Data science internship jobs in Kokomo, IN - 97 jobs

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, Analytics (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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. 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) 12. 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 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/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.

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! 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.)

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.

Saab is seeking a skilled Data Informatics Analyst to support our efforts in delivering data-driven solutions across the organization. The ideal candidate will operate at the intersection of data engineering, analytics, and strategic decision-making, transforming raw data into actionable insights for multiple business units and functional teams, including Business Operations, HR, Finance, IT, Security, and Legal. Responsibilities include: * Design and deliver data-driven solutions that support organizational goals and strategic decision-making. * Partner with cross-functional teams (Finance, IT, Security, Legal) to understand business needs and translate them into technical requirements. * Architect and implement secure, scalable, and efficient data platforms in compliance with internal and external security standards. * Develop, enhance, and maintain ETL pipelines using Python to ingest, clean, and transform large datasets from various sources. * Build and maintain interactive KPI dashboards and data visualizations using modern BI tools (e.g., Power BI, Qlik). * Ensure data governance, integrity, and availability by following best practices in data architecture and lifecycle management. * Collaborate with data architects and IT teams to maintain system scalability, reliability, and security. * Conduct root cause analysis and troubleshoot data quality issues across reporting layers and ETL workflows. * Ability to occasionally travel (typically 1 trip per quarter). Compensation Ranges: Syracuse, NY, West Lafayette, IN, or Orlando, FL: $72,000 - $90,000 Washington, D.C., Ashburn, VA, or Quincy MA: $86,400 - $108,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications: * BA/BS degree (preferably in Information Technology, Computer Science, or a related discipline) with 3+ years of relevant experience, or MA/MS degree in (preferably in Information Technology, Data Science, or a related discipline) with 1+ year of relevant experience * Proficient in Python for data engineering and ETL development. * Strong experience with SQL and data modeling. * Expertise in designing and deploying BI dashboards and reports using tools such as Power BI, Tableau, or Qlik. * Understanding of Azure services, including Azure Synapse Analytics, Azure Machine Learning, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Blob Storage, Azure Data Factory, and Azure Logic Apps. * Solid understanding of data security principles, compliance requirements, and best practices in secure data architecture. * Strong communication skills and ability to collaborate effectively across departments. Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: * Medical, vision, and dental insurance for employees and dependents * Generous paid time off, including 8 designated holidays * 401(k) with employer contributions * Tuition assistance and student loan assistance * Wellness and employee assistance resources * Employee stock purchase opportunities * Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 19,000 talented people, Saab constantly pushes the boundaries of technology to create a safer, more sustainable and more equitable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in eight U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.

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. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#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: $104,000-$130,000 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 (**************************************** .

Job DescriptionThe Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports. JOB DUTIES • Serves as project lead/subject matter expert for specific data sources, as assigned • Reviews and provides feedback on the work products of other analysts • Responsible for transferring raw data to the appropriate location for use in data analysis projects • Wrangles, cleans, and validates agency data sources with minimal guidance • Conducts general analysis of agency datasets; serves as project lead, as assigned. • Contributes to complex analysis of agency datasets, as requested • Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting • Oversee and review projects completed by associate analysts, as requested by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to program areas for the creation of reports and grant deliverables REQUIREMENTS • Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL. • Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data. • Working knowledge of MS Office Suite including Excel, Word, and PowerPoint. • Effective time management and program management skills. • Ability to work in a team environment with multiple and fluid demands. • Ability to maintain effective and professional working relationships with internal and external customers. • Ability to research and document findings. Candidate submission to include response from candidate describing the purpose and value of a Data Warehouse to a public health entity, speculating what data sources might be included and how they could be enhanced in a Data Warehouse. Is this included? RequirementsSkill Required / Desired Amount of Experience Experience analyzing data and reporting relevant results in a professional non-academic setting. Required 1 Years Ability to use Microsoft Office Suite (Word, PowerPoint, Excel) independently in a professional setting Required 2 Years Experience using R or Python for data analysis and reporting. Required 1 Years Experience using SQL to query a relational database Required 1 Years Experience using SAS for data analysis and reporting. Required 1 Years Experience using Tableau for data visualization Highly desired 1 Years Experience using Azure Portal. Highly desired 1 Years Experience using Microsoft DevOps. Highly desired 1 Years

