Data Scientist performing analytics within PNC's Data and Automation organization. Focused on NLP, machine learning, and developing data-driven solutions for business insights.
Responsibilities
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.
Requirements
Natural Language Processing (NLP), a must
PyTorch / Tensorflow
Small / Large Language Model Experience
Prompt Engineering
Preferred: MS Azure or AWS experience
3+ years of relevant / direct industry experience
Certifications are often desired.
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered
Benefits
medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
8 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service
Job title
Data Scientist – Data and Automation, Natural Language Processing, Python
Mid - level Backend Engineer at a European technology company. Building and operating backend systems for high - traffic consumer platforms used by millions of users, with a focus on performance and reliability.
Software Engineer Backend developing backend solutions for mobile apps using JSON/REST. Collaborating on agile projects with a focus on modern frameworks and server infrastructure.
Senior .NET/C# Developer tasked with enhancing Saipher ATC systems for air traffic management. Involvement in full software development lifecycle using modern methodologies.
Senior Cloud Software Engineer developing cloud - native applications with Java/Kotlin and integrating AI solutions. Role includes backend development and AI architecture for enterprise clients.
AI Platform Architect responsible for scaling EisnerAI Platform and mentoring cross - functional teams at EisnerAmper. Overseeing cost and performance optimization across the AI stack.
JavaScript Engineer contributing to complex client - facing web applications for custom software solutions company. Collaborating with engineers and designers for high - quality software delivery in a hybrid model.
Softwareentwickler für die Entwicklung von Lösungen zur Inbetriebnahme von High Tech Maschinen. Optimierung von Abläufen und Unterstützung in agilen Teams.
Backend Engineer developing backend solutions for a decentralized infrastructure in digital content validation. Collaborating on a pilot project to build a modular prototype in Munich.
PHP Developer for a public sector project in Lisboa, focusing on security, data protection, and responsive applications. Requires 5+ years of experience with modern PHP and web technologies.
Senior Software Engineer developing and designing features related to AI/ML for NetApp. Collaborating on distributed software for cloud and hybrid - cloud solutions in a team environment.