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Lead Data Scientist

Proventeq
Reading
1 month ago
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  • Direct data science/AI projects from scoping to delivery, to include consulting presales, discovery, demos, technical advisory, fuller development and production.
  • Providing technical governance & leadership, management and guidance to other teams, Data architects & developers. Mentoring where appropriate.
  • Leading internal innovation projects.
  • Understanding of roles of neighbouring teams, e.g. data engineering, AI governance.
  • Communicating complex ideas to non-technical customers.
  • Able to balance multiple projects, internal and customer facing, and work in a dynamic and fast environment.
  • Able to speak at Conferences.
  • Possibly involved in bringing in new talent and defining training for the team.

Key Responsibilities

  • Direct data science/AI projects from scoping to delivery, to include consulting presales, discovery, demos, technical advisory, fuller development and production.
  • Providing technical governance & leadership, management and guidance to other teams, Data architects & developers. Mentoring where appropriate.
  • Leading internal innovation projects.
  • Understanding of roles of neighbouring teams, e.g. data engineering, AI governance.
  • Communicating complex ideas to non-technical customers.
  • Able to balance multiple projects, internal and customer facing, and work in a dynamic and fast environment.
  • Able to speak at Conferences.
  • Possibly involved in bringing in new talent and defining training for the team.

Required Skills

  • A Bachelors / Masters in a Computer Science or related technical discipline.
  • Technically competent in Data Science & AI with an understanding of it’s path and development.
  • Hands on project delivery, advising & delivering on customer solutions.
  • Data science best-practice pipeline.
  • Open and closed source experience.
  • Agile/Waterfall understanding.
  • Cloud, ideally Azure and its core AI products (Azure ML, Azure OpenAI, AI Foundry).
  • Modelling: Expertise in at least 2 areas of AI, e.g. forecasting, NLP/NLM, vision. Experience with GenAI, particularly Language Models.
  • Coding: Python for data science (DS). Low/no code approach to DS/AI
  • IDEs & notebooks.
  • Git & GitHub (or similar)
  • Production: Serving to APIs, e.g. Streamlit, Dash Production particularly MLOps/LLMOps

Good To Have Skills

  • Fabric
  • Copilot, Copilot Studio
  • PySpark, R, Julia
  • Databricks
  • CRM familiarity, e.g. Salesforce
  • Able to learn new skills on the fly, staying topical in a rapidly evolving field
  • Innovating new products
  • Microsoft Azure Data Scientist Associate (DP-100)

What We Offer

  • Competitive salary plus discretionary performance bonus
  • Flexible working, open culture and opportunities for fast career progression
  • Private health insurance
  • Contributory Pension Scheme, Life Assurance
  • Rest up with 25 days’ holiday per year

Job Location

This role will be based at our Reading office in the UK; however, we offer a flexible hybrid working model.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesIT Services and IT Consulting

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