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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 36000 - 60000 £ 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 City of 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 City of 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.
✨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 crowd.
✨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 City of 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 our Hybrid Data Scientist role. Share your passion for causal marketing analytics and how you can contribute to our team.
Show Off Your SQL Skills: Since writing complex SQL queries is part of the job, make sure to mention any specific experiences you have with SQL in your application. We love seeing candidates who can demonstrate their technical prowess!
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 Inside Out
Make sure you’re well-versed in the latest data analytics techniques and tools. Brush up on your SQL skills, especially complex queries, as they’ll likely come up during the interview. Being able to discuss your past projects and how you’ve applied these skills will really impress them.
✨Understand Causal Marketing Analytics
Familiarise yourself with causal marketing concepts and how they apply to predictive modelling. Be ready to discuss how you would approach building models for marketing strategies. Showing that you can connect data science with real-world marketing applications will set you apart.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your problem-solving skills. Think about past experiences where you had to lead a project or tackle a challenging data issue. Prepare specific examples that highlight your analytical thinking and leadership abilities.
✨Show Enthusiasm for the Company Culture
Research the company’s culture and values, especially their flexible work environment. Be prepared to discuss why you’re excited about this role and how you see yourself fitting into their team. A genuine interest in the company can make a big difference!
