Data Science Engineer Jobs in Pennsylvania
Data Science Engineer jobs in Pennsylvania are in strong demand, with concentrated hiring in financial services, healthcare analytics, and defense and government contracting sectors, covering roles from entry-level data engineer to senior machine learning engineer. Philadelphia, Pittsburgh, and Malvern are the most active hiring metros, anchored by major employers such as Comcast, Lockheed Martin, and Independence Blue Cross. The most sought-after specializations include MLOps pipeline development, real-time data platform engineering, and NLP-driven analytics. Find a role that fits below and apply directly.
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Interested in a career that matters?

The Plant Biosolutions Applied Research team (PBARD) is seeking a highly motivated graduate student with a passion for software development, data science, and agriculture to develop an automated field trial data quality control tool that will improve the speed, accuracy, and consistency of data processing across our global field testing network.
By the end of the internship, the successful candidate will deliver a functional prototype that automates field trial data quality review, helping PBARD improve efficiency, data integrity, and confidence in research decisions.
The Role & Your Impact
Field trials generate large volumes of agronomic, biological, and environmental data that support product development, commercialization decisions, and innovation portfolio investments. You will design and develop a Python-based application that automates data quality review processes, identifies potential data issues, and provides actionable feedback to researchers before data are advanced into downstream analytics and decision-making workflows. The project will support PBARD's ongoing digital transformation efforts by reducing manual review time, improving data integrity, and enabling faster access to high-quality field trial results.
Key responsibilities:
- Develop a Python-based automated quality control (QC) tool for field trial data.
- Design validation checks to identify missing, inconsistent, or potentially erroneous data.
- Create user-friendly reporting capabilities that summarize quality issues and recommend corrective actions.
- Partner with researchers and business stakeholders to translate operational needs into effective technical solutions.
- Document the application, support user adoption, and present project outcomes and recommendations to R&D leadership.
What You’ll Need to Be Successful
Required qualifications
- Pursuing an M.S. or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, Agricultural Engineering, or a related field.
- Strong Python programming skills.
- Experience with data analysis libraries such as Pandas and NumPy.
- Excellent problem-solving and communication skills.
Additional Skills & Interests We Value
- Experience with ARM or agricultural field-trial data.
- Experience with experimental data analysis, machine learning, databases, data visualization tools, or Django-based Python application development. Interest in agriculture, biological research, or digital transformation.
What We Offer
This internship offers the opportunity to apply software engineering and data science skills to a real-world business challenge while contributing directly to the future of sustainable agriculture.
Ways of Working / Working Conditions
- Full-time internship assignment lasting approximately 10 weeks. Located on-site at our Morrisville, NC facility.
Compensation & Benefits
Expected salary: $28/hr
Relevant Information
Program Dates: May 24th, 2027 to July 30th, 2027
Position Type: Temporary position payrolled through a third-party provider
Application Deadline: October 30, 2026
Our purpose guides the way
In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless. If our purpose resonates with you, we encourage you to apply.
Opportunities for everyone
We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.
We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.
Explore other openings
If this position isn’t the right fit, you may still find other opportunities with us. You’re welcome to explore open roles or create a job agent to stay connected with future opportunities at novonesis.com/Career
Interested in a career that matters?

The Plant Biosolutions Applied Research team (PBARD) is seeking a highly motivated graduate student with a passion for software development, data science, and agriculture to develop an automated field trial data quality control tool that will improve the speed, accuracy, and consistency of data processing across our global field testing network.
By the end of the internship, the successful candidate will deliver a functional prototype that automates field trial data quality review, helping PBARD improve efficiency, data integrity, and confidence in research decisions.
The Role & Your Impact
Field trials generate large volumes of agronomic, biological, and environmental data that support product development, commercialization decisions, and innovation portfolio investments. You will design and develop a Python-based application that automates data quality review processes, identifies potential data issues, and provides actionable feedback to researchers before data are advanced into downstream analytics and decision-making workflows. The project will support PBARD's ongoing digital transformation efforts by reducing manual review time, improving data integrity, and enabling faster access to high-quality field trial results.
Key responsibilities:
- Develop a Python-based automated quality control (QC) tool for field trial data.
- Design validation checks to identify missing, inconsistent, or potentially erroneous data.
- Create user-friendly reporting capabilities that summarize quality issues and recommend corrective actions.
- Partner with researchers and business stakeholders to translate operational needs into effective technical solutions.
- Document the application, support user adoption, and present project outcomes and recommendations to R&D leadership.
