Senior Data Scientist Job Description and Role Profile

The Senior Data Scientist is responsible for leading advanced analytics and modelling initiatives that deliver measurable business value. This role is suitable for experienced data scientists who can translate complex business problems into robust data solutions, provide technical leadership, and mentor less senior colleagues.

Senior Data Scientist Job Profile

The Senior Data Scientist designs, develops and validates predictive and prescriptive models to inform strategic decisions. The role combines strong statistical expertise, rigorous experimental thinking and practical application of machine learning methods to solve business challenges.

The post holder will work across functional teams to define analytical requirements, ensure data quality, maintain model governance and communicate findings to technical and non-technical stakeholders. The position requires a balance of independent research, project delivery and team leadership responsibilities.

Senior Data Scientist Job Description

The Senior Data Scientist leads the end to end analytics lifecycle from problem formulation through to productionised models and ongoing performance monitoring. Responsibilities include designing experiments, selecting appropriate modelling approaches, performing feature engineering and defining evaluation metrics to ensure models meet business and reliability criteria.

The role operates in a collaborative environment and requires frequent engagement with product owners, data engineers, analysts and senior stakeholders to translate requirements into analytic plans and actionable insights. The Senior Data Scientist is expected to document methods, establish reproducible workflows and uphold standards for model validation, explainability and data governance.

In addition to technical delivery, the Senior Data Scientist provides mentorship and technical review for the analytics team, contributes to hiring and capability development, and represents analytical findings to leadership to influence strategy and prioritisation.

Senior Data Scientist: Duties and Responsibilities

• Lead design and delivery of predictive and prescriptive analytics projects from scoping to operational handover
• Translate business problems into rigorous analytical questions and success criteria
• Develop, test and validate statistical and machine learning models to meet defined objectives
• Perform advanced feature engineering and selection to improve model performance and robustness
• Define and implement model evaluation frameworks and performance metrics
• Ensure data quality and suitability through exploratory data analysis and data validation checks
• Establish and maintain reproducible modelling workflows and clear documentation of methods
• Monitor model performance in production and implement maintenance or retraining plans as required
• Collaborate with data engineering and product teams to support model integration and deployment readiness
• Provide technical leadership, code review and mentoring to junior data scientists and analysts
• Design and oversee experiments and A/B tests to measure impact and support causal inference
• Communicate analytical findings and model implications clearly to technical and non-technical stakeholders
• Apply best practice for model governance, documentation and auditability
• Contribute to team prioritisation, project planning and continuous improvement of analytics processes

Senior Data Scientist: Requirements and Qualifications

• Degree in a quantitative discipline such as statistics, mathematics, computer science, engineering or a related field; advanced degree preferred
• Substantial practical experience in data science or analytics, typically gained over several years at a senior level
• Deep knowledge of statistical methods, predictive modelling and experimental design
• Demonstrable experience with end to end model development and validation
• Strong programming and scripting skills for data processing, analysis and automation
• Proven ability to transform ambiguous business questions into structured analytical approaches
• Experience in model evaluation, performance monitoring and managing model risk
• Excellent problem solving, critical thinking and attention to detail
• Strong verbal and written communication skills with ability to present complex results clearly
• Track record of mentoring or leading technical team members and contributing to capability building
• Familiarity with principles of data governance, privacy and ethical use of data
• Ability to work collaboratively in cross functional teams and to influence stakeholders at different levels
• Organisational skills to manage multiple priorities and deliver to deadlines