At a Glance
- Tasks: Transform complex data into actionable insights using advanced machine learning techniques.
- Company: Join dunnhumby, a leader in Customer Data Science with a collaborative culture.
- Benefits: Competitive pay, flexible working hours, and your birthday off.
- Why this job: Make a real impact by solving challenging problems for iconic brands.
- Qualifications: Degree in a quantitative field and strong skills in Python and SQL.
- Other info: Inclusive culture with opportunities for personal growth and agile working.
The predicted salary is between 36000 - 60000 ÂŁ per year.
This role is for a Senior Applied Data Scientist on a 12-month FTC, offering competitive pay. Key skills include Python, SQL, and statistical modeling. A degree in a quantitative field is required, with category management experience preferred.
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.
We are 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.
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. Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space.
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
- Category management experience desirable but not essential
What you can expect from us:
You’ll enjoy the comprehensive rewards package you would expect from a leading technology company, along with personal flexibility you might not expect, thoughtful perks such as flexible working hours and your birthday off. You’ll benefit from an investment in cutting‑edge technology with a nimble, small‑business feel that gives you the freedom to play, experiment and learn.
We are committed to building an inclusive culture and have thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive. We want everyone to have the opportunity to shine and perform at their best throughout our recruitment process.
We value and respect differences and are committed to building an inclusive culture by creating an environment where you can balance a successful career with commitments and interests outside of work. Some roles lend themselves to flexible options more than others; if this is important to you, please raise it with the recruiter, as we are open to discussing agile working opportunities during the hiring process.
Senior Applied Data Scientist (12-month FTC) employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub 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 your connections in the data science field, especially those who work at dunnhumby or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and machine learning. This is your chance to demonstrate how you turn complex data into actionable insights—make it visually appealing and easy to understand.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Expect to tackle real-world scenarios that require statistical modelling and analytical thinking. Practice explaining your thought process clearly, as communication is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Applied Data Scientist (12-month FTC)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and SQL right from the start. We want to see how you’ve used these tools in real-world scenarios, so don’t hold back on sharing specific examples!
Connect the Dots: When you’re writing about your experience, link your technical work to real customer outcomes. We love seeing how your data science solutions have made a tangible impact, so be clear about the results you achieved.
Keep It Clear and Concise: Remember, we’re looking for strong communication skills! Make sure your application is easy to read and free of jargon. Explain complex concepts in a way that anyone can understand—this will show us you can bridge the gap between tech and non-tech audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy and straightforward—just follow the prompts!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in statistical modelling or data science solutions. This will show that you can connect technical work to real customer outcomes.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Think about situations where you applied machine learning techniques or analytical tools to deliver impactful solutions. This will demonstrate your logical thinking and problem-solving abilities.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You might be asked to present your ideas to non-technical stakeholders, so being able to break down your work into digestible pieces is crucial. This will highlight your strong communication skills.
✨Build Rapport with Stakeholders
Think about how you've managed relationships with clients or team members in the past. Be prepared to discuss your approach to stakeholder management and how you build trust across teams. This is key for a role that involves collaboration with client leadership.