As a Senior Data Scientist, you will lead the design and delivery of advanced data science and artificial intelligence solutions across a range of client engagements in the public sector and financial services.
Core Responsibilities
* Lead the design, development, and deployment of data science and AI solutions across multiple client projects.
* Apply statistical modeling, machine learning, and advanced analytics techniques to structured and unstructured data.
* Deliver AI-enabled solutions, including use of foundation models, large language models, or other applied AI approaches where appropriate.
* Translate ambiguous business problems into well-defined analytical use cases and solution designs.
* Conduct exploratory data analysis, feature engineering, model development, validation, and evaluation.
* Work closely with data engineers, platform teams, architects, and stakeholders throughout the delivery lifecycle.
* Provide technical leadership and mentoring to junior data scientists, contributing to team capability building and best practice.
* Support technical decision making, including trade-offs around accuracy, interpretability, scalability, cost, and operational risk.
* Discuss flexible working options with the recruitment team, if desired.
Required Qualifications
* Bachelor's degree in a relevant field.
* Strong proficiency in Python and experience with data science and machine learning libraries (e.g., NumPy, Pandas, scikit-learn).
* Practical experience applying machine learning or advanced analytics in a professional delivery environment.
* Exposure to AI frameworks or techniques (e.g., TensorFlow, PyTorch, LLM APIs).
* Experience working with cloud platforms such as AWS, Azure, or GCP.
* Solid understanding of data modeling, data quality, and analytical best practices.
* Strong communication and problem‑solving skills, with the ability to explain complex concepts to non‑technical stakeholders.
* Proven experience delivering data‑driven solutions end‑to‑end in a commercial or consulting context.
* Experience delivering AI or machine learning use cases, including NLP, forecasting, classification, optimisation, or generative AI.
* Familiarity with deploying or operationalising models (e.g., model APIs, batch scoring, integration into downstream systems).
* Experience working in regulated or high‑assurance environments such as public sector or financial services.
* Knowledge of SQL and modern data platforms or analytical tooling.
Additional Information
Before joining, you will undergo pre‑employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS); additional National Security Vetting may apply.
We are an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other protected characteristics, and we comply with all fair employment practices regarding citizenship and immigration status.
Benefits
* Flexible working approaches, sabbatical programs, paid paternity leave, maternity leave, and an innovative maternity returner scheme.
* 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, Employee Assistance Program, life assurance, and a group pension plan through salary sacrifice.
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