Data Scientist
Data science internship job in Indianapolis, IN
We are seeking a Junior Data Scientist to join our large Utility client in downtown Indianapolis. This position will be hired as a Full-Time employee. This entry-level position is perfect for individuals eager to tackle real-world energy challenges through data exploration, predictive modeling, and collaborative problem-solving. As part of our team, you'll work closely with seasoned data scientists, analysts, architects, engineers, and governance specialists to generate insights that power smarter decisions and help shape the future of energy.
Key Responsibilities
Partner cross-functionally with data scientists, data architects and engineers, machine learning engineers, data analysts, and data governance experts to deliver integrated data solutions.
Collaborate with business stakeholders and analysts to define clear project requirements.
Collect, clean, and preprocess both structured and unstructured data from utility systems (e.g., meter data, customer data).
Conduct exploratory data analysis to uncover trends, anomalies, and opportunities to enhance grid operations and customer service.
Apply traditional machine learning techniques and generative AI tools to build predictive models that address utility-focused challenges, particularly in the customer domain (e.g., outage restoration, program adoption, revenue assurance).
Present insights to internal stakeholders in a clear, compelling format, including data visualizations that drive predictive decision-making.
Document methodologies, workflows, and results to ensure transparency and reproducibility.
Serve as a champion of data and AI across all levels of the client's US Utilities organization.
Stay informed on emerging industry trends in utility analytics and machine learning.
Requirements
Bachelor's degree in data science, statistics, computer science, engineering, or a related field. Master's degree or Ph.D. is preferred.
1-3 years of experience in a data science or analytics role.
Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc.
Proficiency in Python or R, with experience using libraries such as pandas, NumPy, and scikit-learn.
Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc.
Familiarity with generative AI tools and techniques, including large language models (LLMs) and Retrieval-Augmented Generation (RAG), with an understanding of how these can be applied to enhance contextual relevance and integrate enterprise data into intelligent workflows.
Proficiency in SQL, with experience writing complex queries and working with relational data structures. Google BigQuery experience is preferred, including the use of views, tables, materialized views, stored procedures, etc.
Proficient in Git for version control, including repository management, branching, merging, and collaborating on code and notebooks in data science projects. Experience integrating Git with CI/CD pipelines to automate testing and deployment is preferred.
Experience with cloud computing platforms (GCP preferred).
Ability to manage multiple priorities in a fast-paced environment.
Interest in learning more about the customer-facing side of the utility industry.
Compensation: Up to $130,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.
Systems Data Analyst
Data science internship job in Indianapolis, IN
Beacon Hill Technologies is seeking proactive, data-driven analyst with strong initiative-someone who can expand on existing frameworks, validate data, and independently build tools that elevate team performance. You communicate clearly, think critically, and enjoy transforming complex technical information into meaningful business insights. You thrive in fast-paced environments and are comfortable working hands-on with evolving data systems. This postion is hybrid!
Required Skills:
Bachelor's degree in Information Systems, Business Analytics, IT, or a related field (or equivalent experience).
3-5 years of experience in data analysis, IT operations, or A/V-adjacent environment.
Proficiency with:
Tableau (strongly preferred; team's primary tool)
ServiceNow reporting
Excel (advanced formulas, macros)
Python (especially for Tableau-based scripting)
Experience working with large datasets and multiple data sources.
Ability to validate, test, and ensure data accuracy and integrity.
Strong communication skills; able to translate technical data into clear business insights.
Demonstrated ability to independently build new reports, dashboards, or tools when standard solutions are not available.
Desired Skills:
Experience with Cisco Spaces, digital room utilization analytics, or space-management tools.
Familiarity with A/V environments, technologies, or governance frameworks (big plus, but not required).
Experience developing or managing lifecycle models, performance metrics, or executive-level reporting dashboards.
Knowledge of AI-assisted reporting or automation tools.
Experience with procurement forecasting, budgeting data, or operational strategy analytics.
Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply.
California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: *****************************************
Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.
Company Profile:
Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs.
Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles.
Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting *************
Benefits Information:
Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings.
We look forward to working with you.
