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Azure Data Scientist Jobs in Indiana (NOW HIRING)

Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to ... Azure, or equivalent) * Experience integrating multi-source data (structured, semi-structured ...

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Partnering with data scientists, engineers, and technology teams to integrate AI into real-time and ... Azure Data Factory & Azure Machine Learning Studio * MLflow and model lifecycle management * OpenAI ...

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

A bachelor's degree in computer science, data science, software engineering, or related field (R ... Familiarity with cloud-based data platforms such as Azure for data storage and processing;

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Azure-native data workloads * Familiarity with LangChain, semantic chunking strategies, or embedding model selection for domain-specific scientific document retrieval * Experience with Microsoft ...

Showing results 41-60

Azure Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do azure data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for azure data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Data Scientist?

To thrive as an Azure Data Scientist, you need strong skills in statistics, machine learning, and data analysis, often supported by a degree in computer science or a related field. Experience with Microsoft Azure cloud services, such as Azure Machine Learning and Data Factory, along with certifications like Azure Data Scientist Associate, are highly valuable. Effective communication, problem-solving, and collaboration are essential soft skills for working in cross-functional teams and presenting insights to stakeholders. These abilities ensure you can efficiently develop, deploy, and optimize data-driven solutions that meet business objectives in a cloud-based environment.

How much do Azure Data Scientists make?

Azure Data Scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and certifications. Professionals with advanced skills in machine learning, cloud platforms, and data analysis tools tend to earn higher salaries.

What is an Azure Data Scientist?

An Azure Data Scientist is responsible for designing, developing, and deploying machine learning models and AI solutions using Microsoft Azure's cloud services. They work with large datasets, utilize Azure Machine Learning, Databricks, and other Azure AI tools to extract insights and drive business decisions. Their role involves data preprocessing, feature engineering, model training, and performance optimization. Additionally, they collaborate with data engineers and analysts to integrate models into production environments and ensure scalability and reliability.

What does an Azure Data Scientist do?

As an Azure Data Scientist, your typical day involves working with large datasets hosted on Azure, building and training machine learning models using Azure Machine Learning, and collaborating with data engineers and business analysts. You will be responsible for cleaning and preprocessing data, selecting appropriate model architectures, monitoring model performance, and deploying solutions to production environments in the Azure cloud. Regular communication with stakeholders and team members is crucial to understand project goals and translate business problems into data-driven solutions. This role combines hands-on technical work with ongoing learning and cross-team collaboration in a dynamic, fast-paced environment.

What are the most commonly searched types of Azure Data Scientist jobs in Indiana? The most popular types of Azure Data Scientist jobs in Indiana are:
What job categories do people searching Azure Data Scientist jobs in Indiana look for? The top searched job categories for Azure Data Scientist jobs in Indiana are:
Infographic showing various Azure Data Scientist 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte

Indianapolis, IN • On-site

Full-time

Re-posted 18 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 150 rated financial services


Job description

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 10th 2026.

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

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
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

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 $102,500 to $188,900.

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:

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 10th 2026.

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

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
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

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 $102,500 to $188,900.

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.

Education:Bachelor's DegreeEmployment Type:

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