Applied Data Scientist

Posted 3 Days Ago
Evansville, IN, USA
In-Office
79K-156K Annually
Entry level
Fintech • Software • Financial Services
The Role
Analyze complex banking datasets using econometrics, statistical modeling, machine learning, and predictive analytics. Develop models supporting loan and deposit performance analysis, risk management, customer experience, and operational efficiency. Build data pipelines, ensure data quality, create visualizations, communicate recommendations to stakeholders, and collaborate across IT, marketing, and risk teams. Provide mentorship to junior data scientists and analysts.
Summary Generated by Built In
Overview

Old National Bank has been serving clients and communities since 1834. With over $70 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. 


We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance.  401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers 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.  We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.

Responsibilities

Old National Bank is seeking a skilled and innovative Applied Data Scientist to join our dynamic team within Corporate Treasury.  The Applied Data Scientist will leverage econometrics, 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.


Salary Range

The salary range for this position is $79,400/yr - $156,000/yr plus bonus. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate’s relevant skills and professional experience, educational qualifications, and geographic location.



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 behavioral analysis related to loan and deposit performance metrics.
  • 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.

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.


Our culture is firmly rooted in our core values.

We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.

We are Old National Bank.  Join our team!

Skills Required

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
  • Proven experience as a Data Scientist
  • Proficiency in SAS, Python, R, or SQL
  • Knowledge of machine learning techniques, statistical modeling, and data mining
  • Experience with Tableau, Power BI, or similar data visualization platforms
  • Strong analytical and problem-solving skills with large, complex datasets
  • Strong communication skills for presenting complex information to technical and non-technical stakeholders
  • Ability to collaborate in a team environment and manage multiple projects simultaneously
  • Knowledge of banking regulations and compliance

Old National Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Old National Bank and has not been reviewed or approved by Old National Bank.

  • Retirement Support — Retirement support is positioned as a standout, with a dollar-for-dollar 401(k) match up to 5% and immediate vesting. Auto-enrollment and auto-increase features further strengthen the perceived reliability of retirement benefits.
  • Healthcare Strength — Healthcare offerings appear broad and feature-rich, including multiple plan types, HSA contributions for HDHP participants, and access to programs like virtual care and a nurse line. Medical premium discounts tied to wellness and tobacco-free status can meaningfully improve the value of coverage for those who complete the steps.
  • Strong & Reliable Incentives — Incentives can provide meaningful upside in revenue-generating roles, with individual incentive structures described as strong in certain lending/commercial positions. Stock purchase access with a discount also adds a supplementary reward mechanism beyond base pay.

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The Company
HQ: Evansville, IN
5,373 Employees

What We Do

Old National is a regional bank with substantial assets, based in the Midwest. Our dual headquarters are in Chicago, Illinois, and Evansville, Indiana. Since our founding in 1834, we have kept the heart, culture and DNA of a smaller community bank. We are proud to have strong relationships with our clients and communities and an inclusive work environment that empowers our team members to deliver their best. Our story is reflected in our clients and the communities we support. Hopeful entrepreneurs. First-time homebuyers. Parents and families. Business owners. Retirees. We are every bit as committed as we were in 1834 to exceeding client expectations and strengthening and supporting the communities that we call home.

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