Senior Applied Data Scientist

dunnhumby

Monterrey

Posted Mar 13, 2026

Other
Applied Data Science - LATAM

Job description

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.

We’re looking for a Senior Applied Data Scientist ready to elevate their impact. In this role, you’ll lead analytical projects end‑to‑end, applying advanced techniques to distil complex challenges into clear, actionable insights for our clients. You’ll combine strong technical expertise with strategic thinking, guiding both the analytical direction of projects and the quality of insight delivery

As part of our senior team, you’ll investigate and implement advanced methodologies, mentor junior colleagues, and collaborate closely with clients and internal teams to ensure alignment, clarity, and value.

What you'll be doing:

Lead and execute analytical projects, applying advanced machine learning and analytical methodologies to solve complex client problems.
Investigate & implement the most appropriate analytical techniques for each project, re-use and enhance global solutions and code.
Deploy data science algorithms and market products on the designated tech stack, ensuring efficient and cost-effective delivery.
Build and maintain strong relationships with internal teams and clients, ensuring clear communication and alignment on project requirements.
Participate in external client meetings, helping explain methodologies, analytical approaches, and solution designs.
Lead, support and guide junior team members, enabling smooth execution of their projects while maintaining quality standards

What we expect from you

English language proficiency
Minimum 5 years of experience with programming and Data Science in work/business environment
Strong experience with SQL and Python programming, object oriented programming and Test driven development. Experience with PySpark is preferred
Experience in applying advanced statistical models or machine learning algorithms to solve a variety of complex problems
Advanced analytical skills, Insights Analysis, Data Visualization and Story telling. Experience with Power BI/Looker studio is a plus.
Ability to manage own projects, analytical work streams for client accounts, coordinate related projects with other team members and coach more juniors team members.
Experience working in retail analytics is a nice to have.

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, dh Enabled 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.

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)