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Freelance Applied Scientist Machine Learning Jobs in Indiana

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... scientific conferences; or any combination of education and experience which would provide an ...

New

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site

$94K - $120K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... scientific conferences; or any combination of education and experience which would provide an ...

New

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Freelance Applied Scientist Machine Learning information

How do freelance applied scientists in machine learning typically collaborate with clients and teams remotely?

Freelance applied scientists in machine learning often work remotely, communicating with clients and teams through regular video calls, messaging platforms, and project management tools. Collaboration usually involves understanding client requirements, clarifying data needs, and providing frequent updates on project progress. Since projects may require input from software engineers, data analysts, or product managers, strong communication skills and the ability to document work clearly are crucial. Freelancers also need to proactively manage their schedules and expectations, as they frequently juggle multiple projects or stakeholders at once.

What are the key skills and qualifications needed to thrive as a freelance applied scientist in machine learning?

To excel as a Freelance Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, typically supported by an advanced degree and strong programming skills in Python or similar languages. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data analysis tools is essential, along with relevant certifications like TensorFlow Developer or AWS Machine Learning. Strong problem-solving abilities, self-motivation, and effective communication are crucial for managing projects independently and collaborating with diverse clients. These skills enable successful delivery of high-impact solutions tailored to client needs, ensuring both technical excellence and client satisfaction.

What does a freelance applied scientist in machine learning do?

A Freelance Applied Scientist in Machine Learning is a professional who independently works with clients or organizations to design, develop, and implement machine learning models and solutions. Their responsibilities typically include data analysis, building predictive models, and translating business problems into data-driven solutions. They may also be involved in researching new algorithms, optimizing existing models, and communicating findings to stakeholders. Since they work on a freelance basis, they often manage multiple projects and clients simultaneously.

What is the difference between Freelance Applied Scientist Machine Learning vs Freelance Data Scientist?

AspectFreelance Applied Scientist Machine LearningFreelance Data Scientist
CredentialsAdvanced degrees in ML, AI, or related fieldsDegrees in Data Science, Statistics, or related fields
Work EnvironmentFocus on developing ML models, algorithms, and AI solutionsData analysis, visualization, and statistical modeling
Industry UsageUsed in AI-driven products, research, and advanced analyticsApplied in business insights, reporting, and data-driven decision making

Freelance Applied Scientist Machine Learning professionals specialize in developing and deploying machine learning models and AI solutions, often requiring advanced technical credentials. Freelance Data Scientists focus on analyzing data, creating reports, and deriving insights, with a broader scope of statistical skills. Both roles are in high demand but serve different purposes within data and AI projects.

What are the most commonly searched types of Applied Scientist Machine Learning jobs in Indiana?

The most popular types of Applied Scientist Machine Learning jobs in Indiana are:

What are popular job titles related to Freelance Applied Scientist Machine Learning jobs in Indiana?

For Freelance Applied Scientist Machine Learning jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Freelance Applied Scientist Machine Learning jobs in Indiana look for?

The top searched job categories for Freelance Applied Scientist Machine Learning jobs in Indiana are:

What cities in Indiana are hiring for Freelance Applied Scientist Machine Learning jobs?

Cities in Indiana with the most Freelance Applied Scientist Machine Learning job openings:

Freelance Applied Scientist Machine Learning jobs near you

Data Scientist - AI & Agentic Solutions

Aunalytics

South Bend, IN

Full-time

Re-posted 3 days ago

Job description

Location

South Bend, IN - Hybrid

Type

Full-time

Travel

Occasional, client-dependent

Level

Senior Individual Contributor

About the Role

Aunalytics is a data and AI company. We build the data foundation that makes AI work in the real world, and we pair that technology with the hands-on expertise and guidance our clients need to see business impact. We apply our data and AI approach to IT services and to financial institutions. With well over a decade of experience, a proprietary platform, and a team of data scientists, engineers, and industry experts, we're a trusted partner for midsized businesses across the U.S. We're headquartered in South Bend, IN with offices in Michigan, Ohio, and New Jersey. If you want to do meaningful work at a company where your contributions move the needle for clients, for the business, and for the team around you, you'll fit right in here.

What You'll Do

  • Partner with client leadership teams to identify where AI and AI agents can grow revenue, automate work, and improve customer experience
  • Make data AI-ready — integrate and cleanse disparate data into a foundation that models and agents can use
  • Design, build, and deploy machine learning, generative AI, and agentic workflows (from customer intelligence and lead prioritization to automating manual processes)
  • Build proofs-of-concept and production-ready solutions on the Aunalytics data platform and cloud, integrated with client systems
  • Advise on AI strategy — feasibility, risk, sequencing, and expected ROI — in language leadership can act on.
  • Define success metrics and measure impact, then iterate based on real-world results
  • Communicate clearly to both technical and non-technical audiences, from analysts to the C-suite
  • Handle regulated data responsibly, in line with client compliance requirements (SOC 2, PCI, GLBA, and HIPAA where applicable)
  • Stay current on the fast-moving AI, LLM, and agent landscape, and bring the best of it to engagements

What You'll Bring

Required

  • A PhD in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or similar) — preferred; OR a Master's degree in a related field plus 5+ years of applied data science experience
  • Strong applied machine learning skills and fluency in Python and common data science / ML libraries
  • Hands-on experience with LLMs and agentic / generative AI — building real applications with techniques like RAG, prompt engineering, agent frameworks, and orchestration
  • A track record of taking problems from ambiguity to deployed solution, not just prototypes
  • Excellent communication and stakeholder skills — you're comfortable advising and influencing senior leaders
  • Comfort juggling multiple concurrent engagements and shifting context between clients

Nice to Have

  • Prior consulting or client-facing experience.
  • Working knowledge of data governance and compliance frameworks (SOC 2, PCI, GLBA, HIPAA)

Why Aunalytics

  • Real impact. Your work directly shapes how multiple purpose-driven, midsized organizations operate and grow.
  • Variety. Different clients, different problems — you work alongside data scientists and industry experts, not in a silo.
  • Frontier work. Applied AI and agents in real, regulated production environments
  • Purpose and community. A South Bend-rooted company that believes an inclusive, diverse team does the best work

Apply