Data science internship jobs in Pontiac, MI

Data Analyst & Backend Developer with AI The Digital Business Team develops promising digital solutions for global products and processes. It aims to organize Applus+ Laboratories' information, making it useful, fast, and reliable for both the Applus+ Group and its clients. The team's mission is to be recognized as the most digital, innovative, and customer-oriented company, reducing digital operations costs while increasing the value and portfolio of services. We are looking for a Data Science / AI Engineer to join our Digital team and contribute to the development of evolving data products and applications. Responsibilities: Collect, organize, and analyze structured and unstructured data to extract actionable insights, generate code, train models, validate results, and draw meaningful conclusions. Demonstrate advanced proficiency in Power BI, including data modeling, DAX, the creation of interactive dashboards, and connecting to diverse data sources. Possess a strong mathematical and statistical foundation, with experience in numerical methods and a wide range of machine learning algorithms. Exhibit hands-on experience in Natural Language Processing (NLP) and foundation models, with a thorough understanding of transformers, tokenization, and encoding-decoding processes. Apply Explainable AI (XAI) techniques using Python libraries such as SHAP, LIME, or similar tools. Develop and integrate AI models into backend systems utilizing frameworks such as FastAPI, Flask, or Django. Demonstrate logical and organized thinking with attention to detail, capable of identifying data or code anomalies and effectively communicating findings through clear documentation and well-commented code. Maintain a proactive mindset for optimizing analytical workflows and continuously improving models and tools. Exhibit creativity and innovation in problem-solving, with a practical and results-oriented approach. Technical Requirements: Demonstrated experience coding in python specifically working in data science projects and using ML most common libraries. Previous experiences working with Generative AI and explainable AI are welcome. Expertise in Power BI: data modeling, DAX, dashboards, integration with multiple sources. Proficient in SQL for querying, transforming, optimizing databases. Experienced in Python for data analysis, automation, machine learning. Knowledgeable in data analytics, KPIs, business intelligence practices. Skilled in translating business requirements into insights and visualizations. Our current tech stack is: Power BI (DAX) SQL Python Commonly used ML/AI libraries. Azure AI (Open AI) Education Degree in Computer Science, Software Engineering, Applied Mathematics, or a related field. A master's degree in data science or AI Engineering is an advantage. Languages English If you are passionate about analytics, advanced AI algorithms, and challenging yourself, this is the right job for you!

Company: Barton Malow Holdings Data Science Intern The Data Science Intern at Barton Malow supports the development and implementation of artificial intelligence, machine learning, and advanced analytics solutions across the organization. Working under the guidance of Data Scientists and in collaboration with IT, Application Developers, and Data Engineers, the intern contributes to building data models, performing statistical analysis, and developing proof-of-concept solutions that improve business decision-making and operational efficiency. This role provides hands-on experience with real projects, modern data platforms, and cross-functional teamwork, helping bridge data engineering and business analytics to deliver actionable insights. KEY JOB RESPONSIBILITIES*: * Data Exploration and Analysis: Assist in acquiring, cleaning, and exploring structured and unstructured data from internal and external sources to support analytics and modeling initiatives. * Analytical Support for Business Problems: Apply foundational statistical methods and exploratory analysis to identify trends, patterns, and opportunities tied to construction and business operation. * Machine Learning Development Support: Contribute to building, testing, and evaluating machine learning models under supervision, including feature engineering, model training, and performance validation. * Data Visualization and Storytelling: Utilize tools like Power BI to create compelling data visualizations that communicate insights clearly and effectively to stakeholders. * Data Pipelines and Automation: Support the development and monitoring of data pipelines and workflows to ensure reliable data availability for dashboards and models, following team standards and best practices. * Documentation and Continuous Learning: Document code, methodologies, assumptions, and results for reproducibility, and actively learn new tools and techniques (e.g., Databricks, SQL, Python, version control). REQUIRED KNOWLEDGE, EDUCATION, EXPERIENCE, SKILLS, AND ABILITIES: * Currently pursuing a bachelor's or master's degree in computer science, data engineering, software engineering, mathematics, statistics, or a related field. * Basic knowledge of programming. * Strong analytical and problem-solving skills with the ability to learn quickly. * Effective written and verbal communication skills, with the ability to collaborate across teams. * High attention to detail and a commitment to maintaining data integrity and quality. Barton Malow is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, sexual orientation, gender identity, veteran status, height, weight or marital status. Unsolicited Resumes from Third-Party Recruiters: We do not accept unsolicited referrals from third-party recruiters unless such recruiters are engaged and under contract to provide candidates for a specified opening. Any unsolicited resumes submitted without prior agreement will be considered the property of Barton Malow with the right to engage at our sole discretion without any obligations or fees owed.

