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For Companies At a Glance
- Tasks: Join our team to solve complex problems and deliver impactful data-driven solutions.
- Company: dunnhumby is a global leader in Customer Data Science, empowering businesses to thrive.
- Benefits: Enjoy flexible working hours, your birthday off, and cutting-edge technology.
- Why this job: Be part of a diverse culture that values creativity and makes a real impact on customer experiences.
- Qualifications: 3-5 years experience in data science, with skills in Python, SQL, and statistical modelling.
- Other info: We prioritise work/life balance and offer agile working opportunities.
The predicted salary is between 28800 - 48000 £ per year.
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.
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, Meijer, Procter & Gamble and Metro.
We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.
What we expect from you
- 3 to 5 years of experience required
- Degree in Statistics, Maths, Physics, Economics or similar field
- Programming skills (Python and SQL are a must have)
- Analytical Techniques and Technology
- Logical thinking and problem solving
- Strong communication skills
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
- Statistical Modelling and experience of applying data science into client problems.
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. But also, a degree of personal flexibility you might not expect.Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with 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.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found(here)
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Applied Data Scientist employer: Kinetic Investments
Contact Detail:
Kinetic Investments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist
✨Tip Number 1
Familiarise yourself with dunnhumby's mission and values. Understanding their focus on customer-centric data science will help you align your discussions during interviews, showcasing how your skills can contribute to their goals.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are essential for the role. Consider working on personal projects or contributing to open-source initiatives that demonstrate your programming capabilities and problem-solving skills.
✨Tip Number 3
Prepare to discuss specific examples of how you've applied statistical modelling and data science techniques to real-world problems. This will help you illustrate your experience and passion for making a tangible impact on customer experiences.
✨Tip Number 4
Network with current or former employees of dunnhumby on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your interview process.
We think you need these skills to ace Applied Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Applied Data Scientist position at dunnhumby. Familiarise yourself with their mission and how your skills can contribute to their goals.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, programming (especially Python and SQL), and any statistical modelling work you've done. Make sure to showcase your analytical skills and problem-solving abilities.
Craft a Compelling Cover Letter: Write a cover letter that connects your experience directly to the customer-centric approach of dunnhumby. Use specific examples to demonstrate how your work has made a tangible impact on customer experiences in previous roles.
Showcase Your Communication Skills: In both your CV and cover letter, emphasise your strong communication skills. Provide examples of how you've effectively communicated complex data insights to non-technical stakeholders, as this is crucial for the role.
How to prepare for a job interview at Kinetic Investments
✨Showcase Your Technical Skills
As an Applied Data Scientist, you'll need to demonstrate your programming skills in Python and SQL. Be prepared to discuss specific projects where you've used these languages to solve complex problems, and consider bringing examples of your work to showcase your expertise.
✨Connect Data Science to Customer Experience
Dunnhumby places a strong emphasis on the customer experience. During the interview, highlight how your data science work has directly impacted customer outcomes. Share stories that illustrate your passion for using data to drive meaningful change for clients.
✨Prepare for Problem-Solving Questions
Expect to face logical thinking and problem-solving questions during your interview. Practice articulating your thought process clearly and concisely, as this will demonstrate your analytical techniques and ability to tackle complex challenges effectively.
✨Emphasise Communication Skills
Strong communication skills are crucial for this role. Be ready to explain technical concepts in a way that non-technical stakeholders can understand. Consider preparing examples of how you've successfully communicated insights or findings to diverse audiences in the past.
