Lead Data Scientist

Proventeq; Reading; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading company in IT services is seeking a Lead Data Scientist to oversee and direct data science and AI projects. The successful candidate will provide guidance and mentorship to technical teams and lead innovation initiatives. This role offers flexibility with a hybrid working model and opportunities for career growth.

Benefits

Private health insurance

Flexible working

Performance bonus

Contributory Pension Scheme

25 days holiday

Qualifications

• Experience leading data science or AI projects.
• Hands on coding experience in Python for data science.
• Experience managing teams and mentoring.

Responsibilities

• Lead data science/AI projects from scoping to delivery.
• Provide technical governance and management to teams.
• Communicate complex ideas to non-technical customers.

Skills

Technical governance

Project delivery

Data Science best practices

Communication of complex ideas

Agile/Waterfall understanding

Python for data science

Modelling expertise

Education

Bachelors / Masters in Computer Science or related field

Tools

Azure ML

Git & GitHub

Job description

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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 level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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