Applied Data Scientist

at  Old National Bank

Overview:
Old National Bank has been serving clients and communities since 1834. With $48 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.
Our team members are our greatest asset, and we continually invest in their growth and development. We offer a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization.
Old National Bank is seeking a skilled and innovative Applied Data Scientist to join our dynamic team within the Chief Data Office. The Applied Data Scientist will leverage advanced analytics and machine learning techniques to analyze large datasets, uncover insights, and drive strategic decisions. This role is crucial in enhancing our data-driven approach to improving customer experience, risk management, and operational efficiency.

KEY ACCOUNTABILITIES

• Analyze and interpret complex data sets to identify patterns, trends, and insights that can drive business decisions.
• Develop and implement predictive models and algorithms to support various banking functions, including customer segmentation, credit scoring, fraud detection, and marketing strategies.
• Collaborate with cross-functional teams, including IT, marketing, and risk management to define data requirements and deliver actionable insights.
• Communicate findings and recommendations to stakeholders through clear, concise reports and visualizations.
• Stay current with advancements in data science, machine learning, and artificial intelligence and apply these advancements to improve analytical methodologies.
• Ensure data integrity and quality by developing and maintaining robust data pipelines.
• Provide guidance and mentorship to junior data scientists and analysts.

QUALIFICATIONS AND EDUCATION REQUIREMENTS

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or related field.
• Proven experience as a Data Scientist, preferably within the financial services industry.
• Proficiency in programming languages such as SAS, Python, R, or SQL.
• Strong knowledge of machine learning techniques, statistical modeling, and data mining.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Excellent analytical and problem-solving skills, with the ability to work with large, complex datasets.
• Strong communication skills, with the ability to present complex information clearly and concisely to both technical and non-technical stakeholders.
• Knowledge of banking regulations and compliance is a plus.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
• Proficiency or experience using SAS and SAS Viya is preferred.
  Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles.
  As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
  We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.

Please refer the Job description for details