div class="flex max-w-full flex-col grow">Data Science & Analysis - AI Training. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
Possible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Milwaukee, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe. You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.
p>The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service.
p>You Are: The Accenture Life Insurance and Annuity Industry Data Product Lead will drive the development and delivery of the ALIP data analytics and insight solution-a cornerstone of our value proposition to ALIP clients. Our team of over 975 Life and Annuity industry professionals is helping some of the most recognized insurance brands drive growth with digital innovation, platform modernization, improved product distribution, and personalized customer experiences.
The role will be responsible for the infrastructure and operations of the organizations data storage solutions, third-party integrations data provisioning services and overall ETL/ELT code-based solutions and tooling that process data. Akumin is a leading provider of outpatient radiology and oncology services, partnering with top hospitals and health systems nationwide to deliver advanced diagnostic imaging and exceptional patient care close to home.
p>5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Familiarity with pySpark, DBT, or other similar frameworks Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP) Understanding of data warehousing concepts, dimensional modeling, and building data marts Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
Indianapolis, IN30+ days ago
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), Womens Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation & Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness).
li>8 years of experience with data center equipment/environments, including electrical switchgear, generators, chillers, cooling towers, air handling units, controls, security monitoring systems and fire safety systems, with an understanding of start up/commissioning processes. You will be tasked with managing and coordinating the desires and needs of multiple partner teams, while managing changes and maintaining a focus on keeping the project on schedule and budget.
p>This role involves collaborating with other engineering teams, financial analysts, and product owners, taking ownership of the team's work, and influencing the technical strategy and architecture of the platform.
This role is the team leader in helping extract, transform, and store the Firm's valuable data assets to achieve better operational efficiencies and provide better services to its clients through modern data movement pipelines. Meets regularly with business line customers to gain a better understanding of their business processes and of the customer''s evolving data needs to help identify potential data-related projects.
Indianapolis, IN30+ days ago
You will lead a high-performing team of data scientists and will collaborate with architects and engineers in Elanco's IT department to deliver long-term business value across our value chain-from R&D and manufacturing to commercial operations. Scalable Solutions: Drive the development and deployment of production-grade AI models and automated workflows, in partnership with IT Data Product Teams, Engineers and Architects.
Indianapolis, IN30+ days ago
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), Womens Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation & Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness).
Indianapolis, IN5 days ago
p>At Beckman Coulter Life Sciences, we know time is the most critical facet in the laboratory today: time to get life-saving therapies to patients faster; reclaiming time by automating tedious manual workflows; and saving time spent addressing erroneous or complex results. They will be responsible for coordinating and collaborating with the supply chain and procurement teams, commercial teams, transportation, logistics and distribution to help drive accountability and streamline logistical flow across both inbound and outbound freight.
Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy, trust, and accountability are critical. We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by legal professionals around the world.
Indianapolis, IN10 days ago
PhD with +4 years or Masters with +8 years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. As such, you will engage directly with customers onsite a couple of days per week in the Indianapolis area, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
Indianapolis, IN23 days ago
This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as well as Service Level Agreement (SLA) specifications. Alternate Education / Experience Requirements: Employer will accept a Master's degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study and.