Data Science Team Leader in Chertsey

Data Science Team Leader in Chertsey

Chertsey Full-Time 80000 - 100000 € / year (est.) No home office possible
Just Eat Takeaway.com

At a Glance

  • Tasks: Lead a team of Data Scientists to enhance delivery time predictions and drive business impact.
  • Company: Join Just Eat Takeaway.com, a global leader in online food delivery.
  • Benefits: Enjoy a competitive salary, flexible working, and a vibrant team culture.
  • Other info: Dynamic work environment with a focus on inclusion and personal growth.
  • Why this job: Make a real difference in logistics while working with cutting-edge data science technologies.
  • Qualifications: Master's or PhD in Data Science, with leadership experience and machine learning expertise.

The predicted salary is between 80000 - 100000 € per year.

Hungry for a challenge? That's good, because at Just Eat Takeaway.com (JET) we have abundant opportunity, 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? To empower every food moment around the world, whether it's through customer service, coding or couriers.

As the Senior Team Lead for Data Science - Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations.

This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team. Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions.

Location: Berlin, London or Amsterdam office with 3 days in the office and 2 days working from home

Reporting to: Data Science Manager

The Key Ingredients of the role

  • Strategic Leadership & Outcome Ownership (Approx. 75%)
  • Team Leadership & People Management: Lead, manage, and scale a high-performing team of Data Scientists through mentorship, coaching, and performance management. Foster a collaborative and results-driven team culture.
  • Drive Strategic Solutions: Own the team's contribution to defining logistics estimation solutions, ensuring direct alignment with critical company objectives and the broader business strategy. You will champion data science innovation ideas and partner closely with Product Management (PM) to ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team.
  • Drive Business Impact: Take ownership of key logistics KPIs, particularly overall ETA accuracy across the customer journey. Guide the team's focus on the highest-value initiatives and ensure data science moves in a data-driven direction.
  • Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models.
  • Strategic Planning: Translate RCA findings into concrete, actionable plans and conceptual designs for incorporating new features or models to mitigate these business-driven inaccuracies.
  • Stakeholder Communication: Act as the primary interface between the Data Science team and the wider audience (Product, Operations, Engineering).

Technical Guidance & Conceptual Design (Approx. 25%)

  • Conceptual Model Design: Focus on the conceptual design and validation strategy for new predictive features and models.
  • Technical Guidance & Review: Serve as the senior technical expert, guiding architectural decisions for prediction models and maintaining high standards through rigorous design discussions and model reviews.
  • MLE Partnership: Partner closely with Machine Learning Engineers (MLEs), who own the deployment and scaling processes, to transition robust model designs and thoroughly documented algorithmic logic for production implementation.
  • Insight Generation: Guide the team in deep-dive analysis of large-scale geospatial and real-time data to translate findings into actionable modeling recommendations.

What You'll Bring to the Table

  • A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
  • Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists.
  • Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment.
  • Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems.
  • Demonstrated experience in root-cause analysis of complex production model performance issues.
  • Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring.
  • Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders.

At JET, this is how we play. Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice.

At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again.

Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition.

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.

Are you ready to join the team? Apply now!

Data Science Team Leader in Chertsey employer: Just Eat Takeaway.com

At Just Eat Takeaway.com, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our Berlin, London, and Amsterdam offices offer a collaborative environment where Data Science Team Leaders can thrive, with ample opportunities for professional growth and mentorship. We celebrate diversity and encourage innovative thinking, ensuring that every team member feels valued and empowered to make a meaningful impact in the global food delivery landscape.

Just Eat Takeaway.com

Contact Detail:

Just Eat Takeaway.com Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Team Leader in Chertsey

Tip Number 1

Network like a pro! Reach out to current employees at Just Eat Takeaway.com on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.

Tip Number 2

Prepare for the interview by diving deep into their mission and values. Show how your experience aligns with their goals, especially around logistics and data science solutions.

Tip Number 3

Practice your storytelling skills! Be ready to share specific examples of how you've led teams and tackled challenges in data science. Make it relatable and engaging.

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 serious about joining the team!

We think you need these skills to ace Data Science Team Leader in Chertsey

Leadership
Team Management
Data Science
Machine Learning
Predictive Modelling
Root Cause Analysis
Stakeholder Communication

Some tips for your application 🫡

Show Your Passion:When you're writing your application, let your enthusiasm for data science and logistics shine through. We want to see how hungry you are for a challenge and how you can contribute to our mission of empowering every food moment!

Tailor Your Experience:Make sure to highlight your relevant experience in model development and team leadership. We love seeing how your past roles align with the strategic leadership and technical guidance we’re looking for in this position.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your achievements and how they relate to the role. Remember, we appreciate clarity just as much as complexity!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Just Eat Takeaway.com

Know Your Data Science Stuff

Make sure you brush up on your data science and machine learning knowledge, especially around ETA prediction and logistics. Be ready to discuss your past experiences with model development and deployment, as this will show your technical expertise.

Showcase Your Leadership Skills

As a Data Science Team Leader, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on how you foster collaboration and drive results.

Communicate Clearly

Practice translating complex data insights into simple, actionable business recommendations. You’ll need to communicate effectively with both technical and non-technical stakeholders, so think about how you can make your points clear and engaging.

Prepare for Strategic Discussions

Be ready to discuss how you would align data science solutions with business objectives. Think about potential challenges in logistics estimations and how you would approach root cause analysis to improve ETA accuracy.