Data Scientist

Hatfield, Hertfordshire, UK

Data Scientist | Ecommerce | Hybrid (3 Days WFH) | London/Hatfield

“We are on a mission: to transform the future of online grocery through cutting-edge technology innovation.”

Job Purpose

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 E-commerce - from recommending products to customers, to search optimisation and intelligent substitutions. Our data is stored in Google BigQuery, we work primarily in Python for machine learning and use frameworks such as Spark 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.

Role & Responsibilities:

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.

You may be asked to perform tasks as required by management deemed as a reasonable request. This job description is a summary of the typical functions of the role, not an exhaustive or comprehensive list of possible role responsibilities, tasks and duties and is subject to review. The responsibilities, tasks and duties of the job holder might differ from those outlined in the job description and other duties, as assigned, might form part of the job.

Knowledge, Skills and Experience

  • Degree in Mathematics, Statistics, or other quantitative sciences.
  • Experience building productionised machine learning models at scale with a preference for MVP and iteration.
  • Demonstrated computer programming ability including fluency in two or more of Python, Java (or equivalent), and SQL.
  • Experience conducting research and analysis on large data sets and providing rigorous interpretations of the results.
  • The ability to model complex problems mathematically and/or computationally
  • A solid understanding of key statistical concepts.

DESIRABLE COMPETENCIES

  • Portfolio of past work (applications, analysis, visualisations, blog posts, presentations etc.)
  • Successfully conducted research of significant scope – a Master degree or Ph.D. will be looked on favourably.
  • Experience working on recommendation systems
  • Experience with Google Cloud Platform.
  • Knowledge of common machine learning toolkits (e.g. Scikit-Learn).
  • Knowledge of deep learning frameworks (e.g. TensorFlow, Theano, Torch..).

BEHAVIOURAL COMPETENCIES

  • Craftsmanship – demonstrates breadth and depth of knowledge and skill; upholds quality and continuous improvement; can adapt the ideas of others; displays high levels of initiative.
  • Trust – demonstrates high levels of trust between individuals and teams; espouses respect, openness, honesty and knowledge sharing.
  • Collaboration – works well with others and actively contributes towards team/department/division objectives to enable high performance of own and fellow teams; displays the generosity to help others succeed at own expense.
  • Autonomy – accepts ownership of what they do; relishes empowerment to drive innovation; takes accountability and responsibility for their own actions.
  • Learn Fast – ability to learn fast through experimentation; understands that failing is acceptable; recognises the importance of learning from failure quickly, without attributing blame.
  • Leadership – proven ability to inspire, motivate and empower others; able to make tough decisions and handle difficult situations and face major challenges with positivity, confidence and pragmatism; adept communicator.

 

About Ocado Technology:

Ocado Technology is changing the way the world shops using advanced Artificial Intelligence, Machine Learning, Robotics, Big Data, Cloud and IoT. We develop the innovative software and hardware systems that power Ocado.com, as well as the unique ‘Ocado Smart Platform’ which is being implemented by ambitious retailers across the world from Europe to America, Asia and beyond. 

Find out more about how we are pioneering the future through serial technology innovation here

Our Values:

We champion a value-led culture to get our teams working at their very best and to help create a collaborative working environment with inspiring projects that our people love. Core values of Trust, Autonomy, Craftsmanship, Collaboration and Learn Fast help drive our innovative culture.  But do not just take our word for it, have a look at what our people are saying about us on Glassdoor

What we offer you:

Our employee benefits are designed for you, we care about people and we have ensured we have a wealth of benefits that focus on your well-being. We regularly review our benefits to ensure we are supporting our employees appropriately. Currently, we offer technically stretching work, a competitive salary and;

  • Hybrid working patterns meaning part of the working week can be spent working remotely (typically 3 days per week). However, your working pattern will depend upon your role/team).
  • 30 days ‘working 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.
  • Free shuttle bus to and from Hatfield Train Station to the Hatfield offices.
  • Opportunity to participate in ShareSave 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).

We also have regular divisional socials, sports clubs not to mention the Ocado Technology Academy for a packed schedule of courses, conferences and events. If you think you have what it takes to make a difference, please submit your application below.

Join our talent community!

Our Talent Community is a great way to stay up-to-date with our latest career opportunities, as well as news and relevant careers insights. Register today, and be the first to be notified when a role we think you would be perfect for becomes available.

Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.

We are thrilled to welcome applicants from across the world. Whilst we are able to offer visa sponsorship, please note that we are only able to cover costs relating to the Certificate of Sponsorship and the Immigration Skills Charge only. For all employment offers made for UK roles, it is expected that you will be based in the UK in commutable distance, ready for your first day of work, so please keep this in mind. If you have any questions, please do not hesitate to ask.

Due to the energising nature of Ocado's business, vacancy close dates, when stated, are indicative and may be subject to change so please apply as soon as possible to avoid disappointment. If you have applied and been rejected for this role in the last 6 months, or applied and been rejected for a role with a similar skill set, we will not re-evaluate you for this position. After 6 months, we will treat your application as a new one. All benefits information is subject to change and the terms of the individual arrangements. Please assume you have been unsuccessful if you have not heard from us within 4 weeks.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data BigQuery Deep Learning E-commerce Engineering GCP Google Cloud Machine Learning Mathematics ML models Python Research Robotics Scikit-learn Spark SQL Statistics TensorFlow Theano

Perks/benefits: Career development Competitive pay Conferences Equity Flex vacation Health care Medical leave Parental leave Team events

Region: Europe
Country: United Kingdom
Job stats:  20  5  0
Category: Data Science Jobs

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