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13 часов назад

Senior Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/director
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (AI): Developing end-to-end AI/ML solutions for clients, including NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, and price optimization. Focus on production-grade agentic RAG systems and providing guidance to junior team members.

Location: United Kingdom, England, London. Ability to travel to clients and FTI office(s) required.

Company

hirify.global is the leading global expert firm for organizations facing crisis and transformation.

What you will do

  • Develop and oversee comprehensive ETL processes and maintain functional relational databases.
  • Perform exploratory data analysis and render key insights through data visualizations.
  • Manage proof-of-concepts, design modeling approaches, and manage the model lifecycle.
  • Develop scalable and maintainable data pipelines and models, adhering to best design principles.
  • Partner with internal and external stakeholders to showcase results.
  • Coach and mentor junior data scientists.

Requirements

  • Bachelor's degree in Math, Physics, Computer Science, Statistics, or equivalent.
  • A few years of data science experience.
  • Proficiency in Python, SQL, and Git.
  • Experience with AI/ML frameworks such as Huggingface, Torch, Tensorflow, Scikit-Learn, and Spacy.
  • Experience with MLOps platforms like MLFlow, dbt, Docker, and Kubernetes.
  • Experience with cloud environments such as AWS.

Nice to have

  • Experience in a Solution Architect role, with a demonstrated ability to design technical solutions including but not limited to Database Design, ModelOps, and Orchestration.

Culture & Benefits

  • Market competitive benefits (including pension), supplemented by 15 flexible benefits.
  • Professional development programme, wellness, recognition, and community volunteering initiatives.
  • Flexible/hybrid working arrangements.

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