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Fulcrum Digital

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Lead Data Scientist

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Summary

Lead Data Scientist who designs and optimises scalable machine learning and statistical models, partners with AI/ML engineers on deployment, and mentors junior team members. Day to day involves feature engineering, hyperparameter tuning, validation, and translating data insights into strategic recommendations for senior leadership.

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.



See also

Data Science jobs by country — openings, pay and top skills →

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