Data scientist jobs in West Des Moines, IA - 104 jobs

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation. MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation. MidAmerican Energy Company has an exciting career opportunity available. Take the next step in your career and apply now! Skills for Success * Effective oral and written communication skills. * Effective analytical and problem-solving skills. * Effective interpersonal skills and customer relationship skills * Ability to prioritize and handle multiple tasks and projects concurrently. * Experience using Python to develop machine learning or statistical models. * Experience using SQL to work with database tables and ETL processes. * Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred. Qualifications * Must be a college student, sophomore, or higher standing, currently enrolled in a bachelor's or master's degree program in data analytics, data science, computer science, management information systems, mathematics, or related field of study. * Must be available June 2026 - August 2026. * Working knowledge of Microsoft Office and the Windows operating environment. Primary Job Duties and Responsibilities * Identify partner teams' key problems, prototype solutions, and help solve business problems using data science and cloud technology. * Collaborate with internal business groups and domain experts to develop problems, gather requirements, and design advanced analytics solutions. * Collaborate with team members and other Data and Analytics interns to design and develop advanced analytics projects. * Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and Power BI. * Perform data wrangling in Python and SQL supporting advanced analytics projects. * Develop advanced analytics models (machine learning, statistical, mathematical, or computational models) using Python to solve industry problems. * Develop data visualizations and dashboards using Power BI to present advanced analytical model results as well as descriptive and exploratory analytics. * Effectively communicate and present advanced analytics model results and project outcomes. * Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth. * Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning. * Perform any additional responsibilities as requested or assigned. Performance Expectations * Perform responsibilities as directed within determined time frames and with a high degree of accuracy. * Establish and maintain effective work relationships within the department and the company. * Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training. * Maintain sensitive and confidential information regarding company information. * Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules. * Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

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 (**************************************** .

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.

CCG Talent Management is not only a business solutions company but a company that believes success starts with the individual. CCG Business Solutions has been consulting and providing talent placement services since 2007. Our team understands the principles of connecting purpose to business. We are currently recruiting for a Data Scientist (Python, Power BI, Databricks, SQL, data modeling, R, Javascript, MondoDB). Job Description As a Data Scientist, you will join a client team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. The client team partners with product managers and data engineers to design, scale, and deliver full-stack data science solutions. You will join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems. Responsibilities Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds. Work with high-resolution machine and agronomic data in the development and testing of predictive models. Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes. Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics. Qualifications Demonstrated competency in developing production-ready models in an Object-Oriented program language such as Python. Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc. Experience with Visualization tools such as Tableau, PowerBI, DataStudio, etc. Experience with Data Modeling techniques such as Normalization, data quality, and coverage assessment, attribute analysis, performance management, etc. Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc. Excellent communication skills. Able to effectively lead meetings, document work for reproduction, write persuasively, communicate proofs-of-concept, and effectively take notes. Additional Qualifications Additional experience with other languages such as R, JavaScript, Scala, etc. Examples of professional work such as publications, patents, a portfolio of relevant project work, etc. Familiarity with Distributed Datasets Experienced with a variety of data structures such as time series, geo-tagged, text, structured, and unstructured. Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc. Experience with model validation, measuring model bias, measuring model drift, etc. Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc. Ability to communicate complex analytical insights in a manner that is understandable by non - technical audiences. Additional Information Salary: $55.00 - $58.00 + Bonus + Relocation All your information will be kept confidential according to EEO guidelines.

