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For Companies At a Glance
- Tasks: Dive deep into data to uncover insights and drive business decisions.
- Company: Join an innovative SaaS company making waves in the UK market.
- Benefits: Enjoy a hybrid work model with 2 days on-site in Shoreditch, London.
- Why this job: Make a real impact in a newly formed team focused on customer engagement.
- Qualifications: Experience with SQL, Python, and data analytics is essential.
- Other info: This is a hands-on role with opportunities for growth and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Salt Recruitment is excited to partner with an innovative SaaS organisation in their search for a talented Senior Data Scientist to join their UK-focused team on an initial 6-month contract. This is a unique opportunity to be part of a newly formed team dedicated to driving the adoption and success of an exciting creative product in the UK market. You’ll be based in Shoreditch, London, with a hybrid working arrangement (2 days per week on-site). About the Role As the team’s most technical hire, you’ll play a pivotal role in shaping how the business leverages data to enhance customer acquisition, engagement, and retention. This is a hands-on role with a significant opportunity to make an impact, working across analytics, model building, and customer segmentation while influencing cross-team initiatives. What You’ll Be Doing: Conducting deep dives into data to uncover actionable insights and inform business decisions. Designing, executing, and analysing large-scale tests to optimise user engagement and retention. Supporting early-stage model building and customer segmentation initiatives. Working in a Databricks environment, leveraging tools such as SQL, Python, and GitHub. Documenting processes and collaborating effectively across teams, ensuring clarity and progress. Providing training and guidance to upskill team members and foster a data-driven cul…
Senior Data Scientist - Customer Analytics & Engagement employer: Salt Search
Contact Detail:
Salt Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Customer Analytics & Engagement
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as SQL, Python, and GitHub. Having hands-on experience or projects that showcase your skills with these technologies will make you stand out.
✨Tip Number 2
Highlight any previous experience you have with customer analytics and engagement strategies. Be prepared to discuss how you've used data to drive business decisions and improve user retention in past roles.
✨Tip Number 3
Since this role involves collaboration across teams, think of examples where you've successfully worked with others to achieve a common goal. Being able to demonstrate your teamwork skills will be crucial.
✨Tip Number 4
Research the company’s creative product and its impact on the UK market. Showing that you understand their business and can contribute to its success will give you an edge during discussions.
We think you need these skills to ace Senior Data Scientist - Customer Analytics & Engagement
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in customer analytics and engagement. Emphasize your technical skills with SQL, Python, and any experience with Databricks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your ability to influence cross-team initiatives. Mention specific projects where you've successfully used data to enhance customer acquisition or retention.
Showcase Your Technical Skills: In your application, provide examples of your hands-on experience with model building and customer segmentation. If possible, include links to any relevant projects or GitHub repositories.
Highlight Collaboration Experience: Since the role involves working across teams, emphasize your experience in collaborative environments. Share examples of how you've documented processes and provided training to team members in previous roles.
How to prepare for a job interview at Salt Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Databricks. Highlight specific projects where you utilized these tools to drive customer engagement or retention.
✨Demonstrate Analytical Thinking
Prepare examples of how you've conducted deep dives into data to uncover insights. Discuss the methodologies you used and the impact your findings had on business decisions.
✨Emphasize Collaboration
Since this role involves working across teams, be ready to share experiences where you collaborated effectively. Talk about how you documented processes and communicated insights to ensure clarity among team members.
✨Prepare for Model Building Discussions
As model building is a key part of the role, think about your previous experiences in this area. Be ready to discuss the models you've built, the challenges you faced, and how you approached customer segmentation.
