Senior Data Scientist

About AJ Bell

What we offer

• 26 days 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.
• Agency information
• This vacancy is being managed exclusively by our in-house Recruitment team. We are not partnering with recruitment agencies on this opportunity and will only accept applications submitted directly by candidates.

Qualifications

• 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.
• Desirable
• 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.