Senior Data Science Consultant

Lead or contribute to moderately complex analytics initiatives using advanced data science techniques to generate actionable business insights and recommendations.

Analyze large, structured and unstructured datasets to develop hypotheses and Advanced analyses resulting in meaningful insights impacting branch banking analytics.

Collaborate and communicate analytical results effectively to non-technical stakeholders; may lead projects or mentor junior staff.

4+ years of data science experience demonstrated via work, training, military experience, or education.

Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.

Experience with programming languages including Python, PySpark, and SQL; familiarity with large datasets and data extraction/manipulation.

Work Experience Required: 4+ years in data science or analytics; experience in financial services or banking is desired but not explicitly mandatory.

Experienced in translating complex business problems into actionable data-driven strategies within large banking or financial services environments.

Proficient in advanced statistical modeling, data visualization (Power BI, Tableau), and cloud environments (GCP, Azure, AWS).

Capable of managing multiple priorities in dynamic settings while communicating complex technical findings clearly to non-technical audiences.