What You’ll Need to Be Successful
Required qualifications
- Pursuing an M.S. or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, Agricultural Engineering, or a related field.
- Strong Python programming skills.
- Experience with data analysis libraries such as Pandas and NumPy.
- Excellent problem-solving and communication skills.
Additional Skills & Interests We Value
- Experience with ARM or agricultural field-trial data.
- Experience with experimental data analysis, machine learning, databases, data visualization tools, or Django-based Python application development. Interest in agriculture, biological research, or digital transformation.
What We Offer
This internship offers the opportunity to apply software engineering and data science skills to a real-world business challenge while contributing directly to the future of sustainable agriculture.
Ways of Working / Working Conditions
- Full-time internship assignment lasting approximately 10 weeks. Located on-site at our Morrisville, NC facility.
Compensation & Benefits
Expected salary: $28/hr
Relevant Information
Program Dates: May 24th, 2027 to July 30th, 2027
Position Type: Temporary position payrolled through a third-party provider
Application Deadline: October 30, 2026
Our purpose guides the way
In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless. If our purpose resonates with you, we encourage you to apply.
Opportunities for everyone
We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.
We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.
Explore other openings
If this position isn’t the right fit, you may still find other opportunities with us. You’re welcome to explore open roles or create a job agent to stay connected with future opportunities at novonesis.com/Career
See All 24 Data Science Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Data Science Engineer JobsData Science Engineer Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Data Science Engineer Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Pennsylvania Employers Look For
The qualifications that appear most often in data science engineer jobs across Pennsylvania.
- Bachelor's or master's degree in computer science, data science, statistics, or a related field
- Proficiency in Python, SQL, and at least one big data framework such as Spark or Kafka
- Experience designing and deploying machine learning models in production environments
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Strong knowledge of data pipeline architecture, ETL processes, and workflow orchestration tools
- Experience with version control systems and CI/CD practices for data and ML workflows
Data Science Engineer Jobs in Pennsylvania: Frequently Asked Questions
How do you become a data science engineer in Pennsylvania?
Data science engineering in Pennsylvania does not require a state-issued license or registration. Employers in the state typically expect a bachelor's degree in computer science, data science, engineering, or a quantitative field, with a master's degree preferred at larger organizations such as healthcare systems and defense contractors. Building a portfolio of production-grade data pipelines or deployed ML models, and earning cloud certifications from AWS or Google, strengthens candidacy significantly with Pennsylvania employers.
How much do data science engineers make in Pennsylvania?
Data science engineers in Pennsylvania earn a median of about $106,850 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,340 for the lowest 10% to over $162,290 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science engineers in Pennsylvania?
Employers hiring data science engineers in Pennsylvania right now include BNY, CSL, and MSD, based on current listings on Migrate Mate as of October 2026. Pennsylvania's mix of large health systems, defense contractors, and financial services firms creates consistent demand for data science engineers with experience in regulated industry data environments.
Which Pennsylvania cities have the most data science engineer jobs?
Pittsburgh, Philadelphia, and Erie have the most data science engineer openings in Pennsylvania. Philadelphia drives the largest share through its concentration of health systems, insurance companies, and financial technology firms, while Pittsburgh's strength in robotics research and university-affiliated tech institutes sustains steady demand, and suburban markets like Malvern and King of Prussia attract openings from defense and pharmaceutical headquarters based in the area.
Are there remote data science engineer jobs in Pennsylvania?
Yes, and more than most fields. About 50% of data science engineer openings tied to Pennsylvania are remote or hybrid as of October 2026, reflecting how naturally the role lends itself to distributed work. The parts of the role most likely to be fully remote are model development, data pipeline engineering, and analytics work, while roles requiring close collaboration with on-site infrastructure or classified government systems tend to require in-person presence.
How can I get hired as a data science engineer in Pennsylvania with little or no experience?
The most realistic entry path is through a junior data engineer or analytics engineer role at a Pennsylvania health system, insurance carrier, or technology services firm, where structured onboarding exists for recent graduates. Organizations such as Penn Medicine, Highmark Health, and defense contractors running university partnerships in Pittsburgh and Philadelphia hire from associate and internship programs that convert to full-time positions. A portfolio demonstrating end-to-end pipeline projects or a deployed model, combined with a cloud certification, consistently opens doors at these employers.
Where can I find and apply to data science engineer jobs in Pennsylvania?
You can find and apply to data science engineer jobs in Pennsylvania on Migrate Mate, which lists current openings across the state. Search the listings to see what is available right now, find roles that fit your background and location preference, and apply directly.
See All 24 Data Science Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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