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- Tasks: Build predictive models and lead the Data Clean Room strategy for marketing.
- Company: Leading SaaS company in Central London with a focus on innovation.
- Benefits: Flexible work environment, long-term contract, and free breakfast perks.
- Why this job: Join a dynamic team and make an impact in marketing analytics.
- Qualifications: Over 3 years in data analytics and a relevant degree required.
- Other info: Exciting opportunity for career growth in a hybrid role.
The predicted salary is between 43200 - 72000 £ per year.
A leading SaaS company is seeking an experienced Data Scientist for a 12-month contract in Central London. This hybrid role involves building predictive models for marketing, leading the Data Clean Room strategy, and writing complex SQL queries.
Ideal candidates should have over 3 years in data analytics and a relevant degree.
Benefits include a flexible work environment, long-term contract, and perks like free breakfast.
Hybrid Data Scientist — Causal Marketing Analytics in London employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist — Causal Marketing Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and SQL queries. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Data Scientist — Causal Marketing Analytics in 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 passionate about causal marketing analytics and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Show Off Your SQL Skills: Since this role involves writing complex SQL queries, make sure to mention any specific SQL projects you've worked on. We love seeing practical examples of your technical prowess, so don’t hold back!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at EF Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially in predictive modelling and SQL. Be prepared to discuss specific projects where you've built models or written complex queries, as this will show your hands-on experience.
✨Understand Causal Marketing Analytics
Familiarise yourself with the principles of causal marketing analytics. Be ready to explain how you would approach building predictive models in this context, and think of examples from your past work that demonstrate your understanding.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle hypothetical scenarios or case studies related to data clean rooms. This is a great opportunity to showcase your analytical thinking and problem-solving abilities, so think through your approach clearly.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and the role's impact on their marketing efforts. This not only shows your interest but also helps you gauge if the company culture and goals align with your career aspirations.