Beacon Hill. Employing the Futureâ„¢
Healthcare Business Analyst Intern (Summer 2026) - Indianapolis Health
Data science internship job in Indianapolis, IN
Milliman's Indianapolis Health practice is seeking a Healthcare Business Analyst Intern (Summer 2026). Our Healthcare Business Analyst internship is designed to give up-and-coming business leaders exposure to key data-driven questions in the healthcare field and provide a look into the support we offer our life sciences client teams on a day-to-day basis. You will be part of a dynamic client delivery team and receive mentoring from colleagues on your team. Successful business analyst interns are interested in both solving data-driven problems and forming trusted relationships with our clients and will display a proficiency for communicating technical results to external audiences less familiar with the underlying data.
Responsibilities
In this role, you will:
Utilize your analytical, written, and verbal communication skills to answer data-driven questions on key topics in the healthcare industry
Use complex databases to analyze client data and summarize findings through presentations, spreadsheets, data visualizations, and other reports
Develop and track progress on detailed project plans to serve as a critical communication tool
Show an aptitude for and interest in developing trusted client-facing relationships
Coordinate project reviews and quality assurance procedures
Turn data insights into actionable solutions and strategies to solve complex problems
Communicate outcomes to audiences who are less familiar with the data
Qualifications
Possess a working knowledge of mathematical and statistical concepts, alongside a genuine interest in growing into a client-facing consulting role
Be a naturally curious self-starter and willing to learn when faced with an unfamiliar subject
Be proficient in managing time to ensure successful completion of assigned tasks by deadlines while involved with multiple projects
Passionate about building trusted relationships with both external clients and internal colleagues
Interested in developing a diverse skill set and taking on a variety of responsibilities across projects
Strong presentation, organization, time management skills
Detail-oriented and capable of carrying out tasks independently as part of a cross-functional project team
Required
Currently enrolled in a degree program working toward a Bachelor's degree or higher, with a concentration in a relevant field (e.g., Business Analytics, Statistics, Applied Mathematics)
Experience with Microsoft Excel and PowerPoint, or other similar software, for the analysis and communication of quantitative results
Exposure to performing data analysis using a quantitative software (e.g., Python, R, SAS, SQL)
Internship Highlights
1:1 mentoring
Exposure to senior consultants and practice leaders
Structured opportunities for professional learning and development i.e. Lunch & Learn Series
Guest speaker series covering a wide range of professional development skills
Housing or housing stipend
Social activities - intern-only and practice-wide
Cultural excursions - Get to know Indy by visiting iconic sites
Conclude the program with a presentation on a business project or problem to leadership and peers
Ample opportunity to discuss transitioning to full-time employment
Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.
The Team
The life sciences consulting team is a group of 60+ individuals in the Indianapolis Health practice from varying backgrounds including actuaries, data analysts, pharmacists, and graphic designers. This group works primarily with life sciences companies and consults on their relationship with insurance companies and other stakeholders of the pharmaceutical value chain.
Location
This position is based out of the Milliman office in Indianapolis, IN. Candidates hired into this role must be willing to work onsite full-time.
Who We Are
Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.
Milliman invests in skills training and career development, and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERG's) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our web site ***************************************** to learn more about Milliman's commitments to our people, diversity and inclusion, social impact and sustainability.
Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance and financial services, and property and casualty insurance.
Benefits
We offer competitive benefits which include the following based on plan eligibility:
Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges.
401(k) Plan - When an employee reaches 1,000 hours worked within 12 consecutive months, they become eligible for a 401(k) plan that includes a company matching program and profit-sharing contributions.
Paid Time Off (PTO) - Begins accruing on the first day of work; Interns, Temporary, and Seasonal Employees will earn PTO each pay period, based on 1 hour for every 30 hours worked.
Transportation - Pre-tax savings for eligible transit and parking expenses.
Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
#LI-KM1
#LI-ONSITE
AI GenAI Data Science Internship
Data science internship job in Gas City, IN
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
AI GenAI Data Science Internship Overview:
You will be part of a growing and dynamic Advanced Intelligence (AI) team whose main goal is to develop Generative AI solutions or methods to support business goals through out Lilly.
Responsibilities:
Partner with business teams to identify, scope, and execute Generative AI efforts that answer business questions, solve business needs, and add business value
Maintain a broad understanding of business needs to be fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data
Collaborate with other GenAI team members to review and provide feedback on the GenAI work being done, and be willing to seek feedback from other team members about your own work
Stay current with respect to Generative AI methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
Lilly internships last for 12 continuous weeks beginning in May or June. Each intern will be assigned a project affording the opportunity to actively contribute to the organization and build a comprehensive understanding of the pharmaceutical industry. Professional development and social events will be held throughout the summer. At the conclusion, each intern will present their project highlights, findings, recommendations, and general internship accomplishments to senior leaders and stakeholders.
