At a Glance
- Tasks: Lead a team to deliver innovative data science solutions that drive business performance.
- Company: Join Jet2, a leading travel company focused on customer experience.
- Benefits: Enjoy hybrid working, generous holidays, and exclusive travel discounts.
- Other info: Dynamic environment with opportunities for professional growth and continuous learning.
- Why this job: Shape the future of data science while making a real impact in travel.
- Qualifications: Experience in data science, strong skills in Python and SQL, and leadership abilities.
The predicted salary is between 60000 - 80000 £ per year.
As our new Lead Data Scientist, you'll play a key role in shaping and delivering Jet2's Data Science strategy, helping us unlock the value of our data to drive business performance, innovation and customer experience. Based at Holiday House in Leeds City Centre, this is a hybrid role, giving you the flexibility to work from home and the office.
As our Lead Data Scientist, you'll have access to a wide range of benefits including:
- Access to a generous discretionary Profit Share Scheme
- Hybrid working (we're in the office 2 days per week)
- 26 days holiday, plus Bank Holidays
- Colleague discounts on Jet2.com flights and Jet2holidays packages
- Many retail discounts on travel and leisure, health and wellbeing, eating out, shopping and lifestyle
- Access to Mental Health First Aiders
- Annual pay reviews
At Jet2.com and Jet2holidays, we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people.
What you'll be doing:
Reporting to the Data Science Manager, our Lead Data Scientist will be responsible for leading a team of Data Scientists and delivering innovative data science solutions that drive commercial value across the Jet2 business. You'll work closely with stakeholders from across the organisation to identify opportunities where data science can enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges.
You'll also:
- Lead, coach and develop a team of Data Scientists, supporting their technical and professional growth
- Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting
- Develop, deploy and monitor machine learning models and analytical solutions in a production environment
- Communicate complex analytical findings clearly and confidently to both technical and non-technical stakeholders
- Identify opportunities to improve data quality, governance and the efficient use of data across its lifecycle
- Collaborate with teams across Jet2.com and Jet2holidays to maximise the value delivered through data and analytics
- Help shape the future direction of Data Science within Jet2 by keeping abreast of emerging technologies, tools and methodologies
What you'll have:
The successful candidate will have significant experience delivering data science projects within a commercial environment and a proven track record of creating value through machine learning and advanced analytics. You'll also have:
- A strong statistical or highly numerate academic background
- Advanced skills in Python and SQL
- Experience developing, deploying and maintaining predictive and machine learning models in production environments
- Experience leading and mentoring Data Scientists within a high-performing team
- Strong stakeholder management skills with the ability to influence and engage colleagues at all levels
- Experience working within Agile delivery frameworks and contributing to sprint planning and project delivery
- An appreciation of data governance principles and data quality management
- The ability to present complex information through clear and compelling data visualisations, ideally using Tableau
- Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake, would be highly desirable
- A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices
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.
Lead Data Scientist in Leeds employer: All The Top Bananas
My Four Wheels is an exceptional employer, offering a rewarding career as a Trainee Driving Instructor with flexible working hours and the potential to earn up to £50,000+ annually. With comprehensive training provided through our new Training Academy, employees benefit from ongoing support and resources, ensuring a fulfilling journey towards becoming a qualified instructor while enjoying the satisfaction of teaching locally in Westfield, Surrey.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Leeds
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like All The Top Bananas.
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We think you need these skills to ace Lead Data Scientist in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at All The Top Bananas, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at All The Top Bananas. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at All The Top Bananas
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at All The Top Bananas!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