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities Job Summary The Data Governance Analyst will support the development and execution of enterprise-wide data governance initiatives. This role will focus on ensuring the integrity, quality, and protection of data assets through the implementation of governance frameworks, data quality controls, and metadata management practices. The Analyst will work closely with business units, IT, and compliance teams to support the organization's data governance strategy and ensure alignment with regulatory and risk management expectations. Salary Range The annual salary range for this position is $60,000.00 - $121,300.00. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled. Key Accountabilities Data Governance Operations * Assist in the implementation and maintenance of the enterprise data governance framework, including policies, standards, and procedures. * Support the development and execution of data quality rules, issue tracking, and remediation processes. * Maintain and enhance metadata repositories and data catalogs using tools such as Informatica or Microsoft Purview. Data Stewardship and Collaboration * Partner with data owners, stewards, and business units to define and document data definitions, lineage, and usage. * Facilitate working groups and workshops to gather requirements and promote data governance awareness across the organization. Risk and Compliance Support * Monitor and report on data governance metrics, including data quality trends, audit findings, and remediation progress. * Support internal and external audits by providing documentation and evidence of data governance controls and practices. Project and Initiative Support * Contribute to enterprise initiatives such as the Modern Data Platform migration, report certification programs, and regulatory reporting enhancements. * Participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes. Qualifications and Education Requirements * Bachelor's degree in information systems, Business, Risk Management, or a related field. * 2+ years of experience in data governance, data management, or risk/compliance roles. * Familiarity with data governance frameworks (e.g., DCAM, NIST Privacy Framework, FFIEC). * Experience with data quality tools, metadata management platforms, and reporting tools. * Strong analytical, communication, and collaboration skills. Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, to fill a specific position. Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank. Join our team!

Job Description The Toyoda Gosei Group is a leading global manufacturer of rubber and plastic automotive components, safety systems and LEDs. Globally Headquartered in Japan with a network of 67 group companies in 17 countries and regions, the Group brings its extensive range of products to customers all over the world. Toyoda Gosei North America (headquartered in Troy, MI) has an opening for a Quality Assurance Data Analyst in the Quality Assurance department. The Quality Assurance Data Analyst functions with a moderate degree of autonomy, and is responsible for warranty cost control, warranty data tracking, analysis, reporting, and warranty systems development for Toyoda Gosei (TG) North America Corporation (TGNA) and TGNA Manufacturing Companies (AMCs). Essential Duties and Responsibilities • Develop and document database architectures • Develop database architectural strategies at the modeling, design and implementation stages to address business requirements • Design databases to support business applications, ensuring system scalability, security, performance and reliability • Develop data models for applications, metadata tables, views or related database structures • Create database to store electronic data for the Quality department • Summarize and deliver meaningful data summaries from standard warranty data downloads • Ensure proper logging, coding and disposition of all warranty part returns from customers • Form cross-functional teams for collaborative root-cause analysis and resolution • Administers database utilities, monitors the relationships between the database users and applications, and maintains the organization's databases across multiple platforms and computing environments • Applies understanding of relational database concepts and query languages in order to design required summary or aggregation tables to support analyses • Collaborates with technology/infrastructure staff to identify data relationships and functional requirements; analyzes and resolves issues related to information flow and content • Maintains database support tools, database tables and dictionaries and recovery and back-up procedures • Performs data modeling studies and develops detailed data models; maintains data model and entity relationship diagrams • Analyze, manipulate and process large sets of data using statistical software • Apply feature selection algorithms to models predicting outcomes of interest in warranty • Clean and manipulate raw data using statistical software • Drive optimization by being actively engaged in continuous improvement efforts (kaizen) • This role requires the completion of other duties as assigned Required Education, Experience, and Skills Certifications and Education • Minimum of (Database Administrator/Architect) associate's degree or equivalent years of relevant experience is required Experience • Minimum of 3 years of experience required • Five years of relevant experience preferred Physical Requirements • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision. Technology Competencies • Intermediate skills using Microsoft Office Suites 2016/365 or newer is required • Minimum requirement of Basic SQL, MS Access, Data Architecture, Database Development Work Environment • Office Environment Additional Competencies • Ability to consistently meet deadlines is required • Effective verbal, non-verbal, negotiation and written communication skills are required • Ability to sustain a high degree of professionalism in interacting with internal and external customers is required • Effective attention to detail, problem solving, analytical and organizational skills is required

