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- Tasks: Drive data-driven solutions using statistical methods and machine learning for top brands.
- Company: Leading data and AI consultancy with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on marketing strategies and enhance customer experiences.
- Qualifications: Experience in deploying models, strong statistics background, and skills in Python and SQL.
- Other info: Collaborative environment with a focus on delivering measurable results.
The predicted salary is between 36000 - 60000 £ per year.
A leading data and AI consultancy is seeking a Data Scientist to drive data-driven solutions for top-tier brands. You will leverage statistical methods and machine learning to create impactful analytics and models. The ideal candidate needs practical experience in deploying models, a solid foundation in statistics, and proficiency in Python and SQL. Collaboration with engineering teams is crucial for achieving production-ready outcomes. This role focuses on delivering measurable marketing value and customer experience improvements.
Data Scientist - Predictive Marketing & Personalization in London employer: Wunderman
Contact Detail:
Wunderman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Predictive Marketing & Personalization in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field, especially those working in predictive marketing. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. 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 brushing up on your statistical methods and model deployment strategies. Be ready to discuss how you've used these in past projects, as real-world examples can really impress hiring managers.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team at StudySmarter!
We think you need these skills to ace Data Scientist - Predictive Marketing & Personalization in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and any statistical methods you've used. We want to see how you can leverage these skills to create impactful analytics and models.
Be Specific About Your Experience: When detailing your past projects, focus on the practical experience you've had in deploying models. We love seeing real-world applications of your work, so don’t hold back!
Collaboration is Key: Since this role involves working closely with engineering teams, mention any collaborative projects you've been part of. Show us how you’ve worked together to achieve production-ready outcomes.
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 get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Wunderman
✨Know Your Stats
Brush up on your statistical methods and machine learning concepts. Be ready to discuss how you've applied these in real-world scenarios, especially in predictive marketing. Having concrete examples will show your practical experience.
✨Showcase Your Coding Skills
Make sure you're comfortable with Python and SQL. Prepare to demonstrate your coding abilities, perhaps by solving a problem or discussing a project where you deployed models. This will highlight your technical proficiency.
✨Collaboration is Key
Since this role involves working closely with engineering teams, be prepared to talk about your experience in collaborative projects. Share examples of how you’ve successfully worked with others to achieve production-ready outcomes.
✨Focus on Impact
Emphasise how your work has delivered measurable marketing value and improved customer experiences. Be ready to discuss specific metrics or results from your previous projects that demonstrate your impact in the field.
