Data Scientist Senior - People Analytics & Quantitative Insights

PNC; Pittsburgh (Allegheny County); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Life insurance

Disability protection

401(k) with match

Pension

Stock purchase plans

Dependent care reimbursement

Educational assistance

Wellness program

Paid time off

Job summary

PNC Financial Services Group, Inc. is seeking a Senior Data Scientist for Human Resources in Pittsburgh, PA. You will deliver data-driven solutions informing strategic and operational HR decisions.

Responsibilities include partnering with stakeholders, building dashboards, and leading ML-enabled analytics projects using SAS, Python, or R. The role requires 5+ years of experience and strong communication skills.

Qualifications

• Master’s degree or equivalent combination of education, job-specific certification(s), and experience (minimum 5+ years of industry-relevant experience).
• Proficiency with data analysis tools such as SAS, Python, or R.
• Strong analytical thinking, statistical reasoning, and data mining skills.
• Experience with machine learning techniques, data architecture, and data modeling.
• Excellent written and verbal communication skills.
• Ability to work independently and cross-functional in a fast-paced environment.

Responsibilities

• Partner with stakeholders to identify analytical opportunities and inform decisions.
• Apply quantitative methods to workforce data and develop data-driven solutions.
• Design analyses and dashboards to quantify HR metric relationships.
• Manage multiple initiatives with evolving needs and deadlines.
• Analyze large datasets using SAS, Python, or R and translate results into insights.
• Lead analytics projects using structured and unstructured data.
• Direct data gathering and mining for large datasets.
• Develop algorithms with ML to predict outcomes and actions.
• Lead experiments to identify opportunities for optimization.
• Present insights to management using visualization and storytelling.
• Collaborate with Data Architects, Analysts, Engineers, and Visualization Experts.

Skills

Analytical thinking

Statistical reasoning

Data mining

Communication skills

Independent work

Cross-functional collaboration

Machine learning

Data architecture

Data modeling

Education

Master degree or equivalent

Tools

SAS

Python

R

Job description

Position Overview

Senior Data Scientist – Human Resources, Pittsburgh, PA. Responsible for delivering data‑driven solutions that inform strategic and operational decisions across HR functions.

Responsibilities

• Partner with business stakeholders to identify analytical opportunities, applying quantitative methods and statistical reasoning to interpret workforce data and develop data‑driven solutions that inform strategic and operational decision making.
• Utilize statistical analysis, data modeling, and data visualization techniques to design and deliver analyses and dashboards that quantify relationships between HR metrics and business outcomes.
• Manage and prioritize multiple analytical initiatives, balancing complex data requests, evolving business needs, and competing deadlines in a fast‑paced environment.
• Analyze large, complex datasets and model outputs using tools such as SAS, Python, or R, translating results into actionable insights and recommendations, and communicating findings effectively to both technical and non‑technical audiences.
• Lead the implementation of analytical projects that leverage structured and unstructured data to extract actionable business insights.
• Direct data gathering, processing, and mining of large and complex datasets.
• Lead development of algorithms using advanced mathematical and statistical techniques, including machine learning, to predict business outcomes and recommend optimal actions to management.
• Lead analytical experiments in a methodical manner to identify opportunities for product and process optimization.
• Present business insights to management using visualization technologies and data storytelling.
• Partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data‑driven solutions for the business.

Qualifications

• Master’s degree or equivalent combination of education, job‑specific certification(s), and experience (minimum 5+ years of industry‑relevant experience).
• Proficiency with data analysis tools such as SAS, Python, or R.
• Strong analytical thinking, statistical reasoning, and data mining skills.
• Experience with machine learning techniques, data architecture, and data modeling.
• Excellent written and verbal communication skills.
• Ability to work independently and cross‑functionally in a fast‑paced environment.

Benefits

Comprehensive benefits package including medical, prescription drug, dental, and vision coverage; life insurance; short‑ and long‑term disability protection; 401(k) with PNC match; pension; stock purchase plans; dependent care reimbursement; adoption and surrogacy reimbursement; educational assistance; robust wellness program; paid time off including maternity/parental leave, holidays, vacation, and sick days. Additional details available upon request.

Equal Employment Opportunity (EEO)

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 FDIA and the SAFE Act, as well as FINRA regulations.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact the disability accommodations team at [e-mail]. Subjects should include “accommodation request,” your name, the job ID, and your preferred contact method. Calls to 877‑968‑7762 and say “Workday” for assistance. All information will be kept confidential.