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Intern Data Science Insurance Jobs in High Bridge, NJ

Cynet Systems

Senior Data Scientist

Raritan, NJ · On-site

$50 - $55/hr

Senior Data Scientist Job Location: Raritan, NJ Job Type: Contract Job Overview: Pay Range: $50 ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

CYNET SYSTEMS

Senior Data Scientist

Raritan, NJ · On-site

$50 - $55/hr

Certified Data Scientist (CDS). * TensorFlow Developer Certificate. * Professional Data Engineer ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

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All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in High Bridge, NJ

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How much do intern data science insurance jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for intern data science insurance in High Bridge, NJ is $23.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $25.48 per hour, depending on experience, location, and employer.

What does an intern data science insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What types of projects can an intern data science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

What are the key skills and qualifications needed to thrive as an intern data science insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What cities near High Bridge, NJ are hiring for Intern Data Science Insurance jobs?

Cities near High Bridge, NJ with the most Intern Data Science Insurance job openings:

Intern Data Science Insurance jobs near you
Infographic showing various Intern Data Science Insurance job openings in High Bridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $48,625 per year, or $23.4 per hour.

Senior Data Scientist, Biologics Discovery

Scorpion Therapeutics

Raritan, NJ • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

About The Opportunity

Senior Data Scientist (Biologics Discovery) within Data, Data Science & AI (DDSAI), partnering with In Silico Discovery (ISD). Build data-facing ML capabilities (featurization, model-ready datasets, evaluation frameworks, applied models on assay and sequence data) to make ISD’s molecular property 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 that keep models trustworthy. Shape how AI learns from every biologics experiment.

Key Responsibilities
  • Develop featurization and model-ready datasets from antibody/protein sequence, construct, assay, and biophysical data.
  • Collaborate with data engineers to define features/labels/aggregation levels; preserve raw representations.
  • Curate, document, and version datasets for reproducibility and traceability.
  • Partner with ISD to hand off standardized, traceable training datasets; align ownership boundaries.
  • Frame ML problems around real decision points in the design-make-test-learn (DMTL) cycle.
  • Work with ontology and MLOps teams to ensure consistent semantics and reliable model movement into use.
  • Champion reproducibility, documentation, and responsible AI.
Qualifications
  • Required: Master's/PhD (CS/ML/Computational Biology/Bioinformatics/Statistics or related); 2+ years applied ML (model development/evaluation/dataset curation) on scientific/biomedical data; Python (PyTorch/scikit-learn) and SQL; experience with heterogeneous experimental data features/training sets; understanding of evaluation/validation, leakage, and distribution shift; collaboration in matrixed R&D.
  • Preferred: Biologics/antibody-protein/protein language models; active learning/Bayesian optimization/generative sequence models; familiarity with biophysical/assay data and developability endpoints; MLOps/experiment tracking/model monitoring; ontologies/knowledge graphs for AI-ready datasets.
Compensation & Benefits (as stated)
  • Anticipated base pay: $109,000-$174,800;
  • annual performance bonus eligibility;
  • medical/dental/vision/life insurance and disability;
  • 401(k)/pension;
  • time off: vacation up to 120 hours/year, sick up to 40 hours/year, floating/holiday pay up to 13 days/year (plus Work/Personal/Family time up to 40 hours/year).
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