Farm Bureau is looking for a strong data driven professional to join our team and help us live out our mission of protecting livelihoods and futures. In this role, you will perform statistical analysis as part of the predictive modeling team and assist in the delivery of pricing models and competitive research. Candidate must be local to the Des Moines area, or willing to relocate as at least three days in the office is required per week. Candidates must also have predictive modeling or actuarial experience. Who We Are: At Farm Bureau Financial Services, we make insurance simple so our client/members can feel confident knowing their family, home, cars and other property are protected. We value a culture where integrity, teamwork, passion, service, leadership and accountability are at the heart of every decision we make and every action we take. We're proud of our more than 80-year commitment to protecting the livelihoods and futures of our client/members and creating an atmosphere where our employees thrive. What You'll Do: * Develop, implement, and document predictive models * Interpret results to audiences of various technical knowledge * Test, validate, and correct / clean data as needed * Collaborate with managing actuaries on the pricing teams to deliver results What It Takes to Join Our Team: * College degree plus 3 years predictive modeling experience required. * Property Casualty experience preferred. * Must have strong skills with SQL, R, Emblem or other predictive modeling software. * Be team focused and be able to work in a collaborative work environment. * Strong communication and presentation skills. What We Offer You: When you're on our team, you get more than a great paycheck. You'll hear about career development and educational opportunities. We offer an enhanced 401K with a match, low-cost health, dental, and vision benefits, and life and disability insurance options. We also offer paid time off, including holidays and volunteer time, and teams who know how to have fun. Add to that an onsite wellness facility with fitness classes and programs, a daycare center, a cafeteria, and for many positions, even consideration for a hybrid work arrangement. Farm Bureau....where the grass really IS greener! Work Authorization/Sponsorship Applicants must be currently authorized to work in the United States on a full-time basis. We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role. For example, we are not able to sponsor OPT status.

As an Imaging Data Scientist for one of our Agricultural Sciences customers, you will work at the intersection of plant cell biology and applied AI to build, productionize, and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. You will contribute to end‑to‑end imaging and analytics-from microscopy microspore detection to macroscopic structure assessment and plantlet characterization-supporting decisions that reduce cycle time and cost in DH programs. Solutions will be developed primarily in Python, integrated with our repositories and workflow tooling, and aligned with Biotech strategy initiatives. Day to day responsibilities include: Design & deliver deep learning-based CV models for microscopy and macroscopic assays (detection, segmentation, classification) with measurable accuracy, robustness, and throughput. Build production‑ready pipelines in Python (data ingest, preprocessing, augmentation, inference, batch processing), integrated with GitLab repos and experiment tracking; ensure reproducibility and documentation. Implement hyperspectral analysis workflows (band selection, normalization, feature extraction, model training). Harmonize imaging acquisition with analysis by collaborating with biology teams to standardize microscopy/RGB/hyperspectral capture and file formats (e.g., FIJI/ImageJ for z‑stacks; auto scale practices). Quantify model performance (precision/recall, F1, ROC/AUC, calibration) and write clear reports/posters for DH sessions; support fact‑checking in presentations. Operationalize at scale: batch processing of tens of thousands of structures/images; optimize inference (e.g., torch. compile, mixed precision) and monitor resource usage. Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to align deliverables with deployment milestones. Maintain IP & data stewardship practices consistent with internal strategy; avoid disclosure of confidential protocols while enabling model re‑use. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 4-6 years hands‑on in computer vision with Python (PyTorch/TensorFlow), including detection/segmentation/classification for scientific or industrial imaging. Proven ability to productionize models: Git/GitLab, code reviews, CICD basics, experiment tracking (MLFlow or equivalent), reproducible data/experiments, and clear documentation. Experience with microscopy image processing, multi‑page TIFFs, z‑stacks, autoscale/normalization, and image quality challenges. Familiarity with hyperspectral or multispectral imaging pipelines (preprocessing, dimensionality reduction, modeling) applied to plant or biological materials. Track record of measurable model performance reporting and communicating results via posters/presentations for technical audiences. Stakeholder communication skills, willing to take ownership of project work Vision Transformers (ViT) and modern YOLO workflows for microscopy/macroscopic tasks; comfort with infer tooling. Experience optimizing inference (e.g., torch.compile, mixed precision) and scaling batch workflows. Domain familiarity with Biotech breeding workflows. Collaboration with discovery and strategy teams; ability to work across biology, engineering, and data science groups.

