Data Scientist Intern

Company Description

Depop is a community-driven fashion marketplace for buying and selling sustainable fashion, boasting over 30 million registered users across more than 150 countries. Depop is a platform where individuals can explore and express their style on their own terms, while also making conscientious fashion decisions by extending the lifespan of millions of clothing items.

Established in 2011, the company's headquarters are located in London, with additional offices in Manchester and New York. Depop employs around 400 individuals who are dedicated to realizing its mission of creating the world's most diversified, progressive fashion hub that is kinder to the planet and to people. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative products - but continues to operate as an independent company.

Depop is an equal-opportunity employer. Our objective is to create the world's most diversified, progressive fashion hub. To this end, we encourage individuals from underrepresented communities to apply. We celebrate diversity and are committed to fostering an inclusive environment for all employees. We continue to develop recruitment processes that are equitable and welcome requests for any reasonable adjustments needed throughout your interview experience with us. 

Job Description

Application Deadline: December 1st

Role:

Depop is seeking talented Data Science Interns to join our Applied ML team for a period of 12 weeks starting from March 2024. 

Our team, consisting of 17 Data Scientists and engineers, employs cutting-edge ML techniques and technology to enhance our understanding of ethical fashion, enrich our community, and improve user experiences. We're passionate about our work and invite you to join us in our endeavors.

As a Data Science intern at Depop, you’ll become part of one of our top-performing teams:

1. Search: Delve into the realm of search technologies, primarily Elasticsearch and Learning to Rank. Optimize our search algorithms to allow users effortless discovery of their ideal fashion items within our expansive marketplace.

2. Recommendations: Be part of the team crafting our popular daily recommendations that connect our community with items they will love. Utilize the power of data and machine learning to create personalized shopping experiences.

3. Trust and Safety: Play a crucial role in maintaining the security and trustworthiness of our platform. Develop models to identify prohibited items, fraudulent activities, and other trust and safety issues, ensuring that our users can shop and sell with confidence.

4. Sellers: Collaborate with our sellers’ team to automate the listing process, making it as smooth as possible. Develop solutions to streamline and enhance the experience for our esteemed sellers.

As an intern at Depop, you'll participate in a unique, highly individualized mentorship program within the Data Science team. You'll be able to learn directly from experienced professionals who will guide you through every aspect of your role. Our team is committed to promoting your growth, ensuring you gain practical experience, and providing personalized guidance to enhance your data science skills, enabling you to make a significant impact in the field.

Timelines:

Candidates must be available to start in a full-time capacity for 12 weeks starting early March 2024. Please clearly state your availability in your application, as preference will be given to candidates devoted to these start dates.

Applications will be reviewed in early December, and successful candidates will be invited for interviews throughout January and February 2024.

Responsibilities:

You will:

• Research, design and deliver machine learning solutions to address issues in the Applied ML field
• Keep abreast with the latest research for your internship project, with the opportunity to apply this within the product
• Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product roadmapping, etc)
• Report and present technical findings to both technical and non-technical audiences

Qualifications

Skills and experience

• Completion of a degree program in a quantitative field such as Computer Science, Mathematics, Statistics, Economics or similar disciplines, or a record of relevant industry experience
• Experience in at least one coding language
• Solid understanding of machine learning and data science concepts,
• Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders
• Passion for learning new skills and staying up-to-date with ML algorithms

Bonus points

• Experience with Python
• Familiarity working with common frameworks such as scikit-learn, TensorFlow, or

Additional Information

UK Benefits
Health + Mental Wellbeing

• Healthcare with Bupa - access to PMI and a cash plan with Bupa
• Subsidised counselling and coaching - we partner with Self Space to provide you with the opportunity for a constructive conversation with a qualified individual
• Cycle to Work scheme - choose between Evans or the Green Commute Initiative to help access a bike for your commute
• Employee Assistance Programme (EAP) - have access to a confidential support network of expert advice 24/7
• Mental Health First Aiders - we have a network of trained individuals spread across the business who offer support and signposting

Work/Life Balance

• 25 days annual leave pro-rated, with the option to carry over up to 5 days
• 1 company-wide day off per quarter, for you to take some time for yourself and decompress

Flexible Working
MyMode is our hybrid-working model, designed to empower our employees to choose a working mode that works for them. MyMode offers 3 working modes: Flex, Office Based and Remote.

• Flex: we would prefer you to visit your nearest Depop office once a week, but you are free to work from home the rest of the week.
• Office: If you prefer to work from the office more frequently, you can opt to be "Office-Based", with your own dedicated desk.
• Remote: depending on your role you can request to be a remote worker, and only visit the office 4 times per year.

All of our offices also welcome dogs! Do your best work alongside your best friend.

Family Life

Our parental leave policies aim to support and enable parents to play equal roles in nurturing their families, offering flexibility and true gender-neutrality. Our full-time regular employees are eligible for 18 weeks of paid parental leave for childbirth or adoption. We also offer IVF leave, shared parental leave, and paid emergency parent/carer leave.

Learn and Grow

• We offer budgets for conferences, learning subscriptions and more. We also sponsor and run a variety of programmes, conferences and meet-ups to enhance our employees’ skills and enrich their journey with us.

Your Future

• Life Insurance (financial compensation of 3x your )
• Pension (Depop will match your contribution up to 6% of your qualifying earnings)

Finally, as a valued employee of Depop we waive all fees when you sell on Depop, letting you ship your sold items anywhere in the UK for free.