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For Companies At a Glance
- Tasks: Transform complex data into actionable insights using advanced machine learning techniques.
- Company: Join Dunnhumby, a leader in Customer Data Science, working with iconic brands.
- Benefits: Enjoy flexible hours, your birthday off, and a comprehensive rewards package.
- Other info: Collaborative environment with a focus on diversity and personal growth.
- Why this job: Make a real impact by solving challenging problems for top retailers like Tesco.
- Qualifications: Degree in a quantitative field and strong programming skills in Python and SQL.
The predicted salary is between 50000 - 70000 ÂŁ per year.
Overview
hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. 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 worldwide working for transformative, iconic brands such as Tesco, Coca‑Cola, Nestlé, Unilever and Metro.
We’re looking for a Senior Applied Data Scientist to apply your expertise to turning complex problems into meaningful, actionable insights—combining cutting‑edge machine learning techniques with human creativity to deliver impactful solutions for our clients. At Dunnhumby, you’ll investigate, develop, implement, and deploy a range of sophisticated applications and components, working alongside exceptionally talented colleagues who challenge and rewrite the rules rather than simply following them. Our team works closely with Tesco to solve interesting and challenging problems in category management. We collaborate with client leadership and partners to build reusable and scalable solutions. This is a 12‑month Fixed‑Term Contract.
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 modeling 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
- Category management experience desirable but not essential
What You Can Expect From Us
You’ll enjoy a comprehensive rewards package and personal flexibility, including flexible working hours and your birthday off. We invest in cutting‑edge technology while maintaining a nimble, small‑business feel that gives you freedom to play, experiment, and learn. We are committed to diversity and inclusion, providing networks such as dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive.
Flexible Working
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. If flexible working is important, please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
Senior Applied Data Scientist (12-month FTC) in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Data Scientist (12-month FTC) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Dunnhumby. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, insights, and how you've tackled complex problems using data science. Let them see the real you and your passion for making an impact.
✨Tailor Your Approach
Every interaction is a chance to showcase why you're the perfect fit for the role. Research Dunnhumby and their clients, and be ready to discuss how your skills can help solve their specific challenges. Make it personal!
✨Apply Through Our Website
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 serious about joining the team at Dunnhumby.
We think you need these skills to ace Senior Applied Data Scientist (12-month FTC) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Applied Data Scientist role. Highlight your programming skills in Python and SQL, and any experience with PySpark. We want to see how your background aligns with the job description!
Showcase Your Projects: Include specific examples of projects where you've applied data science solutions to real client problems. We love seeing how you’ve turned complex issues into actionable insights, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about connecting technical work to customer outcomes. We want to know how you can deliver measurable impact for our clients at Dunnhumby.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at hackajob
✨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 in real-world scenarios, especially in relation to customer outcomes. This will show that you can connect technical work to tangible results.
✨Show Off Your Programming Skills
Since strong programming skills in Python and SQL are essential for this role, be prepared to talk about specific projects where you've used these languages. If you have experience with PySpark, definitely 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 data insights to stakeholders or clients, as this will demonstrate your ability to build trusted relationships.
✨Be Ready for Problem-Solving Questions
Expect to tackle some challenging problems during the interview. Prepare by thinking through past experiences where you faced tough analytical challenges and how you approached them. This will showcase your logical thinking and problem-solving abilities, which are crucial for the role.