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- Tasks: Design and build models that optimise real-world operational decisions.
- Company: Well-established organisation focused on impactful data science.
- Benefits: £700+ per day, hybrid work, and long-term contract opportunities.
- Other info: Collaborative team environment with a clear roadmap for growth.
- Why this job: Make a tangible impact on business performance and customer outcomes.
- Qualifications: Experience in data science and a passion for solving operational problems.
I'm currently looking for Data Scientists to join a highly capable, collaborative team working on real operational problems at serious scale within a well-established, commercially driven organisation. This is a role for someone who enjoys building things that actually run the business - not experiments that sit on a slide deck. You'll be working on post-optimisation, decision-making problems where the output of your models directly affects cost, performance, and customer outcomes every day.
Location Contract Rate: £700+ per day (Inside IR35, depending on experience) Contract: Rolling 6-month contracts, with a realistic 2-3 year roadmap of work Working pattern: Hybrid - 2-3 days per week onsite in West London / Paddington area and West Drayton Start: ASAP (subject to onboarding)
What the role is really about In this role, you won't be siloed away from the business. You'll be embedded alongside engineers and operational stakeholders, working on problems where data science is central to how decisions are made, not just how performance is reported.
- Design and build optimisation, predictive, and prescriptive models that support live operational decision-making
Data Scientist employer: Hays Specialist Recruitment Limited
Contact Detail:
Hays Specialist Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those that demonstrate real-world impact. This will help you stand out and give hiring managers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled operational challenges in the past and how your models have made a difference. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with optimisation and decision-making models, as well as any relevant projects that showcase your ability to solve real operational problems.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've used data science to drive business decisions and improve performance in previous roles.
Showcase Your Technical Skills: Don’t forget to list your technical skills clearly. Mention any programming languages, tools, or frameworks you’re proficient in that are relevant to operational optimisation and AI.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Know Your Models Inside Out
Make sure you can explain the optimisation, predictive, and prescriptive models you've worked on. Be ready to discuss how they impacted decision-making in previous roles. This shows you understand not just the theory but also the practical application of your work.
✨Showcase Collaboration Skills
Since this role involves working closely with engineers and operational stakeholders, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where your data science skills made a real difference.
✨Prepare for Real-World Scenarios
Expect to tackle case studies or hypothetical scenarios during the interview. Brush up on how you would approach solving operational problems using data science. This will demonstrate your ability to think critically and apply your knowledge in a business context.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's operational challenges and how data science fits into their strategy. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.