Senior Optimisation Scientist

Role type: Full Time Permanent 

Location: UK West London Onsite 3 days a week

Preferred start date:  ASAP

LIFE AS A SATALIAN

As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP  company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues.

Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated.

THE ROLE:

As a Senior Optimisation Scientist, your role will be leading the design & development of algorithms and decision support tools for a variety of optimisation problems arising from different applications and industries. You will collaborate with clients to gather problem specifications. Your work will support clients’ goals and will contribute to the success of many household brands. You will support your peers by sharing your experience, providing mentorship and guidance.

YOUR RESPONSIBILITIES

·       Design and implement optimisation algorithms to solve our clients’ problems, in sectors such as transportation, logistics, or workforce scheduling. 

• Communicate and interact with clients. Deeply understand the client's domain, the nature of their challenges and what brings most value to them. Clearly articulate the most appropriate solution(s).

• Lead technical teams in a flat-hierarchical structure. Work collaboratively in an agile, interdisciplinary team on a common goal.

• Develop production-ready code and provide code reviews to your peers.

• Mentor, train and support other team members on Optimisation-related topics.

MINIMUM QUALIFICATIONS / SKILLS

·       Relevant PhD or Masters Degree with at least 10 years experience working on applied optimisation problems, at least 7 years in industry

• Proficient and highly experienced in at least one of the following optimisation approaches; Mixed Integer Programming or Metaheuristic approaches

• Proficient with structuring and implementing optimisation solutions

• Understanding of agile concepts and ability to work in agile teams.

• Experience in technical leadership and/or leading teams

• Excellent written and verbal communication skills in English 

• Reliability and accountability 

• A sense of community and a collaborative mindset

• Being able to provide constructive feedback and invested in the wellbeing of the team

NICE TO HAVE SKILLS 

·       Background in transportation and logistics would be an advantage / experience working on transport and/or logistics problems would be an advantage 

• Experience with Java or Rust preferred 

If you feel like you don’t tick all our boxes but know you’d make a fantastic Senior Optimisation Scientist at Satalia, please do apply! We know the value of transferable skills and experiences and would love to hear about these in your cover letter.

Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.

We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. Good luck!