Data Science Lead

We are seeking an experienced Data Science Lead to join our Modernisation Program and contribute to the development of advanced analytical capabilities across the organisation.

In this role, you will work closely with business, technology, and analytics teams to design, develop, and implement data science solutions that support informed decision-making and deliver measurable business value. You will play a key role in advancing analytical practices, supporting innovation, and fostering a collaborative and inclusive data-driven culture.

About the Role

As a Data Science Lead, you will combine technical expertise with leadership and stakeholder engagement to deliver high-quality analytical solutions. You will be responsible for developing predictive models, applying statistical and machine learning techniques, and supporting the adoption of modern analytics approaches across a diverse portfolio of initiatives.

You will also provide guidance and mentorship to team members, contribute to capability development within the data science function, and help establish best practices for modelling, governance, and delivery.

Technical Skills & Experience

Essential

* Strong experience applying data science, machine learning, and statistical modelling techniques to solve business challenges.
* Advanced programming skills in Python and experience working with large datasets.
* Experience developing, validating, deploying, and monitoring predictive models.
* Strong SQL and data analysis capabilities.
* Ability to translate business requirements into analytical solutions and communicate findings effectively to a range of audiences.
* Experience working collaboratively within cross-functional teams.

Highly Desirable

* Experience with Spark, PySpark, Hadoop, and distributed data processing technologies.
* Familiarity with NoSQL databases and modern data platforms.
* Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar technologies.
* Knowledge of MLOps, model deployment, automation, and CI/CD practices.
* Experience working within Linux environments.
* Exposure to cloud-based analytics platforms and data engineering concepts.
* Experience delivering projects within Agile or iterative delivery environments.

What We're Looking For

We welcome applications from individuals with a range of backgrounds and experiences who are passionate about using data to solve complex problems and create meaningful outcomes.

Successful candidates will demonstrate:

* Strong analytical and problem-solving capabilities.
* A collaborative approach to working with stakeholders and colleagues.
* The ability to manage multiple priorities and deliver high-quality outcomes.
* Effective communication and presentation skills.
* A commitment to continuous learning, knowledge sharing, and professional development.
* Experience delivering analytics solutions that contribute to business performance.

Experience within financial services or insurance is beneficial but not essential.

Inclusion Statement

We are committed to creating an inclusive workplace where people from all backgrounds, experiences, and perspectives can thrive. We encourage applications from candidates who may not meet every listed requirement but believe they have the skills and potential to succeed in the role.

GSC Manchester TET is acting as an Employment Business in relation to this vacancy.