Data science internship jobs in Union, NY

Residential Securitization Analyst Compensation: $90,000-$100,000 base About the Role Our client, a leading firm within the Fixed Income and Securitized Products Group, is seeking a Residential Securitization Analyst to support their U.S. sales, trading, secured lending, and capital markets businesses. This role sits within the Data Analytics team, which serves as the first line of analysis for opportunities across residential assets. You'll work closely with trading, financing, and capital markets teams to analyze, monitor, and report on loan data supporting purchase, financing, sales, and securitization of assets such as newly originated, seasoned, and distressed residential mortgages, as well as other consumer asset classes (auto, student loans, CRE, etc.). The ideal candidate has 1-3 years of public accounting experience (Big 4 or similar firm) with direct exposure to residential securitizations and familiarity with CAS software. Candidates from the mortgage or residential credit space who can contribute with minimal training are highly encouraged to apply. Key Responsibilities Analyze and manage data and reporting for Residential Whole Loan Trading Desk transactions, including bids, purchases, and exits. Support the Secured Lending Group by reviewing loan data for warehouse financing transactions. Partner with the Global Capital Markets team to prepare and analyze data for residential mortgage securitizations. Normalize and clean datasets: perform data validation, quality control checks, and implement calculations to support trading and capital markets activity. Generate and maintain reports, models, and dashboards used to assess performance and support decision-making. Assist with regulatory and CCAR reporting tied to the Residential Whole Loan Trading Desk. Provide accurate and timely reporting to internal teams, clients, vendors, accountants, and rating agencies. Qualifications & Skills 1-3 years of experience at a public accounting firm (Big 4 or similar), ideally with exposure to residential securitizations. Prior experience in the mortgage or residential lending space preferred. Proficiency in Excel; experience with CAS software strongly preferred. Strong quantitative, analytical, and data modeling skills. Excellent verbal and written communication skills. Highly detail-oriented, organized, and able to manage multiple priorities in a fast-paced environment. Ability to work collaboratively across global teams and business units. Experience with PowerPoint; Power BI is a plus. Familiarity with mortgage terms and securitization structures is strongly preferred. Ideal Candidate This position is well-suited for someone with a strong accounting foundation who's looking to deepen their exposure to structured products and residential credit markets. The environment is dynamic and fast-moving, offering hands-on experience with trading, capital markets, and analytics at scale.

We're looking for a detail-oriented professional to join our client's Legal Technology team. In this role, you'll help design, test, and implement tools that make litigation workflows more efficient, from document review and case management platforms to AI-driven analytics and data automation. What You'll Do Support case teams with technology solutions for document review, data processing, and case management. Build and maintain automated workflows using low-/no-code tools and scripting. Partner with internal teams to customize solutions and ensure seamless integration into legal processes. Troubleshoot and resolve technical issues, manage file transfers, and handle structured/unstructured data. Provide training, documentation, and guidance to users on best practices. Contribute to eDiscovery processes, including data collection, processing, review, and production. Experiment with emerging AI and analytics tools to improve legal technology services. What We're Looking For Experience with litigation support or eDiscovery platforms (e.g., Relativity, Nuix, LAW, etc.). Solid background in data handling, automation, or database administration. Familiarity with scripting (Python, Java) and text/data manipulation techniques. Understanding of analytics tools such as TAR, email threading, or concept analysis. Strong problem-solving skills and the ability to explain technical ideas in plain language. Excellent communication, organizational, and project management abilities. Bachelor's degree in Computer Science, Data Analytics, Information Systems, or related field. At least 5 years' experience working with litigation data or database platforms.

NO VISA, AGENCY, OR THIRD PARTY CANDIDTES. MUST WORK DIRECTLY ON W2 Looking for a passionate Data Analyst to turn data into information, information into insight and insight into business decisions. Conduct full life cycle activities to include requirements analysis and design, develop analysis and reporting capabilities, and continuously monitor performance and quality control plans to identify improvements. Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems Work closely with management to prioritize business and information needs Locate and define new process improvement opportunities Required Skills Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (databases, programming, etc.) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings Required Experience 2+ years experience Strong PC skills with advanced knowledge of Excel and Access (Oracle experience a plus)

