Data Scientist & Engineer - London

Gail's
London
1 month ago
Applications closed

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ABOUT THE ROLE

  • Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ordering, production, rota scheduling, logistics and online services optimisation.
  • Extend functionality of our Bread GPT service (Large Language Model insight synthesis engine).
  • Data engineering: build and develop ETL processes in Microsoft Fabric to support reporting, insight and applied AI models
  • A hands-on role working with other staff and partners.
  • Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications.
  • Ensure the continuous development and delivery of solutions.
  • Monitor and evolve solutions.
  • Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
  • Develop effective working relationships with colleagues within and beyond the Technology team to ensure that a consistent, high-quality service is delivered.


ARE YOU THE MISSING INGREDIENT

  • Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field.
  • Minimum of 3+ years of experience within excellent knowledge of Python and preferably R.
  • Knowledge of ETL processes - ideally basic understanding of Microsoft ETL (Data Factory / Synapse / Fabric)
  • Knowledge of databases (SQL & NoSQL) and API development/integration.
  • Understanding of software development and application design.
  • Proven experience in building data science solutions and developing customised LLM applications.
  • Strong interest in technology.
  • Excellent problem-solving skills and attention to detail.
  • Knowledge of effective business analysis - ability to gather, document, and analyze business requirements effectively and the experience creating user stories, process flows, and wireframes.
  • Ability to work effectively in a fast-paced, dynamic environment.
  • Strong communication and collaboration skills.
  • "Can do" outlook and approach to work.
  • Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques.
  • Ability to prioritise issues according to business needs, and to escalate when necessary/appropriate, and problem solve


Preferred Qualifications:

  • Experience in manufacturing, retail or hospitality industries.
  • Knowledge of programming languages and frameworks.


BENEFITS BAKED IN

  • Free food and drink when working
  • 50% off food and drink when not working
  • 33 days holiday
  • Pension Scheme
  • Discounts and Savings from high-street retailers and restaurants
  • 24 hour GP service
  • Cycle to work scheme
  • Twice yearly pay review
  • Development programmes for you to RISE with GAIL's

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