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# Lead Data Scientist

- **Company:** Bibby Financial Services Ltd
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $75,000 - $80,000
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Data Architecture, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, SQL Databases, Model Validation, Machine Learning Operations, Software Version Control, Databricks
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/ps08001xv0

## About the Role

* Significant experience in Data Science, machine learning or advanced analytics roles.
 * Proven experience developing and deploying predictive models that deliver measurable business outcomes.
 * Knowledge of statistical modelling, machine learning techniques and model evaluation approaches.
 * Advanced skills in Python and SQL for Data Science, analytics and model development.
 * Exposure in developing Data Science solutions within Azure Databricks or similar cloud-based analytics platforms.
 * Proficiency in implementing or working with MLOps practices, including model deployment, version control, monitoring and lifecycle management.
 * Know-how of translating business challenges into practical Data Science solutions and communicating insights to non-technical stakeholders.
 * Excellent stakeholder management skills, with the ability to work independently and lead complex initiatives from inception to delivery.

## Description

* Design, develop and deploy predictive and statistical models to support strategic and operational decision-making.
 * Deliver Data Science solutions across a range of use cases including customer attrition, credit risk, likelihood-to-pay and pricing optimisation.
 * Apply machine learning, statistical and analytical techniques to solve complex business challenges and generate measurable business value.
 * Evaluate and continuously improve model performance through testing, monitoring and refinement.
 * Ensure models are scalable, reliable and suitable for operational use.
 * Explore and analyse large and complex datasets to identify trends, patterns and opportunities.
 * Translate business problems into analytical approaches and Data Science solutions.
 * Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
 * Partner with stakeholders to define success measures and assess the impact of Data Science initiatives.
 * Establish standards, frameworks and best practices for Data Science and machine learning across the organisation.
 * Define approaches for model development, validation, deployment and lifecycle management.
 * Develop scalable and repeatable Data Science and MLOps processes within the Azure Databricks Lakehouse environment.
 * Collaborate with Data Engineering, Data Architecture and Data Governance teams to ensure Data Science solutions align with wider data standards and platform capabilities.
 * Support the implementation of tooling and processes for model versioning, deployment, monitoring and performance management.
 * Ability to explain models to non-technical business stakeholders and to understand and explain the impacts of models on the business
 * Act as the organisation's subject matter expert for Data Science, predictive analytics and machine learning.
 * Work closely with stakeholders across departments to identify and prioritise opportunities for advanced analytics.
 * Mentor data scientists and other data professionals in advanced analytical techniques where appropriate.
 * Support the Head of Data in defining the Data Science roadmap and the future growth of the capability.