Talent Acquisition Lead (Data Science)

dunnhumby
Manchester
2 weeks ago
Create job alert

dunnhumbyis the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

Our mission:to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First.

dunnhumbyemploys nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.

We're looking for aTalent Acquisition Leadto join our global talent team! This role will primarily focus on the recruitment for our data science teams where you will be responsible for hiring top class talent across the UK and managing the full recruitment lifecycle.

What you'll be working on

  • Partner with Hiring Managers and HR Business Partners to develop and implement resourcing plans for roles at all levels.
  • Work with senior leadership to devise short, medium and long-term recruitment strategies for your business area.
  • Manage the end to end recruitment process for roles including; vacancy planning to meet time to hire targets, defining and managing go to market strategy to ensure adequate quality and quantity of candidates, pre-selection of candidates to generate shortlist, advising on and facilitating selection activities, offer management and keeping in touch with candidates throughout.
  • Manage the end to end candidate experience ensuring a positive experience and impact on our employer brand.
  • Maintain accurate and timely records in the Applicant Tracking System (ATS) to enable vacancy and candidate management and the automatic generation of MI.
  • Identify and work on global continuous improvement projects within recruitment using the latest in technology, big data and candidate attraction platforms.
  • Supporting on the recruitment of other disciplines as and when the need arises.

What we expect from you

  • Proven experience in data science recruitment, ideally in-house or on an RPO
  • High level of organisation skills and attention to detail
  • Proactive recruiting experience, including the use of LinkedIn Recruiter and Talent Insights
  • Experience managing senior level stakeholders
  • Awareness and some knowledge of AI in the recruitment industry

What you can expect from us

We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact to discuss how we can meet your needs.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found(here)

Related Jobs

View all jobs

Cyber Data Engineer - Splunk Specialist

Cyber Data Engineer - Splunk Specialist

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation

Senior Data Engineer, Consultant

Senior Data Analyst - Logistics

Senior Recruitment Consultant - Data Science

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.