AJ Bell Logo

AJ Bell

Senior Data Scientist

Posted 4 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in England, GBR
Senior level
Remote or Hybrid
Hiring Remotely in England, GBR
Senior level
The Senior Data Scientist transforms ambiguous business questions into actionable insights using Python, SQL, statistical methods, forecasting, regression, classification, segmentation, and machine learning. The role involves analyzing complex datasets, validating models, engaging stakeholders, communicating findings to senior audiences, and translating analysis into commercial decisions. Desirable experience includes time-series modeling, churn and propensity models, cloud data platforms, Streamlit, Power BI, and financial services.
The summary above was generated by AI
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

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.

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 762,000 customers trust us to manage more than £121.5 billion 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

  • 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.

AJ Bell London, England Office

London, United Kingdom

Similar Jobs

7 Days Ago
Remote or Hybrid
United Kingdom
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.
Top Skills: Cloud TechnologiesDeep LearningGpu TechnologiesLarge Language Models (Llms)Python
Yesterday
Remote
United Kingdom
Senior level
Senior level
Artificial Intelligence • Fintech • Machine Learning • Software
Own the strategy, design, and production development of Provenir’s identity graph and graph-driven intelligence. Build pipelines for identity resolution, link analysis, clustering, anomaly detection, ranking, and fraud intelligence. Partner with engineering and product teams to translate business problems into product capabilities, establish data science standards, and ensure quality, scale, and explainability. Mentor colleagues and eventually grow a data science team while remaining hands-on with graph methods, analytical tooling, and pragmatic AI applications.
Top Skills: Amazon NeptuneAWSDaskGraphframesJanusgraphLlmsNeo4JNetworkxPythonSparkSQL
19 Days Ago
In-Office or Remote
United Kingdom
Senior level
Senior level
Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
Develop and validate agentic AI capabilities for patent analysis using machine learning, NLP, LLMs, generative AI, retrieval, and hybrid search. Define multi-step reasoning workflows, analyze large-scale intellectual property datasets, establish model evaluation and benchmarking practices, and translate experiments into product recommendations. Collaborate with product teams, intellectual property experts, and engineers to deliver scalable, customer-facing solutions.
Top Skills: AutogenEmbeddingsGenerative AiGoogle AdkHybrid SearchLangchainLanggraphLarge Language ModelsLexical SearchMachine LearningNatural Language ProcessingPrompt EngineeringPythonRetrieval-Augmented GenerationSemantic SearchVector Databases

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account