This is a multi-level posting. Candidates may be considered for any of the posted levels 14, 15, 16 or 17, depending on their level of experience and depth of expertise. We are seeking a skilled and motivated Data Scientist to join our growing Data & Analytics team at MidAmerican Energy company. This role is instrumental in driving data-driven decision-making across the organization, with a strong focus on leveraging Microsoft Azure as the core data and analytics platform. The ideal candidate will have a passion for solving complex business problems using data science techniques and cloud-native tools. Responsibilities Collaborate with business stakeholders to identify opportunities for data science solutions that improve operational efficiency, customer experience, and sustainability. Design, develop, and deploy machine learning models and advanced analytics solutions using Azure Machine Learning, Azure Databricks, and related services. Build and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure-native tools. Perform exploratory data analysis, feature engineering, and model validation using Python or similar languages. Work closely with data engineers and architects to ensure data quality, governance, and security across the Azure ecosystem. Communicate findings and insights through compelling visualizations and dashboards using Power BI. Contribute to the development of best practices, reusable assets, and knowledge sharing within the data science community of practice. Qualifications Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. (Typically four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.) Master's in data science or related technical field preferred. Eighteen months of work and/or internship experience required for level 1. Primarily in a data science, modeling or administration role preferred. A minimum of three years of additional directly-related experience is required for the level 2. Five years of related work experience, primarily in a data science, modeling and administration role for level 3. Six years of related work experience, primarily in a data science, modeling and administration role for Sr level. Hands-on experience with Microsoft Azure services, including: Azure Machine Learning Azure Data Factory Azure Databricks Azure DevOps Proficiency in Python similar programming languages. Strong SQL skills and experience working with large-scale data sets. Experience with version control (e.g., Git) and Agile development practices. Excellent communication and collaboration skills. Proven experience working in the utility industry is preferred. Effective oral and written communication skills, with the ability to collaborate across teams and mentor junior engineers. Strong analytical and problem-solving abilities. Ability to prioritize and manage multiple tasks and projects concurrently. Employees must be able to perform the essential functions of the position, with or without accommodation. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

