Senior Data Science Engineer in London
Senior Data Science Engineer

Senior Data Science Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build innovative Python solutions for data science challenges.
  • Company: Join dunnhumby, a global leader in Customer Data Science.
  • Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
  • Other info: Thrive in an inclusive culture with excellent career growth opportunities.
  • Why this job: Make a real impact with cutting-edge technology and collaborate with passionate experts.
  • 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.

Senior Data Science Engineer in London employer: dunnhumby

At dunnhumby, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our talented team of data science experts. With a commitment to employee growth, we provide comprehensive rewards, flexible working options, and a strong focus on diversity and inclusion, ensuring that every individual has the opportunity to thrive in their career while enjoying a healthy work-life balance.
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Contact Detail:

dunnhumby Recruiting Team

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.

We think you need these skills to ace Senior Data Science Engineer in London

Analytical Python Solutions
Relational Databases
SQL
Machine Learning Techniques
Regularised Regression
Clustering
Tree-Based Ensembles
Pandas
scikit-learn
SciPy
Big Data Processing
Hadoop
Spark
CI/CD Practices
DevOps

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. We want to see how your skills align with our needs!

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 our team. Be sure to mention any relevant projects or experiences that showcase your expertise.

Showcase Your Projects: If you've worked on any standout projects, especially those involving big data or CI/CD practices, make sure to include them in your application. We love seeing real-world applications of your skills, so don't hold back!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it's super easy!

How to prepare for a job interview at dunnhumby

✨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 the past. Be ready to explain your thought process and the tools you used, particularly in a big data environment like Hadoop or Spark. This will demonstrate your ability to think critically and innovate.

✨Collaboration is Key

Dunnhumby values teamwork, so be prepared to discuss how you've collaborated with others in previous roles. Highlight any mentoring experiences you’ve had, as this shows your willingness to uplift junior team members and contribute to a positive team culture.

✨Ask Insightful Questions

At the end of the interview, don’t shy away from asking questions. Inquire about their current projects, the team dynamics, or how they implement CI/CD practices. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.

Senior Data Science Engineer in London
dunnhumby
Location: London

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