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For Companies At a Glance
- Tasks: Lead advanced analytics solutions for diverse clients in manufacturing, retail, and logistics.
- Company: Join a dynamic team focused on innovative optimization strategies across EMEA.
- Benefits: Enjoy a permanent role with opportunities for professional growth and impactful projects.
- Why this job: Work on challenging projects that integrate AI and optimization, making a real business impact.
- Qualifications: Advanced degree in a technical field and hands-on experience with optimization tools required.
- Other info: Opportunity to manage a team and develop strong client relationships.
The predicted salary is between 43200 - 72000 £ per year.
Mathematical Optimisation Director – UK / Europe
Job ID:
A12-091908
Job Type:
Permanent
Sector:
Banking
Location:
London
Region:
London
Mathematical Optimisation Director
UK or Europe
An opportunity to lead the delivery of advanced analytics-based solutions to manufacturing, retail, supply chain and logistics companies across the EMEA region.
The Role
- Work with a diverse set of clients across multiple sectors including manufacturing, retail, transportation, logistics and supply chain.
- Work on a diverse set of projects from workforce scheduling to robotics in warehousing.
- Lead and manage the delivery of successful solutions where success is measured by the business impact and adoption, not complexity and the ability to string buzz words together.
- Work with problems and projects that are challenging and require a multi-dimensional approach.
- Work with solutions that integrate Optimisation with Machine Learning/AI.
- Work to high standards, paying attention to detail and providing highly professional project management support.
- Lead the EMEA General Optimisation function.
- Management and development of the General Optimisation Team.
- Help grow the portfolio of SCM, manufacturing and retail customers by participating in the sales process as required and ensuring subsequent projects are delivered successfully against measurable criteria.
- Thought leadership and the ability to envisage innovative solutions that leverage analytics and optimization capabilities across the supply chain.
- Create roadmaps with clients for complex multiphase projects.
- Develop customer relationships that deliver innovative solutions and foster true partnership with shared successes, understanding, identifying and proactively managing to mitigate overall project risk.
Candidate Background
- Experience in the design, development, deployment and management of optimisation solutions, ideally via implementing mathematical and optimisation models, and custom optimisation solutions.
- Hands-on experience of the use of optimisation modelling and solver technologies, such as Xpress Optimization; Gurobi; IBM CPLEX/DOC, or end user optimisation tools such as: Optimization Modeler; SAS Marketing Optimization; Experian Marketswitch; GAMS; Risk Solver.
- Hands-on experience with Mathematical Optimization modelling languages, such as Mosel, OPL, AMPL, AIMMS, etc., or Python or R Mathematical Optimization packages.
- Working knowledge of virtualised and cloud architectures and concepts (Virtualisation, Containers, HA, AWS, Azure, SoftLayer, etc.), and related delivery models such as IaaS, PaaS, and SaaS.
- Some experience or knowledge of software development in a general language is desired (e.g., C/C++, Java, Python, Scala, JavaScript, etc.).
- Advanced degree in Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or related technical discipline.
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Mathematical Optimisation Director - UK / Europe employer: Aspire Data Recruitment
Contact Detail:
Aspire Data Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mathematical Optimisation Director - UK / Europe
✨Tip Number 1
Make sure to showcase your experience with optimization solutions and mathematical modeling in your conversations. Highlight specific projects where you've successfully implemented these solutions, as this will resonate well with our focus on business impact.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning and AI integration within optimization. Being able to discuss innovative solutions that leverage these technologies will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the banking and logistics sectors. Building relationships can provide insights into industry challenges and help you understand how our solutions can address them, which is crucial for the role.
✨Tip Number 4
Prepare to discuss your project management skills and how you've led teams in delivering successful optimization projects. We value attention to detail and professionalism, so be ready to share examples of how you've managed risks and ensured project success.
We think you need these skills to ace Mathematical Optimisation Director - UK / Europe
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Mathematical Optimisation Director position. Tailor your application to highlight relevant experiences in advanced analytics, optimisation solutions, and project management.
Highlight Relevant Experience: Emphasize your hands-on experience with optimisation modelling and solver technologies. Mention specific tools and languages you have worked with, such as Xpress Optimization, Gurobi, Python, or R, to demonstrate your technical expertise.
Showcase Leadership Skills: Since the role involves leading a team, include examples of your leadership experience. Discuss how you've managed teams, delivered successful projects, and fostered client relationships in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also conveys your passion for mathematical optimisation and analytics. Use this opportunity to express your vision for innovative solutions in the supply chain and logistics sectors.
How to prepare for a job interview at Aspire Data Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with optimization modeling and solver technologies. Highlight specific projects where you've implemented mathematical models and the impact they had on business outcomes.
✨Demonstrate Leadership Skills
Since this role involves leading a team, share examples of how you've successfully managed teams in the past. Discuss your approach to project management and how you ensure high standards and attention to detail.
✨Emphasize Problem-Solving Abilities
Prepare to talk about complex problems you've solved using a multi-dimensional approach. Use specific examples that illustrate your analytical thinking and innovative solutions in various sectors like manufacturing or logistics.
✨Build Rapport with Interviewers
Establish a connection with your interviewers by discussing your understanding of their business challenges. Show that you can foster true partnerships and are proactive in managing project risks, which is crucial for client relationships.
