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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 employer: Wunderman
Contact Detail:
Wunderman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Predictive Marketing & Personalization
✨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 make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist - Predictive Marketing & Personalization
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’ve applied these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience in deploying models and collaborating with engineering teams, as this is key for us at StudySmarter.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point!
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!
How to prepare for a job interview at Wunderman
✨Know Your Stats
Brush up on your statistical methods and be ready to discuss how you've applied them in real-world scenarios. Be prepared to explain concepts like regression, classification, and A/B testing, as these will likely come up during the interview.
✨Showcase Your Python & SQL Skills
Have examples ready that demonstrate your proficiency in Python and SQL. You might be asked to solve a problem or analyse a dataset on the spot, so practice coding challenges and be familiar with libraries like Pandas and Scikit-learn.
✨Collaboration is Key
Since this role involves working closely with engineering teams, be ready to share experiences where you successfully collaborated on projects. Highlight your communication skills and how you ensure everyone is aligned towards common goals.
✨Focus on Impact
Prepare to discuss how your work has delivered measurable marketing value or improved customer experiences in previous roles. Use specific metrics or outcomes to illustrate your contributions and the impact of your data-driven solutions.
