Data science internship jobs in Millcreek, PA

SystemsAccountants is partnering with a client in the hospitality and entertainment sector to identify a Data Analyst who will join their finance team and drive analytics initiatives across the organization. This role is ideal for someone who thrives on transforming complex data into clear, actionable insights that influence strategic decisions. Location: Hybrid in New York City Compensation: $90,000 $120,000 About the Role The Data Analyst will work closely with stakeholders across departments including Operations, Marketing, Finance, and Food & Beverage to analyze datasets, build models, and deliver reporting that supports data-driven decision-making. This position offers the opportunity to shape analytical best practices and contribute to a culture where data informs every major business decision. Responsibilities Analyze complex datasets using SQL, Python, and BI tools to generate insights that drive business outcomes Design, build, and maintain dashboards, models, and reports that enable leadership and operational teams to make informed decisions Partner with business stakeholders to define problems, establish metrics, and translate questions into structured analytical frameworks Present findings through visualizations, presentations, and narratives that make complex statistical concepts accessible to non-technical audiences Collaborate with Data Engineering to identify high-impact datasets, optimize data structures, and streamline processes for faster insight delivery Mentor junior analysts and contribute to the continuous improvement of analytical standards and practices Qualifications Bachelor's degree in Business, Finance, Economics, Data Analytics, Data Science, or a related discipline Three to five years of experience in analytics, business intelligence, or a related field Advanced proficiency in SQL with demonstrated experience querying large, complex datasets Strong Python skills for data manipulation, analysis, and automation Experience building models and performing analytics outside of Excel Ability to communicate statistical concepts clearly to stakeholders at all levels Experience in gaming, leisure, entertainment, or financial services is highly preferred

A NY-based financial firm is looking for an experienced SQL Server Data Base Analyst to: Manage the mission-critical production environment of mixed editions of Microsoft SQL Servers Troubleshoot performance issues Actively provide guidance and recommendations on best practices in SQL programming Be on call for overnight jobs Requirements Minimum 8 years of hands-on experience in managing Microsoft SQL Server 2012, 2016, 2019, or 2022, including: Installation and configuration Backup-restore job management Server health, job performance, and resource utilization Monitoring Extensive experience in troubleshooting database issues and monitoring the performance of SQL Agent jobs using tools such as dynamic management views and DBCC commands. Extensive experience in SQL performance tuning, including: Analyzing query plan Stored procedure statistics and index optimization Blocking and deadlock detection Resource governance Extensive experience in: Data replication, Failover and disaster recovery, High availability Familiarity with SQL Server features such as log shipping, database mirroring, and transactional replication. Always-on experience a plus. Keywords: Microsoft SQL Servers, DBA, Performance, Troubleshooting, Data Replication, Database Mirroring Please send resumes to Jim Geiger, jeg@analyticrecruiting.com | For more opportunities, please

Machine Learning Data Scientist Length: 6 Month Contract to Start * Please no agencies. Direct employees currently authorized to work in the United States - no sponsorship available.* Job Description: We are looking for a Data Scientist/Engineer with Machine Learning and strong skills in Python, time-series modeling, and SCADA/industrial data. In this role, you will build and deploy ML models for forecasting, anomaly detection, and predictive maintenance using high-frequency sensor and operational data. Essential Duties and Responsibilities: Develop ML models for time-series forecasting and anomaly detection Build data pipelines for SCADA/IIoT data ingestion and processing Perform feature engineering and signal analysis on time-series data Deploy models in production using APIs, microservices, and MLOps best practices Collaborate with data engineers and domain experts to improve data quality and model performance Qualifications: Strong Python skills Experience working with SCADA systems or industrial data historians Solid understanding of time-series analytics and signal processing Experience with cloud platforms and containerization (AWS/Azure/GCP, Docker) POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment. Come see why DPC has achieved: 4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee's Choice - Best Places to Work' by Glassdoor. Voted ‘Best Staffing Firm to Temp/Contract For' seven times by Staffing Industry Analysts as well as a ‘Best Company to Work For' by Forbes, Fortune and Inc. magazine. As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to Self-Identify form today! ******************* Job #18135

