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Remote Actuarial Data Scientist Jobs in Indiana (NOW HIRING)

Authenticx

Data Scientist

Indianapolis, IN · On-site +1

As a Data Scientist at A uthenticx , your responsibilities will include: * Utilizing Python, SQL ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

CSAA

Conducts actuarially sound statistical analysis by selecting appropriate data sources and making ... BA/BS in statistics, mathematics, actuarial science or related area and 7+ years of post-bachelor ...

Authenticx

Data Scientist

Indianapolis, IN · Remote

As a Data Scientist at A uthenticx , your responsibilities will include: * Utilizing Python, SQL ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

Toptal

This is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English. Responsibilities * Act as the founding Data Scientist on the product ...

Sedgwick

Principal Data Scientist

Indianapolis, IN · On-site +1

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Relativity

Senior Applied Scientist

Indianapolis, IN · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

UMB Bank

AI Data Architect

Indianapolis, IN · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Partner with AI engineers, data scientists, and business leaders to align data architecture with ...

Alignerr

Principal Clinical Scientist

Indianapolis, IN · Remote

... clinical data and analyses powering next-generation AI systems meet the same exacting standards ... This is a fully remote, flexible contract role built for experienced clinical scientists who want ...

Powers Health

Associate Data Analyst

Munster, IN · Remote

The position is remote, but you need to live locally to come onsite periodically for meetings. Required Skills & Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

Powers Health

Associate Data Analyst

Munster, IN · Remote

The position is remote, but you need to live locally to come onsite periodically for meetings. Required Skills & Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

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All JobsRemote Actuarial Data Scientist JobsRemote Actuarial Data Scientist Jobs in Indiana

Remote Actuarial Data Scientist information

What is the difference between Remote Actuarial Data Scientist vs Remote Data Analyst?

AspectRemote Actuarial Data Scientist
Required CredentialsActuarial exams, data science skills, advanced degrees (e.g., statistics, mathematics)
Work EnvironmentInsurance, finance, or risk management companies, often in remote or hybrid settings
Employer & Industry UsagePrimarily in insurance and financial sectors, combining actuarial and data science roles
Common Search & ComparisonOften compared for roles involving risk modeling, predictive analytics, and insurance data analysis

The Remote Actuarial Data Scientist combines actuarial credentials with data science expertise to analyze insurance risks and develop predictive models. In contrast, a Remote Data Analyst typically focuses on interpreting data sets to support business decisions without specialized actuarial exams. While both roles involve data analysis, the actuarial data scientist emphasizes risk assessment and insurance industry knowledge, often requiring actuarial certifications.

What are the most commonly searched types of Actuarial Data Scientist jobs in Indiana? The most popular types of Actuarial Data Scientist jobs in Indiana are:
What are popular job titles related to Remote Actuarial Data Scientist jobs in Indiana? For Remote Actuarial Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Actuarial Data Scientist jobs in Indiana look for? The top searched job categories for Remote Actuarial Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Remote Actuarial Data Scientist jobs? Cities in Indiana with the most Remote Actuarial Data Scientist job openings:
Remote Actuarial Data Scientist jobs near you
Infographic showing various Remote Actuarial Data Scientist job openings in Indiana as of May 2026, with employment types broken down into 1% Internship, 8% Full Time, 71% Part Time, 19% Contract, and 1% Nights. Highlights an 78% Physical, and 22% Remote job distribution.

Data Scientist

Authenticx

Indianapolis, IN • On-site, Remote

Full-time

Posted 17 days ago

Job description

Position Summary
Our ideal candidate will spend most of the time developing machine learning models using natural language process that will be integrated into our automated processes. This role is ideal for an engineer eager to grow and contribute to scalable, reliable services in a mission-driven environment. You will work alongside experienced engineers who deliver production grade models into our SaaS platform in a highly regulated environment. Your responsibility will be to build and train models, deploy model pipelines, and implement a variety of algorithms to extract insights from unstructured data. If needed, you will also troubleshoot and provide technical solutions to resolve issues. Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too.
As a Data Scientist at Authenticx, your responsibilities will include:
  • Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics.
  • Analyzing structured and unstructured data and building predictive models using a variety of approaches.
  • Searching through large data sets and transforming data for analysis
  • Creating reports and presentations to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
  • Document and maintain codebase standards, contributing to ongoing quality and reliability improvements.

Key Metrics
  • Delivery of assigned feature work on time and within quality standards.
  • Consistent adherence to code review and documentation standards.
  • Resolution of assigned defects and production issues within established SLAs.
  • Contribution to overall system reliability, uptime, and performance goals.
  • Demonstrated growth in technical proficiency and cross-team collaboration.

Qualifications
The ideal Data Scientists possesses the following skills & qualifications:
Basic Qualifications:
  • S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field
  • 2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI.
  • Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing
  • Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)
  • Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)
  • Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)
  • Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)
  • Experience with SQL, databases, and other data management tools
  • Ability to work independently and with team members from different backgrounds
  • Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
  • Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns

Preferred Qualifications:
  • Software-as-a-service (SaaS) and/or healthcare industry experience
  • Familiarity with Cloud Technologies, Docker, and Kubernetes.
  • Experience with tools for experiment tracking and model management.
  • Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.
  • Experience with Agentic models and workflows is a plus.

Work Environment
  • This is a remote/virtual position.
  • You must live in the United States of America.
  • You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.
  • Occasional travel to Indianapolis may be required (approximately 2-4 times per year) based on business needs.

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