Requirements:
Currently enrolled in and attending school. PhD student with at least three years of completed graduate work in Computer Science, Computer Engineering, Information Sciences, or closely related field.
Expected graduation by August 2027
Desired Experience:
Deep and broad knowledge of Machine Learning and Generative AI methods and tools
Deep understanding of NLP techniques and systems
Proficiency with Python
Interpersonal communication skills for effective customer consultation
Teamwork and leadership skills
Self-management skills with a focus on results for timely and accurate completion of competing deliverables
Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients
Additional Benefits:
All interns will be considered for full-time positions based on their internship performance and the business need
Lilly arranges various intern activities including sporting events, dinners, lunch and learns, etc. to provide opportunities for socializing, professional development, and learning more about Lilly
Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly's LIFE fitness center and bike garage
If the intern's job position requires a move from another location, Lilly will provide travel arrangements and subsidized housing
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$43,000 - $110,000
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
Auto-ApplyData Scientist (Technical Leadership)
Data science internship job in Indianapolis, IN
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
13. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
15. Masters or Ph.D. Degree in a quantitative field
16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
17. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Scientist, NLP
Data science internship job in Indianapolis, IN
Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
+ Design and develop models to extract entities, detect intents, and understand document structure
+ Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
+ Evaluate model performance where ground truth is partial, uncertain, or evolving
+ Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.
**Qualifications**
+ 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
+ Proficiency with Python
+ Experience with the latest in language models (transformers, LLMs, etc.)
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
+ Industry experience shepherding ML/AI projects from ideation to delivery
+ Demonstrated ability to influence company KPIs with AI
+ Demonstrated ability to navigate ambiguity
**Bonus Experience**
+ Experience with document layout analysis (using vision, NLP, or both).
+ Experience with Spark/PySpark
+ Experience with Databricks
+ Experience in the healthcare industry
**Responsibilities**
+ Play a key role in the success of our products by developing models for document understanding tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**After 3 Months, You Will...**
+ Have a strong grasp of technologies upon which our platform is built.
+ Be fully integrated into ongoing model development efforts with your team.
**After 1 Year, You Will...**
+ Be independent in reading literature and doing research to develop models for new and existing products.
+ Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
+ Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.
\#LI-BC1
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
The estimated total cash compensation range for this role is:
$136,000-$170,000 USD
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .
Data Governance Analyst
Data science internship job in Indianapolis, IN
Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.
We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.
Responsibilities
Job Summary
The Data Governance Analyst will support the development and execution of enterprise-wide data governance initiatives. This role will focus on ensuring the integrity, quality, and protection of data assets through the implementation of governance frameworks, data quality controls, and metadata management practices. The Analyst will work closely with business units, IT, and compliance teams to support the organization's data governance strategy and ensure alignment with regulatory and risk management expectations.
Salary Range
The annual salary range for this position is $60,000.00 - $121,300.00. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled.
Key Accountabilities
Data Governance Operations
* Assist in the implementation and maintenance of the enterprise data governance framework, including policies, standards, and procedures.
* Support the development and execution of data quality rules, issue tracking, and remediation processes.
* Maintain and enhance metadata repositories and data catalogs using tools such as Informatica or Microsoft Purview.
Data Stewardship and Collaboration
* Partner with data owners, stewards, and business units to define and document data definitions, lineage, and usage.
* Facilitate working groups and workshops to gather requirements and promote data governance awareness across the organization.
Risk and Compliance Support
* Monitor and report on data governance metrics, including data quality trends, audit findings, and remediation progress.
* Support internal and external audits by providing documentation and evidence of data governance controls and practices.
Project and Initiative Support
* Contribute to enterprise initiatives such as the Modern Data Platform migration, report certification programs, and regulatory reporting enhancements.
* Participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes.
Qualifications and Education Requirements
* Bachelor's degree in information systems, Business, Risk Management, or a related field.
* 2+ years of experience in data governance, data management, or risk/compliance roles.
* Familiarity with data governance frameworks (e.g., DCAM, NIST Privacy Framework, FFIEC).
