Data Scientist Retail Banking (ML & Predictive Modeling)
Pittsburgh, PA - USA
Job Summary
Job Summary:
We are seeking a highly analytical and technically skilled Data Scientist to support the development evaluation implementation and optimization of advanced predictive models within Retail Banking. This role will focus on building machine learning and statistical models designing and analyzing experiments enhancing data-driven business strategies and communicating actionable insights to business leaders and executive stakeholders.
The ideal candidate combines strong predictive modeling expertise with hands-on experience working with large-scale data environments and modern programming languages. This position offers the opportunity to expand existing production modeling frameworks while partnering closely with risk strategy analytics and business teams.
Required Qualifications:
Bachelors Degree in Statistics Mathematics Data Science Computer Science Economics Finance Engineering or a related quantitative field.
2-3 years of professional experience in data science predictive analytics statistical modeling machine learning or quantitative analysis.
Experience developing and implementing predictive models using large datasets.
Strong understanding of statistical modeling machine learning techniques and model performance evaluation.
Experience building and validating credit risk retail banking or customer analytics models.
Proficiency in one or more of the following programming languages: Python R or SAS
Experience with: PySpark R Shiny or SQL
Experience working with large-scale data environments and big data technologies including Teradata Hadoop AWS Impala Hive or Trino
Experience with relational database platforms such as: Oracle MySQL PostgreSQL TOAD
Experience using GitHub or other version control platforms.
Strong communication and presentation skills with the ability to translate technical findings for non-technical audiences.
Preferred Qualifications:
Masters Degree in a quantitative discipline.
Experience supporting Retail Banking Consumer Banking Risk Management Credit Risk or other Financial Services functions.
Experience with model governance model risk management and regulatory expectations within the banking industry.
Prior experience supporting EAD PD LGD CECL stress testing or other risk modeling frameworks.
Knowledge of model deployment model monitoring and production support processes.
Experience working in Agile or cross-functional analytics environments.
Demonstrated ability to influence business decisions through advanced analytics and data storytelling.
Experience presenting analytical results to senior leadership and executive stakeholders.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
- Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
- Participates in the data gathering data processing and data mining of large and complex datasets.
- Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
- Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
- May partner with Data Architects Data Analysts Data Engineers and Visualization Experts to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
- Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNCs Enterprise Risk Management Framework.
Successful candidates must demonstrate appropriate knowledge skills and abilities for a role. Listed below are skills competencies work experience education and required certifications/licensures needed to be successful in this position.
To learn more about these and other programs including benefits for full time and part-time employees visit.
If an accommodation is required to participate in the application process please contact us via email at . Please include accommodation request in the subject line title and be sure to include your name the job ID and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say Workday for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
PNC provides equal employment opportunity to qualified persons regardless of race color sex religion national origin age sexual orientation gender identity disability veteran status or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and for any registered role the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA) which prohibit the hiring of individuals with certain criminal history.
Required Experience:
IC