Title: Sustainability Data Analyst Department: People & Impact Reports to: Senior Manager, Sustainability Job Classification: Remote FLSA Status: Exempt Job Band: Professional The Sustainability Data Analyst leads the collection, analysis, and visualization of environmental performance data across the enterprise - with a primary focus on greenhouse gas (GHG) emissions (Scopes 1, 2, and 3), water, and waste. This role plays a critical part in building a transparent and data-driven sustainability reporting process by ensuring accurate measurement, insightful analysis, and actionable recommendations that support science-based targets and voluntary environmental reporting.The Data Analyst partners cross-functionally with teams in Supply Chain, Sourcing, Product Development, Packaging, IT, and Global Social Responsibility to design and implement data-collection frameworks, automate reporting pipelines, and translate complex datasets into meaningful sustainability insights that inform business decisions and internal and external transparency. Inspired by Hard Work At Carhartt, the values of hard work-dependability, honesty, and trust-are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission-We serve and protect all hardworking people by building durable products-we remain dedicated to upholding these principles in every decision we make and every product we create. Associate Responsibilities Lead the annual greenhouse gas emissions inventory/accounting process for Scope 1, 2, 3 categories, including supply chain, product use, end-of-life, water and waste measurements. Design and implement data collection frameworks across suppliers, logistics, product development and retail channels to capture indirect emissions; identify improvement opportunities and build in automation/pipelines where possible. Analyze emissions data to identify hotspots, trends, benchmark performance against peers/industry, support target-setting (e.g., science-based targets) and informed decision-making. Develop data visualizations and dashboards to monitor sustainability KPIs and to help build transparency with accurate sustainability data. Prepare and present sustainability reports, papers and presentations for internal and external stakeholders. Collaborate with departments such as Supply Chain, Sourcing, IT, Global Social Responsibility, Product Development, Packaging to identify gaps, improve quality of data, explain findings and provide actionable insight. Partner with Global Social Responsibility team, staying current on ESG reporting standards and regulations (e.g., CSRD, SEC climate disclosure). Identify trends and inefficiencies in energy/water/waste/resource usage. Develop framework to model impact and/or forecast future performance of future initiatives. Required Education Bachelor's degree in Environmental Science, Data Analytics, Sustainability, or equivalent experience in a related field in lieu of degree Advanced degree preferred (e.g., MBA, Climate Science, Environmental Science, Sustainability) Required Skills & Experience 3+ years of experience in data analysis or sustainability reporting, including progressive experience with another global leading manufacturer (preferably within an apparel, consumer-packaged goods (CPG) company, or within consulting) Experience in Green House Gas Accounting (Scope 1, Scope 2, Scope 3 emissions) and water & waste data tracking and ability to direct a team on data management to make it actionable Experience with GHG accounting software, for example Carbonfact, Worldly, preferred Familiarity with ESG standards preferred Experience with VPPA's and/or renewable energy preferred Analytical and problem-solving abilities Demonstrated ability to execute programs that achieve sustainability goals. Ability to persuade and influence, without having direct authority, to drive solutions Team mentality, passion for sustainability and leading transformative changes in the ways of working; ability to connect the dots. Outstanding organizational skills with demonstrated ability to prioritize workload Excellent written and oral communication skills with the proven ability to communicate with all levels within the organization to build cross-functional competence with sustainability Advanced experience and proficiency using Excel, PowerPoint/Keynote, Word, Power BI, etc. Physical Requirements and Working Conditions Travel - 10% This position has a Remote location: Associate will have no regular requirement to be on-site. Travel on-site is limited to special events. Carhartt is a tobacco free workplace. #LI-REMOTE

Data Analyst - Pricing CommonSail Investment Group Brighton, Michigan The Data Analyst plays a critical role in supporting our Pricing and revenue strategy function. This is a high-impact, hands-on role that focuses on gathering, analyzing, and reporting pricing and revenue data from multiple systems and platforms. This role is a key contributor to the companys pricing strategy by identifying patterns, discrepancies, and opportunities within our data. This position is ideal for someone who is passionate about solving business problems through data, thrives in Excel, and wants to grow in a fast-paced, purpose-driven organization. Key Responsibilities * Data Analysis & Reporting * Aggregate, clean, and analyze data from multiple sources including: * Salesforce (CRM) * Yardi (Property Management System) * Power BI dashboards * Engrain, PCC, NIC Maps, and other internal systems * Develop and maintain Excel-based reports and tools to support pricing decisions and revenue analysis * Identify trends, anomalies, and opportunities across rent, fee, and occupancy data * Build early-stage predictive models to help forecast performance and guide pricing strategy Discrepancy Identification & Root Cause Analysis * Analyze inconsistencies across datasets and systems * Investigate and resolve discrepancies by working closely with other departments (e.g., Sales, Finance, IT) * Proactively flag data quality issues and suggest process improvements System Collaboration & Cross-Functional Support * Serve as the primary point of contact between the pricing team and the Applications/IT Team * Help troubleshoot data feeds, system connections, and report errors * Provide business context for application development needs * Collaborate with internal teams to ensure smooth flow of information and report reliability Portfolio / Regional Support (Growth Opportunity) * Learn to support specific portfolios or regions with pricing and revenue data * Build working knowledge of assigned communities and market conditions * Eventually own reporting and analytics responsibilities for specific business areas Qualifications Required: * Bachelors degree in Business, Finance, Economics, Statistics, Data Science, or related field * Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, data modeling, etc.) * Strong analytical and problem-solving skills * Excellent attention to detail and follow-through * Ability to handle multiple data sources and organize reporting workflows * Eagerness to learn the senior living industry and its pricing drivers Preferred * Experience with any of the following systems: Salesforce, Yardi, Power BI, NIC Maps, Engrain, PCC * Exposure to data visualization or BI tools (e.g., Power BI, Tableau) * Basic experience with SQL, Python, or other programming languages a strong plus * Understanding of pricing or revenue analysis concepts a plus * Prior internship or work experience in a data-heavy or analytical role Key Competencies * Inquisitive & Analytical: Naturally curious with a drive to understand why the data says what it says * Data-Driven: Thrives in Excel and enjoys working with numbers, charts, and trends * Problem-Solver: Enjoys tracking down data issues and recommending solutions * Collaborative Communicator: Able to work across departments and systems with a customer-service mindset * Detail-Oriented: Accurately handles large datasets and ensures report precision * Self-Starter: Takes ownership of projects and asks smart questions to learn faster