* Experience with data quality tools, metadata management platforms, and reporting tools.
* Strong analytical, communication, and collaboration skills.
Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles.
As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, to fill a specific position.
Our culture is firmly rooted in our core values.
We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank.
Join our team!
Auto-ApplyData Analyst
Data science internship job in Indianapolis, IN
Job Description
Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
Help Desk/Data Quality Analyst
Data science internship job in Indianapolis, IN
About Brite Brite Systems is an Information Technology company specializing in consulting and software development. We have successfully implemented solutions for the public and private sectors since 2006. Brite Systems offers competitive benefits such as (but not limited to) group Medical, Dental, Vision, and Life insurance, Paid Leave, 401-K match, etc.
We focus on providing our clients with simplified, innovative technology solutions to improve and streamline the user experience. Brite Systems confidently brings the right people, a customized approach, and a successful track record to each opportunity. If you are looking to be part of a strong, collaborative culture, Brite Systems is the place for you to grow your career.
The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS).
This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes.
Key Responsibilities:
Perform data quality assessments on immunization records, including de-duplication, validation, and standardization.
Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets.
Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.
Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping.
Investigate data anomalies, troubleshoot submission issues, and recommend process improvements.
Document data quality rules, methodologies, and best practices for internal and external stakeholders.
Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.
Perform other duties as assigned.
Brite Systems is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Healthcare Data Analyst
Data science internship job in Zionsville, IN
Full-time, in-house position near Indianapolis
Enjoy turning complex data into actionable insights that make a difference in people's lives? Get fired up analyzing resources to look for patterns and key intel? If so, this might be the role for you!
DKP is looking for a Healthcare Data Analyst to jump into healthcare and biopharma resources to uncover trends in patient access, costs, and insurance coverage. You'll help transform raw data into meaningful stories and strategic guidance.
And most importantly, your work will
help guide strategies for biopharma manufacturers to get life-changing treatments to patients who desperately need them.
WHAT YOU'LL (MOSTLY) DO:
Explore and translate complex data into digestible recommendations for technical and non-technical audiences
Leverage large data sets to understand past, present, and future trends
Perform advanced data mining and modeling using business intelligence tools
Drive revenue growth, client engagement, and business development efforts through data analysis
Develop and implement creative ways to use data for added client value and alignment with DKP's goals, mission, and vision
Collaborate with the entire DKP team to support our clients and high-quality patient outcomes
Qualifications:
Bachelor's degree in healthcare informatics, statistics, business intelligence analytics, or a related field
4+ years of experience in healthcare or biopharma analytics, with an understanding of the payer landscape preferred
High proficiency in Excel, Power Query, and Power BI
and with data analysis tools like SQL, Python, R, SAS, and Tableau.
Excellent ability to research, analyze, and interpret data and complex information
BENEFITS AND PERKS:
Competitive compensation program (salary + bonus)
Employee Stock Ownership Program - become an employee owner!
401K with employer match
Wellness challenges and incentive
Paid PTO, vacation, and charity days
Robust medical, dental, vision benefits
Dogs (well-behaved ones) welcome in the office
Serene office setting surrounded by wooded walking trails
DKP is an award-winning, innovative biopharmaceutical access consulting firm offering strategic reimbursement and market access solutions for rare disease, oncology, and cell and gene therapy manufacturers. Based just outside of Indianapolis (in Zionsville, Indiana), we are a small, employee-owned company that has been wowing clients for 25 years.
Join DKP and make a meaningful impact!
IN - IDOH Help Desk/Data Quality Analyst (778198)
Data science internship job in Indianapolis, IN
Full-time Description
Data Quality Analyst
Indianapolis, IN
Key Responsibilities:
· Perform data quality assessments on immunization records, including de-duplication, validation, and standardization.
· Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets.
· Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.
· Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
· Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping.
· Investigate data anomalies, troubleshoot submission issues, and recommend process improvements.
· Document data quality rules, methodologies, and best practices for internal and external stakeholders.
· Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.
· Perform other duties as assigned.
Requirements
Key Responsibilities:
· Perform data quality assessments on immunization records, including de-duplication, validation, and standardization.
· Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets.
· Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.
· Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
· Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping.
· Investigate data anomalies, troubleshoot submission issues, and recommend process improvements.
· Document data quality rules, methodologies, and best practices for internal and external stakeholders.
· Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.
· Perform other duties as assigned.
Data Analyst - Depot Operations
Data science internship job in Indianapolis, IN
V2X is growing, and we're looking for a Data Analyst to join our team! This role is a critical part of our Manufacturing and Depot Operations (MDO), helping the team harness data to drive operational excellence and improve decision-making. The successful candidate will collect, analyze, and report on data from S4/HANA and other tools to identify opportunities for improvement and support proactive management of key operational areas.
**Responsibilities:**
+ Extract and analyze operational data from S4/HANA and other systems to identify trends, patterns, and insights.
+ Build reports and dashboards to communicate data findings and empower MDO Leadership with meaningful, actionable information.
+ Identify gaps or bottlenecks in operations using data-driven insights, highlighting areas needing attention.
+ Provide analytics support for operational efficiency projects, process improvements, and performance metrics tracking.
+ Proactively research and interpret data to monitor key performance indicators (KPIs) and identify potential risks or opportunities.
**Required Skills:**
+ 1-3 years of experience in a data-focused role OR demonstrable expertise in analyzing large datasets and leveraging ERP systems like S4/HANA.
+ Must be a US Citizen with active US Government Secret Security Clearance or ability to obtain a Secret Clearance.
**Skills & Technology Used:**
+ Advanced knowledge of Excel (e.g., pivot tables, formulas, data models, Power Query, etc.).
+ Experience working with S4/HANA or similar ERP/reporting systems preferred.
**Education / Certifications:**
+ Bachelor's degree in a relevant field (e.g., Data Analytics, Supply Chain Management, Business, Computer Science, or related discipline).
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights (**************************** notice from the Department of Labor.
Data Analyst (758534)
Data science internship job in Indianapolis, IN
Job Description
Data Analyst is responsible forcollecting, processing, and analyzing data to help make data-driven decisions.This role involves working with large datasets, identifying trends, creatingreports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible forcollecting, processing, and analyzing data to help organizations makedata-driven decisions. This role involves working with large datasets,identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize largedatasets from various sources.
Validate and verify data accuracy,consistency, and completeness across various data sources.
Identify and resolve datadiscrepancies, inconsistencies and errors.
Performa routine and ad hoc dataquality checks using automated and manual validation techniques.
Work closely with data entry teams andother analysts and stakeholders to ensure data integrity.
Perform data analysis to identifytrends, patterns, and correlations.
Develop reports, dashboards, andvisualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teamsto support business objectives.
Interpret data to provide strategicrecommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques andpredictive modeling to improve decision-making.
Document processes and methodologiesfor data collection and analysis.
Required Skills & Qualifications:
Bachelors degree in Statistics,Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools suchas SQL, Python, R, or Excel.
Experience with data visualizationtools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solvingskills.
Excellent communication andpresentation abilities.
Ability to work independently and in ateam-oriented environment.
Attention to detail and a strongunderstanding of data governance principles.
Preferred Qualifications:
Experience in machine learning,predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms suchas AWS, Google Cloud, or Azure.
Skill Matrix:
Required / Desired
Amount
of Experience
Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field
Required
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Required
3
Years
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Required
3
Years
Strong analytical and problem-solving skills.
Required
3
Years
Excellent communication and presentation abilities.
Required
3
Years
Ability to work independently and in a team-oriented environment.
Required
3
Years
Attention to detail and a strong understanding of data governance principles.
Required
3
Years
Help Desk/Data Quality Analyst
Data science internship job in Indianapolis, IN
Job Description
Work Arrangement: Hybrid
Engagement Type: Contract
NOTE: Applications with resumes in PDF Format will be automatically rejected. Only Word format resumes will be considered.
Short Description:
The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS).
Complete Description:
Local candidates only.
This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes.
Key Responsibilities:
· Perform data quality assessments on immunization records, including de-duplication, validation, and standardization.
· Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets.
· Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.
· Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
· Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping.
· Investigate data anomalies, troubleshoot submission issues, and recommend process improvements.
· Document data quality rules, methodologies, and best practices for internal and external stakeholders.
· Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.
· Perform other duties as assigned.
Principal Data Scientist
Data science internship job in Indianapolis, IN
Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.
You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.
This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)
This position requires occasional travel to the DC area for client meetings.
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Minimum Requirements:
- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Contribute to the development of mathematically rigorous process improvement procedures.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g. Python, R, etc.).
- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.
- Experience with API programming.
- Experience with Linux.
- Experience with Statistics.
- Experience with Classical Machine Learning.
- Experience working as a contributor on a team.
Preferred Skills and Qualifications:
- Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.).
- Experience developing machine learning or signal processing algorithms:
- Ability to leverage mathematical principles to model new and novel behaviors.
- Ability to leverage statistics to identify true signals from noise or clutter.
- Experience working as an individual contributor in AI.
- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.
- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles.
- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.
- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.
Background Investigations:
- IRS MBI - Eligibility
#techjobs #VeteransPage
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************.
Minimum Salary
$
156,740.00
Maximum Salary
$
234,960.00
Easy ApplyData Coordinator
Data science internship job in Indianapolis, IN
. Must live in the Indianapolis area.
Pay: $27.00/hour
In this role you will:
Assist with data analysis in databases.
Work with oversight staff to help implement the program in Indiana.
Provide training and oversight for participating communities to ensure consistency in the data collection, auditing and reporting processes.
Outreach to potential project partners in local, regional healthcare as well as community-based partnerships.
Work with oversight staff in generating reports and other data requests on schedule.
Coordinate communications and meetings with partners and participating EMS agencies and hospitals.
Responsible for coordinating the daily operational tasks that are needed for the maintenance of participating and future sites.
Troubleshooting database errors and software system issues.
Establish and coordinate the data sharing committee.
Incorporate interpersonal skills in communication with stakeholder personnel, colleagues, and the public.
Collaborate with trauma system stakeholders.
Travel will be required.
Data Analyst Intern
Data science internship job in Indianapolis, IN
**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
**Job Summary**
As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences.
**Job Description**
We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026.
**This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.**
**What** **You'll** **Do**
+ Assist in collecting, processing, and analyzing large datasets to extract meaningful insights
+ Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics
+ Develop and maintain dashboards and reports to communicate findings to stakeholders
+ Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data
+ Support the team in ad hoc analysis and reporting requests
**What** **You'll** **Need**
Required:
+ Current Junior pursuing a degree in Computer Science or a related field
+ Minimum GPA of 3.5 or higher
+ Strong analytical skills and experience with data patterns and trends
+ Excellent critical thinking and problem-solving abilities
+ Familiarity with data analytics tools and techniques
+ Passion for working with data and a keen interest in customer data analysis
Preferred:
+ Understanding data engineering, data warehousing, and ETL processes
+ Familiarity with Python, Java, or Scala
+ Familiarity with Azure data storage
+ Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes.
+ Familiarity with cloud platforms (AWS or Azure,) and related data services
**Physical Demands**
+ Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
+ Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
+ Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
\#DNP
**Reasonable accommodation statement**
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111.
The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
Data Scientist, Product Analytics
Data science internship job in Indianapolis, IN
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Analyst
Data science internship job in Indianapolis, IN
Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.
We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of
Impact Network Groups
led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.
Responsibilities
We have an ambitious Community Bank Data Office and we're building a class-leading data team that works to solve complex business challenges and provide insights to improve our business and customer experience.
We are looking for an innovative data analytics developer who has a knack for seeing solutions in sprawling data sets across loan and deposit products, a flair for building consistent business user experiences, and the business mindset to perform detailed analysis to produce genuine business insights that will find and fuel strategic opportunities.
You will work directly with lines of business peers and leaders to assess and interpret their reporting needs. You will identify and design reporting solutions based on their requirements. You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to access multiple data sources and design insightful products for our business partners. You will work with various teams, each with unique backgrounds and perspectives, to develop solutions that will have a real impact for the bank and for our customers.
Salary Range
The salary range for this position is $51,700 - $101,500 per year. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled.
Key Accountabilities
Fulfill core data analytics developer accountabilities:
Building and maintaining dashboards, reports, and data models.
Proactively evaluate data & trends to guide business partners on emerging opportunities
Ensure data accuracy and consistent reporting by designing and creating optimal analytics code with data controls defined as defined within the policy, procedure, and standards
Tasks and deliverables are often time-sensitive and require a proactive approach to ensure deadlines are consistently met
Develop and implement Power BI Reports:
Creates a consistent dashboard, reporting, and analytics experience for the business users
Understand business requirements of BI context and design a data model to transform raw data into meaningful insights
Convert business requirements into technical specifications and implement them through reports that support decision-making
Perform DAX queries and functions in Power BI
Develop data extracts & ad-hoc reporting:
Partner with business users to derive requirements, identify data sources, wrangle data and/or transform data via SQL and/or SAS to produce file extracts for use within PowerBI Dashboards or distribution to other systems
Drive efforts on ad hoc, time-sensitive exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs.
