experience of GenAi
• Experience of working in a large, complex organisation

Locations

Locations: London, Northampton, Manchester or Glasgow

Hybrid: 2 days per week in the office

This is a change to join a prestigious financial organisation with excellent career progression opportunities. Please apply with your CV in the first instance.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Business Consulting and Services