Lead Optimisation Data Scientist
Posted Today by Harnham - Data & Analytics Recruitment
Negotiable
Undetermined
Hybrid
London
Summary: The Lead Optimisation Data Scientist role in London offers an opportunity to tackle significant optimisation challenges within a complex operational environment. The position involves working with a central Data and AI team to develop practical optimisation solutions that enhance decision-making and efficiency across the organisation. Candidates will take ownership of optimisation projects from inception to delivery, utilizing Python to build production-ready models. This role is crucial for driving technical delivery and shaping solution design in collaboration with operational stakeholders.
Key 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.
Key Skills:
- 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.
Salary (Rate): £900 Daily
City: London
Country: United Kingdom
Working Arrangements: Hybrid
IR35 Status: Undetermined
Seniority Level: Undetermined
Industry: IT
Lead Optimisation Data Scientist London, Hybrid£600 - £900 per day This is an exciting opportunity to take on high-impact optimisation challenges within a large and complex operational environment. You will be joining a central Data and AI team that is solving real operational problems at scale, with your work directly influencing critical decision making and efficiency across the organisation. The Company They are an international organisation with extensive operational and logistics networks across multiple business units. Their central AI and Data Science function is expanding to deliver practical optimisation solutions that improve performance and reduce disruptions. The 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. The Role and Deliverables 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. Your Skills and Experience 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. How to Apply If this freelance opportunity sounds like the right fit, apply today to discuss the project in more detail.