Creating customized diagrams and user-defined calculations as needed
Design, develop and deploy business intelligence solutions with SQL queries for best results, filters, and graphs to better understand your data at all levels for performance improvements and suggestions
Qualifications and Education Requirements
Bachelor's degree is required
Thorough knowledge of the retail bank business line
5+ years' experience in banking and finance
5+ years' experience programming skills with querying languages: SQL, SAS, R, Python, etc.
3-5 years' experience in developing analytics reports and dashboards, preferably PowerBI
3-5 years' experience working with and creating data extracts
3+ years' experience in Data visualization and dashboard/report development
Experience integrating multiple components of the Microsoft BI Stack, with specific emphasis on Power BI, Power Apps, Power Automate and Azure services
Experience with both on-prem SQL server and Azure Databricks cloud data environments
Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
Knowledge of industry leading practices in Analytics
Solid written, verbal, and interpersonal skills
Strong project management skills and experience with agile methodologies preferred
Demonstrated ability to communicate and support data culture change initiatives
Client-centered approach to working with line of business stakeholders
Demonstrated ability to engage directly with C-level executives when sharing data, reports and presentations
Strong banking domain expertise preferred
Working knowledge of banking systems and tools (MeridianLink/LoansPQ, Encompass, Velocify, Fiserv Signature, Marquis Executrax MCIF) preferred
Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles.
As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.
Our culture is firmly rooted in our core values.
We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.
We are Old National Bank. Join our team!
We can recommend jobs specifically for you! Click here to get started.
If you're qualified for a position but need additional help with the application because of a disability, please email ************************** (This email will respond to accommodation requests only.)
Auto-ApplyVisual Data Scientist Intern
Data science internship job in Gas City, IN
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Internship Overview:
The Advanced Intelligence (AI) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics, and predictive analytics to identify and solve high-value business questions. The AI team is actively seeking a visual data science research intern who will focus on the development and implementation of novel visual analytics solutions to support exploratory and impactful problems across Lilly's clinical research, commercial, or manufacturing services. This role requires creativity, curiosity, and strong collaboration skills to define and prototype visualization approaches that enhance data-driven decision-making in complex domains.
Responsibilities:
Conduct applied visualization research to explore new techniques, evaluate design approaches, and contribute to tools that support data exploration, decision-making, and storytelling for business and scientific users
Develop custom visualizations using modern data visualization libraries (e.g., D3.js, Plotly, Vega, Observable) to convey complex insights clearly and effectively
Build frontend-focused web applications (e.g., using React, Vue, or similar frameworks) that integrate interactive data visualizations and support user-driven exploration of data
Design clean, intuitive user interfaces and user experiences that enhance usability and engagement with analytical products
Share and present visual products and design rationale with stakeholders and team members, incorporating feedback iteratively
Basic Qualifications:
Pursuing a PhD or master's degree in computer science, data science, human-computer interaction, information visualization, or a related technical field
Demonstrated experience designing and building interactive data visualizations using tools such as D3.js, Vega, Vega-Lite, Plotly, or similar libraries
Proficient in web development, particularly frontend technologies such as HTML/CSS, JavaScript, React, or Vue, and able to build responsive, user-friendly interfaces
Understanding of UI/UX principles and best practices for designing intuitive user experiences
Additional Skills/Preferences:
Completed graduate-level coursework or research in data visualization, machine learning, human-centered computing, or visual analytics
Strong understanding of advanced visualization techniques, including force-directed layouts, network diagrams, and other graph-based algorithms
Publication in a top-tier visualization or HCI conference or journal (e.g., IEEE VIS, ACM CHI, EuroVis)
Experience with data science workflows, including data cleaning, transformation, analysis, and visualization in Python or R
Proficient in building and integrating RESTful APIs to support interactive visual applications
Experience working in cloud environments (e.g., AWS, Azure, GCP) and using version control tools like Git
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$43,000 - $110,000
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly
Auto-Apply