3880 IT & Software Developer jobs in the UK

Harnham - Data & Analytics Recruitment jobs

Lead Data Scientist, Optimization

£59,000 - 99,000
Harnham - Data & Analytics Recruitment
Wimbledon Hill Road 51, London
£59,000 - 99,000
Company Size icon
Company Size
200-500
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Strong experience building optimisation or simulation solutions in production environments - Background in operations research or mathematical optimisation - Experience working on logistics, supply chain or wider operational optimisation problems - Ability to translate real-world business issues into optimisation models - Strong Python skills for modelling and optimisation - Comfortable working collaboratively with operational stakeholders

Technologies

AI

Responsibilities

- Take end-to-end ownership of optimisation problem statements from discovery through to delivery - Build production-ready optimisation or simulation models using Python - Translate operational challenges into well-structured optimisation approaches - Develop solutions across areas such as logistics planning, resource allocation and supply chain optimisation - Work closely with business and operational teams to gather requirements and validate outputs - Provide clear technical recommendations to stakeholders on optimisation opportunities

Description


We are an international organisation with extensive operational and logistics networks across multiple business units. Our central AI and Data Science function is expanding to deliver practical optimisation solutions that improve performance and reduce disruptions. Our team partners closely with operational stakeholders to turn business challenges into deliverable optimisation models. Contractors play a key role in driving technical delivery and shaping solution design. This position is based in London with a hybrid working arrangement.
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