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Entry Level Data Science Insurance Jobs in Philadelphia, PA

Pwc

AI & GenAI Data Scientist - Manager

Philadelphia, PA

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

... insurance (for individual, families, and domestic partners). Employees are eligible for our ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

... insurance (for individual, families, and domestic partners). Employees are eligible for our ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

... insurance (for individual, families, and domestic partners). Employees are eligible for our ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

The Campbell's Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

... insurance (for individual, families, and domestic partners). Employees are eligible for our ... Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.

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All JobsData Science Insurance JobsEntry Level Data Science Insurance JobsEntry Level Data Science Insurance Jobs in Philadelphia, PA

Entry Level Data Science Insurance information

See Philadelphia, PA salary details

$10

$19

$27

How much do entry level data science insurance jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level data science insurance in Philadelphia, PA is $19.23, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.59 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Science Insurance vs Entry Level Actuarial Analyst?

AspectEntry Level Data Science InsuranceEntry Level Actuarial Analyst
Required CredentialsBasic programming, statistics, and data analysis skills; often a bachelor's degree in data science, statistics, or related fieldsActuarial exams, strong mathematics, statistics, and finance knowledge; typically a bachelor's degree in mathematics, statistics, or actuarial science
Work EnvironmentData analysis, modeling, and predictive analytics within insurance companies or consulting firmsCalculations, risk assessment, and financial modeling primarily in insurance companies or consulting firms
Industry UsageGrowing use of data science techniques in insurance for customer insights and risk modelingTraditional actuarial work focused on risk assessment, pricing, and reserving

While both roles involve working in the insurance industry, Entry Level Data Science Insurance focuses on data analysis and predictive modeling using programming skills, whereas Entry Level Actuarial Analyst emphasizes mathematical modeling and risk assessment through actuarial exams and finance knowledge.

What are the most commonly searched types of Data Science Insurance jobs in Philadelphia, PA?

The most popular types of Data Science Insurance jobs in Philadelphia, PA are:

What are popular job titles related to Entry Level Data Science Insurance jobs in Philadelphia, PA?

For Entry Level Data Science Insurance jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science Insurance jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Data Science Insurance jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Entry Level Data Science Insurance jobs?

Cities near Philadelphia, PA with the most Entry Level Data Science Insurance job openings:

Entry Level Data Science Insurance jobs near you
Infographic showing various Entry Level Data Science Insurance job openings in Philadelphia, PA as of September 2026, with employment types broken down into 11% Internship, 50% Full Time, 27% Part Time, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,989 per year, or $19.2 per hour.

Senior Data Scientist, Biologics Discovery

Spring House, PA • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

About The Opportunity

Senior Data Scientist (Biologics Discovery) on Data, Data Science & Artificial Intelligence (DDSAI), partnering with In Silico Discovery (ISD) to build data-facing ML capabilities that make ISD molecular models faster and more trustworthy.

Position Summary

Design featurization and dataset curation, build/evaluate applied models on biologics assay, biophysical, and sequence/construct data, and define evaluation frameworks to keep models trustworthy.

Key Responsibilities
  • Develop featurization and model-ready datasets from antibody/protein sequence, construct, assay, and biophysical data.
  • Specify features/labels/aggregation levels with data engineers; preserve raw representations where needed.
  • Curate, document, and version datasets for reproducibility/traceability.
  • Collaborate with ISD on standardized, traceable training datasets and DS vs. ISD ownership boundaries.
  • Partner with discovery scientists to frame ML around real decision points in the DMTL cycle.
  • Work with ontology and MLOps colleagues to align dataset semantics and reliable model deployment.
  • Champion reproducibility, documentation, and responsible AI.
QualificationsRequired
  • Master’s or Ph.D. in CS/ML/Computational Biology/Bioinformatics/Statistics (or related).
  • 2+ years applied ML (development, evaluation, dataset curation) on complex scientific/biomedical data.
  • Proficiency in Python (PyTorch, scikit-learn) and SQL.
  • Experience converting heterogeneous experimental data into robust features/training sets; exposure to cloud training/data infrastructure.
  • Knowledge of evaluation/validation and risks of leakage and distribution shift.
  • Ability to collaborate in matrixed R&D.
Preferred
  • Biologics/antibody or protein language models.
  • Active learning, Bayesian optimization, sequence-based generative models for molecular design.
  • Familiarity with biophysical/assay data and developability endpoints.
  • MLOps, experiment tracking, model monitoring.
  • Ontologies/knowledge graphs for data reuse and AI-ready datasets.
Location/Work

Spring House, PA (strongly preferred), Titusville, NJ, Raritan, NJ, or Madrid, Spain; no remote option.

Compensation & Benefits (explicit)
  • Anticipated base pay range: $109,000-$174,800; eligible for annual performance bonus.
  • Benefits include medical/dental/vision, life insurance, short-/long-term disability, retirement plan/401(k), and time off (vacation up to 120 hrs/yr; sick up to 40 hrs/yr; holiday/floating holidays up to 13 days/yr; work/personal/family time up to 40 hrs/yr).
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