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- Tasks: Lead data science initiatives to enhance customer marketing strategies using advanced analytics.
- Company: Join a global leader in leisure and travel, transforming customer engagement.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by leveraging data to personalise marketing for millions.
- Qualifications: Proficient in Python or R, with strong SQL skills and excellent communication abilities.
- 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 in England employer: Metrica Recruitment
Contact Detail:
Metrica Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python or R. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex models to non-technical stakeholders, so practice breaking down your work into simple terms. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist in England
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 analyse customer data and improve marketing strategies.
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 liaising with stakeholders.
Showcase Your Communication Skills: As a strong communicator, you’ll need to convey complex technical concepts to non-technical stakeholders. In your application, provide examples of how you've successfully done this in the past, whether through presentations or collaborative projects.
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!
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 how you've used these tools to drive marketing strategies in the past.
✨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 their marketing efforts and customer engagement.
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL, especially in the context of managing large datasets. Think of specific instances where your SQL skills have helped improve data analysis or campaign measurement.
✨Prepare for Transformation Talks
As this role involves transitioning from SQL Server to AWS, research the benefits and challenges of such a move. Be ready to share your thoughts on how this transformation can enhance data utilisation and customer targeting.
