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Data scientist & engineer

London
Gails
Data scientist
Posted: 13 March
Offer description

Job Description

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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