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. Position Summary The Junior Data Scientist will support AES's US Utilities operations by applying data science techniques to improve grid reliability, customer experience, and operational efficiency. This entry-level role is ideal for candidates passionate about solving real-world energy challenges through data exploration, predictive modeling, and cross-functional collaboration. You'll work alongside our team of experienced data scientists, data analysts, data architects and engineers, and data governance experts to deliver insights that drive smarter decisions and accelerate the future of energy. Key Responsibilities Work cross-functionally within the team of data scientists, data architects & engineers, machine learning engineers, data analysts, and data governance experts to support integrated data solutions. Collaborate with business stakeholders and business analysts to define project requirements. Collect, clean, and preprocess structured and unstructured data from utility systems (e.g., meter data, customer data). Perform exploratory data analysis to identify trends, anomalies, and opportunities for improvement in grid operations and customer service. Use both traditional machine learning methods and generative AI tools to create predictive models that solve utilities-focused problems, particularly in the customer space (e.g., outage restoration, customer program adoption, revenue assurance). Present data-driven insights to internal stakeholders in a clear, concise manner, including visualizing data to provide predictive insights and drive decision making. Document methodologies, workflows, and results to ensure reproducibility and transparency. Be a champion of data and AI at all levels of the AES US Utilities organization. Stay current with industry trends in utility analytics and machine learning. Qualifications Must Have Bachelor's degree in data science, statistics, computer science, engineering, or a related field. Master's degree or Ph.D. is preferred. 5 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. Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker). Strong analytical thinking and problem-solving skills. Excellent communication and storytelling abilities. 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. Nice to Have Experience in the energy and/or utilities sectors. Understanding of utility-specific data sources (e.g., SCADA, CIS, GIS). Familiarity with SAP (especially IS-U and ERP modules). Exposure to data governance tools (e.g., enterprise data catalog and data quality tools). Physical Responsibilities Ability to sit or stand for extended periods while working at a computer. Capable of walking through office environments and occasionally visiting field or operational sites. Must be able to communicate effectively with colleagues in person, via video conferencing, and through written formats. Occasional travel may be required to attend meetings or support project work. Valid driver's license may be required depending on team assignment. AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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.

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).

