Data Scientist – Data and Automation – Artificial Intelligence –

PNC is hiring a Data Scientist for its Data and Automation – Artificial Intelligence team, based in Strongsville, Cuyahoga County, US. This role offers a salary of $76,632.65 and focuses on building predictive models and automation solutions.

Key Responsibilities

• Design, develop, and deploy machine‑learning models that support business‑critical initiatives.
• Collaborate with data engineers and business stakeholders to define data pipelines and automation workflows.
• Analyze large, complex datasets to uncover trends, insights, and opportunities for process improvement.
• Maintain model performance through monitoring, testing, and continuous refinement.
• Document methodologies, code, and results to ensure reproducibility and knowledge sharing.

Qualifications

• Bachelor’s or higher in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of professional experience in data science, machine learning, or AI.
• Proficiency in Python or R, and familiarity with libraries such as scikit‑learn, TensorFlow, or PyTorch.
• Strong SQL skills and experience with relational databases.
• Excellent problem‑solving abilities and communication skills to translate technical concepts to non‑technical audiences.

Why Join PNC

PNC values an inclusive workplace where every employee feels respected and can contribute to the company’s success. You’ll work in a collaborative environment that encourages innovation and professional growth.

Frequently Asked Questions

What type of projects will the Data Scientist work on?

You will develop predictive models, create automated data pipelines, and deliver AI solutions that drive business decisions.

What technical skills are required for this position?

Proficiency in Python or R, experience with machine‑learning libraries (e.g., scikit‑learn, TensorFlow), strong SQL knowledge, and a solid statistical background.

Is relocation assistance offered for candidates outside Strongsville?

PNC encourages candidates from various locations to apply and may consider relocation support on a case‑by‑case basis.