JOB TITLE: Senior Actuary - ALM/Risk Management EMPLOYER: Sentinel Security Life Insurance DEPARTMENT: Finance - Actuarial REPORTS TO: Chief Actuary ABOUT THE COMPANY Since 1948, families have counted on Sentinel Security Life Insurance Company during their time of need. The Company was originally established to provide families a way of funding funeral expenses and burial costs. Through our final expense life insurance product, we have been honored to provide peace of mind to families for well over half a century. Today, Sentinel offers a strong senior market portfolio including Life and Annuity products. We continue to develop new products while improving existing products and services to better protect our customers. Sentinel has a long history of financial strength and stability that has afforded us the opportunity to invest wisely in the growth of our company. Our strength lies not only in the quality of our insurance products, but also the level of service we provide to our policyholders, agents, and shareholders. ABOUT THE ROLE Sentinel has an immediate opening for a self-motivated, resourceful, and well-organized candidate to join the team as a Senior Actuary with an initial focus on ALM, Asset Modeling, and Risk Management of annuities and life insurance. This opening will have direct exposure to each of the group's insurance operating companies as well as close interaction with the company's management team. The individual will have the opportunity to participate in all aspects of the company's actuarial functions and will work closely with leadership from the finance and insurance teams. This role offers scope for tremendous growth as A-CAP continues to grow and expand its business. This is a rare opportunity for an actuary to contribute to both new business and in-force functions within a high-growth insurance organization. WHAT YOU WILL DO: ALM, Hedging effectiveness studies Asset Modeling, Cash Flow Testing Risk management, risk reporting, risk policies, including ORSA & scenario analysis Experience studies, assumption setting Monitoring and analysis of asset performance Model enhancements using GGY AXIS Profitability metrics, analyses, and reporting Support subsidiary insurance companies' core actuarial functions as needed (valuation, cash flow testing, pro-forma/business planning, risk management, etc.) with opportunities to rotate through various actuarial functions on a short-term basis. Other Actuarial projects as needed. Opportunity to work on high-profile projects with senior decision-makers that directly drive company growth; the role will have direct exposure to Senior Management including the Head of Life and Annuities, Chief Investment Officer, the Chief Actuary and the Chief Financial Officer. Work closely with key stakeholders. WHAT YOU WILL NEED: Bachelor's degree in finance, accounting, economics, actuarial science, or related field with 5+ years of actuarial experience. ASA/FSA designation. Expert proficiency with MS Office Suite and GGY AXIS. Tech-savvy is a plus. Experience with annuity products and relevant actuarial work (ALM, valuation, risk management, etc.). Strong organizational skills and ability to communicate complex concepts in a professional and concise manner, both verbally and written. Comfort with a steep learning curve and motivation to work in an opportunity-rich, dynamic environment. Experience with asset modeling, cash flow testing & reinsurance, particularly for fixed annuity products, preferred. Experience with pre-need and/or final expense life insurance products, preferred. US Statutory and/or GAAP financial reporting experience, preferred. BENEFITS: A-CAP works hard to create a positive and supportive environment. That's why we offer great benefits to safeguard the health and well-being of our employees. Our comprehensive benefits package includes: Competitive compensation programs Employer-sponsored medical, dental, and vision insurance Paid Life & AD&D Insurance (for employees and families) Paid Disability Insurance (STD + LTD) Paid Parental Leave Paid Vacation and Sick Leave Paid Holidays Voluntary Supplemental Insurance Safe Harbor 401(k) plan with employer match And other benefits and perks! POSITION TYPE AND EXPECTED HOURS OF WORK This is a full-time position. Days and hours of work are Monday through Friday, 9:00 a.m. to 6:00 p.m., 40 hours weekly, or as otherwise arranged with the manager of the department. US work authorization is required. Who We Are: ******************** EEO Statement A-CAP is an Equal Opportunity Employer and does not discriminate in recruiting, hiring, promotion or any other personnel action based on the basis of race, ethnicity, national origin, color, sex, gender, gender identity or expression, sexual orientation, religion, age, disability, veteran status, or any other basis covered by appropriate law. We comply with the laws and regulations set forth in the Know Your Rights poster. All employment is decided on the basis of qualifications, merit, and business need. To request an accommodation, contact *********** and we will make every effort to respond to your request within 48 business hours to work towards a positive solution. Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It should not be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Powered by JazzHR gk BIV69ZUc

MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory. Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will have the opportunity to tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience. Skills for Success Effective oral and written communication skills. Effective analytical and problem-solving skills. Effective interpersonal skills and customer relationship skills Ability to prioritize and handle multiple tasks and projects concurrently. Experience using Python to develop machine learning or statistical models. Experience using SQL to work with database tables and ETL processes. Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred. Qualifications Must be a college student, sophomore, or higher standing, currently enrolled in a bachelor's or master's degree program in data analytics, data science, computer science, management information systems, mathematics, or related field of study. Must be available June 2026 - August 2026. Working knowledge of Microsoft Office and the Windows operating environment. Primary Job Duties and Responsibilities Identify partner teams' key problems, prototype solutions, and help solve business problems using data science and cloud technology. Collaborate with internal business groups and domain experts to develop problems, gather requirements, and design advanced analytics solutions. Collaborate with team members and other Data and Analytics interns to design and develop advanced analytics projects. Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and Power BI. Perform data wrangling in Python and SQL supporting advanced analytics projects. Develop advanced analytics models (machine learning, statistical, mathematical, or computational models) using Python to solve industry problems. Develop data visualizations and dashboards using Power BI to present advanced analytical model results as well as descriptive and exploratory analytics. Effectively communicate and present advanced analytics model results and project outcomes. Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth. Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning. Perform any additional responsibilities as requested or assigned. Performance Expectations Perform responsibilities as directed within determined time frames and with a high degree of accuracy. Establish and maintain effective work relationships within the department and the company. Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training. Maintain sensitive and confidential information regarding company information. Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules. Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

