Senior Data Scientist

Turn complexity into clarity.

At AJ Bell, we believe investing should feel good. Making that possible means continually understanding our customers, our business and the opportunities to improve how we work.

As a Senior Data Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight. You'll use Python, SQL, statistical methods and appropriate machine-learning techniques to understand what's happening, why it's happening and what could happen next.

You'll combine analytical rigour with commercial judgement and strong stakeholder engagement, making sure analysis doesn't stop at an interesting finding. Your work will help people make better decisions, understand opportunities and risks, and take practical action.

This is a role for someone who enjoys creating clarity from ambiguity. You'll work closely with senior stakeholders to understand the question behind the question, explore the data, develop robust analysis and communicate the "so what?" in a way that people can use.

What we're looking for

We're looking for someone who's curious, commercially minded and highly analytical. You'll be equally comfortable working in Python and SQL, discussing an uncertain question with a senior stakeholder and stepping back to explain the "so what?" in clear, straightforward language.

Most importantly, you'll be someone who enjoys turning ambiguity into clarity and analysis into decisions.

Essential

• Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional.
• Strong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions.
• Advanced Python skills for data analysis and modelling, together with strong SQL capability.
• Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation and propensity modelling.
• Sound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches.
• Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis.
• Excellent requirements-gathering, stakeholder-management and project-planning skills.
• Excellent written communication, with experience producing analytical papers or recommendations for senior audiences.
• Ability to translate complex analysis into concise conclusions, commercial implications and practical actions.
• Ability to iterate quickly, prioritise effectively and provide useful initial answers without waiting for perfectly defined requirements.