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Data Science Junior Jobs in Indiana (NOW HIRING)

Provide technical leadership and mentorship by guiding junior scientists, leading crossfunctional ... PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

... or applied data science. * Expertise in developing, deploying, and securing AI/ML applications ... Proven ability to lead complex technical efforts, mentor junior engineers, and interface with ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

... or applied data science. * Expertise in developing, deploying, and securing AI/ML applications ... Proven ability to lead complex technical efforts, mentor junior engineers, and interface with ...

Physical Sciences Research; Platform Lifecycle Support; and Foreign Military Sales. Unified by ... Analyze test data, troubleshoot anomalies, and assist with fault isolation and failure analysis.

Physical Sciences Research; Platform Lifecycle Support; and Foreign Military Sales. Unified by ... Analyze test data, troubleshoot anomalies, and assist with fault isolation and failure analysis.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

The scientist will apply and mentor Jr. Scientists in technical knowledge, creativity, and company ... Provides analysis, evaluation and initial interpretation of varied data including technical ...

The scientist will apply and mentor Jr. Scientists in technical knowledge, creativity, and company ... Provides analysis, evaluation and initial interpretation of varied data including technical ...

Showing results 21-40

Data Science Junior information

See Indiana salary details

$32.8K

$75.5K

$121.3K

How much do data science junior jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science junior in Indiana is $75,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $77,600.00 per year, depending on experience, location, and employer.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What are the key skills and qualifications needed to thrive as a data science junior?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

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 Data Science Junior jobs?

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

Infographic showing various Data Science Junior 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,508 per year, or $36.3 per hour.

Advisor R&D

Elanco

Indianapolis, IN • On-site

Full-time

Retirement, PTO

Posted 22 days ago


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical


Job description

At Elanco (NYSE: ELAN) - it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals' lives better makes life better - join our team today!

Senior Machine Learning & Computer Vision Scientist - R&D

Your Role:
As the Senior Machine Learning & Computer Vision Scientist, you will accelerate Elanco's R&D portfolio by turning proprietary scientific data into predictive models that guide drug discovery and development decisions. You will partner with discovery and development scientists to build machine learning and computervision models on molecular, in vitro, ADMET, and imaging data to support target identification, molecular optimization, digital biomarkers, and endpoint prediction for animal health.

Your Responsibilities:

  • Lead ML/CV work for key R&D programs, partnering with scientists to turn target identification, molecular optimization, in vitro analysis, ADMET, and biomarker questions into modeling problems with clear success criteria.
  • Design, build, and validate advanced ML and computervision models-including CNNs, transformers, graph neural networks, and generative approaches-on multimodal data (molecular, assay, imaging, behavioral) to deliver reliable predictions and classifications.
  • Shape data collection, annotation, and synthetic data usage by working with experimental teams on capture protocols, labeling standards, and quality checks; evaluate synthetic data and augmentation to strengthen sparse datasets while managing bias and risk.
  • Operationalize models in R&D workflows by integrating them with tools used by scientists-including building and deploying models in Databricks-and influencing standards for reproducibility, documentation, monitoring, and model governance.
  • Provide technical leadership and mentorship by guiding junior scientists, leading crossfunctional modeling initiatives, and clearly communicating technical concepts and results to diverse stakeholders.

What You Need to Succeed (minimum qualifications):

  • Education & baseline experience: PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics, Computational Chemistry), or a Master's degree with substantial handson ML/CV experience.
  • Applied ML/CV experience: 7+ years of industry experience building and deploying ML and computervision models for scientific problems in biomedical, pharmaceutical, or related domains, with demonstrated impact and close collaboration with wetlab or clinical teams.
  • Technical and collaboration skills: Strong Python skills and proficiency with modern ML/CV libraries (e.g., PyTorch, TensorFlow, scikitlearn, OpenCV), solid understanding of statistics and experimental design, and proven ability to work and communicate effectively in crossfunctional, matrixed environments.

What will give you a competitive edge (preferred qualifications):

  • Domain expertise and impact: Experience in animal health, pharmaceutical, or biotech R&D, with a record of impactful ML/CV applications (e.g., chemoinformatics, bioinformatics, digital biomarkers) shown through projects, publications, or patents.
  • Advanced technical depth and platforms: Handson expertise with methods such as neural networks and generative models, plus practical experience operationalizing models using Databricks and MLOps tools in productionlike or scaled environments.
  • Leadership and influence: Demonstrated success leading crossfunctional teams, mentoring junior scientists, and influencing scientific and technical decisions in complex, global organizations.

Additional Information:

  • Travel: Up to 10%
  • Location: Indianapolis, IN, USA

Don't meet every single requirement?Studies have shown underrepresented groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks:

We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against jobrelated criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

#LI-RH1

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against jobrelated criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.


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