Candidates MUST go on-site at one of the following locations Columbus, OH Cincinnati, OH Cleveland, OH Indianapolis, IN Hagerstown, MD Chicago, IL Detroit, MI Minnetonka, MN Houston, TX Charlotte, NC Akron, OH Experience: · Master's degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines · Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Python, R, or SAS SQL and some sort of lending experience (i.e. HELOC, Mortgage etc) is most important Excellent communication skills If a candidate has cred card experience (i.e. Discover or Bread financial ) THEY ARE A+ fit! Education: Master's degree or PhD in computer science, statistics, economics or related fields Responsibilities: · Prioritizes analytical projects based on business value and technological readiness Performs large-scale experimentation and build data-driven models to answer business questions Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence Evangelizes best practices to analytics and products teams Acts as the go-to resource for machine learning across a range of business needs Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s) Coaches' individuals through change and serves as a role model Skills: · Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Ability to train more junior analysts regarding day-to-day activities, as necessary Proven ability to lead cross-functional teams Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) Financial Services background preferred

NYC NY / Hybrid 12+ Months Project - Leveraging Llama to extract cybersecurity insights out of unstructured data from their ticketing system. Must have strong experience with: Llama Python Hadoop MCP Machine Learning (ML) They need a strong developer - using llama and Hadoop (this is where the data sits), experience with MCP. They have various ways to pull the data out of their tickets but want someone who can come in and make recommendations on the best way to do it and then get it done. They have tight timelines. Thanks and Regards! Lavkesh Dwivedi ************************ Amtex System Inc. 28 Liberty Street, 6th Floor | New York, NY - 10005 ************ ********************

Hybrid in Columbia, NJ The data management role involves the architecture and stewardship of the bank data. This role requires understanding of data management topics, design methodologies and tools. The individual in this role must understand structured and unstructured data and can architect the distribution, management, retention and utilization of bank data and content. This role requires moderate to high levels of database administration skills. Key Responsibilities Architecture and stewardship of bank data and content. Understanding of data and content for the purpose of guiding where the data is stored, how it is stored, how it is accessed and how hygiene is maintained. Data hygiene: Architect and document ongoing data hygiene practices to ensure data integrity and routine maintenance. Infrastructure architecture: Understanding of systems and design to be able to support network and server infrastructure. Data Management: Inventory of content related to each application. End-user guidance regarding data hygiene. Project Management: Using PM methodologies practices by the FI, plan, lead and participate in projects for the good of the FI. Vendor Management: Establish vendor needs, requirements and parameters. Engage in selection, onboarding and management of vendors. Practice lifecycle management of vendors. Ensure secure computing practices in multiple vectors including core subject expertise and the wider FI security posture. Actively design and improve security in core subject areas and as part of the whole institution. Priority bridge resolutions and interrupt-driven tasks. Education & Experience Bachelor's degree in computer science, Information Technology or similar experience. Minimum of 4 years of data management experience, preferably in financial services. Experience with Security software, disaster recovery, firewalls, network monitoring, etc. Must have Windows Server administration experience.

NAPCO Media (*************** a subsidiary of PRINTING United Alliance (*************************** is a fast-paced B2B media organization serving the printing, retail, and nonprofit industries. We specialize in the creation and cross-channel distribution of exceptional content on print and digital platforms such as newsletters, magazines, podcasts, social media, and events. Our mission is to build community between the audiences and clients we serve. Role Summary We are seeking a technical, production-focused Data Analyst to cover a 3-month leave. This role requires someone who can immediately take on survey programming, data cleaning, cross-tabulation, and chart creation with minimal ramp-up. This is not a general market research position - candidates must have hands-on experience with the specific tools and workflows listed below. Core Responsibilities Program surveys in SurveyMonkey, including advanced logic, piping, randomization, and QA. Manage collectors, fielding, troubleshooting, and survey flow validation. Clean and structure raw survey data in Excel (remove bad responses, combine datasets, build clean tables). Create segmented databooks (cross-tabs, banner tables) based on internal specifications. Build PowerPoint chart decks using provided templates and brand formatting. Perform QA on surveys, datasets, and charts to ensure accuracy and consistency. Work closely with the research team to deliver accurate, on-time backend outputs. Required Skills Strong, proven experience with SurveyMonkey programming (not just taking surveys - full setup and logic). Advanced Excel skills for cleaning, organizing, and segmenting data. Experience producing cross-tabs and analyzing survey-based datasets. Strong PowerPoint skills, especially charts and visual formatting. High attention to detail, independence, and reliability. Preferred Experience Prior work in research operations, data processing, or survey analytics. Experience with B2B or market research studies. Familiarity with external survey panels (helpful but not required). Experience with Q software (helpful but not required). Assignment Details Schedule: 30-40 hours/week Duration: 3 months Location: Remote Start: ASAP Focus: Pure production work (no client communication or project management) Email resume to ************. We strive to develop and retain a diverse, equitable, and inclusive workplace where all employees feel they are respected, treated fairly and given equal opportunity to excel in their careers. NAPCO Media is committed to providing equal opportunity for employees and applicants in all aspects of the employment relationship, without regard to race, religion, color, age, gender (including pregnancy, childbirth, or related medical conditions), marital status, parental status, sexual orientation, gender identity, gender expression, ancestry, national origin, citizenship, political affiliation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment decisions are decided on the basis of qualifications, merit, and business needs.

