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- Tasks: Dive into customer data to uncover insights and drive business decisions.
- Company: Join a rapidly expanding team focused on innovative customer strategies.
- Benefits: Enjoy hybrid work options and opportunities for personal growth.
- Why this job: Be part of a dynamic environment that values data-driven decision-making and creativity.
- Qualifications: Experience with Python and R in data science is essential.
- Other info: Connect with Chris Ryan for an informal chat about the role.
The predicted salary is between 36000 - 60000 £ per year.
Ocho People are proud to be partnering with their client on this exciting search for a Data Scientist – Customer Insights. This is a fantastic opportunity to join a forward-thinking team focused on leveraging data to shape customer strategy and enhance experience at scale.
In this role, you'll dig deep into customer data using Python, R, and advanced analytics to uncover insights that drive smarter business decisions and measurable impact.
- Analyze and interpret customer behavior using Python, R, and robust data platforms to support strategic initiatives.
- Drive experimentation through A/B testing and machine learning to optimize the customer journey.
- Improve data quality and visibility by supporting system integration, ensuring data accuracy, and evolving performance dashboards.
Proven experience using Python and R for data science and analytics. A strong track record of turning customer data into actionable strategy. Our client is expanding rapidly, offering exciting opportunities for growth in a dynamic, fast-paced environment.
Contact Detail:
Ocho Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in customer data analytics. Understanding how businesses are currently leveraging data to enhance customer experiences will give you a competitive edge during discussions.
✨Tip Number 2
Showcase your practical experience with Python and R by preparing examples of past projects or analyses you've conducted. Being able to discuss these in detail can demonstrate your hands-on skills effectively.
✨Tip Number 3
Network with professionals in the field, especially those who work in customer insights or data science. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss A/B testing and machine learning techniques in your conversations. Being able to articulate your understanding and experience with these methods will show that you're ready to contribute to their strategic initiatives.
We think you need these skills to ace Marketing Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Marketing Data Scientist. Familiarise yourself with the tools mentioned in the job description, such as Python and R, and think about how your experience aligns with these requirements.
Tailor Your CV: Customise your CV to highlight relevant experience in data analysis, customer insights, and any projects where you've used Python or R. Be specific about your achievements and how they relate to the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and customer insights. Mention specific examples of how you've used data to drive business decisions and improve customer experiences.
Highlight Your Analytical Skills: In your application, emphasise your analytical skills and experience with A/B testing and machine learning. Provide examples of how you've applied these techniques in previous roles to optimise customer journeys.
How to prepare for a job interview at Ocho
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and R during the interview. Be prepared to discuss specific projects where you've used these tools to analyse customer data and derive insights.
✨Demonstrate Your Analytical Thinking
Prepare examples of how you've turned complex data into actionable strategies. Discuss any A/B testing or machine learning projects you've worked on, focusing on the impact they had on customer journeys.
✨Understand the Company’s Customer Strategy
Research the company’s approach to customer insights and data-driven decision-making. This will help you tailor your responses and show that you're genuinely interested in how you can contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the tools they use, and their current challenges. This not only shows your interest but also gives you a better understanding of the role and how you can fit into their vision.
