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- Tasks: Build predictive models and lead innovative data strategies in a dynamic environment.
- Company: Leading SaaS organisation with a global work culture.
- Benefits: Enjoy free breakfast, hybrid work, and a vibrant team atmosphere.
- Why this job: Make an impact with your data skills while enjoying a flexible work-life balance.
- Qualifications: 5+ years in data analytics, relevant B.Sc degree, and advanced SQL skills.
- Other info: Exciting 12-month contract with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading SaaS organization is seeking an experienced Statistician / Data Modeller for a 12-month hybrid contract in Central London.
Key responsibilities include:
- Building predictive models
- Leading Data Clean Room strategies
- Executing rigorous conversion studies
The ideal candidate will have:
- Over 5 years of experience in data analytics
- A relevant B.Sc degree
- Advanced SQL skills
The role offers benefits like a global work culture and free breakfast.
Causal Data Scientist & Modeling Lead (Hybrid, London) employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Causal Data Scientist & Modeling Lead (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to the right people.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and data analytics projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL skills and understanding the latest trends in data modelling. Be ready to discuss your past experiences and how they relate to the role of Causal Data Scientist & Modeling Lead.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right job that fits your skills and aspirations. Plus, it shows you're serious about joining our awesome team!
We think you need these skills to ace Causal Data Scientist & Modeling Lead (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and predictive modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Causal Data Scientist & Modeling Lead position. Share your passion for data and how you can contribute to our team at StudySmarter.
Show Off Your SQL Skills: Since advanced SQL skills are a must-have, make sure to mention any specific projects where you’ve used SQL effectively. We love seeing real-world applications of your technical abilities!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at EF Recruitment
✨Know Your Data Models
Make sure you brush up on your knowledge of predictive models and data modelling techniques. Be ready to discuss specific projects where you've successfully built models, and how they impacted the business. This will show your expertise and give you a chance to shine.
✨SQL Skills on Display
Since advanced SQL skills are a must for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem or write a query on the spot, so practice common SQL scenarios beforehand. This will help you feel confident and ready to impress.
✨Understand Data Clean Room Strategies
Familiarise yourself with Data Clean Room concepts and how they apply to the SaaS industry. Be prepared to discuss how you would lead these strategies and any relevant experiences you have. Showing that you understand this area will set you apart from other candidates.
✨Cultural Fit Matters
This organisation values a global work culture, so be ready to talk about your experiences working in diverse teams. Share examples of how you've collaborated with colleagues from different backgrounds and how you adapt to various work environments. This will demonstrate that you're not just a technical fit, but also a cultural one.
