Data scientist

Job Description

A client of Insight Global is looking for a Senior Data Scientist to join their team to contribute to our growth as a bank to support M&A transactions from a customer experience, communication and retention standpoint. This is a highly strategic position that will work cross-functionally with our Integration Management Office, Marketing, and IT partners to deliver legally & regulatorily required notifications to customers and create personalized journeys to ease transitions

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• Master's Degree in computer science, statistics, economics or related fields

• Experience with financial services M&A transactions, preferably through audience targeting, or marketing

• Experienced at leveraging both structured and unstructured data sources

• Willingness and ability to learn new technologies on the job

• Demonstrated ability to communicate complex results to technical and non-technical audiences

• Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines

• Strategic, intellectually curious thinker with focus on outcomes

• Professional persona with the ability to form relationships across functions

• Strong experience with SAS (preferred), R/RStudio or Python are also beneficial

• Strong experience querying complex finance service data utilizing SQL