Lead Data Scientist
Fulcrum Digital · City of London, England, United Kingdom
IT Services and IT Consulting · 1,001-5,000 employees
About the role
The Lead Data Scientist designs, develops, and reviews scalable machine learning models to address complex business challenges. They also collaborate with cross-functional teams to support model deployment and provide technical mentorship to junior team members.
What they look for
Requirements
The role requires deep expertise in data science, including advanced feature engineering and model optimization techniques. Candidates must be able to translate complex data insights into strategic recommendations for senior leadership.
Full description
Who We Are
Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.
We are seeking a highly experienced Senior Site Reliability Engineer to join our Platform Engineering team. This role is pivotal in ensuring the resilience, performance, and operational excellence of our enterprise-grade virtualised application estate. The ideal candidate brings deep DevOps heritage — spanning both build and run phases — and excels at driving automation at scale across CI/CD pipelines, infrastructure provisioning, and operational tooling.
Requirements
This job independently executes key elements of projects/processes within the Data Science area by applying in-depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur.
- Designs, develops, and reviews scalable machine learning models and statistical solutions to address complex business challenges, ensuring alignment with organizational standards.
- Refines and optimizes models through advanced feature engineering, hyperparameter tuning, and validation to ensure high performance and robustness.
- Collaborates with cross-functional teams, including AI/ML Engineering, to support model deployment, scaling, and operationalization.
- Provides technical guidance and mentorship to junior team members, reviewing their work for quality and best practices.
- Translates complex data insights into strategic recommendations for senior leadership, supporting decision-making and innovation.
- Contributes to the development of best practices, standards, and knowledge sharing within the team.
- Documents models, processes, and methodologies to ensure reproducibility and ongoing improvement.
- May contribute to solution development for new products/services and/or manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within the Data Science area.
