Role:Data Scientist
Location:Manchester Office – Hybrid Working
Hours:8:45am – 5:15pm Monday-Friday
Package:£60k basic + 10% bonus
PHMG is embarking on an exciting new phase in its journey, focusing on modernizing 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 maximize the value from the wealth of data stored within the organisation.
To support this vision, we are seeking a Data Scientist to join the Data & Analytics department. 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.
The Role: What you will do:
Perform statistical analysis to uncover new commercial opportunities. Develop predictive models to forecast subscription renewals, churn rates, and revenue trends, etc. Identify opportunities for upselling, cross-selling, and personalised offers based on customer data. Segment the client base into meaningful audiences/profiles. Analyse the effectiveness of different subscription plans and recommend improvements. Continuously explore new data sources, tools, and methodologies to improve our analytics capabilities. 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.
This is an exciting role for a Data Scientist who has:
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 programming language, such as Python or R. Excellent SQL skills – ideally working with Snowflake 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
The Department
The Data & Analytics department serves as the central hub for data engineering and insights across our organization, comprising three essential teams: Data Engineering, Reporting & Insights, and Commercial Data. Our department operates as a unified force, cultivating a culture that empowers both analysts and engineers to excel. We foster collaboration through regular hackathons, team events, and knowledge-sharing initiatives.
Our department's director recognizes that effective business intelligence is not the sole responsibility of one department but a capability that should permeate the entire organization. To achieve this, we view the data department as an enabler of self-serve analytics, accomplished through robust data management, governance, and education initiatives. This approach ensures that business intelligence is accessible and leveraged across the organization, driving data-driven decision-making at all levels.
Why PHMG Tech?
The IT, Data & Engineering functions within PHMG has been going through a digital transformation, changing how we deliver value to our business. A big part of this change is fostering a culture of being open and honest, collaborating, having fun and enabling psychological safety.
We want to create a place for teams to do their best work, and you will have the opportunity to influence our decisions, help define standards across the teams and contribute to a healthy and happy working environment.
