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Applied Data Scientist

Harnham - Data & Analytics Recruitment
Posted a day ago, valid for a day
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The job title is Applied Data Scientist, located in a hybrid setting with three days in-office.
  • The position offers a salary of up to £60,000 and requires approximately 3-4 years of experience in data science or a related field.
  • The role involves supporting senior team members in scoping business problems and delivering actionable insights using data science solutions.
  • Candidates should have strong proficiency in Python and PySpark, as well as experience with large datasets and data visualization tools like Tableau or Power BI.
  • Retail sector experience is highly desirable, along with strong communication skills for client engagement.

Job Title: Applied Data ScientistLocation: Hybrid (3 days in-office)Salary: Up to £60,000

Are you passionate about leveraging data science to drive impactful insights in the retail sector? The company are seeking an Advanced Data Scientist to join a dynamic and collaborative team working on high-impact projects within one of the world's leading customer data science organisations.

About the Role

As an Advanced Data Scientist, you will support senior team members in scoping business problems, designing data science solutions, and delivering actionable insights. This is a hands-on, client-facing role requiring strong coding skills and the ability to translate complex data into meaningful recommendations.

Key Responsibilities:

  • Work closely with internal stakeholders and clients to understand business challenges and develop data-driven solutions.
  • Utilise Python and PySpark to create models such as clustering (K-Means, Random Forest), propensity modeling, and regression analysis.
  • Conduct exploratory analysis and derive actionable insights from datasets containing millions of rows.
  • Collaborate with Client Leads and Insight Partners to provide clear recommendations and present findings effectively.
  • Contribute to dashboard development in visualisation tools such as Tableau or Power BI.
  • Support shorter-term automation projects (1-day to 2-week initiatives) as well as longer-term analytical studies (up to 12 months).

Key Requirements:

  • Strong proficiency in Python/PySpark with hands-on experience in propensity modeling, clustering (K-Means, Random Forest), and regression.
  • Commercial awareness with the ability to derive insights and present recommendations confidently.
  • Experience working with large datasets and delivering data-driven insights.
  • Familiarity with data visualisation tools (Power BI, Tableau, Looker, etc.).
  • Retail sector experience is highly desirable.
  • Strong communication skills with the ability to engage in client discussions.
  • Approximately 3-4 years of experience in data science or a related field.

Additional Information:

  • Sponsorship: Not available for this role.

THE BENEFITS:

The successful candidate will receive a salary of up to £60,000, plus an array of additional benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Cameron Macdonald via the apply link below.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.