At a Glance
- Tasks: Create innovative data science solutions and build tools for global research.
- Company: Join dunnhumby, a leader in Customer Data Science with a diverse culture.
- Benefits: Flexible working hours, birthday off, and investment in cutting-edge technology.
- Why this job: Make a real impact in a dynamic environment while working with passionate experts.
- Qualifications: Experience in Python, SQL, and machine learning techniques is highly beneficial.
- Other info: Embrace diversity and inclusion in a supportive workplace that values your unique contributions.
The predicted salary is between 36000 - 60000 Β£ 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 β one of the world's most competitive markets, with a deluge of multi-dimensional data β 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.
Joining our Customer Data Science team, you'll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available to the business. You'll contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale.
What we expect from you:
- Experience building analytical Python solutions
- Experience working with relational databases, and SQL-like operations
- Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sciβkitβlearn, SciPy) is highly beneficial
- Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
- Understanding of Continuous Integration/Continuous Delivery (CI/CD) & DevOps processes, (and experience applying them within an Agile framework) would be useful
Responsibilities:
- Develop and support standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services
- Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches
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 β 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.
Global Diversity and Inclusion Questions:
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 wellbeing, and family.
Data Science Engineer in London employer: Dunnhumby
Contact Detail:
Dunnhumby Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Science Engineer in London
β¨Tip Number 1
Network like a pro! Reach out to current or former employees at dunnhumby on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
β¨Tip Number 2
Prepare for the interview by brushing up on your Python skills and machine learning techniques. Be ready to discuss how you've applied these in real-world scenarios β they love practical examples!
β¨Tip Number 3
Show your passion for customer data science! During interviews, share your thoughts on how data can transform customer experiences. This aligns perfectly with their mission of putting the customer first.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows youβre genuinely interested in joining the team.
We think you need these skills to ace Data Science Engineer in London
Some tips for your application π«‘
Show Your Passion for Data Science: When you're writing your application, let your enthusiasm for data science shine through! We want to see how you've engaged with the field, whether it's through projects, courses, or personal interests. Make it clear why you're excited about the role and how you can contribute to our mission.
Tailor Your CV and Cover Letter: Don't just send a generic CV and cover letter! Take the time to tailor them to the Data Science Engineer position. Highlight your experience with Python, SQL, and machine learning techniques that match what we're looking for. This shows us that you understand the role and are genuinely interested in joining our team.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where appropriate and avoid jargon unless it's relevant to the role. Remember, we want to get to know you, so make it easy for us!
Apply Through Our Website: Make sure to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it gives you a chance to explore more about dunnhumby and what we stand for. We can't wait to hear from you!
How to prepare for a job interview at Dunnhumby
β¨Know Your Data Science Stuff
Make sure you brush up on your analytical Python skills and machine learning techniques. Be ready to discuss how you've applied methods like regularised regression or clustering in past projects. This will show that you not only understand the theory but can also put it into practice.
β¨Get Familiar with Their Tools
Dunnhumby values experience with big data and tools like Hadoop or Spark. If you have any hands-on experience, be prepared to share specific examples of how you've used these technologies to solve complex problems. Itβll demonstrate your readiness to hit the ground running.
β¨Showcase Your CI/CD Knowledge
Understanding Continuous Integration and Continuous Delivery is key for this role. Be ready to explain how you've implemented CI/CD processes in an Agile environment. This will highlight your ability to contribute to their development practices effectively.
β¨Emphasise Your Customer-Centric Approach
Since dunnhumby puts the customer first, think about how your work has positively impacted customers in previous roles. Share stories that illustrate your commitment to understanding customer needs and how your data science solutions have driven value for them.