COMMERCIAL CONTRACTING CORPORATION OUR MISSION: TO IDENTIFY, HIRE AND RETAIN THE VERY BEST PEOPLE. OUR CORE VALUES KEEP PEOPLE SAFE: We must strive to protect our most valuable asset each and every day. INTEGRITY: We're one team made up of people who are dependable and act with integrity. HUMILITY: We are humble team players who prioritize the mission over personal ego. DRIVE: Our people are passionate about their work, relationships, and success. LOYALTY: We are dedicated to achieving the mission of each project and the overall company. ATTITUDE: We will inspire others to be positive and overcome daily challenges to achieve our mission. CCC was awarded the Top Workplaces USA Award for 2022, 2023, 2024, 2025 and earned the Top Workplaces Regional Awards from the Detroit Free Press from 2017 - 2025. We are proud to offer a very competitive wage and benefit compensation package that includes medical, dental, vision, disability, vacation pay, holiday pay, personal time, employee stock ownership program (ESOP), and a generous 401K program. JOB DESCRIPTION POSITION: DATA ANALYST LOCATION: Auburn Hills, MI OBJECTIVE The Data Analyst plays a crucial role in providing administrative, training, and troubleshooting support for Procore users within our organization. This position assists Project Engineers, Project Managers, and other operations team members in the day-to-day use of Procore, while incorporating core competencies for data analytics/visualization, dashboard creation, programming, macros, Excel files, report building, and database management. This is an in-office role in Auburn Hills, Michigan. Relocation assistance is not provided. U.S. citizenship (either by birth or naturalization) is a requirement to qualify based on DoD government contract compliance. KEY ACCOUNTABILITIES Provide support and efficiently process Procore tickets and requests. Research and troubleshoot user and platform technical issues, ensuring documentation and tracking of issues, solutions. Log and document all solutions to issues and upgrades, incorporating data analytics for insightful problem resolution. Provide end user training on various Procore tools and modules. Collaborate on continuing education initiatives, training users on updates, improvements, and leveraging data analytics tools. Assist in the setup and installation of Procore, utilizing programming skills as needed. Help configure Procore settings to customize the user experience and integrate data analytics functionalities. CORE COMPETENCIES 5-7 years work experience in data analytics is required. Experience in one or more of the following is required: PowerBI, Tableau, SQL, Python, Snowflake. Experience is highly preferred in showcasing expertise in data visualization and analysis. The aptitude to learn and eventually master Procore, focusing on enhancing insights through analytics, utilizing Power BI dashboards and reports. Work effectively as a team member, applying troubleshooting skills and leveraging data analytics in problem solving scenarios. Strong verbal and written communication skills, ensuring effective interaction with various stakeholders during data-driven discussions. Ability to work under pressure for quick and informed decision making in any situation. Provide various levels of support to a diverse group of users. Strong attention to detail is required to ensure accuracy and precision in Procore related activities. Advanced proficiency in Excel, utilizing macros and advanced functions. Intermediate skills in Word. U.S. citizenship (either by birth or naturalization) is a requirement to qualify based on DoD government contract compliance. WORK ENVIRONMENT Fast-paced, busy, and occasionally noisy work environment. May involve managing multiple teammates' requests simultaneously. PHYSICAL REQUIREMENTS Effective and professional communication with supervisors, employees, and others, both individually and in a team setting, is essential. Commercial Contracting Corporation is an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to age, color, race, religion, national origin, sex, sexual orientation, gender identity, protected veteran status, or disability status. Applicants who are offered a position must pass a pre-employment substance abuse test. IJC: OS ST 07232025 NOTICE TO RECRUITERS AND STAFFING AGENCIES Commercial Contracting Corporation and its affiliates and subsidiaries ("CCC") have an internal talent acquisition department. CCC may supplement that internal capability from time to time with assistance from temporary staffing agencies, placement services, and professional recruiters ("Agency"). Agencies are hereby specifically directed NOT to contact CCC employees directly in an attempt to present candidates - only CCC's talent acquisition team are authorized to present candidates to hiring managers. To protect the interests of all parties, CCC will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CCC, including unsolicited resumes sent to a CCC mailing address, fax machine or email address, directly to CCC employees, or to CCC's resume database will be considered CCC property. CCC will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. CCC will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. Agency must obtain advance written approval from CCC's talent acquisition function to submit resumes, and then only in conjunction with a valid fully executed contract for service and in response to a specific job opening. CCC will not pay a fee to any Agency that does not have such an agreement in place. Agency agreements will only be valid in writing and signed by an officer of CCC or authorized designee. No other CCC employee is authorized to bind CCC to any agreement regarding the placement of candidates by Agencies. CCC hereby specifically rejects, and denies any liability under, any agreement purporting to be accepted based on negative consent, negotiation with a candidate, performance, or any means other than the signature of a CCC officer or authorized designee.