Working at the Pennsylvania State Education Association (PSEA) can be incredibly rewarding, where members of the largest and most influential public sector union in Pennsylvania join their more than 177,000 voices to make a difference in the lives of students every day and advocate to protect members' pensions, salaries, benefits and working conditions. PSEA is immediately seeking diverse, highly motivated and well-qualified candidates to fill a temporary Organizing and Data Coordinator position located in our headquarters office in downtown Harrisburg, PA. This position provides critical support and assistance to field staff in the development and implementation of a variety of programs that grow membership, build and maintain strong, effective local unions, and help to elect pro-public education candidates. This is a temporary position expected to last 12 months. This position is hybrid eligible but requires at least three days per week in person in Harrisburg. The individual holding this position will provide training and assistance on organizing data tools (e.g. VAN) and will provide field-based support to our labor representatives and organizers during active organizing campaigns. In addition, the position incumbent will be responsible for tracking and assisting staff and leaders with responses to membership drop inquiries. The position incumbent will work extensively within our membership database as well as ancillary and related dashboards and databases. In addition, the position incumbent will continually scan the external environment for developing threats and opportunities to/for PSEA's membership complement and assist in identifying targets and creating organizing strategies to mitigate negative impacts and maximize membership capacity. A bachelor's degree is required. Previous experience in organizing, campaigning, advocacy, and representation, or other related experience is preferred. Must possess a valid driver's operating license as this position may travel across the state and work a flexible schedule. PSEA offers diverse benefits to their employees which include: • Opportunity to work with the largest public-sector union in Pennsylvania. • Competitive salary starting at $104,780 • No-premium Health Care/Prescription drug plan, single, married, or family • No-premium Dental/Vision benefits, single, married, or family • 401(k) plan with employer contribution • Free parking • Generous leave package that includes paid vacation, paid sick time, paid holidays, and paid personal leave. • Training and professional development opportunities • A team working environment. Please send a cover letter and resume to ************* by November 16th. PSEA is an Equal Opportunity/Affirmative Action Employer and actively seeks diverse candidates and those with the ability to work with a diverse range of people.

Duration: 1 year ongoing contract Reason Open: Brand New Opening The Commercial IT Data Analyst will be a key supporting partner to the Commercial IT team and the underlying data infrastructure. This role is focused on ensuring that high-quality, governed data (including customer, promotional and HCP engagement information) is readily available, accurately managed, and structured for advanced analytical modeling. We are looking for candidates with strong foundational data skills and an enthusiasm for tackling complex data challenges. The specialist will help maintain data governance, data pipeline health, and learn to apply the stringent privacy requirements of pharmaceutical marketing (e.g., HIPAA, CCPA) on the job . Key Responsibilities Data Enablement and Pipeline Health (80%) The specialist will contribute to core data functionality, starting with Data Preparation & Feature Engineering where they will collaborate with Data Scientists to identify, extract, and transform raw marketing (from multiple sources and formats) data into high-value features for analytical models and segmentation strategies. Regarding Data Quality & Governance, they will assist in developing and maintaining automated data quality checks, reconciliation processes, and audit trails for all critical marketing data sources (e.g., Veeva, Claims, email, web, owned and 3rd party Digital Engagement), helping to flag and resolve data inconsistencies. For Pipeline Management, they will support the operation and troubleshooting of data ingestion, processing, and consumption pipelines within the Cloud Data Platform (e.g., Snowflake, Azure, GCP, Salesforce), utilizing SQL, Python, and ETL/ELT tools. Finally, Data Documentation requires contributing to comprehensive and up-to-date documentation, including metadata, data dictionaries, and data lineage maps, for all data assets consumed by the team. Cross-Functional Orchestration & Compliance (20%) Under the direct guidance of the Commercial IT Lead, this role serves as the essential technical bridge and liaison across the organization and with external partners. Cross-Functional Alignment requires the specialist to partner with Marketing/Brand teams, CX/Omnichannel OPS, Insights & Analytics (I&A), Commercial IT, and IT Infrastructure to understand business needs, translate requirements into technical specifications, and ensure end-to-end data integrity. Critically, the specialist will support the day-to-day data and technical work with our Partner Managed Service Provider (MSP). This includes ensuring accurate requirements capture, rigorous documentation within the Alation data catalog, and verifying their deliverables meet quality standards and align with internal architecture. In terms of Privacy & Compliance, the specialist will learn and apply standards to ensure all data handling, storage, and processing practices adhere strictly to internal compliance policies and external regulations (e.g., de-identification, access controls). Lastly, for System Integration Support, they will assist with the integration of new marketing technology products (like Salesforce Marketing Cloud or CDP/Data Cloud) by verifying data flows and ensuring proper structure for downstream analytics. Required Qualifications Technical & Platform Proficiency Candidates must demonstrate Strong SQL Proficiency, possessing solid capability in writing efficient SQL queries for data extraction and manipulation, ideally within a cloud-native environment (Snowflake preferred). Programming proficiency (Python or R) is necessary for data analysis and scripting tasks. For Platform Ecosystem Expertise, direct, hands-on experience supporting data pipelines and governance is required, demonstrating expertise in at least one of our key platforms (e.g., Salesforce Data Cloud, Dataiku, Databricks, and Snowflake), or other major Customer Data Platforms (CDPs). They should also have a good foundational understanding of Data Warehousing concepts, ETL/ELT methodologies, and dimensional modeling. Cloud Familiarity is highly valued, showing familiarity with a major cloud provider (AWS, Azure, or GCP) environment.

Salary: $150,000-$175,000 + Bonus Industry: Retail 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.

