Data Scientist in Harrow

Data Scientist in Harrow

Harrow Full-Time 30000 - 50000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join our team to build ML and AI solutions that enhance customer experiences.
  • Company: Just Eat Takeaway.com, a leading global online food delivery marketplace.
  • Benefits: Inclusive culture, career growth opportunities, and the chance to work with cutting-edge technology.
  • Other info: Collaborate with diverse teams in a dynamic environment focused on your development.
  • Why this job: Make a real impact on millions of users while innovating with Generative AI.
  • Qualifications: Hands-on data science experience and strong skills in Python and SQL.

The predicted salary is between 30000 - 50000 £ per year.

Hungry for a challenge? That’s good, because at Just Eat Takeaway.com (JET) we believe everything is possible, or as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission is to empower every food moment around the world, whether it’s through customer service, coding or couriers.

Join our Customer Data Science (CDS) team and build the engine that powers our customer experience. You won’t just tweak existing models; you will deploy ML and AI solutions that shape how millions of users discover our apps. Backed by a state-of-the-art ML platform and some of the richest datasets in the industry, this is your chance to move beyond proof-of-concepts and see your work drive real-world impact.

Responsibilities

  • Impact at Scale: Your algorithms will solve complex ranking and search problems, instantly affecting the user journey for millions of customers.
  • Cutting-Edge Tech: Pioneer the integration of Generative AI, Large Language Models, and real-time features into our foundation models and search and recommendation engines.
  • Autonomy: We trust you to lead well-defined assignments independently, owning projects from conception to production.
  • Growth Culture: Work alongside highly skilled colleagues in an ambitious, diverse team that prioritizes your development and career progression.
  • Build & Deploy: Take a hands-on role in exploring data and building training pipelines to ensure models are scalable, robust, and solve real business problems.
  • Innovate with GenAI: Apply Generative AI approaches to create hyper-personalized experiences in our apps.
  • Drive Decisions: Partner with stakeholders to transform business needs into actionable methodologies, using your evaluations to influence product strategy.
  • Engineer for Success: Collaborate with Data and ML Engineers to enhance pipelines and apply MLOps best practices across the model lifecycle.

What will you bring to the table?

  • The Experience: Hands-on data science experience with a track record of building ML/AI solutions that drive quantifiable business value.
  • Strong Foundations: A solid grasp of data mining, feature engineering, modeling, and evaluation specifically within the search and recommendations domain.
  • The GenAI Edge: Practical experience applying Large Language Models (LLMs) and Vector Search techniques (e.g., semantic retrieval, embeddings).
  • Evidence-Driven: The ability to design and evaluate both ML models and LLMs in offline and online experiments.
  • The Toolkit: Fluent in Python with the ability to write clean, testable code that integrates seamlessly with engineering workflows.
  • SQL Mastery: Expert navigation of complex data warehouses (BigQuery) to wrangle huge datasets without hand-holding.
  • The Mindset: An analytical problem solver who values simplicity, brings clarity to ambiguous questions, and communicates complex insights effectively to any audience.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Take a look at our career site to learn more about our JETers, culture or company, with people’s stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!

Data Scientist in Harrow employer: wherewework Bulgaria

At Just Eat Takeaway.com, we are not just a leading global online food delivery marketplace; we are a vibrant community that thrives on innovation and collaboration. As a Data Scientist in our Customer Data Science team, you will enjoy a culture that prioritises your growth and autonomy, working with cutting-edge technology to make a real impact on millions of users. With a commitment to inclusion and diversity, we ensure that every employee feels valued and empowered to bring their unique perspectives to the table.

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Contact Details:

wherewework Bulgaria Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Harrow

Tip Number 1

Network like a pro! Reach out to current or former employees at Just Eat Takeaway.com on LinkedIn. 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 showcasing your data science projects, especially those involving ML and AI. This will help you stand out during interviews and demonstrate your hands-on experience.

Tip Number 3

Practice makes perfect! Brush up on your coding skills in Python and SQL. You might be asked to solve problems on the spot, so being sharp will definitely work in your favour.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the JET family.

We think you need these skills to ace Data Scientist in Harrow

Machine Learning (ML)
Artificial Intelligence (AI)
Data Mining
Feature Engineering
Modeling and Evaluation
Generative AI
Large Language Models (LLMs)

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for data science shine through! We want to see how excited you are about using ML and AI to make a real impact. Share specific examples of projects you've worked on that relate to the role.

Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your experience with data mining, feature engineering, and any work with Large Language Models. We love seeing how your skills align with what we’re looking for!

Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your experience and achievements. We appreciate clarity, especially when it comes to complex topics like algorithms and data models.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you can explore more about our culture and values while you’re there!

How to prepare for a job interview at wherewework Bulgaria

Know Your Algorithms

Brush up on your understanding of algorithms, especially those related to ranking and search problems. Be ready to discuss how you've applied machine learning and AI solutions in past projects, and think about specific examples that demonstrate your impact.

Showcase Your GenAI Experience

Since the role involves Generative AI and Large Language Models, prepare to talk about your hands-on experience with these technologies. Have examples ready that illustrate how you've used them to create hyper-personalised experiences or solve complex problems.

Master the Data

Familiarise yourself with SQL and data warehousing concepts, particularly BigQuery. Be prepared to discuss how you've navigated complex datasets in previous roles and how you can leverage this skill to drive decisions at Just Eat Takeaway.com.

Communicate Clearly

Practice explaining complex data science concepts in simple terms. The ability to communicate insights effectively is crucial, so think about how you can convey your analytical problem-solving skills to a non-technical audience during the interview.