Data Scientist

At Ocado Technology, we craft products tailored to meet the unique needs of our partners worldwide. From e-commerce software and automated warehouse solutions to robotics and optimized delivery, we're reshaping the online grocery space and beyond through innovation. 

In Poland, we are a local team of technologists with a global scale. In the hearts of Wrocław and Kraków, we have gathered over 700 tech wizards - and let them do their magic.

ABOUT STREAM / DEPARTMENT: WHERE ARE WE LOOKING FOR?

We are a team of data scientists responsible for the machine learning algorithms within the Logistics & Supply Chain area of Ocado Technology. These algorithms are crucial to ensuring that OSP’s partners are able to run their operations efficiently, covering areas such as demand forecasting, drive time predictions and supplier reliability. We particularly focus on developing state of the art deep learning approaches to these problems.

We own the full machine learning life cycle, which means we both research new algorithmic approaches but also implement and support these in production. For this role we are looking for an individual who has a strong background in machine learning who is also able to write production-quality code, following ML development best practices. Once in the team you can expect to work closely with other team members on both new and established machine learning projects. We are split between London and Kraków, with the line manager for this role being based in London.

TECH STACK: THE TOOLS WE USE

ROLE ITSELF: WHAT WILL YOU DO?

• Improving our existing model architectures and adapting them to new challenges and geographies
• Designing and building new data pipelines to feed more information into our models
• Supporting our models in production and rolling them out to new retailers
• Working with product to develop new applications for machine learning in our stream
• Working with engineering to design the interfaces between our models and the rest of OSP
• Communicating results to internal and external stakeholders
• Ensuring our work follows ML development best practices
• Staying up to date with the latest machine learning research and looking for opportunities where it can be applied

Key skills and experience:

• Strong programming skills in Python
• Good knowledge of SQL
• Familiarity with Tensorflow, Keras or similar deep learning frameworks
• Familiarity with modern software development processes such as design documentation, code reviews, CI/CD, testing and project management
• A good comprehension of fundamental machine learning concepts
• Able to document and explain technical concepts for a non-technical audience
• A degree specialising in machine learning, or equivalent experience in a commercial setting
• Prior experience working within an engineering team, whether in a previous role or an internship

What will make you stand out:

• Experience working in Google Cloud Platform
• Knowledge of time series modelling techniques, particularly transformers
• Experience with geospatial data and modelling techniques

BENEFITS: WHAT’S IN IT FOR YOU?

Work and life should fit together, so we offer a range of benefits focusing on well-being, development, and team spirit. The final package will depend on the contract type we agree on.

• Standard benefits: life insurance, private health care [Luxmed], Multisport card, lunch vouchers, company share programs, and assistance for everyday worries and serious health problems.
• Learning opportunities: access to the Learnebly platform and LinkedIn Learning, English classes, and a book library, 
• Parental support: additional +10 days maternity / +20 days paternity leave, funding for nurseries and kindergartens
• Hybrid model: 2 days/week in the office and flexibility to work from almost any location for up to 30 days a year.
• Office perks: centrally located offices with car and cycling parking, and home office equipment provided.
• Career growth: a clear career path with opportunities to rotate between projects, teams, domains and roles under the guidance of highly skilled senior colleagues 
• High engineering culture: unique software engineering culture with a high level of test coverage and agile environment [read about our tech stack and engineering
  practices across Ocado Technology]
• Speaker community: public speaking training and support for preparing presentations at conferences or meetups, including our own Ocado Technology Meetups
• Passions groups: running, cycling and more 
• Annual celebrations: carnival, summer parties, family picnics, or kid’s days.

At Ocado Technology, we're always exploring, learning, and implementing new initiatives, and we're eager to share stories, insights, and experiences with you. Meet our team members during meetups [Watch recordings here]