Who We Are and What We Do At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Corteva Agriscience has an exciting opportunity for a Metabolic Modeling Data Scientist to develop and deploy predictive genome-scale metabolic models that accelerate microbial strain optimization and bioprocess development. This role will apply their expertise to innovate nature-inspired solutions to global challenges in agriculture. They will join a strong molecular data science team and work closely with cross-functional teams from early discovery to downstream process engineering to generate actionable hypotheses, quantify flux bottlenecks, and translate multiomics and process data into decisions for Crop Health R&D. What You'll Do: * Develop and maintain genome‑scale metabolic models for model and non‑model organisms; implement flux balance analysis (FBA/dFBA) and related approaches. * Integrate multi‑omics datasets (genomics, transcriptomics, proteomics, metabolomics) into metabolic models to generate testable hypotheses. * Apply AI/ML tools (e.g., ML‑assisted flux prediction, pathway inference etc.), perform metabolic flux analysis and estimate theoretical yields to inform media, feeding strategies, and optimization of titer/rate/yield. * Reconstruct and validate metabolic pathways, including completing missing steps and proposing/assessing novel routes to increased metabolite productivity. * Collaborate closely with strain engineering, biochemistry, and process engineering to ensure models are experimentally grounded and actionable. * Communicate results via clear summaries and decision‑ready recommendations for program reviews and R&D planning. What Skills You Need: * PhD in Systems Biology, Computational Biology, Bioinformatics, Chemical/Biochemical Engineering, Microbiology, or related fields. * Demonstrated experience building genome scale metabolic models, performing flux analysis, and integrating multi‑omics (such as genomics, transcriptomics, metabolomics) with experimental data for model refinement. * Strong programming skills in Python (and R) for model development and data integration Preferred Skills: * Experience with industrially relevant non‑model microbes and fermentation datasets. * Strong familiarity and proficiency working with latest models and techniques in this space, including tools such as COBRA Toolbox, CobraPy, KBase, or similar frameworks. * Experience applying ML/AI to predictive metabolic modeling, pathway prediction, and/or flux estimation. * Familiarity with version control (Git), workflow/pipeline tools, and reproducible model development practices. * Ability to develop, improve and apply metabolic modeling techniques on non‑model organisms; * Experience collaborating in cross‑disciplinary teams and ability to translate metabolic modeling insights into well-designed strain engineering experiments for validation in partnership with wet‑lab teams. #LI-BB1 Benefits - How We'll Support You: * Numerous development opportunities offered to build your skills * Be part of a company with a higher purpose and contribute to making the world a better place * Health benefits for you and your family on your first day of employment * Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays * Excellent parental leave which includes a minimum of 16 weeks for mother and father * Future planning with our competitive retirement savings plan and tuition reimbursement program * Learn more about our total rewards package here - Corteva Benefits * Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group1001's culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets - our employees. Why This Role Matters: Group 1001 is looking for a college student to join us as a Data Analytics Intern at our Zionsville, IN, corporate office. The internship will run from May 18 to August 7, 2026. The Data Analytics Intern will support on-going enterprise data platform modernization efforts by working on the Data Solution Services team to operationalize analytics through data domains as we transition to a modern data platform. How You'll Contribute: * Assist with data onboarding to Snowflake and data quality validation (profiling, cleansing, reconciliation) to ensure trusted, well-documented datasets. * Support data governance practices by updating data catalogs, lineage, and metadata to improve discoverability and compliance. * Enable user adoption by creating how-to guides, running demos, capturing feedback, and implementing a reusable new user on-boarding process * Build dashboards and analytical reports using Sigma What We're Looking For: * Undergraduate students completing their sophomore or junior year pursuing a degree in Data Science, Statistics, Computer Science, Management Information Systems; or completed coursework related to data analytics or information systems * Availability to work full-time hours over the summer. * Familiarity with Insurance industry is ideal * Ability to clearly articulate complex information to others. * Detail oriented with strong focus on quality of deliverables. * Demonstrated ability to proactively identify and solve problems and issues of all types. * Ability to prioritize and meet deadlines. * Ownership and accountability for deliverables. * Ability to work independently and with a team. * Strong written and communication skills. * Ability to establish positive relationships and work effectively with any department. * Familiar with Microsoft Suite (Word, Excel, Outlook, Teams, PowerPoint) Benefits Highlights: Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001's benefits package. Employees (and their families) are eligible to participate in the Company's comprehensive health, dental, and vision insurance plan options. Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability. All employees (regardless of hours worked) have immediate access to the Company's Employee Assistance Program and wellness programs-no enrollment is required. Employees may also participate in the Company's 401K plan, with matching contributions by the Company. Group 1001, and its affiliated companies, is strongly committed to providing a supportive work environment where employee differences are valued. Diversity is an essential ingredient in making Group 1001 a welcoming place to work and is fundamental in building a high-performance team. Diversity embodies all the differences that make us unique individuals. All employees share the responsibility for maintaining a workplace culture of dignity, respect, understanding and appreciation of individual and group differences. #LI-ES1

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. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/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.

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.)

Interview Type: In person only Work Arrangement: Onsite Engagement Type: Contract Short Description: Responsible in establishing a new data integration system, and in creating data dashboards for the Division of Food Protection and the Division of Environment Public Health. Complete Description: The incumbent is to conduct a broad and complex range of data manipulation activities to analyze the health impact of the two regulatory programs, and to initiate data-driven disease prevention strategies. Essential Duties/Responsibilities: Manage and analyze data collected through inspections, public health investigations, and applied epidemiologic studies. Collect and maintain datasets on foodborne illnesses, inspection violations, environmental health violations, and other relevant public health topics. Prepare and disseminate written and oral reports and presentations to communicate necessary information to the division directors. Conduct educational presentations and/or trainings for a variety of audiences, including local health departments, health care providers, and the general public. Engage directly with members of the public at health fairs and other outreach events. Participate in writing grants and other funding proposals. Serve as a backup to other staff, as needed. Perform related duties as assigned. Knowledge, Skills, and Abilities Basic knowledge of the principles and practices of public health and epidemiology and the ability to adapt and/or develop new guidelines or policies to solve problems and adjust to new requirements. Skill in managing large datasets, performing complex data analyses, and identifying key findings; Skill in preparing written and oral reports, presentations, and educational materials that communicate necessary information to internal and external partners; Skill in applying principles of informatics, including data collection, processing, and analysis, in support of epidemiologic practice Ability to provide prompt, courteous, and helpful customer service; Ability to collaborate with others inside and outside the agency to identify public health problems and form recommendations; Ability to communicate effectively, both orally and in writing, using principles of risk communication where appropriate; Ability to prioritize tasks efficiently to meet internal and external deadlines; Ability to appropriately document work activities and maintain organized records.

