Data Scientist

Role: Data Scientist

Location: Manchester – Hybrid working

Hours: Monday-Friday – 8:45am – 5:15pm

Package: £77,000 OTE

PHMG is embarking on an exciting new phase in its journey, focusing on modernising our data capability and enhancing the way we work. This evolution presents numerous opportunities to leverage data more effectively, allowing us to better serve our customers and colleagues. As part of this growth, we are expanding our team to maximise the value from the wealth of data stored within the organisation.

To support this vision, we are seeking a Data Scientist to join the Insights function. The Data Scientist will play a crucial role in identifying trends, uncovering patterns, and extracting valuable insights from business data. The ideal candidate will have a proven track record of extracting insights from complex datasets. Sound business understanding and problem‑solving abilities will also be required.

This role is perfect for individuals passionate about applying analytical methods to foster data‑driven decision‑making. You will harness your analytical prowess to identify new opportunities for enhancing our business capabilities. We invite you to be part of this exciting journey, marking a new chapter of data‑driven excellence at PHMG.

• Perform statistical analysis to uncover new commercial opportunities.
• Develop predictive models to forecast subscription renewals, churn rates, and revenue trends, etc.
• Profile our client base and prospective clients.
• Identify opportunities for upselling, cross‑selling, and personalised offers based on customer data.
• Segment the client base into meaningful audiences/profiles.
• Support ad‑hoc analysis requests from the business, providing rapid insights for decision‑making.
• Collaborate closely with the Data Engineering team to improve data models.
• Present insights and findings to stakeholders in clear, actionable ways.

• Proven experience as a Data Scientist, ideally within a sales or commercial environment.
• Strong knowledge of data analysis techniques, statistical methods, and machine learning.
• Proficiency in a Python, specifically scikit‑learn and pandas.
• Experience in using MS Fabric desirable.
• SQL skills would be beneficial.
• Strong analytical and problem‑solving abilities.
• A can‑do attitude and is a self‑starter.
• Comfortable working collaboratively within a cross‑functional team.
• Excellent communication skills, with the ability to present complex insights in a simple, clear way.
• Proven track record of using insights to drive business change.