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Senior Data Scientist Jobs in Indiana (NOW HIRING)

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand ...

In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand ...

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into ...

As a Senior Data Scientist in our Commercial & Marketing Intelligence team at Flix, you can make an impact by owning and evolving our causal measurement practice -- designing and running experiments ...

New

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location at 220 Virginia Avenue, Indianapolis, IN 46204. This role requires associates ...

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location at 220 Virginia Avenue, Indianapolis, IN 46204. This role requires associates ...

Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location at 220 Virginia Avenue, Indianapolis, IN 46204. This role requires associates to be in-office 1 - 2 ...

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Data Scientist Hybrid - Indianapolis, IN About the Role We are seeking a Data Scientist with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team.

Data Scientist

Warsaw, IN · On-site

$85.37 - $96.85/hr

Data Scientist The Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of ...

New

Expert Data Scientist

Indianapolis, IN · On-site

$129K - $240K/yr

The Position The Opportunity As a Data Scientist, you will position data science as a key competency within the enterprise and be responsible for creating value from data assets using advanced ...

Expert Data Scientist

Indianapolis, IN · On-site

$129 - $240/hr

The Position The Opportunity As a Data Scientist, you will position data science as a key competency within the enterprise and be responsible for creating value from data assets using advanced ...

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Showing results 1-20

Senior Data Scientist information

See Indiana salary details

$39.5K

$135.6K

$191.3K

How much do senior data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data scientist in Indiana is $135,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What are the key skills and qualifications needed to thrive as a senior data scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. They often have advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R.
More about Senior Data Scientist jobs

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

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

What cities in Indiana are hiring for Senior Data Scientist jobs?

Cities in Indiana with the most Senior Data Scientist job openings:

What are popular job titles related to Senior Data Scientist jobs in IN?

For Senior Data Scientist jobs in IN, the most frequently searched job titles are:

Infographic showing various Senior Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $135,560 per year, or $65.2 per hour.

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Indianapolis, IN

Full-time

Re-posted 2 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individu...


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