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Weekend Data Science Jobs in Indiana (NOW HIRING)

Associate Data Scientist

Fort Wayne, IN

$58K - $58K/yr

Analyze statistical data on large sets and identify trends by using advanced mathematical and computer science skills. * Execute the production of statistical models, tools, and processes. * Write ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Analyze statistical data on large sets and identify trends by using advanced mathematical and computer science skills. * Execute the production of statistical models, tools, and processes. * Write ...

Data Scientist Senior

Indianapolis, IN · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Data Science, Biostatistics, or related field of study. * Five (5) years of experience in ...

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING * 3-6 years of experience in data science, GIS, or a related field * Strong proficiency in ...

Data Scientist Analyst

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including ...

... a Data Scientist to provide engineering and technical support to assist our government customer ... Science and Technology (S&T) community. Products will support algorithm development on Unmanned ...

Data Scientist Location: Columbus, IN Duration: 9 weeks Primary Skills: this is a fixed fee project ... Education Requirements MINIMUM MSc in Statistics, Mathematics, Computer Science; PhD preferred ...

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING * 3-6 years of experience in data science, GIS, or a related field * Strong proficiency in ...

Principal Data Scientist - FCAS

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ... more years predictive modeling experience in another industry. Education, Certifications ...

New

Principal Data Scientist - FCAS

Evansville, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ... more years predictive modeling experience in another industry. Education, Certifications ...

New

Principal Data Scientist - FCAS

Carmel, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or ... more years predictive modeling experience in another industry. Education, Certifications ...

New

Payer Healthcare Data Scientist, Manager

Indianapolis, IN · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Business, Marketing, Healthcare Administration, Data Science, or a related discipline. * Proficiency in SQL, Excel, and at least one statistical programming language (Python or R)

Data Scientist Analyst

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...

Showing results 21-40

Weekend Data Science information

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Indiana?

The most popular types of Data Science jobs in Indiana are:

What cities in Indiana are hiring for Weekend Data Science jobs?

Cities in Indiana with the most Weekend Data Science job openings:

Data Scientist - AI & Agentic Solutions

Aunalytics

South Bend, IN

Full-time

Re-posted 7 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