At a Glance
- Tasks: Design and build innovative Python solutions for global data science projects.
- Company: Join Dunnhumby, a leader in Customer Data Science with a diverse and inclusive culture.
- Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
- Other info: Collaborate with passionate experts and enjoy excellent career growth opportunities.
- Why this job: Make a real impact by solving complex problems with cutting-edge technology.
- Qualifications: Experience in Python, SQL, and machine learning techniques is essential.
The predicted salary is between 60000 - 80000 € per year.
Overview: 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 employer: hackajob
Dunnhumby Ltd 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, a comprehensive rewards package, and opportunities for personal and professional growth, employees are empowered to balance their careers with their personal lives. The company fosters a collaborative environment where you can work alongside passionate experts while contributing to impactful projects for renowned global brands.
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 common interview questions related to data science and be ready to discuss your problem-solving approach. Mock interviews with friends can help you gain confidence.
✨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 make you a great fit for our team. Keep it engaging and relevant to the role.
Showcase Your Projects:If you've worked on any interesting data science projects, don’t forget to mention them! Whether it's a personal project or something from a previous job, showcasing your work can really help us see your capabilities in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. 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 technologies mentioned in the job description, especially Python and SQL. Brush up on your machine learning techniques and be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in previous roles. Be ready to explain your thought process and the tools you used, particularly in a big data context like Hadoop or Spark.
✨Demonstrate Collaboration and Mentorship
Dunnhumby values teamwork, so think of instances where you’ve collaborated with others or mentored junior team members. Highlight how you’ve contributed to raising engineering capabilities within your team.
✨Ask Insightful Questions
Prepare thoughtful questions about Dunnhumby’s approach to customer data science and their culture of diversity and inclusion. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.