4 дня назад
Senior AI Data Scientist
72 702 - 80 780GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Data Scientist (AI/Python/LLM): Designing and evaluating retrieval, semantic, and agentic approaches for analytical reasoning and decision support with an accent on rigorous experimentation, benchmark development, and evidence-based technical recommendations. Focus on building evaluation frameworks, prototyping conversational analytics capabilities, and translating research findings into enterprise AI adoption patterns.
Location: Hybrid role based in Bristol, United Kingdom, with at least two days per week or 40% of working time in the office
Salary: £72,702–£80,780 per year
Company
is a major UK financial services organisation investing in technology, data, and artificial intelligence to improve outcomes for customers, colleagues, and communities.
What you will do
- Design and conduct research into retrieval, semantic, and agentic approaches for analytical reasoning and decision support.
- Build benchmarks, evaluation frameworks, and experimental methodologies for objective assessment of AI solutions.
- Prototype and evaluate AI capabilities using Python, data analysis, and large language model technologies.
- Produce technical evaluations, comparative assessments, and research outputs to inform technology decisions.
- Develop design patterns for conversational and agentic analytics experiences.
- Collaborate with stakeholders to translate research findings into practical recommendations for enterprise adoption.
Requirements
- Strong knowledge of retrieval methods, search strategies, and retrieval-augmented generation architectures.
- Understanding of large language model architectures, reasoning techniques, and agentic systems.
- Experience designing evaluation frameworks and applying experimentation and statistical methods.
- Strong SQL and data analysis skills, including BigQuery, Teradata, or equivalent platforms.
- Research methodology expertise, including literature reviews and hypothesis-driven experimentation.
- Python development and AI prototyping skills.
Nice to have
- Knowledge of semantic layers and metrics modelling.
- Experience with ontologies, knowledge representation, taxonomies, and metadata design.
- Exposure to knowledge graphs, graph-based reasoning, NL2SQL, Text-to-SQL, conversational analytics, dialogue with data, enterprise data architecture, or data products.
Culture & Benefits
- Hybrid working options with flexibility in office attendance and working patterns where adjustments are required.
- 30 days of holiday plus bank holidays.
- Generous pension contribution.
- Wellbeing support and professional development opportunities.
- Colleague benefits supporting health, inclusion, and work-life needs.
Hiring process
- Reasonable adjustments are available throughout the recruitment process.
- Eligible applicants with disabilities may receive an interview guarantee through the Disability Confident Scheme.
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