At a Glance
- Tasks: Design and build innovative data science solutions using Python and advanced analytics.
- Company: Join dunnhumby, a global leader in Customer Data Science with a collaborative culture.
- Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
- Other info: Be part of a diverse team that values inclusion and personal growth.
- Why this job: Make a real impact by solving complex problems for iconic brands like Tesco and Coca-Cola.
- Qualifications: Experience in Python, SQL, and machine learning techniques is essential.
The predicted salary is between 60000 - 80000 £ per year.
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 for their customers. 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, 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, sci-kit-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.
Global Diversity and Inclusion:
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.
Senior Data Science Engineer employer: dunnhumby
Contact Detail:
dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at dunnhumby on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best data science projects, especially those using Python and machine learning techniques. This will help you stand out during interviews and showcase your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities before the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the dunnhumby team. Don’t miss out!
We think you need these skills to ace Senior Data Science Engineer
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 that match what we're looking for. This shows us you understand the job and have the skills we need.
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 your previous experiences align with our mission at dunnhumby. Keep it engaging and personal – we want to get to know you!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a GitHub repo or a case study, showing us your hands-on experience with data science solutions will definitely catch our eye.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're genuinely interested in joining our team at dunnhumby!
How to prepare for a job interview at dunnhumby
✨Know Your Tech Inside Out
Make sure you’re well-versed in the analytical Python solutions and machine learning techniques mentioned in the job description. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled using data science methods. Be ready to explain your thought process and the impact of your solutions, especially in a production-grade environment.
✨Collaboration is Key
Dunnhumby values teamwork, so think of instances where you've collaborated cross-functionally or mentored others. Highlight how you’ve contributed to team success and improved engineering capabilities.
✨Embrace Their Culture
Familiarise yourself with dunnhumby's commitment to diversity and inclusion. Be prepared to discuss how you can contribute to their inclusive culture and how you value work-life balance, as this aligns with their ethos.