{"@context":"https:/schema.org/","@type":"JobPosting","title":"Senior Data Scientist

Ocado Group; Welwyn Garden City; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading online retail technology firm is seeking a Senior Data Scientist to work with various teams to develop machine learning solutions that enhance operational performance. The role demands strong analytical skills and a solid understanding of machine learning frameworks and data processing. Candidates should hold a relevant degree and have experience in robotics and cloud platforms. The position offers hybrid working arrangements and a comprehensive benefits package.

Benefits

Hybrid working (2 days in the office)

30 days work from anywhere globally

Share Options

25 days annual leave

Pension scheme with employer matching

Private Medical Insurance

Qualifications

• Experience with building productionised machine learning models.
• Knowledge of common machine learning toolkits like scikit-learn.
• Experience with analysis on large datasets.

Responsibilities

• Work closely with stakeholders to manage data science projects.
• Research and seek out innovative solutions for complex problems.
• Ensure solutions can be properly productionised and supported.

Skills

Machine learning model development

Data processing pipelines

Statistical analysis

Research and analysis

Mathematical modeling

Education

Degree in Mathematics, Statistics, or Computer Science

Master's degree or Ph.D. preferred

Tools

Python

Google Cloud Platform

TensorFlow

SQL

Apache Beam

Job description

Overview

As a Senior 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.

Ocado Technology is powering the future of online retail across the globe through disruptive innovation and automation. Join us to create world-class systems at the intersection of robotics and IoT, cloud platforms, big data, machine learning, software development, and beyond. 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 Automated Systems looking after our hives of over 10,000 robots to optimise their performance and reliability, from predictive maintenance with our vast array of sensor data to computer vision. Our data is stored in Google BigQuery, we work primarily in SQL for data processing, Python for machine learning and use frameworks such as Apache Beam and TensorFlow.

Responsibilities

• Experience building productionised machine learning models at scale with a preference for MVP and iteration.
• Knowledge of common machine learning toolkits (e.g. scikit-learn).
• Knowledge of deep learning frameworks (e.g. TensorFlow, Theano, Torch).
• Experience building data processing pipelines.
• 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.

Qualifications

• Degree in Mathematics, Statistics, Computer Science or other quantitative sciences.
• Or successfully conducted research of significant scope - a Master degree or Ph.D. will be looked on favourably.
• Portfolio of past work (applications, analysis, visualisations, blog posts, presentations etc.).
• Experience working in robotics, sensor data and time series analysis and computer vision.
• Experience with Google Cloud Platform.

Benefits

• Hybrid working (2 days in the office)
• 30 days work from anywhere globally
• Remote working for the month of August
• Share Options
• 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
• 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 Welwyn Garden City train station