Applied Data Scientist - 12 months Contract
Applied Data Scientist - 12 months Contract

Applied Data Scientist - 12 months Contract

Full-Time 28800 - 43200 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to solve complex problems using data science and machine learning.
  • Company: dunnhumby is a global leader in Customer Data Science, helping businesses thrive.
  • Benefits: Enjoy flexible working hours, your birthday off, and cutting-edge technology.
  • Why this job: Make a real impact on customer experiences while collaborating with smart colleagues.
  • Qualifications: Degree in a relevant field and programming skills in Python and SQL required.
  • Other info: We prioritise diversity and inclusion, ensuring everyone can shine.

The predicted salary is between 28800 - 43200 £ 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 are looking for an Applied Data Scientist for a 12 month contract 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

  • Degree in Statistics, Maths, Physics, Economics or similar field
  • Programming skills (Python and SQL are a must have, Pyspark is recommended)
  • Analytical Techniques and Technology
  • Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
  • Logical thinking and problem solving
  • Strong communication skills
  • 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 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.

Applied Data Scientist - 12 months Contract employer: Job Traffic

At dunnhumby, we pride ourselves on being an exceptional employer that champions a culture of innovation and inclusivity. Our commitment to employee growth is reflected in our investment in cutting-edge technology and flexible working arrangements, allowing you to balance your career with personal commitments. Join us in London, where you'll collaborate with brilliant minds in a dynamic environment that not only values diversity but also empowers you to make a tangible impact on customer experiences.
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Contact Detail:

Job Traffic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Applied Data Scientist - 12 months Contract

✨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 programming skills, especially in Python and SQL. Being able to demonstrate your proficiency in these languages during technical discussions or assessments will significantly boost your chances of landing the role.

✨Tip Number 3

Prepare to discuss real-world applications of your data science knowledge. Think of specific examples where you've used statistical modelling or machine learning to solve problems, as this will resonate well with the team at dunnhumby.

✨Tip Number 4

Network with current or former employees of dunnhumby. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which you can leverage during your application process.

We think you need these skills to ace Applied Data Scientist - 12 months Contract

Degree in Statistics, Maths, Physics, Economics or similar field
Proficiency in Python programming
Proficiency in SQL
Experience with Pyspark (recommended)
Strong analytical techniques and technology skills
Ability to connect work to customer experience
Logical thinking and problem-solving skills
Strong communication skills
Statistical modelling expertise
Experience applying data science to client problems

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Python and SQL. Emphasise any projects or roles where you've applied analytical techniques to solve real-world problems.

Craft a Compelling Cover Letter: In your cover letter, express your passion for customer-centric data science. Mention specific examples of how your work has positively impacted customer experiences and how you can contribute to dunnhumby's mission.

Showcase Your Skills: Clearly outline your programming skills and any experience with machine learning or statistical modelling. If you have experience with Pyspark, make sure to include that as well, as it’s recommended for this role.

Prepare for Technical Questions: Be ready to discuss your problem-solving approach and analytical techniques during the interview. Think of examples where you've successfully tackled complex data challenges and be prepared to explain your thought process.

How to prepare for a job interview at Job Traffic

✨Showcase Your Technical Skills

Make sure to highlight your programming skills, especially in Python and SQL. Be prepared to discuss specific projects where you've applied these skills, as well as any experience with Pyspark, to demonstrate your technical proficiency.

✨Connect Data Science to Customer Experience

Dunnhumby values a customer-first approach, so be ready to explain how your work in data science has directly impacted customer experiences. Share examples of how you've used data to solve real-world problems for clients.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss your logical thinking and problem-solving strategies. You might be asked to tackle a hypothetical scenario during the interview, so practice articulating your thought process clearly and effectively.

✨Communicate Clearly and Confidently

Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you may need to convey your findings to non-technical stakeholders. Confidence in your delivery will make a positive impression.

Applied Data Scientist - 12 months Contract
Job Traffic
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