We are seeking a manufacturing data analyst with deep experience cleaning transforming and migrating legacy manufacturing and supply chain data into SAP and centralized enterprise platforms. This role supports active manufacturing operations and requires strong understanding of plant data master data governance and operational reporting. This is a hands on role focused on data quality accuracy and usability for manufacturing and supply chain systems. Responsibilities Clean validate and transform legacy manufacturing and supply chain data for migration into SAP Support data migration efforts tied to SAP ERP and centralized data platforms Establish and enforce master data governance standards across manufacturing and supply chain domains Partner with plant operations supply chain IT and finance teams to validate data accuracy Develop operational reports and analytics tied to plant systems and production data Identify data quality issues and drive root cause resolution Support cutover activities and post go live data stabilization Document data definitions rules and processes to support ongoing governance Required experience 5 or more years of experience in manufacturing data analytics or data management roles Hands on experience supporting SAP data migration or SAP master data management Experience working with manufacturing and supply chain data sets Strong understanding of master data governance principles Experience building reports and operational analytics for plant or supply chain systems Ability to work closely with plant operations and IT teams Required qualifications Manufacturing environment experience required SAP experience required Data migration and data quality experience required Hands on execution oriented profile Must have Experience cleaning and migrating legacy manufacturing and supply chain data into SAP Experience with master data governance in manufacturing environments Experience supporting operational reporting tied to plant systems North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country's most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer's most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making. Responsibilities Primary Duties and Responsibilities The Data Analyst, Compliance, is expected to function at an advanced level while performing the following primary duties and responsibilities: Data Strategy & Analytics Collects, cleans, and analyzes data across compliance functions (e.g., complaints, AML, advertising review, agent conduct, privacy, licensing). Builds and maintains data dashboards, metrics, and reporting tools to monitor compliance performance and detect emerging risks. Partners with IT and business teams to automate data extraction and reporting workflows. Compliance Risk Detection & Prevention Develops analytics models and trend analyses to identify patterns of potential misconduct or non-compliance. Supports root-cause analysis of compliance events and partners with business areas to implement corrective actions. Designs and monitors Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for compliance oversight. Reporting & Visualization Prepares executive-level dashboards and board reports summarizing compliance trends and insights. Presents findings in clear, compelling narratives that support strategic decision-making. Ensures data accuracy, integrity, and alignment with corporate governance standards. Cross-Functional Collaboration Collaborates with Legal, IT, Risk, and business partners to enhance the use of analytics in compliance monitoring. Serves as a data liaison for regulatory exams, audits, and internal reviews. Provides consultative analytics support for corporate initiatives and regulatory filings. Innovation & Continuous Improvement Identifies opportunities to enhance efficiency through RegTech, automation, and predictive analytics. Benchmarks compliance data practices against industry standards and best practices. Supports the development of analytical capabilities across the Compliance team. Core Competencies The Data Analyst, Compliance, is expected to function at an advanced level in the following core competencies: Analytical & Technical Expertise: Demonstrates proficiency with SQL, Power BI, Tableau, Excel, or Python/R. Translates complex datasets into meaningful insights. Regulatory Acumen: Understands the life insurance regulatory environment, data privacy principles, and compliance operations. Achieves Results / Bias for Action: Delivers high-quality, data-driven outputs within tight timelines. Demonstrates urgency and precision. Communication & Influence: Simplifies complex data for diverse audiences. Uses data storytelling to influence decisions. Collaboration: Works cross-functionally and effectively balances business and compliance priorities. Innovation: Pursues continuous improvement and emerging data tools that enhance compliance capabilities. Qualifications Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, or related field required; Master's preferred. 5+ years of experience in data analytics, compliance, internal audit, or risk management within financial services or insurance. Demonstrated experience using data visualization tools (e.g., Power BI, Tableau) and databases (e.g., SQL, Access). Knowledge of insurance or financial compliance, regulatory reporting, or data governance preferred. LOMA or AIRC designations desirable. Work Environment Works in a temperature-controlled environment. May be required to work extended hours or weekends to meet deadlines. Essential Job Functions While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to handle or feel, and talk or hear. Specific vision abilities required include close vision, distance vision, color vision, depth perception, and the ability to adjust focus. Reasonable accommodations will be made for otherwise qualified applicants as needed. #LI-Hybrid

**Hybrid:** This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week. **Who You Are:** As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors' development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research. **What You Do:** + Develop connected vehicle data analytics applications for safety, infotainment, and traffic efficiency + Develop and implement new vehicular data analytics applications and services in prototyping systems + Evaluate and analyze the developed protocols, systems and application services either via extensive simulations or via empirical experimental measurements + Participate in government-funded research work, such as the USDOT collaboration projects + Document research work through internal and external publications + Facilitate technology transfer via active participation in cross-functional teams **What You Need:** + U.S. Citizenship + Master's degree in computer science or electrical engineering or civil engineering + Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas + Strong theoretical, experimental or software programming skills **What Would be Even Better:** + PhD degree in a related area + Hands-on experience building empirical systems to develop connected vehicular data analytics systems + Hands-on experience with cloud and edge computing + Hands-on experience with AI/ML data analytics for engineering applications + Demonstrates leadership in field of study, extra-curricular activities, or service organizations **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Vehicle System Data Analytics Intern - ASUX Aptiv is a global technology company that develops safer, greener, and more connected