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For Companies At a Glance
- Tasks: Lead the design of algorithms to solve optimisation problems across various industries.
- Company: Join Satalia, a WPP company, pushing the boundaries of AI and data science.
- Benefits: Flexible working, competitive salary, and a focus on wellbeing and inclusivity.
- Why this job: Make a real impact by solving complex problems for household brands.
- Qualifications: PhD or Masters with 10 years experience in applied optimisation.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
The predicted salary is between 48000 - 72000 £ per year.
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!
Senior Optimisation Scientist employer: Satalia (NPComplete)
Contact Detail:
Satalia (NPComplete) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Optimisation Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Satalia on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Satalia's projects and values. Show us that you understand our mission and how your skills can contribute to solving complex optimisation problems.
✨Tip Number 3
Practice articulating your past experiences in a way that highlights your problem-solving skills. We want to hear about specific challenges you've tackled and how you’ve led teams to success.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Optimisation Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Optimisation Scientist role. Highlight your relevant experience in optimisation problems and any specific skills that match the job description. We want to see how you can bring value to our team!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Whether it’s Mixed Integer Programming or Metaheuristic approaches, let us know how you’ve applied these in real-world scenarios. We love seeing practical examples of your work.
Communicate Clearly: Since excellent communication is key for this role, ensure your written application is clear and concise. Use straightforward language to articulate your thoughts and experiences. Remember, we’re looking for someone who can clearly convey complex ideas!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our community at Satalia!
How to prepare for a job interview at Satalia (NPComplete)
✨Know Your Algorithms
As a Senior Optimisation Scientist, you'll need to showcase your expertise in optimisation algorithms. Brush up on Mixed Integer Programming and Metaheuristic approaches, and be ready to discuss how you've applied these in real-world scenarios. Prepare examples that highlight your problem-solving skills and the impact of your work.
✨Understand the Client's Needs
Satalia values a deep understanding of client challenges. Before your interview, research common issues in sectors like transportation and logistics. Think about how you can articulate solutions that align with their goals. This will demonstrate your ability to communicate effectively and tailor your approach to meet client expectations.
✨Showcase Your Leadership Skills
With a focus on technical leadership, be prepared to discuss your experience leading teams in an agile environment. Share specific examples of how you've mentored colleagues or led projects. Highlight your collaborative mindset and how you foster a sense of community within your team.
✨Emphasise Your Communication Skills
Excellent communication is key for this role. Practice articulating complex concepts clearly and concisely. Be ready to explain your thought process during problem-solving and how you provide constructive feedback. This will show that you can effectively interact with clients and collaborate with your peers.