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 a collaborative culture.
- Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
- Other info: Be part of a diverse team that values inclusion and personal growth.
- Why this job: Make a real impact by solving challenging problems for iconic brands like Tesco and Coca-Cola.
- 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
- Excellent logical thinking and problem‑solving abilities
- Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences
- 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
- Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment
- Background in retail analytics (especially exposure to Category Management) is advantageous
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, along with personal flexibility you might not expect, thoughtful perks such as flexible working hours and your birthday off. You’ll also benefit from an investment in cutting‑edge technology that reflects our global ambition, while maintaining 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.
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 well‑being, and family.
Senior Applied Data Scientist New London employer: Dunnhumby Ventures
At dunnhumby, we pride ourselves on being a leading employer in the field of Customer Data Science, offering a dynamic work environment in New London 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 balance your career with personal commitments. With a strong focus on diversity and inclusion, we create a culture where every team member can thrive and contribute to impactful solutions for iconic brands.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied Data Scientist New London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dunnhumby Ventures.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Applied Data Scientist New London at Dunnhumby Ventures, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Applied Data Scientist New London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dunnhumby Ventures, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dunnhumby Ventures. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dunnhumby Ventures
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dunnhumby Ventures!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.