solutions for the automotive industry. We're at the forefront of driving innovation in mobility, working with leading automakers to shape the future of transportation. If you're passionate about cutting-edge technology and want to help create the future of mobility, Aptiv is the place for you. Your Role As a Vehicle System Data Analytics Intern at Aptiv, you'll play a key role in analyzing complex data generated by advanced safety systems, autonomous vehicle features, and user experience technologies. You'll work closely with our engineering and data science teams to derive meaningful insights from large datasets that help optimize vehicle performance, enhance safety features, and improve user experiences. This is an exciting opportunity for someone who is passionate about data, technology, and the future of mobility. What You'll Do: * Analyze large datasets collected from vehicle systems, including ADAS (Advanced Driver Assistance Systems), sensor data, and user interactions, to identify patterns, trends, and opportunities for improvement. * Support the development of data models, algorithms, and visualizations to help engineers better understand system performance and safety outcomes. * Collaborate with cross-functional teams to translate data insights into actionable improvements for vehicle safety and user experience systems. * Assist in building automated reporting tools to provide real-time data insights for vehicle testing and validation. * Perform data cleaning, preprocessing, and validation to ensure data accuracy and reliability. * Help identify and troubleshoot system inefficiencies or issues by interpreting data from testing and real-world driving conditions. * Present findings and recommendations to engineering teams, contributing to the continuous improvement of Aptiv's advanced vehicle systems. What You'll Need: * Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Electrical Engineering, or a related field. * Proficiency in data analysis tools such as Python, R, MATLAB, or similar platforms. * Familiarity with data visualization tools like Power BI, Tableau, or similar. * Passion for working with complex datasets and turning data into actionable insights. * Understanding of automotive systems and interest in advanced safety and user experience technologies is a plus. * Strong problem-solving skills with an analytical mindset and attention to detail. * Excellent communication skills and the ability to work effectively in a collaborative, fast-paced environment. What's In It For You: * Hands-on experience analyzing real-world data from cutting-edge automotive technologies, including advanced safety systems and user experience features. * Exposure to the latest data analytics methodologies and tools used to optimize vehicle performance and safety. * Mentorship from industry professionals who are leading innovation in the automotive sector. * The opportunity to work on impactful projects that directly contribute to the future of connected, autonomous vehicles. * A dynamic, inclusive work environment where your ideas and contributions are valued. Why join us? * You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. * You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents. * You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package. Your Benefits at Aptiv: * Holiday Paid Time Off * Relocation assistance may be available * Discount programs with various manufacturers and retailers * Muti-discipline experience in an Automotive product design and manufacturing major supplier * Meaningful work that makes a difference in the world * Learning and development opportunities * Opportunities to give back to the community Apply today, and together let's change tomorrow! Privacy Notice - Active Candidates: ****************************************************** Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://tinyurl.com/nzn6msu *You can apply through Indeed using mobile devices with this link. Job Description The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses. Requirements M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role. Extensive experience solving analytics problems using quantitative approaches. A proven passion for generating insights from data. Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Fluency with at least one scripting language such as Python, Java, or C/C++. Familiarity with relational databases and SQL. Additional Information All your information will be kept confidential according to EEO guidelines.

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company's core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion. OneMagnify's commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India. You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration. The Lead Data Scientist is responsible for leading the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value. What you'll do: Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support Translate client goals into clear modeling strategies, project plans, and deliverables Guide the development of production-level model pipelines using tools such as Databricks and Azure ML Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications Monitor and improve model performance, ensuring high standards for reliability and business relevance Present complex analytical results to technical and non-technical audiences in a clear, actionable format Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture Promote best practices in model governance, data ethics, and responsible AI What you need: Minimum 5-7 years of experience in data science, analytics, or predictive modeling Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution Strong programming skills in Python, R, or SAS for modeling and data analysis Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS) Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus Expertise in regression, classification, clustering, A/B testing, and audience segmentation Proficiency with Tableau, Power BI, and Excel for data visualization and communication Strong communication skills and the ability to translate complex technical findings into business insight Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred) Benefits We offer a comprehensive benefits package including medical, dental, 401(k), paid holidays, vacations, and more. About us Whether it's awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges. We are an equal opportunity employer We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

** Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. Ready to take your career to the next level? The future of mobility isn't just anyone's job. Make it yours! **Join AUMOVIO. Own What's Next. ** **Job Description** **HOW YOU WILL MAKE AN IMPACT** The Data Analysis Software Intern will be responsible for, but not limited, to the following: + Create and maintain PowerBI visualization reports + Design and document automated data analysis pipelines + Document data sources used in the analysis + Develop applications for process automation and standardization + Develop and maintain a timing plan for the above topics + Maintain meeting minutes and schedule of tasks + Assistance with other tasks as needed and determined by management **Qualifications** **WHAT YOU BRING TO THE ROLE** + Must be currently enrolled in a US accredited degree program pursuing a bachelor's or master's degree in Computer Science, Computer Engineering or equivalent + Must have and maintain a minimum GPA of 3.2 + Minimum Sophomore standing or higher + Programming experience in C#, VBA or similar + Practical knowledge of visualization tools, such as Excel or PowerBI + Strong debugging and troubleshooting skills + Interpersonal and organizational skills - must work well on team + Excellent English (oral and written) communication skills - must be able to communicate clearly and effectively in person, conference calls and in writing + Proficient in Microsoft Office products (Excel, Outlook, Word, PowerPoint) + This is a year-long internship: Up to 40 hours a week during normal business hours (Monday - Friday) over the summer break and a minimum of 20 hours per week while in school. AUMOVIO is not able to pay relocation expenses for this opportunity Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening **Additional Information** EEO-Statement: EEO / AA / Disabled / Protected Veteran Employer. AUMOVIO offers equal employment opportunities to all qualified individuals, without regard to unlawful consideration to race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, veteran status, or any other status protected by applicable law. In addition, as a federal contractor, AUMOVIO complies with government regulations, where they apply, including affirmative action responsibilities for qualified individuals with a disability and protected veterans. To be considered, you must apply for a specific position for which AUMOVIO has a current posted job opening. Qualifying applications will be considered only for the specific opening(s) to which you apply. If you would like to be considered for additional or future job openings, we encourage you to reapply for other opportunities as they become available. Further, AUMOVIO provides reasonable accommodations to qualified individuals with a disability. Ready to take your career to the next level? The future of mobility isn't just anyone's job. Make it yours! ** Join AUMOVIO. Own What's Next. **

Job Title: AI-Enabled Data Analytics Intern Duration: 10 Weeks Summer Internship Cycle: June-August About the Program: Mastronardi offers a structured, 10-week internship program that runs three times per year, during the Spring, Summer and Fall. This internship provides students the opportunity to gain hands-on experience, develop skills, contribute to meaningful projects, and learn from industry professionals. Who We Are: Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now the leading greenhouse vegetable company on the continent. Our award-winning, flavorful produce is packed under the SUNSET brand and is available at leading grocery retailers across North America. Family owned for over 70 years, we pride ourselves on having the most flavorful products and the best people in the industry. We are constantly pushing boundaries to be a leader in fresh produce innovation. We seek individuals that demonstrate our PRIDE values (Passion, Respect, Innovation, Drive, Excellence) to help us fulfill our mission to inspire healthy living through WOW flavor experiences. Values: To perform the job successfully, the incumbent's behavior must be consistent with the PRIDE values expected of all Mastronardi Produce employees: be Passionate; have Respect; be Innovative; be Driven; and strive for Excellence. Primary Function As an AI-Enabled Data Analyst Intern, you will support the design, development, and maintenance of data analytics solutions, with a strong emphasis on leveraging AI agents, large language models (LLMs), and modern AI-powered tools to accelerate insight generation. You will work closely with the Enterprise Data Management team to analyze large datasets, create insightful reports, and develop interactive dashboards that help drive strategic business decisions. This internship offers the opportunity to gain real-world experience in AI-augmented data analysis, business intelligence, and data visualization. You'll develop practical skills in prompt engineering, AI agent workflows, and how AI transforms data-driven decision-making-all while receiving mentorship from experienced data professionals. Primary Responsibilities * Work closely with business stakeholders to understand data needs and requirements, translating them into actionable analytics solutions. * Leverage AI agents and LLM-based tools (such as Claude, ChatGPT, or Copilot) to accelerate data exploration, code generation, documentation, and insight synthesis. * Design and refine prompts to effectively query AI systems for data analysis tasks, report generation, and automated summarization. * Build and experiment with AI-assisted workflows that automate repetitive analytics tasks such as data profiling, anomaly detection, and natural language report generation. * Explore opportunities to integrate AI capabilities into existing BI solutions, including natural language querying and AI-generated insights. * Gather data from databases, Excel, APIs, external data providers, and other sources. * Write and optimize SQL queries to extract, manipulate, and analyze data from relational databases. * Clean, preprocess, and structure data to make it suitable for analysis, reporting, and AI model consumption. * Develop and maintain dashboards, reports, and visualizations using Power BI and other BI tools. * Document data analysis processes, AI prompt templates, methodologies, and findings for future reference and team knowledge sharing. * Prepare presentations, reports, and summaries to communicate key insights and findings to stakeholders, including demonstrations of AI-enhanced analytics capabilities. Education/Background Requirements * Currently enrolled in a bachelor's or master's degree program in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field. * Relevant coursework in data analysis, database management, business intelligence, data visualization, or artificial intelligence/machine learning. Specific Knowledge, Skills, and Abilities * Basic knowledge or experience writing SQL queries to retrieve, manipulate, and analyze data from relational databases (e.g., MySQL, PostgreSQL, SQL Server). * Familiarity with BI tools such as Power BI, Tableau, Looker, or similar platforms. * Hands-on experience or strong interest in using AI agents and LLM-based tools (Claude, ChatGPT, GitHub Copilot, etc.) for coding assistance, data analysis, or content generation. * Understanding of prompt engineering principles-how to craft effective prompts to get accurate, useful outputs from AI systems. * Awareness of AI capabilities and limitations in data analytics contexts, including data privacy and responsible AI considerations. * Strong analytical and problem-solving skills with the ability to interpret data and identify patterns. * Ability to create clear and concise reports, dashboards, and visualizations that tell a compelling data story. * Good communication, presentation, and collaboration skills. * Self-motivated, curious, and eager to learn new tools and technologies-especially emerging AI capabilities. * Previous internship or project experience in data management, AI/ML applications, or a related field is a plus. * A genuine interest in data operations, data analytics, AI-augmented workflows, and data-driven decision-making. What You'll Gain * Practical experience applying AI tools to real business analytics challenges. * Mentorship in both traditional analytics and emerging AI-powered approaches. * Exposure to how a leading agricultural company uses data to drive innovation. * Skills in prompt engineering and AI agent orchestration that are increasingly valuable across industries.

