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- Tasks: Join a team delivering insights for major retail clients using data science techniques.
- Company: Be part of a global leader in Customer Data Science shaping customer experiences.
- Benefits: Enjoy hybrid/remote work options with 3 days onsite in London.
- Why this job: Make a tangible impact while collaborating with cross-functional teams and innovative technologies.
- Qualifications: Degree in a related field and 2-5 years of data science experience required.
- Other info: This role cannot sponsor.
The predicted salary is between 42500 - 57500 £ per year.
Applied Data Scientist
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
Up to £60,000 + Benefits
London (3 days per week)
About the Role
Join a leading data analytics firm, with a strong reputation in the loyalty analytics space, working with top-tier clients on multiyear data science and data engineering projects. If you\’re passionate about data science in customer loyalty and looking for a role with direct impact, this is the place for you.
Key Responsibilities
- Work directly with clients, presenting your findings and insights to drive decision-making.
- Collaborate on clustering, regression, and time-series forecasting projects to optimize product promotions.
- Focus on building models to assess brand performance, helping clients understand which products to promote (premium vs non-premium).
- Attend monthly meetings at Welling Garden City to coordinate with the team and discuss progress.
- Use SQL and Python to analyse large datasets and deliver actionable insights to clients.
What We’re Looking For
- Experience in client-facing roles, able to communicate data-driven insights and recommendations clearly.
- Proficient in SQL and Python for data analysis and modelling.
- Strong experience with clustering, time-series forecasting, and regression techniques.
How to Apply
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.
Applied Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist
✨Tip Number 1
Make sure to showcase your experience with statistical modeling and data science techniques in your conversations. Be ready to discuss specific projects where you've applied these skills to solve complex business problems.
✨Tip Number 2
Familiarize yourself with the retail industry and current trends in customer data science. This knowledge will help you engage in meaningful discussions with the interviewers about how data can drive customer-focused outcomes.
✨Tip Number 3
Prepare to demonstrate your proficiency in Python and SQL through practical examples. You might be asked to solve a problem on the spot, so practice coding challenges that reflect real-world scenarios.
✨Tip Number 4
Highlight your collaboration skills by sharing experiences where you've worked with cross-functional teams. Emphasize how you shared knowledge and best practices to achieve impactful results together.
We think you need these skills to ace Applied Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Python and SQL. Emphasize any projects or roles where you've applied statistical modeling to solve business problems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for customer insights and how your skills align with the role. Mention specific experiences that demonstrate your analytical abilities and problem-solving skills.
Showcase Relevant Projects: If you have worked on projects involving transactional or clickstream data, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work.
Prepare for Technical Questions: Be ready to discuss your technical skills in Python, SQL, and Pyspark during the interview process. Prepare examples of how you've used these technologies to deliver insights or solutions in previous roles.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and SQL. Bring examples of past projects where you applied these skills, especially in solving complex business problems.
✨Demonstrate Analytical Thinking
Expect questions that assess your analytical and problem-solving abilities. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your thought process.
✨Communicate Clearly
Since excellent communication skills are crucial, practice explaining your insights and solutions in a clear and concise manner. Tailor your explanations to be understandable for both technical and non-technical audiences.
✨Emphasize Collaboration
Highlight your experience working with cross-functional teams. Share specific examples of how you collaborated with others to build impactful data solutions, as teamwork is key in this role.