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4 дня назад

Senior AI Data Scientist

72 702 - 80 780GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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