As a Data Center Quality Inspector I, you provide superb quality control services for our clients. The work includes performing essential inspections of electrical equipment and systems, such as switchgear and substations. Detailed knowledge of mechanical and instrumentation is critical to conduct inspections and interpret electrical drawings and specifications. Attentively, you ensure the equipment and technicians around you comply with company and site safety requirements. You prepare detailed daily reports about your findings, including time tracking and special inspection reports. Diligently, you approve and submit important documents such as Lockout/Tagout (LOTO) requests, team reports, and time tracking reports. You take pride in assuring that our clients receive safely installed and functional equipment every time. If you are an analytical and detail-oriented individual who communicates effectively and prioritizes safety, this could be the position for you! Travel may be required. Responsibilities Ability to read and interpret electrical drawings and specifications. Prepare written documentation such as daily narratives (work reports), special inspection reports, and daily time tracking. Perform inspections of switchgear, standby generators, protective relays, and other electrical distribution components. Submit LOTO requests, review and approve team reports, and time tracking. Ensure compliance with all company and site safety requirements. Benefits Competitive pay, depending on experience. Medical, dental, vision, 401(k) with company match, among other benefits. Holidays and paid vacation time. Extensive learning and development opportunities. Requirements Requirements High school diploma or equivalent. Higher education degree preferred. Minimum of two years of experience inspecting, testing, commissioning, or operating electrical distribution systems. Commercial or naval nuclear experience is strongly desired. OSHA 10-hour Construction Safety training. Commitment to excellence and high standards.

Looking for a career where you love what you do and who you do it with? You're in the right place. Healthcare here is different - we're locally owned and led by our physicians, and all decisions are always made right here in Central Iowa. By working at The Iowa Clinic, you'll get to make a difference while seeing a difference in our workplace. Because as one clinic dedicated to exceptional care, we're committed to exceeding expectations, showing compassion and collaborating to provide the kind of care most of us got into this business to deliver in the first place. Think you've got what it takes to join our TIC team? Keep reading… A day in the life… Wondering what a day in the life of a Data Engineer - Healthcare Analytics at The Iowa Clinic might look like? We are seeking a skilled and motivated Data Engineer to join our growing analytics team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure that empower our organization to make data-driven decisions. You'll collaborate closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for performance. Key Responsibilities * Develop and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks. * Design and implement data models and architectures that support analytics and reporting needs. * Ensure data quality, integrity, and security across all systems. * Collaborate with cross-functional teams to understand data requirements and deliver solutions. * Monitor and optimize data workflows for performance and scalability. * Maintain documentation for data processes, systems, and architecture. NOTE: Candidates must have valid U.S. work authorization and will not require employer sponsorship now or in the future. We do not provide sponsorship. Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 3+ years of experience in data engineering or a similar role. * Demonstrated knowledge and practical use of health information standards * Strong understanding of analytical methods, tools, statistics and data management * Proficiency in SQL and Python (or other scripting languages). * Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). * Familiarity with tools like Airflow, dbt, Kafka, or Spark is a plus. * Strong understanding of data modeling, data governance, and best practices in data architecture. Preferred Skills * Experience working in Agile environments. * Knowledge of CI/CD pipelines and DevOps practices. * Ability to communicate technical concepts to non-technical stakeholders. * Passion for building scalable and efficient data systems. Know someone else who might be a great fit for this role? Share it with them! What's in it for you * One of the best 401(k) programs in central Iowa, including employer match and profit sharing * Employee incentives to share in the Clinic's success * Generous PTO accruals * and paid holidays * Health, dental and vision insurance * Quarterly volunteer opportunities through a variety of local nonprofits * Training and development programs * Opportunities to have fun with your colleagues, including TIC night at the Iowa Cubs, employee appreciation tailgate party, Adventureland day, State Fair tickets, annual holiday party, drive-in movie night… we could go on and on * Monthly departmental celebrations, jeans days and clinic-wide competitions * Employee rewards and recognition program * Health and wellness program with up to $350/year in incentives * Employee feedback surveys * All employee meetings, team huddles and transparent communication

