Senior Data Scientist

AJ Bell; Manchester; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

26days holiday

Pension 7%

Discretionary bonus

Share schemes

Health Cash Plan

Free onsite gym

Enhanced family leave

Travel and bike loan

Employee Assistance Programme

Job summary

AJ Bell is seeking a Senior Data Scientist to turn complex business questions into actionable insight. You will lead high-value analytical work using Python, SQL, statistical methods and ML techniques to explain what is happening, why, and what may happen next.

You will collaborate with senior stakeholders, communicate clearly, and convert analysis into practical business actions, delivering results with commercial impact.

Qualifications

• Significant experience turning business questions into actionable insights.
• Strong Python/SQL skills for data analysis and modelling.
• Experience applying statistical and machine-learning techniques to business problems.

Responsibilities

• Lead high-value analytical work solving complex business questions.
• Explain findings clearly to senior stakeholders and translate into actions.
• Collaborate with cross-functional teams to drive data-informed decisions.

Skills

Python

SQL

Statistics

Forecasting

Machine Learning

Stakeholder management

Written communication

Problem solving

Data visualization

Tools

Snowflake

Streamlit

Power BI

Job description

The Senior Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder combines analytical rigour with commercial judgement, stakeholder engagement and strong written communication, ensuring that analysis results in practical business decisions.

The kind of person we are looking for

Curious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models, sitting with a senior stakeholder to clarify an uncertain question, and stepping back to explain the \"so what?\" in plain language. Most importantly, they will create clarity from ambiguity, work at pace and turn analysis into decisions.

Competence, knowledge and skills

• 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.
• Experience with time-series techniques such as ARIMA, exponential smoothing or related forecasting methods.
• Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models.
• Experience analysing financial, operational, customer or risk data.
• Experience using machine-learning techniques beyond traditional statistical analysis.
• Experience with Snowflake or another cloud data platform, Streamlit, and Power BI
• Experience in financial services or another regulated, data-rich environment.

About AJ Bell

At AJ Bell, we believe investing should feel good. Whether you're looking for an ISA, pension or dealing account, whether you want to invest with the help of a financial adviser or do it yourself, we have easy-to-use solutions to suit people from all walks of life.

We're one of the UK's fastest-growing investment platform businesses, trusted by everyone from professional financial advisers to first-time investors.

Today, over 762,000customers trust us to manage more than £121.5billion of assets. By continually striving to make investing simpler and more accessible, we're helping more people take control of their financial futures.

We're proud to be recognised as one of the UK's Best 100 Companies to Work For for six consecutive years, and a Great Place to Work® in 2025 and 2026, a reflection of our supportive and collaborative culture.

What we offer

• 26days holiday, increasing with service, plus buy/sell scheme and bank holidays
• 7% pension with matched contributions
• Discretionary bonus scheme
• Share schemes, including free shares and BAYE
• Health Cash Plan and discounted private healthcare
• Free onsite gym
• Enhanced family leave, subject to qualifying criteria
• Travel and bike loan schemes
• Employee Assistance Programme

Life at AJ Bell

• Regular social events including summer and Christmas parties
• Learning and development opportunities tailored to you
• Casual dress code
• Friendly, supportive team environment

Our ways of working

At AJ Bell, our people are the heart of our culture. We believe in building strong connections by working together. That's why we offer a hybrid working model, where you'll spend a minimum of 50% of working time per month in the office. For new team members, an initial period will be spent full-time in the office to help you immerse yourself in our business and build valuable relationships with your colleagues.

Inclusion & diversity

We're committed to creating an inclusive environment where everyone feels respected, supported and able to be themselves at work.

We welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.