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 opportunities for career growth.
- Other info: Collaborative environment with potential for contract extension.
- 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 in London 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 in London
✨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 not only demonstrate your technical prowess but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the technical grill! Brush up on your Python and SQL skills, and be ready to tackle some coding challenges. Practising common data science problems can help you feel more confident when it comes to those tricky interview questions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace Senior Data Science Consultant in London
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 practical experience in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. 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 prepared to explain your approach to building and maintaining these models, especially in a production environment. Highlight any specific optimisation techniques you've used and how they contributed to business decision-making.
✨Brush Up on Python and SQL
Since strong proficiency in Python and SQL is crucial for this role, ensure you're comfortable discussing your experience with these languages. You might be asked to solve a problem or write a query during the interview, so practice coding challenges beforehand to keep your skills sharp.
✨Understand the Aviation Sector
Familiarise yourself with the aviation industry, particularly in areas like network planning and scheduling. If you have experience with platforms like Amadeus or Sabre, be ready to share how you've used them in your previous roles. This will show your potential employer that you understand their specific needs.
✨Prepare for Stakeholder Collaboration
This role involves working closely with stakeholders to prioritise projects. Think of examples from your past where you've successfully collaborated with others to translate business requirements into technical solutions. Being able to demonstrate your communication skills and teamwork will set you apart.