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better . We are seeking a Data Scientist for our First Quality facilities located in McElhattan, PA; Lewistown, PA; and Macon, GA. **Must have manufacturing experience with consumer goods.** The role will provide meaningful insight on how to improve our current business operations. This position will work closely with domain experts and SMEs to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements. Principle Accountabilities/Responsibilities Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features Communicate model performance & results & tradeoffs to stake holders Determine requirements that will be used to train and evolve deep learning models and algorithms Visualize information and develop engaging dashboards on the results of data analysis. Build reports and advanced dashboards to tell stories with the data. Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. Proactively mine data to identify trends and patterns and generate insights for business units and management. Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. 5+ years of experience using large scale data to solve problems and answer questions. Prior experience in the Manufacturing Industry. Skills/Competencies Requirements Experience in building and deploying predictive models and scalable data pipelines Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. Strong problem solving and decision-making skills Ability to explain deep technical information to non-technical parties Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. Strong understanding of data governance/management concepts and practices. Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. Proven history managing stakeholder relationships. Business case development. What We Offer You We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive: Competitive base salary and bonus opportunities Paid time off (three-week minimum) Medical, dental and vision starting day one 401(k) with employer match Paid parental leave Child and family care assistance (dependent care FSA with employer match up to $2500) Bundle of joy benefit (year's worth of free diapers to all team members with a new baby) Tuition assistance Wellness program with savings of up to $4,000 per year on insurance premiums ...and more! First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status. For immediate consideration, please go to the Careers section at ******************** to complete our online application.

Industry: Retail Salary: $150,000-$175,000 + Bonus Contact: ******************************** Our client is a prominent player in the Apparel sector, committed to fusing fashion with cutting-edge data and technological solutions. Situated in New York, this organization is on the lookout for a Data Science Manager to drive their Operations Intelligence initiatives within the Data & Analytics department. This critical role is pivotal in leveraging advanced analytics, predictive modeling, and state-of-the-art Generative AI technologies to bolster decision-making across key operational areas such as Planning, Supply Chain, Sourcing, Sales, and Logistics. The selected candidate will oversee the integration of data science methodologies into essential operational workflows, aiming to automate processes, improve visibility, accurately forecast business dynamics, and facilitate strategic planning through insightful data analysis. Requirements A minimum of 6 years of experience in the field of data science, with at least 2 years in a leadership or product-related role. Proven ability to apply analytics in complex operational environments such as planning, supply chain, and sourcing. Strong expertise in Python and SQL, along with a solid grasp of cloud-based data ecosystems. Experience with advanced modeling techniques, including forecasting, optimization, and classification. Familiarity with Generative AI technologies or LLMs, combined with a keen interest in leveraging these for practical business applications. Excellent business acumen and communication skills, facilitating effective collaboration between data insights and strategic goals.

