Python Job: Junior Data Scientist - Ecommerce

Junior Data Scientist - Ecommerce | Hatfield | Hybrid (2 days office)

About us:

Data Science is responsible for designing cutting-edge machine learning and optimisation techniques to convert data into important business insights and solutions. We focus on machine learning and optimisation problems across Ocado’s ecommerce - from recommending products to customers, to search optimisation and intelligent substitutions. Our data is stored in GoogleBigQuery, we work primarily in Python for machine learning and use frameworks such as Apache Beam and TensorFlow. We are looking for someone with experience in developing and optimising data science products as we seek to improve the personalisation capabilities and their performance for our OSP platform.

About the role:

As a Data Scientist you will work closely with the team lead, management, other data scientists and software engineering teams to identify, scope, plan and manage projects, and effectively communicate complex technical issues and findings to a range of technical and non-technical internal audiences. You will work on projects in all the areas touched by data science, dealing with complex problems and having a real impact on the operational performance of the company. You will be given autonomy in how you approach these problems and will be encouraged to research and seek out innovative solutions. Communication is key; you will be in constant contact with business stakeholders and will need to work with developers both within the team and in other technology teams to ensure that your solutions are properly productionised and can be supported.

What we’re looking for

• Degree in Mathematics, Statistics, or other quantitative sciences. A Masters degree or Ph.D. will be looked on favourably

• Some experience of building productionised machine learning models

• Computer programming abilities including in Python, & SQL

• The ability to model problems mathematically and/or computationally

• A solid understanding of key statistical concepts

• Some knowledge of common machine learning toolkits (e.g. scikit-learn)

• Some knowledge of deep learning frameworks (e.g. TensorFlow, Theano, Torch..)

What do I get in return:

• Hybrid working model (2 days office)

• Remote working for the month of August +

• 30 days work from anywhere policy

• Wellbeing support through Apps such as Unmind and an Employee Assistance Programme

• 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)

• Pension scheme (various options available including employer contribution matching up to 7%)

• Private Medical Insurance

• 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)

• Train Ticket loan (interest-free)

• Cycle to Work Scheme

• Share options (4 year vest)

• Opportunity to participate in Share save and Buy as You Earn share schemes

• 15% discount on Ocado.com and free delivery for all employees

• Income Protection (can be up to 50% of salary for 3 years) and Life Assurance (3 x annual salary)

• Free shuttle bus to and from Hatfield Train Station to the Hatfield offices