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation. MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation. MidAmerican Energy Company has an exciting Internship opportunity available! Take the next step in your career and apply now! Skills for Success * Effective oral and written communication skills. * Effective analytical and problem-solving skills. * Effective interpersonal skills and customer relationship skills. * Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred. Qualifications * Must be a college student, junior or higher standing, currently enrolled in a bachelor's degree or higher program in data science, computer science, economics, statistics, business analytics, or related field of study. * Must be available through the 2025 - 2026 academic school year. * Working knowledge of Microsoft Office and the Windows operating environment. Primary Job Duties and Responsibilities * Identify partner teams' key issues, prototype solutions, and help solve business problems using data and technology. * Effectively communicate and present advanced analytics model results and project outcomes. * Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth. * Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning. * Perform any additional responsibilities as requested or assigned. Performance Expectations * Perform responsibilities as directed within determined time frames and with a high degree of accuracy. * Establish and maintain effective work relationships within the department and the company. * Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training. * Maintain sensitive and confidential company information. * Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules. * Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

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.

CCG Talent Management is not only a business solutions company but a company that believes success starts with the individual. CCG Business Solutions has been consulting and providing talent placement services since 2007. Our team understands the principles of connecting purpose to business. We are currently recruiting for a Data Scientist (Python, Power BI, Databricks, SQL, data modeling, R, Javascript, MondoDB). Job Description As a Data Scientist, you will join a client team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. The client team partners with product managers and data engineers to design, scale, and deliver full-stack data science solutions. You will join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems. Responsibilities Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds. Work with high-resolution machine and agronomic data in the development and testing of predictive models. Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes. Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics. Qualifications Demonstrated competency in developing production-ready models in an Object-Oriented program language such as Python. Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc. Experience with Visualization tools such as Tableau, PowerBI, DataStudio, etc. Experience with Data Modeling techniques such as Normalization, data quality, and coverage assessment, attribute analysis, performance management, etc. Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc. Excellent communication skills. Able to effectively lead meetings, document work for reproduction, write persuasively, communicate proofs-of-concept, and effectively take notes. Additional Qualifications Additional experience with other languages such as R, JavaScript, Scala, etc. Examples of professional work such as publications, patents, a portfolio of relevant project work, etc. Familiarity with Distributed Datasets Experienced with a variety of data structures such as time series, geo-tagged, text, structured, and unstructured. Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc. Experience with model validation, measuring model bias, measuring model drift, etc. Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc. Ability to communicate complex analytical insights in a manner that is understandable by non - technical audiences. Additional Information Salary: $55.00 - $58.00 + Bonus + Relocation All your information will be kept confidential according to EEO guidelines.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

