Data Scientist

Takeaway.com; Fleet; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A global online food delivery platform is seeking a Data Scientist to enhance machine learning applications for customer services and fraud prevention. The role involves leading projects, collaborating with teams, and applying statistical methods. Ideal candidates have experience in data science, fluency in Python and SQL, and are comfortable in an agile environment. This position offers a hybrid working model with 3 days in-office and 2 days remote.

Qualifications

• Experience in a Data Science or related field.
• Experience applying ML algorithms in production environments.
• Fluent in SQL and experience with cloud data stores.
• Fluency in Python with strong coding skills.
• Experience in agile teams with code reviews.
• Deliver clear data-driven insights.

Responsibilities

• Lead and deliver data science projects with measurable impact.
• Apply ML methodologies to solve business challenges.
• Consult on data and technical issues with stakeholders.
• Develop best practices for the data science community.
• Participate actively in the data science community.

Skills

Data Science

Statistical methodologies

Machine learning algorithms

Python

SQL

Collaboration with ML Engineers

Agile methodologies

Data-driven insights

Tools

BigQuery

Redshift

Cassandra

Airflow

AWS Step Functions

Job description

Overview

Ready for a challenge? Just Eat Takeaway.com is a leading global online food delivery platform. Our vision is to empower everyday convenience, connecting tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role

As Data Scientist you will be focussing on delivering new and improving existing machine learning applications for use by the customer services and fraud prevention function at Just Eat Takeaway.com. You will help improve our understanding of customer & partner behaviour, analyse fraudulent transactions and make recommendations that will fundamentally influence how we operate.

In this role, you will be collaborating with departments and functions across the whole company. You'll work on projects side by side with Data Scientists from other departments, other times you will collaborate directly with our business stakeholders - depending on what is needed to make a business impact. In this role you will also work with our ML engineering team to shape our Machine Learning platform, which enables us to perform advanced analytics in a streamlined manner across the company.

Location: Hybrid- 3 days a week from our London or Amsterdam office & 2 days working from home

Reporting to: Manager, Data Engineering (Customer service & fraud prevention)

These are some of the key components to the position:

• Lead and deliver data science projects from start to finish, working closely with stakeholders to ensure a measurable business impact
• Work hands on leveraging various ML methodologies to solve critical business challenges
• Identify improvement opportunities across the data science landscape, proactively advise the team on this and take action as needed to prevent and fix critical problems across our ML solutions with the wider team
• Consult with stakeholders on data and technical issues, providing guidance on technical implementation feasibility
• Develop guidelines, and best practices and drive adoption throughout the data science community
• Be an active participant in the community for all data scientists and data engineers

What will you bring to the team?

• Experience working in a Data Science or related quantitative field
• Experience applying statistical and machine learning algorithms to solve real-world problems in a scalable way in a production environment. E.g., forecasting, anomaly detection, classification, personalization, ranking, recommender systems, and dynamic pricing.
• Fluency in SQL and experience with cloud data stores (BigQuery, Redshift, Cassandra) with the ability to write efficient queries.
• Fluency in Python and able to confidently write elegant source code with minimal supervision
• Confident in partnering with ML Engineers, Data Engineers, and DevOps to resolve blockers and push the code to production
• Experience working in agile teams with feedback culture, code reviews, and version control
• Delivering data-driven insights and outcomes clearly and communicating effectively with people of varying levels of data literacy and technical knowledge
• Pipeline design and orchestration, with tools like Airflow, Google Cloud Build, AWS Step Functions or Argo, or generally full-stack model development would be beneficial but not essential
• Experience with functional programming, TDD or CI/CD is beneficial but not required

At JET, this is on the menu:

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.

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we 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.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now!