About Us: We are a dynamic, rapidly expanding staffing & recruitment services firm based in Uniondale, specializing in talent placements across IT, Engineering, Finance, and Legal sectors. Our mission is to connect top talent with outstanding opportunities, driving success for both candidates and clients. Internship Overview: We're seeking an enthusiastic, detail-oriented Recruitment & Database Management Intern to join our team. This internship provides a unique opportunity for students to gain practical experience in recruitment, human resources processes, database management, and mass mailing initiatives. Key Responsibilities: Assist with recruitment efforts including sourcing candidates through various platforms such as LinkedIn, Indeed, and job boards. Execute mass mailing campaigns to potential clients and candidates to support our outreach efforts. Maintain and update internal databases, ensuring accuracy and completeness of client and candidate information. Support data entry processes related to candidate tracking, job postings, and client interactions. Collaborate closely with experienced recruiters and team members, providing administrative and logistical support as required. What You Will Gain: Hands-on experience with essential HR and recruitment processes. Insight into the staffing and recruitment industry operations and dynamics. Practical skills in database management, communication, and mass mailing strategies. A comprehensive understanding of job markets and candidate-client relationship building. Enhanced organizational and analytical skills within a professional, fast-paced environment. An excellent foundation for students pursuing careers in HR, staffing, recruitment, business development, or related fields. Qualifications: Current enrollment in an undergraduate or graduate program, preferably in Human Resources, Business Administration, Communications, or related fields. Strong organizational skills, detail-oriented with excellent follow-up capabilities. Effective communication and interpersonal skills. Familiarity with Microsoft Office Suite (Word, Excel, Outlook), Google Suite, and interest in learning CRM and database systems. Ability to multitask and adapt quickly in a dynamic, professional environment. Join us for an enriching internship experience and develop the essential skills to propel your future career in recruitment, human resources, and business operations! The training period or internship is unpaid; however, exceptional performance and successful completion of the internship period may lead to an opportunity for part-time paid work.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. By catering to both consumers and businesses, we're powering a new, open entertainment ecosystem where fans have effortless access to experiences, and teams, venues, and shows have seamless access to their audiences. Because everyone should expect more from ticketing. Make your mark We are hiring Data Analyst Interns to join us for Summer 2026. As a member of the Analytics team, you will develop questions, conduct exploratory analyses, build data models in our data warehouse, and create dashboards in Looker and Mixpanel. Over twelve weeks, you'll work closely with Business, Product, Design, and UX stakeholders, gaining experience with the fast-paced live events industry. Above all, you will develop a deep understanding of SeatGeek's business and help ensure that that understanding is at the heart of our forward-looking strategy. This is a 12-week summer Internship Program with a hybrid work style. You will be expected to be on-site 50% of the week at our corporate office in NYC. What you'll do Develop expertise in core Analytics competencies, including exploratory data analysis, insight generation, reporting, KPI definition, and A/B testing Leverage first-class tooling - including Redshift and dbt - to build and maintain key “end-to-end” data models for stakeholders from production through to our Business Intelligence tool, Looker Communicate key learnings and recommendations to stakeholders in a manner that productively influences decision-making Work with senior members of the Data Team to develop and execute business stakeholder roadmaps Evangelize data expertise, best practices, and documentation within the Data team and in collaboration with our business partners What you have You are a currently enrolled college student set to graduate in the Spring/Summer of 2027, ideally studying economics, psychology, computer science, statistics, mathematics, or another quantitative discipline Experience using SQL Solid business acumen Strong collaboration skills and familiarity with using data points to build a narrative to guide business strategy and inform decisions Experience building reports within a business intelligence tool is a plus Perks $120 a month to spend on tickets to live events Monthly commuter card for transportation Subscription to Headspace Free lunch & snacks is provided every day in the office Weekly planned events like comedy/broadway shows, sports games, museum visits and more Housing stipend **Please note you are expected to come into the SeatGeek New York City Office at least 3 days a week** The compensation for this role is $45/hour USD (based on a 40 hour work week). SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here.

Data Analyst Internship - Summer 2026 Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters are located in Nashua, NH and we have design, sales and manufacturing locations globally. We are currently seeking a Data Analytics Intern to join our team. The position will be located onsite in our Valley Green, PA office. RESPONSIBILITIES: The Data Analytics intern will support the team by helping collect, clean, and analyze data to assist in business decision-making and factory optimization. You will contribute to building data visualizations and reports, maintaining data systems, and monitoring key performance indicators. You'll collaborate with cross-functional teams to understand their data needs and help automate routine data processes while gaining hands-on experience with industry tools and best practices. What you'll do: Gain Experience in some of the following aspects: Assist with collecting, cleaning, and validating data from multiple sources Conduct basic statistical analysis to identify trends and insights Build reports and dashboards to communicate findings Support automation of data collection and reporting processes QUALIFICATIONS: A good candidate should be at least a sophomore in Data Science, Applied Mathematics, Statistics, or Analytics program. Experience in data analytics and visualization tools and software, such as Python, R, SQL, or Power BI Strong analytical and problem-solving skills Ability to communicate with technical & non-technical people