JOB TITLE: Senior Actuary - ALM/Risk Management EMPLOYER: Sentinel Security Life Insurance DEPARTMENT: Finance - Actuarial REPORTS TO: Chief Actuary ABOUT THE COMPANY Since 1948, families have counted on Sentinel Security Life Insurance Company during their time of need. The Company was originally established to provide families a way of funding funeral expenses and burial costs. Through our final expense life insurance product, we have been honored to provide peace of mind to families for well over half a century. Today, Sentinel offers a strong senior market portfolio including Life and Annuity products. We continue to develop new products while improving existing products and services to better protect our customers. Sentinel has a long history of financial strength and stability that has afforded us the opportunity to invest wisely in the growth of our company. Our strength lies not only in the quality of our insurance products, but also the level of service we provide to our policyholders, agents, and shareholders. ABOUT THE ROLE Sentinel has an immediate opening for a self-motivated, resourceful, and well-organized candidate to join the team as a Senior Actuary with an initial focus on ALM, Asset Modeling, and Risk Management of annuities and life insurance. This opening will have direct exposure to each of the group's insurance operating companies as well as close interaction with the company's management team. The individual will have the opportunity to participate in all aspects of the company's actuarial functions and will work closely with leadership from the finance and insurance teams. This role offers scope for tremendous growth as A-CAP continues to grow and expand its business. This is a rare opportunity for an actuary to contribute to both new business and in-force functions within a high-growth insurance organization. WHAT YOU WILL DO: ALM, Hedging effectiveness studies Asset Modeling, Cash Flow Testing Risk management, risk reporting, risk policies, including ORSA & scenario analysis Experience studies, assumption setting Monitoring and analysis of asset performance Model enhancements using GGY AXIS Profitability metrics, analyses, and reporting Support subsidiary insurance companies' core actuarial functions as needed (valuation, cash flow testing, pro-forma/business planning, risk management, etc.) with opportunities to rotate through various actuarial functions on a short-term basis. Other Actuarial projects as needed. Opportunity to work on high-profile projects with senior decision-makers that directly drive company growth; the role will have direct exposure to Senior Management including the Head of Life and Annuities, Chief Investment Officer, the Chief Actuary and the Chief Financial Officer. Work closely with key stakeholders. WHAT YOU WILL NEED: Bachelor's degree in finance, accounting, economics, actuarial science, or related field with 5+ years of actuarial experience. ASA/FSA designation. Expert proficiency with MS Office Suite and GGY AXIS. Tech-savvy is a plus. Experience with annuity products and relevant actuarial work (ALM, valuation, risk management, etc.). Strong organizational skills and ability to communicate complex concepts in a professional and concise manner, both verbally and written. Comfort with a steep learning curve and motivation to work in an opportunity-rich, dynamic environment. Experience with asset modeling, cash flow testing & reinsurance, particularly for fixed annuity products, preferred. Experience with pre-need and/or final expense life insurance products, preferred. US Statutory and/or GAAP financial reporting experience, preferred. BENEFITS: A-CAP works hard to create a positive and supportive environment. That's why we offer great benefits to safeguard the health and well-being of our employees. Our comprehensive benefits package includes: Competitive compensation programs Employer-sponsored medical, dental, and vision insurance Paid Life & AD&D Insurance (for employees and families) Paid Disability Insurance (STD + LTD) Paid Parental Leave Paid Vacation and Sick Leave Paid Holidays Voluntary Supplemental Insurance Safe Harbor 401(k) plan with employer match And other benefits and perks! POSITION TYPE AND EXPECTED HOURS OF WORK This is a full-time position. Days and hours of work are Monday through Friday, 9:00 a.m. to 6:00 p.m., 40 hours weekly, or as otherwise arranged with the manager of the department. US work authorization is required. Who We Are: ******************** EEO Statement A-CAP is an Equal Opportunity Employer and does not discriminate in recruiting, hiring, promotion or any other personnel action based on the basis of race, ethnicity, national origin, color, sex, gender, gender identity or expression, sexual orientation, religion, age, disability, veteran status, or any other basis covered by appropriate law. We comply with the laws and regulations set forth in the Know Your Rights poster. All employment is decided on the basis of qualifications, merit, and business need. To request an accommodation, contact *********** and we will make every effort to respond to your request within 48 business hours to work towards a positive solution. Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It should not be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MidAmerican Energy Company is seeking students pursuing a bachelor's degree or higher in data analytics, computer science, management information systems, mathematics, or related field of study, graduating later than August 2026. Data Science Interns will gain understanding of key drivers of business and engage with analytics framework/tools to create value from data. The position is temporary, nonexempt, and full-time/hourly through the summer. Company and Internship Program Overview MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory. Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience. Skills for Success Self-starter Effective oral and written communication skills. Effective analytical and problem-solving skills. Effective interpersonal skills and customer relationship skills. Ability to prioritize and handle multiple tasks and projects concurrently. Experience using Python to develop machine learning or statistical models. Experience using SQL to work with database tables and ETL processes. Experience using Power BI to create data visualizations. Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred. Qualifications Must be a college student, sophomore or higher standing, currently enrolled in a bachelor's degree or higher program in data analytics, computer science, management information systems, mathematics, or related field of study. Must be available May 2026 - August 2026. Working knowledge of Microsoft Office and the Windows operating environment. Primary Job Duties and Responsibilities Identify partner teams' key issues, prototype solutions, and help solve business problems using data science and cloud technology. Collaborate with internal business groups and domain experts to define problems, gather requirements, and design advanced analytics solutions. Collaborate with team members to design and develop advanced analytics projects. Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and Power BI. Perform data wrangling in Python and SQL supporting advanced analytics projects. Develop advanced analytics models (statistical, mathematical, or computational models) using Python to solve industry problems. Develop data visualizations and dashboards using Power BI to present advanced analytical model results as well as descriptive and exploratory analytics. Effectively communicate and present advanced analytics model results and project outcomes. Perform any additional responsibilities as requested or assigned. Primary deliverables Connect EOMS system model to BHE data lake Develop vulnerability analytics model Connect vulnerability dashboard to the model and expand to present additional analytics Establish a process for yearly update of the model to capture physical infrastructure changes in the field Investigate reliability trends in outage data, and build additional dashboards that can be used for reliability reporting Performance Expectations Perform responsibilities as directed within determined time frames and with a high degree of accuracy. Establish and maintain effective work relationships within the department and the company. Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training. Maintain sensitive and confidential company information. Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules. Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

