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The Senior Data Scientist will lead the development of advanced analytical and machine learning solutions, guiding others in data science methods and ensuring outputs are robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.
Job Responsibility:
Lead the design, development, validation and deployment support of data science models and analytical products
Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate
Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation
Work with data engineers and software teams to make data science outputs scalable, maintainable and usable
Communicate complex findings, uncertainty and limitations clearly to stakeholders and delivery teams
Promote responsible AI, data ethics, privacy and model governance within projects
Requirements:
Strong experience delivering data science solutions in production-oriented or client delivery environments
Strong Python/R skills and practical knowledge of machine learning libraries and analytical tooling
Experience with model validation, performance assessment, reproducible coding and testing approaches
Ability to scope data science opportunities and translate them into achievable delivery plans
Strong communication skills, including explaining model outputs, assumptions and trade-offs
Good understanding of data engineering, data quality, privacy, ethics and responsible model use
Nice to have:
Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products
Experience mentoring data scientists or setting technical standards within a team
Experience working in consultancy, public sector, regulated or enterprise delivery