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- Tasks: Lead data science initiatives to enhance customer targeting and marketing strategies.
- Company: Join a global leader in leisure, travel, and tourism with a tech-driven culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for millions of customers.
- Qualifications: Strong communication skills and experience in Python, R, and SQL required.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
The Company is one of the world’s largest leisure, travel and tourism companies, owning travel agencies, hotels, airlines, cruise ships, and retail stores across the globe. They use cutting-edge technology and emphasise an analytically driven culture to better understand and engage with their customers.
The Role is situated within the marketing data science team, focusing on improving the utilisation of vast amounts of customer data to enhance marketing efforts at an individual level. As a lead data scientist, you will be responsible for measuring marketing campaigns and recommending changes to make them more targeted, including working on the contact strategy for half a billion targeted marketing emails sent annually. You will also build models to better understand customers and develop recommender systems to ensure product offerings are as targeted as possible.
This opportunity is not a line management role, but you will coach the team in developing new models and tools. You will lead the way in data science for this company, managing the transformation from SQL Server to AWS, and advising on the use of R and Python to improve customer targeting. Additionally, you will liaise with key stakeholders across the business to persuade them on the implementation of developed models.
Requirements:
- Strong communicator who can speak confidently about technical models to non-technical stakeholders
- Modelling experience with Python or R
- Experienced user of SQL
Lead Data Scientist employer: Metrica Recruitment
Contact Detail:
Metrica Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python or R. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex models in simple terms, so you can impress both technical and non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it!
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with Python, R, and SQL, and showcase any relevant projects that demonstrate your ability to improve marketing strategies using data.
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 skills can help us transform our marketing efforts. Be sure to mention your experience in coaching teams and working with stakeholders.
Showcase Your Communication Skills: As a strong communicator, it's essential to convey complex technical concepts in a way that's easy for non-technical stakeholders to understand. Use examples from your past experiences where you've successfully done this.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Metrica Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science techniques relevant to the role. Brush up on your modelling experience with Python and R, and be ready to discuss specific projects where you've used these tools to drive results.
✨Communicate Like a Pro
Since you'll be liaising with non-technical stakeholders, practice explaining complex models in simple terms. Use relatable examples to demonstrate how your work can impact marketing strategies and customer engagement.
✨Showcase Your SQL Skills
Prepare to discuss your experience with SQL in detail. Be ready to share examples of how you've used SQL to extract insights from large datasets, and think about how you can apply this knowledge to the company's vast customer data.
✨Be a Team Player
Even though this isn’t a line management role, highlight your coaching experience. Share instances where you've helped team members develop new models or tools, showcasing your leadership potential and collaborative spirit.
