Data Scientist in Remote, Pennsylvania at Fulton Bank

Requisition ID: 2026-24069
Category: Audit/Risk/Compliance
# of Openings: 1
Position Type (Portal Searching): Full-Time
Remote
Lancaster
FLSA Status: Exempt

Value Proposition

Our values define us and our culture inspires us to change lives for the better. Our employees are the heart and soul of our company, and every success we experience begins with them. Together we are committed to making a positive impact in our local communities. We champion a culture of continuous learning, work-life integration, and inclusion. We promote a digitally enabled work environment to continuously enhance the experience of our employees and customers.

Overview

This is a full-time career opportunity that can be remote.

The Data Scientist I will be responsible for the end-to-end process of analyzing data, from collecting and cleaning raw data to building and deploying insights, analysis, and standard predictive models, and communicating the results to stakeholders . Key responsibilities include performing exploratory data analysis, developing and refining machine learning models, and collaborating with cross-functional teams to implement data-driven solutions and provide actionable business insights and analysis. This role will support higher-level data scientists and leadership with their work on complex models by completing "upfront" data work and research required for the models.

Responsibilities

• Identify and collect data from various sources, such as databases (on-premise and cloud), surveys, and other mediums.
• Clean and preprocess large, raw, and structured or unstructured datasets to ensure data quality, accuracy, and usability.
• Conduct exploratory “upfront” data analysis (EDA) to find patterns, trends, and anomalies, and make appropriate changes for final analysis or model development.
• Work in close collaboration with higher-level data scientists to develop and implement algorithms and machine learning models to solve business problems and make predictions.
• Test and refine models for accuracy and improved performance.
• Evaluate the performance of models using relevant metrics and monitor for degradation.
• Translate complex findings into clear, actionable insights for stakeholders.
• Create reports, dashboards, and visualizations to communicate results effectively.
• Collaborate with developers and engineers to deploy models into production.
• Work with cross-functional teams to integrate data-driven solutions into business strategies.
• Continuously seek out industry best practice and skills development to create new capabilities for data analytics and data science.
• Ad-hoc projects & analysis assigned by management or senior leadership.

Additional Responsibilities

• Project management
• Utilize publicly available machine learning or deep learning tools such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. in pursuit of business objectives
• Keep pace with developments in the data science field

Qualifications

Education

Bachelor's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics, or related field. (Required)

Master's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics, or related field. (Required)

Experience

2 or more years data mining, machine learning algorithms, large datasets and complex relational data models. (Required)

3 or more years proficient programming with Python. (Preferred)

2 or more years Scikit-learn, Keras, Pandas, Numpy. (Preferred)

1 or more years cloud computing. (Preferred)

1 or more years financial services. (Preferred)

Knowledge, Skills, and Abilities

• Working knowledge of various supervised and unsupervised learning methods such as logistic regression, bagging & boosting, clustering, etc. (Required)
• Working knowledge of machine learning learning techniques, applications, and libraries. (Required)
• Hands-on experience with AWS, GCP, or Azure. Able to utilize API endpoints. (Preferred)
• Effective communications skills and ability to articulate recommendations to varied audiences (Required)

Sponsorship Statement

As a condition of employment, individuals must be authorized to work in the United States without sponsorship for a work visa by Fulton Bank currently or in the future.

EEO Statement

Fulton Bank (Fulton) is an equal opportunity employer and is committed to providing equal employment opportunity for all qualified persons. Fulton will recruit, hire, train and promote persons in all job titles, and ensure that all other personnel actions are administered, without regard to race, color, religion, creed, sexual orientation, national origin, citizenship, gender, gender identity, age, genetic information, marital status, disability, covered veteran status, or any other legally protected status.