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Lead Data Scientist

Proventeq
Reading
1 week ago
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Lead Data Scientist

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Lead Data Scientist

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Proventeq
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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