MarshBerry is growing! We are seeking a Data Analyst Intern to join our team. We have a people first, fast paced, collaborative culture with plenty of opportunity for growth. MarshBerry has been successful in achieving growth objectives because the trust our clients place in our talented team of professionals, and all MarshBerry colleagues play a critical role in directly or indirectly cultivating those trusted relationships. MarshBerry provides an environment where employees can learn, improve and realize their career goals. We offer competitive benefits, hybrid work schedules, new challenges, and learning experiences. Job Details Position Summary: MarshBerry is seeking a Data Analyst Intern on the Intellectual Capital Team in our Beachwood, OH office. The primary responsibilities will include updating Intellectual Capital core data and assisting with carrier mapping audits. The position will be involved with the testing and implementation of our upgraded performance benchmarking database. The Intern will have the opportunity to work with consultants and learn about other MarshBerry products and services. Responsibilities: Analyzing data and developing questions based on the information. Testing and updating core data within the Intellectual Capital team. Assisting with carrier mapping audit. Periodically performing ad hoc queries of data. Cultivates and maintains effective relationships with potential internal/external clients, partners and stakeholders that can directly or indirectly lead to revenue generation for all MarshBerry services. Additional projects and tasks as assigned. Selection Criteria Education & Experience: Candidates pursuing a Bachelor's Degree in Business Administration, Finance, Accounting or Economics are preferred. College students at the junior and senior level are preferred. Other: Strong communication and analytical skills. Proficiency in Microsoft Excel and other software programs. Working at MarshBerry Who We Are: MarshBerry practices The Collaborative Way which encourages employees to adhere to these five principles: listening generously, speaking straight, being for each other, acknowledgement & appreciation, and honoring commitments. We are committed to fostering an environment of Diversity, Equity, and Inclusion. We strive to educate our current and potential employees in these areas, while continuing to promote a welcoming and inclusive environment for all. What We Do: MarshBerry provides consulting services in the financial services industry primarily to independent insurance agents, brokers and carriers, as well as wealth and retirement plan advisors. Our services include but are not limited to financial, operational, sales management, merger and acquisition advisory, peer-to-peer exchange and information services. We are recognized in the financial services industry for providing innovative and customized solutions to our clients, with whom we build trusted advisor relationships. At MarshBerry, our mission is to help our clients learn, improve and realize their value. Our clients credit us for providing the vision, tools, and discipline to help them reach their strategic goals. It's one thing to be recognized as experts in our field, it is another to be noteworthy based on the sentiment and feedback of our team. MarshBerry has recently been awarded the following: Crain's Best Employers in Ohio The Nation's Best and Brightest in Wellness North Coast 99 Top Work Places - The Plain Dealer Weatherhead 100 West Michigan's Best and Brightest Companies to Work for To learn more about MarshBerry, visit ******************* We appreciate your interest in MarshBerry. As an equal opportunity employer, your application will be considered with regard to all laws which prohibit discrimination because of race, color, sex, religion, national origin, age, disability, military status, and genetic information, and requirements to take affirmative action in the hiring of minorities, including women, veterans, and those individuals with disabilities.

