At a Glance
- Tasks: Transform complex data into actionable insights using advanced machine learning techniques.
- Company: Join dunnhumby, a global leader in Customer Data Science with iconic brands.
- Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- 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.
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) 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)
✨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 maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to 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 convey complex concepts to non-technical folks, so make it relatable and engaging.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Applied Data Scientist (12-month FTC)
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!
Communicate Clearly: Remember, you’ll need to explain complex concepts to non-technical audiences. Use clear language in your application to demonstrate your communication skills. We appreciate candidates who can bridge the gap between tech and business!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you started on this exciting journey with Dunnhumby!
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 meaningful insights.
✨Show Off Your Programming Skills
Since strong programming skills in Python and SQL are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. If you have experience with PySpark, don’t forget to mention it!
✨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 data-driven insights to stakeholders. This will highlight your strong communication skills and stakeholder management abilities.
✨Be Ready for Problem-Solving Questions
Expect to face some tricky problem-solving questions during the interview. Prepare by thinking through past challenges you've encountered and how you approached them. This will showcase your logical thinking and ability to tackle complex issues head-on.