Closed | Full time, London

Lead Data Scientist

Posted: 26/11/24 | Deadline: 01/12/24

Company Description

We’re building the UK’s first intelligent food redistribution platform and are looking for passionate problem solvers to join our journey.

  • ⭐️BBC Food Innovation awardees
  • 💰Recipients of InnovateUK grants
  • 💪Partnership with Nestle UK (and others)
  • 📈Working with +200 food manufacturers

40% of food that is produced never makes it to a supermarket shelf, and gets lost along the supply chain. We exist to stop this. Our mission is to transform the way surplus food is managed; leveraging cutting-edge technology, we are building a circular economy through increased transparency and intelligent reallocation. Working in partnership with some of the largest food manufacturers in the UK.

Job details

  • 📍 Location: Hybrid, Mayfair office 2 days a week
  • 🕕 Job Type: Full-time or Fixed Contract
  • 🎓 Experience: 5+ years

Application process (you will NOT be considered if you only apply through LinkedIn)

Email the below two things to dini@thewonkicollective.com

  1. 60 second video (eg Loom), highlighting relevant experience and why this role excites you (this does NOT need to be edited or perfect in any way)
  2. Your full CV

Interviews

1st stage – Initial screening interview

2nd stage – Technical interview

3rd stage – Cultural fit (preference to be in person)

Join our team as one of the first 5 employees > what you’ll be up to

–           Turn data into action 🔑Develop predictive models to forecast surplus ingredients, byproducts, and finished goods based on ERP data, incorporating uncertainty estimation.

–           Design processes that matter 💻: Automate the process of detecting surplus and creating real-time listings on a marketplace, triggering buyer notifications based on product suitability.

–        Mastermind flawless integrations 🤝Build integrations to gather granular data from food manufacturers’ ERP systems, which track the flow of goods from raw ingredients to finished products.

–           Build optimised decision making 🎯: Build an optimization model (e.g., Mixed Integer Programming) to allocate surplus ingredients to different types of buyers, optimizing for objectives like minimizing waste, carbon footprint, or cost.

You’ll be a rockstar fit if you are

–           A Strategic Operator 🧠– You love to think big picture as much as you love to get your hands dirty, doing the doing

–           A Natural Problem Solver 💬 – You’re great at turning data and user feedback into brilliant and usable models

–           Thrive with the Startup Hustle 🔥– You’re agile, can think on your feet and work best in a fast-paced, ever changing environment

–           Speak tech, talk people 👩‍💻– you can make even the most complicated technical solutions seem simple

–           Own Your Work 💛 – You thrive with autonomy, taking full ownership of your projects, and delivering work that drives real impact

The profile we’re looking for

Data Science Expertise:

  • Experience with probabilistic modelling and time-series forecasting and proficiency in building prediction models with uncertainty estimation.

Engineering & Development:

  • Rapid prototyping and use of no-code solutions where needed
  • Proficiency in backend systems and API development, with a focus on ERP system integrations.
  • Experience building scalable platforms and marketplaces.
  • Familiarity with modern tech stacks (e.g., Python, SQL, cloud platforms).

Optimization & Decision Modelling:

  • Experience with Mixed Integer Programming (MIP) and other decision-making algorithms.
  • Knowledge of supply chain optimization 

Benefits

  • Equity package
  • Flexible holidays
  • Work from abroad (1 month)
  • Enhance maternity / paternity packages
  • Flexible working hours
  • Family friendly benefits