Shape your future with a dynamic internship experience at New York Life. We offer opportunities across a variety of exciting businesses, including Actuarial, AI & Data, Finance, Investments, Technology, Underwriting, and more. Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, mentorship programs, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey. Program Overview: Launch Your Career in a Technology, Data, and AI-Driven Organization with Purpose and Impact! Join us as a Technology Analyst Summer Intern for an immersive 11-week experience where innovation, collaboration, and real-world impact intersect. As part of our dynamic Technology, Data, AI & Ventures department, you'll gain hands-on exposure to cutting-edge projects that drive our digital transformation, while exploring potential career paths in Technology! Throughout the summer, you'll deepen your technical skills, expand your professional network, and receive mentorship and guidance from experienced professionals and senior leaders. Our program combines meaningful project work with learning and development opportunities designed to prepare you for success beyond graduation. You'll connect with a diverse cohort of interns, collaborate on a team-based capstone project, and contribute to our commitment to social good by participating in our Volunteer for Good initiative. Whether you're building innovative solutions, leveraging AI and automation, or reimagining the future of work, you'll play a vital role in helping us shape what's next in technology. This internship is more than just a summer job-it's a steppingstone toward becoming a future-ready technology professional, with the opportunity to convert to a full-time role after graduation. About the Internship Join us for 11 weeks as a Technology Analyst Intern, where you'll: Work on real-world technology projects that support our business Learn how AI and automation are transforming financial services Collaborate with teams across the company to solve meaningful problems Participate in intern socials, mentorship, and Volunteer for Good community events Engage in a group capstone project with other Technology, AI & Data Interns What You'll Do As a Technology Analyst, you'll: Help redesign processes and document improvements Support product owners with feature development and testing Analyze data and trends to help drive decisions Create dashboards and reports to monitor performance Recommend ways to improve operations using smart technologies What We're Looking For Required: Rising senior or graduate student pursuing a degree in Business, Computer Science, or related field Interest in financial services and emerging technologies like AI Strong communication, analytical, and problem-solving skills Preferred: GPA of 3.2 or higher Experience documenting technical or business requirements Why New York Life We're one of Fortune's World's Most Admired Companies, driven by a mission to serve communities and help people achieve financial security. As an intern, you'll join a collaborative, inclusive culture where innovation is encouraged, and AI is shaping the future of work. Applications reviewed: On a rolling basis Interviews begin: Mid-September To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, this program is not available to those authorized to work under optional practical training (OPT) or curricular practical training (CPT). Curious what it's like to intern at NYL? Check out #NYLEarlyCareers on LinkedIn! #Techcampus #LI-CV1 Pay Transparency Salary Range: $30-35/hour + $3,000 housing stipend Overtime eligible: Nonexempt Discretionary bonus eligible: No Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Our Diversity Promise We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of ******************** #Techcampus

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: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

As a Data Analyst Intern, you will support the company's data-driven decision-making process by analyzing large amounts of data related to consumer behavior, trends and patterns. You will have the opportunity to work with a team of experts and gain valuable insights into the retail industry while developing your skills and knowledge in data analytics. This is a part-time internship position that requires excellent attention to detail, critical thinking and problem solving skills and the ability to work independently in a fast-paced environment. Responsibilities Assist in collecting, cleaning and transforming large data sets from various sources. Analyze and interpret data to identify trends and insights related to consumer behavior, market trends, and sales patterns. Assist in building and maintaining reporting and visualization tools to communicate data insights to key stakeholders. Develop and maintain dashboards, data visualizations, and other reporting solutions. Conduct ad hoc data analysis to support business needs. Collaborate with cross-functional teams to identify opportunities for improvement, provide data-driven insights and recommendations to support strategic decisions. Requirements Currently enrolled in or recently graduated from a Bachelors or Masters degree program Strong analytical and problem-solving skills. Ability to work independently and in a team-oriented environment. Excellent attention to detail and accuracy. Proficient in Microsoft Office Suite, especially Excel and PowerPoint. Familiarity with SQL, Python, or R programming languages. Benefits We are committed to providing an environment of mutual respect where equal employment opportunities are extended to all employees and applicants for employment. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. All aspects of employment are decided on the basis of qualifications, competence, merit, and business needs. We are proud to be an equal opportunity employer.

About : City Wonders is a dynamic and innovative company. We are committed to excellence and offer exciting opportunities for interns to gain valuable experience in the field of data analysis. Position Overview: Are you a detail-oriented and analytical individual with a passion for data? Wonders is seeking a talented Data Analyst Intern to join our team. This internship provides a unique opportunity to work closely with our data professionals, learn valuable skills, and contribute to meaningful projects. Key Responsibilities: Collaborate with the data team to collect, clean, and analyze data from various sources. Assist in creating and maintaining reports and visualizations to track key metrics. Support data-driven decision-making by providing insights and recommendations. Help maintain data quality and accuracy through regular audits and checks. Learn and apply data analysis tools and techniques. Participate in team meetings and contribute to data-related discussions. Qualifications: Currently pursuing or recently graduated with a degree in Data Science, Statistics, Business Analytics, or a related field. Strong analytical skills and attention to detail. Good communication skills and the ability to work effectively in a team. Eagerness to learn and adapt to new data analysis methodologies. Benefits: Gain practical experience in data analysis within a supportive and collaborative team. Exposure to real-world data and business challenges. Opportunity to build a professional network.

