Senior Data Scientist (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (GenAI): Evaluating emerging AI tools and designing pilots to solve business problems using generative AI and agentic techniques with an accent on performance, reliability, and responsible implementation. Focus on building evaluation methods, developing secure data science assets, and collaborating with multidisciplinary teams to translate requirements into evidence-based solutions.
Location: Salford, UK
Salary: £60,000 - £70,000 depending on skills and experience
Company
Part of ’s Generative AI Programme in the Strategy & Transformation team, enabling AI adoption, fostering innovation, and aligning with public service mission.
What you will do
- Evaluate new AI tools including agentic tooling for performance, reliability, and value in use cases.
- Design and develop pilots and solutions for domain problems using generative AI, agentic, and automation techniques.
- Build evaluation and testing methods to assess efficacy, limitations, and risks of AI tools.
- Collaborate with domain experts, engineers, analysts, and delivery teams to create practical data solutions.
- Develop high-quality, secure data science assets for pilots and scalable implementations.
- Present findings and recommendations to stakeholders to guide tool adoption and design decisions.
- Ensure delivery aligns with values, security, and responsible AI practices.
Requirements
- Experience developing and applying data science or GenAI to business problems in multidisciplinary teams with reliable code.
- Strong analytical skills in evaluating models, tools, or experiments with evidence-based conclusions.
- Ability to communicate findings and trade-offs to technical and non-technical stakeholders.
- Judgement in responsible data science application, including quality, governance, security, and ethics.
- Strong engineering: clean code, Python proficiency, CI/CD, AI-assisted development tools.
Nice to have
- Experience in broadcast, media, start-up, or research environments.
- Strong academic background in data science, ML, or related fields.
- Building with GenAI frameworks (LangChain, LangGraph, PydanticAI) and services (Bedrock, Azure).
- Familiarity with agentic patterns: multi-agent, tool calling, memory/retrieval augmentation.
- Enterprise automation tools (Microsoft Power Platform, Copilot Studio).
Culture & Benefits
- Flexible 35-hour week, 25 days annual leave + option to buy 5 more, defined pension, discounted health/gym.
- Excellent career development and professional growth opportunities.
- Flexible working discussions at any stage, inclusive values-based environment.
- Focus on diversity, inclusion, and belonging; disability confident employer.
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