Data Science Lead Jobs in Pennsylvania
Data Science Lead jobs in Pennsylvania are in strong demand, with concentrated hiring in financial services, healthcare systems, and enterprise technology firms, and openings at every level from senior analyst stepping into a lead role through principal and director-adjacent positions. Philadelphia, Pittsburgh, and the broader Lehigh Valley corridor anchor most of the hiring, with established employers like Comcast, UPMC, and Independence Blue Cross consistently filling data science lead roles. The most sought-after specialties in Pennsylvania include machine learning engineering, healthcare analytics, and NLP applied to insurance and financial risk. 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 Lead Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Data Science Lead JobsData Science Lead Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Data Science Lead 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 lead jobs across Pennsylvania.
- Bachelor's or master's degree in statistics, computer science, or a quantitative field required
- Five or more years of data science experience with at least two in a lead or senior capacity
- Proficiency in Python or R and experience with cloud platforms such as AWS or Azure
- Demonstrated ability to manage and mentor a team of data scientists or analysts
- Experience translating business problems into machine learning models and measurable outcomes
- Familiarity with healthcare, financial services, or enterprise SaaS data environments preferred
Data Science Lead Jobs in Pennsylvania: Frequently Asked Questions
How do you become a data science lead in Pennsylvania?
There is no state-issued license required to work as a data science lead in Pennsylvania. The typical path begins with a bachelor's degree in a quantitative field, followed by several years of hands-on data science work at Pennsylvania employers in sectors like healthcare, insurance, or technology. Progression to a lead role generally requires demonstrating both technical depth and the ability to guide a team, mentor junior staff, and own project outcomes. Graduate degrees and cloud certifications strengthen candidacy at larger Pennsylvania employers.
How much do data science leads make in Pennsylvania?
Data science leads 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 leads in Pennsylvania?
Employers hiring data science leads in Pennsylvania right now include BNY, CSL, and MSD, based on current listings on Migrate Mate as of October 2026. Pennsylvania's large healthcare systems, financial institutions, and enterprise technology companies tend to be the most consistent sources of lead-level data science openings in the state.
Which Pennsylvania cities have the most data science lead jobs?
Pittsburgh, Philadelphia, and Erie account for the largest share of data science lead openings in Pennsylvania. Philadelphia drives volume through its concentration of major insurers, health systems, and financial services firms, while Pittsburgh's strength in academic medical research and technology draws consistent demand, and smaller markets often reflect the presence of a single large anchor employer or corporate campus in the area.
Are there remote data science lead jobs in Pennsylvania?
Yes, and more than most fields. Data science lead work is predominantly desk-based and output-driven, making it well suited to remote and hybrid arrangements. About 50% of data science lead openings tied to Pennsylvania are remote or hybrid as of October 2026, reflecting how broadly employers have accepted distributed models for this role. The most fully remote positions tend to sit within modeling, analytics strategy, and machine learning pipeline work, where in-person presence is rarely operationally necessary.
How can I get hired as a data science lead in Pennsylvania with little or no experience?
The most realistic entry path is moving into a data scientist or senior analyst role first and building toward a lead designation over time. Large Pennsylvania employers like UPMC, Comcast, and Independence Blue Cross run rotational analytics programs and new-grad tracks that place candidates in structured data teams where mentorship and promotion are built in. Adjacent roles such as business intelligence analyst, quantitative analyst, or data engineer frequently serve as lateral entry points. A strong portfolio demonstrating end-to-end project ownership and cloud platform fluency gives candidates from these backgrounds a clear edge in Pennsylvania hiring.
Where can I find and apply to data science lead jobs in Pennsylvania?
You can find and apply to data science lead jobs in Pennsylvania on Migrate Mate, which lists current openings tied to Pennsylvania employers and locations. Search the listings, find roles that match your background and target area, and apply directly to the ones that fit.
See All 24 Data Science Lead Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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