Head of Data Science & AI

Global Resourcing; England; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Head of Data Science and AI to lead innovative projects that enhance data efficiency and automate processes. This pivotal role involves strategizing the use of data science and AI to deliver significant customer benefits. You will be at the forefront of leading a talented team, guiding them in applying advanced techniques to solve complex business challenges. If you are passionate about leveraging data to drive performance and introduce new capabilities, this opportunity offers a chance to make a substantial impact in a dynamic environment.

Qualifications

• Expert in data science and machine learning techniques.
• Solid experience in machine learning ops and A/B testing.
• Knowledge of responsible and ethical AI practices.

Responsibilities

• Drive data efficiency and embrace automation for performance improvement.
• Lead a team of data scientists and support project delivery.
• Provide leadership on AI governance and procurement of products.

Skills

Data Science

Machine Learning

Supervised Learning

Unsupervised Learning

Deep Learning

Python

R

C++

A/B Testing

AI Governance

Job description

This range is provided by Global Resourcing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Head of Data Science and AI

Contract – 12 months

Active & transferrable SC Clearance preferred (or must be eligible to undergo clearance)

A Head of Data Science and AI is needed to drive data efficiency and embrace automation to improve performance and introduce new capabilities. The role is responsible for strategising the use of data science and AI automation to deliver efficiency and customer benefits.

The incumbent will lead a team of data scientists and help build capability and skills, set objectives, and provide support with project delivery. You will provide leadership on AI governance, the use of AI applications, and the procurement of 3rd party products.

Key Skills & Experience:

• Expert in data science and machine learning, including a range of techniques such as supervised (e.g. decision trees, random forests), unsupervised (e.g. clustering) , and deep learning.
• Expert knowledge of exploratory data analysis and statistical analysis of large datasets.
• Solid experience in machine learning ops and A/B testing different models.
• Expert knowledge of responsible and ethical AI practices.
• Experience in languages such as Python, R, and C++.
• Experience of innovating and solving business problems through the application of data science or machine learning.
• Experience of measuring the benefits of data science solutions and roadmapping improvements.
• Experience of leading projects and teams.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology and Strategy/Planning

• Industries

  Staffing and Recruiting

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