Senior Data Science Engineer in London

Senior Data Science Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
All The Top Bananas

At a Glance

  • Tasks: Design and build innovative data science solutions using Python and collaborate with a passionate team.
  • Company: Join dunnhumby, a global leader in Customer Data Science, working with iconic brands.
  • Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
  • Other info: Thrive in an inclusive culture with excellent career growth and learning opportunities.
  • Why this job: Make a real impact by solving complex problems and driving innovation in data science.
  • Qualifications: Experience in Python, SQL, and machine learning techniques is essential.

The predicted salary is between 63000 - 77000 £ per year.

hackajob is partnering directly with Dunnhumby to hire 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.

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, Sci Py) is highly beneficial
Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
Proven experience implementing CI/CD and Dev Ops 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.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

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Senior Data Science Engineer in London employer: All The Top Bananas

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All The Top Bananas

Contact Details:

All The Top Bananas Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Science Engineer in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like All The Top Bananas!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Science Engineer at All The Top Bananas.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like All The Top Bananas.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Science Engineer at All The Top Bananas, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

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

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at All The Top Bananas, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at All The Top Bananas. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at All The Top Bananas

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at All The Top Bananas!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.