Who We Are and What We Do At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. We are seeking a highly skilled Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop active bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments. What You'll Do: * Design and implement active process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and safety. * Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing. * Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction. * Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results. * Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance. * Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders. * Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control. What Skills You Need: * M.S. + 3 years' experience or Ph.D. in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field. * Strong foundation in machine learning, statistical modeling, and process control. * Proficiency in Python, R, or another programming language. * Excellent communication and collaboration skills; ability to work in multidisciplinary teams. Preferred Skills: * Familiarity with bioprocess workflows, fermentation, and downstream processing. * Hands-on experience with bioprocess optimization models and active process control strategies. * Experience with industrial data systems and cloud platforms. * Knowledge of reinforcement learning or adaptive experimentation for process improvement. #LI-BB1 Benefits - How We'll Support You: * Numerous development opportunities offered to build your skills * Be part of a company with a higher purpose and contribute to making the world a better place * Health benefits for you and your family on your first day of employment * Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays * Excellent parental leave which includes a minimum of 16 weeks for mother and father * Future planning with our competitive retirement savings plan and tuition reimbursement program * Learn more about our total rewards package here - Corteva Benefits * Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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. Organizational & Position Overview: The Bioproduct Research & Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences: Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications 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 $126,000 - $244,200 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

Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group1001's culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets - our employees. Why This Role Matters: Group 1001 is looking for a college student to join us as a Data Analytics Intern at our Zionsville, IN, corporate office. The internship will run from May 18 to August 7, 2026. The Data Analytics Intern will support on-going enterprise data platform modernization efforts by working on the Data Solution Services team to operationalize analytics through data domains as we transition to a modern data platform. How You'll Contribute: Assist with data onboarding to Snowflake and data quality validation (profiling, cleansing, reconciliation) to ensure trusted, well-documented datasets. Support data governance practices by updating data catalogs, lineage, and metadata to improve discoverability and compliance. Enable user adoption by creating how-to guides, running demos, capturing feedback, and implementing a reusable new user on-boarding process Build dashboards and analytical reports using Sigma What We're Looking For: Undergraduate students completing their sophomore or junior year pursuing a degree in Data Science, Statistics, Computer Science, Management Information Systems; or completed coursework related to data analytics or information systems Availability to work full-time hours over the summer. Familiarity with Insurance industry is ideal Ability to clearly articulate complex information to others. Detail oriented with strong focus on quality of deliverables. Demonstrated ability to proactively identify and solve problems and issues of all types. Ability to prioritize and meet deadlines. Ownership and accountability for deliverables. Ability to work independently and with a team. Strong written and communication skills. Ability to establish positive relationships and work effectively with any department. Familiar with Microsoft Suite (Word, Excel, Outlook, Teams, PowerPoint) Benefits Highlights: Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001's benefits package. Employees (and their families) are eligible to participate in the Company's comprehensive health, dental, and vision insurance plan options. Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability. All employees (regardless of hours worked) have immediate access to the Company's Employee Assistance Program and wellness programs-no enrollment is required. Employees may also participate in the Company's 401K plan, with matching contributions by the Company. Group 1001, and its affiliated companies, is strongly committed to providing a supportive work environment where employee differences are valued. Diversity is an essential ingredient in making Group 1001 a welcoming place to work and is fundamental in building a high-performance team. Diversity embodies all the differences that make us unique individuals. All employees share the responsibility for maintaining a workplace culture of dignity, respect, understanding and appreciation of individual and group differences. #LI-ES1

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!

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. Organizational & Position Overview: The Bioproduct Research & Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences: Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications 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 $126,000 - $244,200 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