As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation. Responsibilities Collect, clean, and organize large datasets for analysis Perform quantitative and qualitative analysis to identify trends and patterns Support investment team in evaluating potential investment opportunities Assist with financial modeling and forecasting Conduct market research to identify industry trends and competitive landscapes Create and maintain databases and analytical tools Prepare reports and presentations for senior management and investors Requirements Strong analytical and problem-solving skills Proficiency in Excel and data analysis tools such as Python or R Excellent attention to detail and ability to work with large datasets Knowledge of financial modeling and valuation techniques Strong verbal and written communication skills Ability to work independently and within a team Self-motivated and eager to learn about venture capital and private equity

MISSION The Parallax Advanced Research Mission is to deliver innovative research and provide technology, human, and business solutions via The Science of Intelligent Teaming™ for government, industry, and academic clients with critical challenges. The Data Analytics Intern will play a key supporting role in advancing the visibility, efficiency, and impact of the OnRamp Hub's programming for the Defense Innovation Unit (DIU), Department of War (DoW) mission partners, and non-traditional industry innovators. This intern will work closely with the team to gather, analyze, and visualize data to inform strategic decision-making, optimize program operations, and enhance stakeholder engagement across various initiatives. This is an exciting opportunity for a student with interests in national security, innovation ecosystems, or dual-use technologies to gain hands-on experience in data analytics, impact evaluation, and program support within a fast-paced, dynamic, and mission-driven environment. This internship is available immediately and will run until the end of the current academic year (May 2026), with a potential to extend through the summer or fall semesters of 2026 (December 2026). ESSENTIAL DUTIES AND RESPONSIBILITIES The responsibilities of this role include, but are not limited to: Data Collection and Analysis Support • Assist in collecting, cleaning, and organizing data from a variety of sources related to OnRamp Hub programming, outreach, and stakeholder engagement. • Conduct basic data analysis to identify trends, measure performance, and generate insights to inform strategic decisions. • Support the development of dashboards, reports, and data visualizations to communicate key findings to internal and external stakeholders. Program Evaluation and Reporting • Support the tracking and evaluation of key performance indicators (KPIs) for events, programs, and partnerships. • Analyze survey responses and qualitative feedback to assess program effectiveness and identify areas for improvement. • Assist in preparing data-driven reports and presentations that summarize program impact and outcomes. Program Operations Support • Collaborate with team members on maintaining accurate and up-to-date data in internal systems and spreadsheets. • Help streamline data workflows and documentation practices to improve team efficiency and data integrity. • Provide general support for project coordination, scheduling, and administrative tasks related to analytics and program operations. • Support other duties as assigned. QUALIFICATIONS (KNOWLEDGE, SKILLS, AND ABILITIES) • Currently enrolled in a degree program in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, Economics, or a related field. • Strong analytical and problem-solving skills with an interest in turning data into actionable insights. • Familiarity with data analysis tools such as Excel, SQL, Python, R, or data visualization platforms like Tableau, Power BI, or Google Data Studio. • Detail-oriented with the ability to manage and interpret quantitative and qualitative data accurately. • Excellent written and verbal communication skills, with the ability to present data clearly to both technical and non-technical audiences. • Interest or experience in program evaluation, reporting, or research in innovation, national security, or technology ecosystems is a plus. • Ability to manage multiple tasks and deadlines in a fast-paced, team-oriented environment. • Availability to work a minimum of 10 hours and up to 20 hours per week on site. • Must be a US citizen with no need for sponsorship. PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. **This is an on-site role based in Columbus, OH.** The position requires: • Ability to sit, type, and participate in virtual or in-person meetings. • Occasional lifting, bending, and walking short distances. • Ability to lift and carry up to 20lbs short distances. • Strong cognitive focus and communication skills for multitasking, scheduling, and facilitation. Reasonable accommodations will be made in accordance with ADA regulations Parallax Advanced Research is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.