Senior Applied Data Scientist (12-month FTC)

Senior Applied Data Scientist (12-month FTC)

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join our data science team to develop impactful solutions using advanced machine learning techniques.
  • Company: dunnhumby, a global leader in Customer Data Science with a collaborative culture.
  • Benefits: Flexible working hours, birthday off, and a comprehensive rewards package.
  • Other info: Inclusive environment with opportunities for personal growth and career development.
  • Why this job: Make a real impact by turning complex data into actionable insights for iconic brands.
  • Qualifications: Degree in a quantitative field and strong programming skills in Python and SQL.

The predicted salary is between 36000 - 60000 £ per year.

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 who expects more from their career. This is an opportunity to apply your expertise to turn complex problems into meaningful, actionable insights—combining cutting‑edge machine learning techniques with human creativity to deliver impactful solutions for our clients. Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re‑usable and scalable.

Please note: this role is a 12‑month Fixed‑Term Contract.

Responsibilities

Joining our advanced data science team, you’ll investigate, develop, implement, and deploy a range of sophisticated applications and components, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.

What we expect from you

  • A degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field
  • Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous
  • Solid understanding of analytical technologies, tools, and techniques
  • Proven experience in statistical modelling and applying data science solutions to real client problems
  • A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact
  • Excellent logical thinking and problem‑solving abilities
  • Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences
  • Effective stakeholder management and the ability to build trusted relationships across teams

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.

Global Diversity and Inclusion

At dunnhumby, we utilise our diversity of thought as our competitive edge. We are proud of our diversity and committed to making dunnhumby an even more inclusive place to work that we can be proud of. Our diversity and inclusion work is designed to cultivate a culture of belonging, where every dunnhumbian feels safe to bring their whole self to work, where everyone is welcome and we practice what we preach. We have a full D&I strategy to implement this long‑term behaviour change; in addition, we have five employee‑led network groups to support colleagues in the areas of gender, sexual orientation, multiculturalism, mental health and wellbeing, and family.

Senior Applied Data Scientist (12-month FTC) employer: Dunnhumby

At dunnhumby, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our investment in cutting-edge technology and flexible working arrangements, allowing you to thrive both professionally and personally. With a strong focus on diversity and inclusion, we ensure that every team member has the opportunity to shine and contribute to transformative projects for iconic brands.

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Contact Details:

Dunnhumby Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Applied Data Scientist (12-month FTC)

Tip Number 1

Network like a pro! Reach out to current or former employees at dunnhumby on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!

Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, SQL, and any machine learning projects you've tackled. We want to see how you turn complex problems into actionable insights!

Tip Number 3

Show off your communication skills! Practice explaining your past projects in simple terms. Remember, you’ll need to connect with non-technical stakeholders, so being clear and concise is key.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at dunnhumby.

We think you need these skills to ace Senior Applied Data Scientist (12-month FTC)

Statistical Modelling
Data Science Solutions
Python
SQL
PySpark
Analytical Technologies
Problem-Solving Skills

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for data science shine through! We want to see how your passion connects with the role and how you can make a real impact on our clients.

Tailor Your CV:Make sure to customise your CV for this position. Highlight your experience with Python, SQL, and any relevant projects that showcase your problem-solving skills. We love seeing how your background aligns with what we do!

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain complex concepts, as we value strong communication skills. Remember, we want to understand your thought process without getting lost in jargon!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!

How to prepare for a job interview at Dunnhumby

Know Your Data Science Stuff

Make sure you brush up on your statistical modelling and machine learning techniques. Be ready to discuss how you've applied these skills to real-world problems, especially in a client-facing context. This will show that you can connect technical work to tangible outcomes.

Master Python and SQL

Since strong programming skills in Python and SQL are essential for this role, practice coding challenges and be prepared to demonstrate your proficiency. If you have experience with PySpark, don’t forget to highlight that too—it could give you an edge!

Communicate Clearly

You’ll need to explain complex concepts to non-technical audiences, so practice simplifying your explanations. Think of examples where you’ve successfully communicated intricate ideas to stakeholders or clients, as this will showcase your strong communication skills.

Build Relationships

Effective stakeholder management is key. Prepare examples of how you've built trusted relationships across teams in previous roles. This will demonstrate your ability to collaborate and work effectively within a team, which is crucial for success at dunnhumby.