At a Glance
- Tasks: Lead data-driven projects to enhance engineering and maintenance operations at Jet2.
- Company: Join Jet2, a leading airline redefining travel experiences for millions.
- Benefits: Enjoy hybrid working, annual pay reviews, and a generous profit share scheme.
- Why this job: Be part of an innovative team driving significant value through data science in aviation.
- Qualifications: Experience in data science, strong Python skills, and a statistical background are essential.
- Other info: Opportunities for professional development and industry events await you!
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a Senior Data Scientist to join our Jet2 Data Science team, specifically to work with our Airline Engineering team based at Leeds Bradford International Airport. Our Senior Data Scientist will be responsible for the delivery of key initiatives capable of realising significant value, combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. This exciting new role focuses on driving innovation within our engineering and maintenance operations, playing a critical role in executing our engineering data and analytics strategy.
You will join an established and growing team of Data Science professionals and be based within Engineering Technologies, who are leveraging the use of data-driven insights and innovative technologies to optimise our Engineering & Maintenance operations. As our Senior Data Scientist, you will have access to a wide range of benefits including:
- Hybrid working (we're in the office 2 days per week)
- Annual pay reviews
- Access to a generous discretionary profit share scheme
What you will be doing:
You will be expected to work with cross-functional teams to identify areas where Data Science techniques can add significant value, collaborating with and enthusing our stakeholders. You will:
- Be embedded within the Engineering Technologies team, identifying and assessing opportunities for data-driven improvements in safety, efficiency, and cost management.
- Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations.
- Take responsibility for delivering initiatives, adopt our Data Science ways of working, be able to break down initiatives into measurable tasks, and report progress and issues blocking progress.
- Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy.
- Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from that in our operations.
- Be committed to your personal and professional development, staying up to date with the latest trends and technologies in data science and engineering analytics.
- Demonstrate awareness of and adherence to the appropriate regulatory and internal policy requirements.
What you will have:
You will have demonstrable experience in delivering data science initiatives, from rapid prototyping to show proof of value through into production, and can detail experience in data preprocessing, feature engineering, and model evaluation. You will have demonstrable application of realising operational value in a regulated industry which would be highly preferable. You will be highly numerate with a statistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You will have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with exposure to Snowflake desirable, and the ability to create clear data visualisations essential. Experience with Palantir Foundry and its applications is desired but not essential. Familiarity with cloud platforms available for data science and storage would also be desirable. You will appreciate the importance of data governance and how to assess and enhance data quality. You will preferably be knowledgeable or be interested in aerospace/airline engineering and maintenance principles, but not required. You will show commitment to keeping your knowledge up to date through self-learning, and be supported with opportunities to complete courses, attend industry events, and obtain technical certifications.
Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
Senior Data Scientist (Engineering Technologies) employer: Jet2.com
Contact Detail:
Jet2.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Engineering Technologies)
✨Tip Number 1
Familiarise yourself with the specific data science techniques mentioned in the job description, such as predictive analytics and natural language processing. Being able to discuss these methods confidently during your interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 2
Research Jet2's current engineering and maintenance operations. Understanding their existing processes and challenges will allow you to propose relevant data-driven improvements, showcasing your proactive approach and alignment with their goals.
✨Tip Number 3
Network with professionals in the aerospace and airline engineering sectors. Engaging with industry experts can provide insights into the latest trends and technologies, which you can reference in your discussions with the hiring team.
✨Tip Number 4
Prepare to articulate your past experiences in delivering data science initiatives, particularly in regulated industries. Be ready to share specific examples of how your work has added operational value, as this will resonate well with the interviewers.
We think you need these skills to ace Senior Data Scientist (Engineering Technologies)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in areas like predictive analytics and data preprocessing. Use specific examples that demonstrate your ability to deliver data-driven improvements.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the responsibilities outlined in the job description, especially your experience with Python and SQL.
Showcase Your Projects: If you have worked on relevant projects, include them in your application. Detail your role, the technologies used, and the outcomes achieved. This will help illustrate your hands-on experience and problem-solving abilities.
Highlight Continuous Learning: Mention any recent courses, certifications, or industry events you've attended related to data science and engineering analytics. This shows your commitment to professional development and staying current in the field.
How to prepare for a job interview at Jet2.com
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any ML frameworks you've used. Highlight specific projects where you applied these skills, especially in a regulated industry, as this will resonate well with the interviewers.
✨Demonstrate Your Problem-Solving Ability
Think of examples where you've identified data-driven improvements in previous roles. Be ready to explain how you approached these challenges, the methodologies you used, and the impact your solutions had on the business.
✨Communicate Effectively
Since storytelling is crucial for this role, practice explaining complex data science concepts in simple terms. Prepare to discuss how you would present your findings to stakeholders and recommend actionable insights.
✨Stay Updated on Industry Trends
Show your commitment to personal and professional development by discussing recent trends or technologies in data science and engineering analytics. Mention any courses or certifications you're pursuing to stay ahead in the field.