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- Tasks: Transform complex data into actionable insights using advanced machine learning techniques.
- Company: Join dunnhumby, a global leader in Customer Data Science with iconic clients.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with talented colleagues tackling exciting challenges.
- Why this job: Make a real impact by redefining how organisations use data to drive change.
- Qualifications: Degree in a quantitative field and strong programming skills in Python and SQL.
The predicted salary is between 60000 - 80000 £ 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 distil complex problems into meaningful, actionable insights - leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.
Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them. 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, scalable and deliver measurable value. You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data.
What we expect from you:
- Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field
- Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous
- Experience with version control tools (e.g. GIT)
- Solid understanding of analytical technologies, tools, and techniques
Senior Applied Data Scientist employer: dunnhumby
Contact Detail:
dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at dunnhumby on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects that highlight your expertise in Python, SQL, and machine learning. This will help you stand out during interviews and showcase your problem-solving abilities.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and algorithms. Use platforms like LeetCode or HackerRank to sharpen your abilities and boost your confidence.
✨Tip Number 4
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 the dunnhumby team and making an impact.
We think you need these skills to ace Senior Applied Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Applied Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in data science. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at dunnhumby. Be sure to mention any specific experiences that relate to working with clients or solving complex problems.
Showcase Your Projects: If you've worked on interesting data science projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your work. This gives us a better idea of your coding style and problem-solving approach.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at dunnhumby
✨Know Your Data Science Stuff
Make sure you brush up on your statistics, machine learning techniques, and programming skills in Python and SQL. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Dunnhumby is all about distilling complex problems into actionable insights. Prepare examples of how you've tackled tough data challenges in the past, focusing on your thought process and the impact of your solutions.
✨Familiarise Yourself with Their Clients
Research dunnhumby's key clients like Tesco and Coca-Cola. Understanding their business models and challenges will help you tailor your answers and demonstrate your interest in how you can contribute to their success.
✨Be Ready for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practise common data science problems and be prepared to explain your reasoning clearly. This will show that you not only know the answers but can also communicate your thought process effectively.