MidAmerican Energy Company is seeking students pursuing a bachelor's degree or higher in data analytics, computer science, management information systems, mathematics, or related field of study, graduating later than August 2026. Data Science Interns will gain understanding of key drivers of business and engage with analytics framework/tools to create value from data. The position is temporary, nonexempt, and full-time/hourly through the summer. Company and Internship Program Overview MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory. Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience. Skills for Success Self-starter Effective oral and written communication skills. Effective analytical and problem-solving skills. Effective interpersonal skills and customer relationship skills. Ability to prioritize and handle multiple tasks and projects concurrently. Experience using Python to develop machine learning or statistical models. Experience using SQL to work with database tables and ETL processes. Experience using Power BI to create data visualizations. Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred. Qualifications Must be a college student, sophomore or higher standing, currently enrolled in a bachelor's degree or higher program in data analytics, computer science, management information systems, mathematics, or related field of study. Must be available May 2026 - August 2026. Working knowledge of Microsoft Office and the Windows operating environment. Primary Job Duties and Responsibilities Identify partner teams' key issues, prototype solutions, and help solve business problems using data science and cloud technology. Collaborate with internal business groups and domain experts to define problems, gather requirements, and design advanced analytics solutions. Collaborate with team members to design and develop advanced analytics projects. Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and Power BI. Perform data wrangling in Python and SQL supporting advanced analytics projects. Develop advanced analytics models (statistical, mathematical, or computational models) using Python to solve industry problems. Develop data visualizations and dashboards using Power BI to present advanced analytical model results as well as descriptive and exploratory analytics. Effectively communicate and present advanced analytics model results and project outcomes. Perform any additional responsibilities as requested or assigned. Primary deliverables Connect EOMS system model to BHE data lake Develop vulnerability analytics model Connect vulnerability dashboard to the model and expand to present additional analytics Establish a process for yearly update of the model to capture physical infrastructure changes in the field Investigate reliability trends in outage data, and build additional dashboards that can be used for reliability reporting Performance Expectations Perform responsibilities as directed within determined time frames and with a high degree of accuracy. Establish and maintain effective work relationships within the department and the company. Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training. Maintain sensitive and confidential company information. Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules. Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.