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Data Scientist Bank Remote Jobs in Indiana (NOW HIRING)

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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Data Scientist Bank Remote information

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability of remote work depends on the employer's policies and the specific job requirements.

What are the key skills and qualifications needed to thrive as a data scientist in a remote banking role?

To thrive as a Data Scientist in a remote banking role, you need a strong background in statistics, data analysis, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like Certified Analytics Professional (CAP), is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating across teams and explaining complex insights in a remote environment. These skills and qualities are essential for developing secure, data-driven solutions that support banking operations and drive business decisions from a distance.

Can a data scientist work in a bank?

Yes, data scientists can work in banks, where they analyze financial data, develop models for risk assessment, fraud detection, and customer insights. They often use tools like Python, R, and SQL, and may require knowledge of banking regulations and financial concepts.

What does a data scientist do at a bank in a remote role?

A Data Scientist working remotely for a bank analyzes large sets of financial and customer data to identify trends, build predictive models, and support strategic decision-making. Their tasks often include developing algorithms to detect fraud, improve risk assessment, personalize banking products, and optimize operations. Remote data scientists use tools like Python, SQL, and machine learning frameworks to collaborate with cross-functional teams virtually, ensuring security and compliance with financial regulations.

How does a remote data scientist at a bank typically collaborate with cross-functional teams?

As a remote Data Scientist in a banking environment, you will regularly collaborate with cross-functional teams such as risk management, IT, product development, and regulatory compliance. Communication is often facilitated through digital collaboration tools and regular virtual meetings, where you'll discuss project requirements, share insights from your analyses, and align on data-driven strategies. Successful remote collaboration requires proactive communication, clear documentation, and strong teamwork skills to ensure that data solutions are effectively integrated into banking operations and support business objectives.

What are popular job titles related to Data Scientist Bank Remote jobs in Indiana?

For Data Scientist Bank Remote jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Scientist Bank Remote jobs in Indiana look for?

The top searched job categories for Data Scientist Bank Remote jobs in Indiana are:

What cities in Indiana are hiring for Data Scientist Bank Remote jobs?

Cities in Indiana with the most Data Scientist Bank Remote job openings:

Data Scientist Bank Remote jobs near you
Infographic showing various Data Scientist Bank Remote job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Carmel, IN • Remote

$80 - $110/hr

Part-time

Posted 10 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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