Lead Data Scientist
We are seeking a hands-on Lead Data Scientist/Data Engineering Lead to drive end-to-end delivery of data science and data engineering projects within the financial services domain. This role will lead a team of data professionals, partner with client stakeholders, and architect scalable analytics and machine learning solutions.
Key Requirements:
Strong expertise in Python and advanced SQL (mandatory)
Experience delivering data science solutions in Banking, Payments, Cards, Lending, or Financial Services
Proven experience leading teams and managing project delivery
Hands-on experience with machine learning, analytics, and large-scale data processing
AWS cloud experience preferred (S3, Glue, EMR, Redshift, SageMaker)
Strong stakeholder management and client-facing communication skills
Experience with Spark, MLOps, CI/CD, and modern data engineering practices is a plus
Responsibilities:
Lead delivery of data science and data engineering initiatives
Manage and mentor a team of data scientists and engineers
Design and deploy scalable analytics and ML solutions
Collaborate with business and technical stakeholders to solve complex data challenges
Ensure quality, governance, and compliance for financial data environments.
Equal opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law