At a Glance
- Tasks: Lead the development of complex data models and collaborate with top retailers.
- Company: Join dunnhumby, a leader in Customer Data Science with a focus on innovation.
- Benefits: Enjoy flexible hours, comprehensive rewards, and a culture of learning.
- Other info: Dynamic team environment with opportunities to redefine data science.
- Why this job: Make a real impact by transforming data into actionable insights for clients.
- Qualifications: Degree in a quantitative field and strong programming skills in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Company Overview
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.
Qualifications
- Degree in Statistics, Mathematics, Physics, Economics, or related quantitative field
- Strong programming skills – Python and SQL essential; PySpark highly advantageous
- Experience with version control tools such as Git
- Solid understanding of analytical technologies, tools, and techniques
- Excellent logical thinking and problem‑solving abilities
- Strong communication skills, able to explain complex concepts to non‑technical audiences
- Proven experience in statistical modelling and applying data science solutions to real client problems
- Passion for connecting technical work to real customer outcomes, delivering 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
Responsibilities
- Lead the ongoing implementation, support and development of complex models and applications
- Collaborate with Tesco and other client leadership teams to build re‑usable, scalable solutions that deliver measurable value
- Drive change and shape innovative solutions, actively redefining how organizations harness data
- Work alongside talented colleagues, challenging and rewriting the rules of data science
Benefits
dunnhumby offers comprehensive rewards, flexible working hours, and a culture that encourages innovation and learning.
Senior Applied Data Scientist in City of Westminster employer: dunnhumby
At dunnhumby, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive rewards, flexible working hours, and opportunities to lead impactful projects in the heart of retail analytics. Join us in shaping the future of Customer Data Science while working alongside talented colleagues who are passionate about delivering measurable value.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied Data Scientist in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like dunnhumby!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Applied Data Scientist at dunnhumby.
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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.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Applied Data Scientist at dunnhumby, 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 in City of Westminster
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, 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. 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
✨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!
✨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.
