Data Science Analyst Jobs in Pennsylvania
Data Science Analyst jobs in Pennsylvania are in strong and consistent demand, with the heaviest concentration in financial services, healthcare systems, and insurance across Philadelphia, Pittsburgh, and the broader Harrisburg corridor, covering openings from entry-level analyst through senior positions. Major employers with deep roots in the state include Comcast, Independence Blue Cross, and PNC Financial Services, each maintaining substantial analytics teams. The most sought-after specialties in Pennsylvania listings are predictive modeling, healthcare analytics, and risk and fraud analysis. Find a role that fits below and apply directly.
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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 Analyst Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Data Science Analyst JobsData Science Analyst Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Data Science Analyst 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 analyst jobs across Pennsylvania.
- Bachelor's degree in data science, statistics, computer science, or a closely related field
- Proficiency in Python or R for data manipulation, modeling, and analysis
- Experience with SQL for querying and managing large relational databases
- Familiarity with data visualization tools such as Tableau or Power BI
- Demonstrated ability to communicate analytical findings to non-technical stakeholders
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud
Data Science Analyst Jobs in Pennsylvania: Frequently Asked Questions
How do you become a data science analyst in Pennsylvania?
Data science analyst is not a state-licensed occupation in Pennsylvania, so there is no required board exam or registration. Most employers in Philadelphia, Pittsburgh, and Harrisburg hire candidates with at least a bachelor's degree in data science, statistics, mathematics, or computer science. Earning a vendor-recognized certification in a tool like Tableau, AWS, or Microsoft Azure strengthens applications considerably. Pennsylvania universities including Drexel, Carnegie Mellon, and Penn State produce graduates employers actively recruit.
How much do data science analysts make in Pennsylvania?
Data science analysts 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 analysts in Pennsylvania?
Employers hiring data science analysts in Pennsylvania right now include BNY, CSL, and MSD, based on current listings on Migrate Mate as of October 2026. Pennsylvania's large financial services, healthcare, and insurance sectors mean demand is steady across both Philadelphia's corporate corridor and Pittsburgh's growing technology community.
Which Pennsylvania cities have the most data science analyst jobs?
Pittsburgh, Philadelphia, and Erie account for the most data science analyst openings in Pennsylvania. Philadelphia drives volume through its density of insurance carriers, major health systems, and financial institutions, while Pittsburgh's strength in technology and robotics research anchors demand there, and smaller markets like Harrisburg see consistent openings tied to state government agencies and regional healthcare networks.
Are there remote data science analyst jobs in Pennsylvania?
Yes, and more than most fields. About 50% of data science analyst openings tied to Pennsylvania are remote or hybrid as of October 2026, reflecting how naturally desk-based and tool-driven this work is. Modeling, reporting, and exploratory analysis roles are the most likely to be posted as fully remote, while positions involving embedded team collaboration or client-facing work in Philadelphia or Pittsburgh more often require on-site presence.
How can I get hired as a data science analyst in Pennsylvania with little or no experience?
The most realistic entry path is applying for junior analyst or data analyst associate roles at Pennsylvania's large health systems and financial institutions, many of which run structured new-graduate programs. Independence Blue Cross, UPMC, and PNC Financial Services have each run rotational or associate analyst programs that accept candidates without prior professional experience. Building a portfolio of projects in Python or R and completing a recognized certification in Tableau or SQL also distinguishes early-career applicants to Pennsylvania employers who list these tools as preferred rather than required.
Where can I find and apply to data science analyst jobs in Pennsylvania?
You can find and apply to data science analyst jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings across Philadelphia, Pittsburgh, Harrisburg, and surrounding areas. Search the listings for roles that match your background and apply directly to the ones that fit.
See All 24 Data Science Analyst Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Data Science Analyst Jobs