At a Glance
- Tasks: Develop and enhance data science models for critical business decisions in aviation.
- Company: Join a leading FTSE 100 company with a focus on innovation.
- Benefits: Competitive salary, flexible working, and potential for contract extension.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in the aviation sector using cutting-edge data science techniques.
- Qualifications: Experience in data science, Python, SQL, and optimisation techniques required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (3 days per week on-site)
Contract: Initial 3 months (strong likelihood of extension)
We are supporting a client within the aviation sector who is seeking a Senior Data Science Consultant to contribute to the development and enhancement of modelling and optimisation capabilities. This is a technically focused role centred on building, maintaining, and improving a suite of models that support core business decision-making. The work will involve a combination of machine learning and optimisation, with a strong emphasis on delivering practical, production-ready solutions.
Key Responsibilities
- Develop, enhance, and maintain data science models used in business-critical decision-making
- Work across a mix of machine learning approaches and optimisation algorithms
- Translate business requirements into scalable, robust technical solutions
- Collaborate with stakeholders to prioritise what should be built and when
- Improve performance and reliability of existing models and modelling frameworks
- Contribute to shaping a forward roadmap for modelling and decision science capabilities
Requirements
- Proven experience in applied data science within a commercial environment
- Strong proficiency in Python and SQL
- Experience working with optimisation techniques or decision science models
- Track record of building and maintaining production-level models
- Ability to operate in a hands-on, technical capacity while contributing to prioritisation and planning
- Comfortable working in evolving or imperfect data environments
- Experience within the airline or aviation sector
- Exposure to network planning, scheduling, or route optimisation
- Background working with or alongside platforms such as Amadeus, Sabre, OAG, PROS, or Accelya
Senior Data Science Consultant employer: Xpertise Recruitment
Join a leading FTSE 100 company in the heart of London, where innovation meets opportunity. As a Senior Data Science Consultant, you will thrive in a collaborative work culture that values technical expertise and encourages professional growth. With a strong focus on employee development and a commitment to delivering impactful solutions in the aviation sector, this role offers a unique chance to shape the future of decision science while enjoying the vibrant atmosphere of one of the world's most dynamic cities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Consultant
✨Tip Number 1
Network like a pro! Reach out to folks in the aviation sector or data science community. LinkedIn is your best mate here – connect, engage, and don’t be shy to ask for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and optimisation. This will give potential employers a taste of what you can do and how you can contribute to their decision-making processes.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and optimisation techniques. Practise explaining complex concepts in simple terms – it’ll show you can communicate effectively with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s get you that Senior Data Science Consultant role!
We think you need these skills to ace Senior Data Science Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Science Consultant role. Highlight your experience with Python, SQL, and any optimisation techniques you've used. We want to see how your skills align with our needs in the aviation sector!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our modelling and optimisation capabilities. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build and maintain production-level models. We’re keen to see your hands-on experience in action!
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. Plus, it’s super easy!
How to prepare for a job interview at Xpertise Recruitment
✨Know Your Models Inside Out
Make sure you can discuss the data science models you've worked on in detail. Be ready to explain how you developed, enhanced, and maintained them, especially in a commercial setting. This will show your technical expertise and your ability to contribute to business-critical decision-making.
✨Brush Up on Python and SQL
Since strong proficiency in Python and SQL is a must for this role, ensure you're comfortable discussing your experience with these languages. Prepare to share specific examples of how you've used them to build production-level models or solve complex problems.
✨Understand Optimisation Techniques
Familiarise yourself with various optimisation algorithms and decision science models. Be prepared to discuss how you've applied these techniques in previous roles, particularly in the aviation sector, as this will demonstrate your relevant experience and understanding of the industry.
✨Engage with Stakeholders
Highlight your experience collaborating with stakeholders to prioritise projects. Think of examples where you translated business requirements into technical solutions. This will showcase your ability to work effectively in a team and your understanding of the importance of aligning technical work with business goals.
