At a Glance
- Tasks: Design and build innovative data science solutions using Python and collaborate with a passionate team.
- Company: Dunnhumby, a global leader in Customer Data Science, working with top brands.
- Benefits: Flexible working hours, birthday off, and investment in cutting-edge technology.
- Other info: Join a dynamic team with opportunities for personal growth and career development.
- Why this job: Make a real impact on global products while enjoying a supportive and inclusive culture.
- Qualifications: Experience in Python, SQL, and machine learning techniques is essential.
The predicted salary is between 60000 - 80000 € per year.
hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. 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. Dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for brands such as Tesco, Coca-Cola, Nestlé, Unilever 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 designing and delivering production-grade 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, scikit-learn, SciPy) is highly beneficial
- Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
- Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards, and release processes
Responsibilities
- Design, build and own 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
- Translate stakeholder requirements into robust, production-ready solutions
- Collaborate cross-functionally and mentor junior team members to raise engineering capability and impact
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.
Senior Data Science Engineer in London employer: hackajob
Dunnhumby is an exceptional employer that champions a culture of innovation and inclusivity, making it an ideal place for a Senior Data Science Engineer to thrive. With a commitment to flexible working hours, comprehensive rewards, and a focus on personal growth, employees are empowered to balance their professional and personal lives while contributing to cutting-edge projects for renowned global brands. The collaborative environment fosters mentorship and continuous learning, ensuring that every team member can shine and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Dunnhumby on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and machine learning techniques. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 3
Showcase your passion for data science! During interviews, share your thoughts on recent trends in the industry or interesting projects you've worked on. This will help us see your enthusiasm and commitment to the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Dunnhumby. Let’s get you that interview!
We think you need these skills to ace Senior Data Science Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Science Engineer role. Highlight your experience with Python, SQL, and machine learning techniques. We want to see how your skills align with what Dunnhumby is looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to Dunnhumby's mission. Be genuine and let your personality come through.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical applications of your skills. Include links if possible!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills mentioned in the job description, especially Python and SQL. Brush up on machine learning techniques like regularised regression and tree-based ensembles, as these will likely come up during your interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using data science. Think about how you’ve designed production-grade solutions and be ready to explain your thought process and the impact of your work.
✨Understand Their Business
Research Dunnhumby and their clients, like Tesco and Coca-Cola. Understanding their approach to customer data science will help you tailor your answers and show that you’re genuinely interested in contributing to their mission.
✨Be Ready to Collaborate
Since the role involves cross-functional collaboration, think of examples where you’ve worked with others to achieve a goal. Highlight your mentoring experience too, as they value raising engineering capability within the team.