Mars United℠ Commerce is a global commerce marketing practice that aligns people, technology, and intelligence to make the business of our clients better today than it was yesterday. Our worldwide capabilities coalesce into four key disciplines - Strategy & Analytics, Content & Experiences, Digital Commerce, and Retail Consultancy - that individually deliver unmatched results for clients and collectively give them an unparalleled network of seamlessly integrated functions across the entire commerce marketing ecosystem. These disciplines are powered by our industry-leading technology platform, Marilyn, which helps marketers understand the total business impact of their commerce marketing activation, enabling them to make better decisions, create connected experiences, and drive stronger, measurable results. Learn more at **************************** Overview Part of the overall Analytics Group, the Data Science team is responsible for all data modeling, algorithm development, and creating machine learning and AI models. They develop techniques such as regression, classification, clustering, natural language processing (NLP), and more. Additionally, they focus on marketing analytics, using advanced data science techniques to analyze marketing performance, optimize campaigns, and provide actionable insights to enhance marketing effectiveness. ● Core Responsibilities: Data Modeling, Feature Engineering, Sentiment Analysis, Propensity Modeling, CM3, Model Training & Testing, Forecasting, Multi-touch/Data-driven Attribution, etc. ● Primary Tools: Databricks, Azure Synapse, Alteryx, Python, SQL Responsibilities As a Data Scientist, you will leverage your strong technical skills and experience to develop data science and AI solutions. This role requires a deep understanding of data science and machine learning techniques and the ability to collaborate with various teams to ensure data quality and actionable insights. Specifically, the Data Scientist will: ● Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects. ● Work closely with cross-functional teams, including analysts, product managers, and domain experts, to understand business requirements, formulate problem statements, and deliver relevant data science solutions. ● Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources. ● Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems. ● Own and manage complex ETL pipelines to clean, preprocess, and transform large datasets. ● Identify and engineer relevant features to enhance model performance and accuracy. ● Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models. ● Communicate findings and recommendations through comprehensive reports and engaging presentations. ● Support wider agency initiatives. ● Show up - be accountable, take responsibility, and get back up when you are down. ● Make stuff. ● Share so others can see what's happening. Qualifications A Bachelors'/Master's degree in Mathematics, Statistics, Data Analytics, Computer Science, or a directly related field. ● 1+ years of industry experience in a data science/data analysis/statistical analyst role. ● Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using Python/R libraries and SQL. ● Familiarity with relational, SQL, and NoSQL databases. ● Databricks experience is a big plus point. ● Knowledge of statistical analysis tools such as R is a plus. ● Knowledge of scripting in SQL and Python using OOP concepts. ● Experience with PowerBI or Tableau. ● Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. ● Experience in DevOps or MLOps is a plus. ● Experience with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch) is a plus. ● Strong communication skills to effectively convey complex findings to non-technical stakeholders. ● Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams. ● Critical thinking to analyze data and derive meaningful insights. ● Experience in the marketing domain is preferred. ● Ensure the accuracy and reliability of data through rigorous QA processes. ● Validate model outputs to ensure they meet business requirements. ● Conduct unit tests and validation checks on data and models. ● Perform A/B testing to evaluate model performance and impact. ● Document all data analysis and modeling processes. ● Maintain comprehensive records of data sources, methodologies, and results. ● Ensure compliance with data governance and security policies. Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. Compensation Range: $54,910 to $72,300 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/15/2026. All your information will be kept confidential according to EEO guidelines.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

Hybrid: This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week. Who You Are: As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors' development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research. What You Do: * Develop connected vehicle data analytics applications for safety, infotainment, and traffic efficiency * Develop and implement new vehicular data analytics applications and services in prototyping systems * Evaluate and analyze the developed protocols, systems and application services either via extensive simulations or via empirical experimental measurements * Participate in government-funded research work, such as the USDOT collaboration projects * Document research work through internal and external publications * Facilitate technology transfer via active participation in cross-functional teams What You Need: * U.S. Citizenship * Master's degree in computer science or electrical engineering or civil engineering * Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas * Strong theoretical, experimental or software programming skills What Would be Even Better: * PhD degree in a related area * Hands-on experience building empirical systems to develop connected vehicular data analytics systems * Hands-on experience with cloud and edge computing * Hands-on experience with AI/ML data analytics for engineering applications * Demonstrates leadership in field of study, extra-curricular activities, or service organizations About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. Ready to take your career to the next level? The future of mobility isn't just anyone's job. Make it yours! Join AUMOVIO. Own What's Next. Job Description HOW YOU WILL MAKE AN IMPACT The Data Analysis Software Intern will be responsible for, but not limited, to the following: Create and maintain PowerBI visualization reports Design and document automated data analysis pipelines Document data sources used in the analysis Develop applications for process automation and standardization Develop and maintain a timing plan for the above topics Maintain meeting minutes and schedule of tasks Assistance with other tasks as needed and determined by management Qualifications WHAT YOU BRING TO THE ROLE Must be currently enrolled in a US accredited degree program pursuing a bachelor's or master's degree in Computer Science, Computer Engineering or equivalent Must have and maintain a minimum GPA of 3.2 Minimum Sophomore standing or higher Programming experience in C#, VBA or similar Practical knowledge of visualization tools, such as Excel or PowerBI Strong debugging and troubleshooting skills Interpersonal and organizational skills - must work well on team Excellent English (oral and written) communication skills - must be able to communicate clearly and effectively in person, conference calls and in writing Proficient in Microsoft Office products (Excel, Outlook, Word, PowerPoint) This is a year-long internship: Up to 40 hours a week during normal business hours (Monday - Friday) over the summer break and a minimum of 20 hours per week while in school. AUMOVIO is not able to pay relocation expenses for this opportunity Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening Additional Information EEO-Statement: EEO / AA / Disabled / Protected Veteran Employer. AUMOVIO offers equal employment opportunities to all qualified individuals, without regard to unlawful consideration to race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, veteran status, or any other status protected by applicable law. In addition, as a federal contractor, AUMOVIO complies with government regulations, where they apply, including affirmative action responsibilities for qualified individuals with a disability and protected veterans. To be considered, you must apply for a specific position for which AUMOVIO has a current posted job opening. Qualifying applications will be considered only for the specific opening(s) to which you apply. If you would like to be considered for additional or future job openings, we encourage you to reapply for other opportunities as they become available. Further, AUMOVIO provides reasonable accommodations to qualified individuals with a disability. Ready to take your career to the next level? The future of mobility isn't just anyone's job. Make it yours! Join AUMOVIO. Own What's Next.