The ideal candidate will possess a strong background in data science and machine learning, with proven experience in building customer churn and propensity models, particularly within subscription-based or service-led industries. You should be highly proficient in Python and SQL, with a demonstrated ability to take models into production independently. Experience working with the Microsoft technology stack is preferred, and familiarity with forecasting and predictive analytics is essential. Candidates with experience using large language models (LLMs) to analyze unstructured or classified data will have an added advantage. A track record of designing and documenting end-to-end modeling approaches from scratch, combined with the ability to work autonomously, is critical for success in this role.

Responsibilities

• Lead the development and implementation of customer churn and propensity models, ensuring they are accurate, scalable, and actionable.
• Define, document, and communicate modeling approaches and methodologies, establishing best practices for the organization.
• Take ownership of the full data science lifecycle, from data collection and cleaning to model training, validation, and deployment.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Develop forecasting models and other predictive analytics to support strategic initiatives.
• Ensure models are production-ready, scalable, and maintainable, with clear documentation and version control.
• Monitor model performance post-deployment and iterate as necessary to improve accuracy and business impact.
• Stay current with industry trends and incorporate new techniques and tools to enhance analytical capabilities.
• Contribute to building a data-driven culture within the organization by sharing insights and best practices.

Benefits

Joining our team offers a range of benefits designed to support your professional growth and well-being. As a remote role, you will enjoy flexibility in your work environment, with occasional visits to our London office for collaboration and team engagement. You will have the opportunity to lead the development of data science practices within the company, making a tangible impact on business outcomes. We offer competitive compensation packages, ongoing learning and development opportunities, and a collaborative, inclusive work culture that values diversity and innovation. Additionally, you will be part of a forward-thinking organization that recognizes and rewards initiative, expertise, and leadership in data science.

Equal Opportunity

Gleeson Recruitment Group is committed to fostering an inclusive environment where all individuals are valued and respected. We are an equal opportunity employer, welcoming applications from candidates of all backgrounds, experiences, and abilities. We believe diversity enriches our workplace and drives innovation. We are proud to be a disability confident employer and strive to ensure equitable opportunities for all applicants. By applying for this role, you agree to our Privacy Policy, which details how we handle your data and protect your privacy.