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- Tasks: Develop advanced AI models and analytics to drive business impact.
- Company: Leading airline solutions provider with a focus on innovation.
- Benefits: Competitive daily rate, hybrid working, and potential for international travel.
- Why this job: Join a dynamic team and make a real difference in the aviation industry.
- Qualifications: Proficient in Python, ML frameworks, and strong analytical skills required.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 50000 - 84000 £ per year.
12-Month contract – Inside IR35 – up to £630 per day
Heathrow based – hybrid working – 3 days a week on site – possible international travel in the later stages of the project
Role Purpose
The Data Scientist will develop advanced models and analytics to unlock value from operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise in AI/ML and a strong ability to translate insights into business impact.
Key Responsibilities
- Design and implement predictive and prescriptive models for MRO AI Solutions.
- Perform exploratory data analysis and feature engineering.
- Collaborate with Data Engineers to ensure data readiness for modeling.
- Communicate findings and recommendations to business stakeholders.
- Continuously improve models based on feedback and operational performance.
- Develop models and analytics that can be generalized and adapted for different OpCos without extensive rework.
Required Skills & Experience
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Strong statistical and analytical skills.
- Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.).
- Demonstrated ability to take models from design through to production deployment, including performance optimization, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages.
- Familiarity with airline operations or supply chain analytics is desirable.
- Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
- Initial co-location with teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.
Preferred Consulting-Level Competencies
- Ability to frame complex problems and deliver actionable solutions.
- Strong presentation and storytelling skills for executive audiences.
- Experience in high-impact consulting or transformation projects.
- Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one.
- Experience in building reusable AI components and frameworks for enterprise-scale deployments.
Data Scientist - AI Solutions in London employer: Advanced Resource Managers
Contact Detail:
Advanced Resource Managers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving AI/ML. Share your work on platforms like GitHub or even your own website to demonstrate your expertise and attract potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to build confidence and refine your storytelling skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist - AI Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, ML frameworks, and any relevant projects that showcase your skills in AI/ML. We want to see how you can bring value to our team!
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 your background aligns with our needs. Don’t forget to mention your experience in consultancy-level roles and how you can translate insights into business impact.
Showcase Your Projects: Include links to any projects or portfolios that demonstrate your data science skills. Whether it's GitHub repos or case studies, we love seeing practical examples of your work and how you've tackled complex problems in the past.
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 team at StudySmarter!
How to prepare for a job interview at Advanced Resource Managers
✨Know Your Models Inside Out
Make sure you can discuss the predictive and prescriptive models you've worked on in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and ability to translate complex concepts into business value.
✨Brush Up on Your Python Skills
Since proficiency in Python and ML frameworks is key for this role, ensure you're comfortable coding on the spot. Practice common algorithms and be prepared to solve a problem using Python during the interview. This will demonstrate your technical prowess and readiness for the job.
✨Showcase Your Collaboration Skills
Highlight your experience working with Data Engineers and other stakeholders. Prepare examples of how you've successfully collaborated in the past to ensure data readiness and model deployment. This will illustrate your ability to integrate quickly into new teams and deliver immediate value.
✨Prepare for Storytelling
Since strong presentation skills are crucial, think about how you can effectively communicate your findings and recommendations. Practice telling a compelling story around your data insights that resonates with executive audiences. This will help you stand out as someone who can drive stakeholder satisfaction from day one.
