Data Scientist Lead Data, Modeling & Analtyics
Pittsburgh, PA - USA
Job Summary
Role Overview:
This Data Science Lead role focuses on delivering decision ready insight through Descriptive (what happened) and Diagnostic (why did it happen) Analytics with concrete outputs such as executive dashboards KPI frameworks trend and cohort analyses drill downs segmentation driver analysis and root cause investigations. The role is accountable for translating complex data into clear performance narratives by defining standardized metrics ensuring data quality and lineage and embedding analyses into scalable BI assets rather than ad hoc reporting. As needed the role performs Prescriptive Analytics (what should we do) by turning findings into decision recommendations through scenario analysis sensitivity testing and practical optimization or decision models and by operationalizing insights into dashboards alerts and playbooks. Predictive Analytics (what will happen) is in scope but not required with forecasting risk or propensity scoring and applied machine learning viewed as nice to have capabilities.
This role leads and prioritizes an analytics roadmap coaches analysts and data scientists and promotes disciplined use of tools such as SQL Python modern BI platforms cloud data technologies Git and applied statistics. Strong partnership with product operations risk and business leaders is essential to frame the right questions and deliver executive ready storytelling that connects analysis to action. The role enforces data governance documentation and audit ready practices ensuring metric consistency and trusted reporting across teams. An experiment and measurement mindset is expected applying test and learn or A/B testing to evaluate impact. Any models or advanced techniques used are monitored for performance reliability and fairness with assumptions and limitations communicated transparently.
Preferred skills & experience:
Proven experience delivering Descriptive and Diagnostic Analytics including KPI frameworks executive dashboards trend/cohort analysis segmentation driver analysis and root cause investigations that inform business decisions.
Strong capability to translate analytical findings into Prescriptive Analytics such as clear decision recommendations scenario and sensitivity analysis and practical optimization or decision models embedded into dashboards alerts or playbooks.
Demonstrated delivery leadership including owning and prioritizing an analytics roadmap coaching analysts and data scientists setting analytical standards and ensuring consistent high impact outcomes.
Hands on proficiency with SQL Python BI visualization tools e.g. Tableau & Plotly cloud data platforms Git and applied statistics along with a strong foundation in data quality metric definition governance documentation and experimental or test and learn approaches.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.
- Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
- Directs the data gathering data processing and data mining of large and complex datasets. Provides deep technical expertise to advance the data science capabilities of analytics teams.
- Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.
- Supervises the implementation of advanced analytics projects and as an expert in the field helps other data scientists present the analytical processes and outcomes to management.
- Partners 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