Invite Only Studios (Chelsea, NYC) Hybrid (On-Site + Remote) Invite Only Studios is a world-class recording facility and creative hub in Chelsea, NYC, home to leading artists, producers, writers, and creative teams. We also operate Crash Dummies Productions (music & creative services) and the School of IO, our music and audio education program. We are seeking a Business Operations & Development Intern to support internal studio administration and assist in the growth of our client, partner, and student networks. This is a hands-on role designed for someone interested in music business, creative operations, entrepreneurship, and relationship-building within the industry. Responsibilities Operations / Administration • Assist with studio scheduling, session coordination, and day-to-day workflows • Maintain CRM + contact databases (labels, artists, educators, clients, students) • Support class operations for the School of IO (rosters, communication, scheduling) • Participate in internal planning, project tracking, and documentation Business Development / Outreach • Assist in outreach to artists, labels, music supervisors, creative partners, and schools • Help identify and research potential new clients, partners, and collaborators • Draft outreach messages, follow-ups, and relationship touchpoints • Support development of proposals, decks, and partnership one-sheets • Learn how to track lead pipelines, convert inquiries, and grow creative networks You will be coached through outreach - you are not expected to “sell” alone. This is structured learning in professional communication and deal flow. What You'll Learn / Gain • How a major recording studio, production team, and creative education program operate • Professional communication, outreach strategy, and client relationship management • Real experience with CRM systems, scheduling tools, project coordination, and pipeline tracking • Exposure to producers, artists, music supervisors, educators, and partners • Mentorship in professional growth, creative industry etiquette, and career direction This internship prioritizes learning, mentorship, and real operational experience, not errands or busywork. Who You Are • Organized, reliable, and detail-oriented • Strong written and verbal communication skills • Comfortable with outreach and building relationships (or excited to learn) • Interested in music, education, studio culture, or creative business • Able to dedicate 10-15 hours/week (hybrid schedule; some in-studio time) Compensation This internship is unpaid and can be taken for academic credit where available. We provide any university documentation needed for credit approval. How to Apply Email a brief introduction + resume or LinkedIn to: oriana@inviteonly.studio Subject: Business Operations & Development Intern - Your Name If relevant, tell us: • What excites you about working in a creative studio environment? • Any experience with outreach, organization, events, or communication (not required).

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.

As a Data Scientist Intern at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. Analytics: You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. Qualifications: Currently is in the process of obtaining a Bachelor's and/or Master's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Curious, self-driven, analytical and excited to play with data Ability to thrive in a fast paced work environment Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Intent to return to a degree-program after the completion of the internship Responsibilities: Perform large-scale data analysis to extract useful business insights. Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups. Work closely with a Product Manager and Engineering team to proactively create rules and manage decisions. Classify leads so that the teams work on the most valuable cases. Suggest improvements in the tools and techniques to help scale the team and/or build 0->1 convictions on new initiatives. Model solutions around what delivers long-run user value to our users

About Global Atlantic Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR's powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit *********************** POSITION OVERVIEW The Risk Data Analytics group reports through the Chief Risk Officer and uses industry-leading machine learning and AI techniques and big data tools to develop predictive models for policy-level transactions and human behaviors. The models are used to develop and price retail products and institutional reinsurance deals, monitor related risk, and to assist in forecasting and financial reporting. The group has a unique vantage point into nearly all aspects of the enterprise and is actively enhancing its capacity, continuing to grow with the whole company. A successful candidate will have an opportunity to work on a variety of projects depending on skill set, interest, and personal goals, and to collaborate with other teams with functions mentioned above. RESPONSIBILITIES Implementing machine learning and optimization tools Developing supervised and unsupervised machine learning models Assisting with ad hoc data analytics projects Assisting the team on developing its automated data pipeline QUALIFICATIONS Strong academic record in pursuit of a Master's degree in top universities with concentrations and/or interests in Computer Science, Engineering, Mathematics, Economics, Quantitative Finance, or other quantitative fields (minimum 3.6 GPA). Graduating in December of 2026 or May of 2027. Background in a technical or scientific field and at least three years/six semesters of programming experience. Knowledge of Python, data structures, relational databases, statistics, regression, and machine learning are required. Proficiency programming in an environment without AI assistance is required. Knowledge of designing and maintaining an enterprise level database is preferred but not required. Knowledge of high-performance computing, such as PySpark, is preferred but not required. Knowledge of Generative AI and relevant tools, such as AWS SageMaker and LangChain, is preferred but not required. Strong analytical, organizational, and communication (written and verbal) skills. Proactive, detail oriented, and deadline driven; possess excellent documentation and analysis skills. Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications. Global Atlantic's Intern Salary is determined through an analysis of similar positions in the external labor market. The Intern Salary is based on an annual rate and will be pro-rated for the 10 weeks of employment. Intern Salary is just one component of Global Atlantic's total compensation package for interns. The Intern Salary for this role is $110,000. #LI-JL Privacy Statement Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills What You'll Bring This position is open to students currently pursuing a full-time Masters degree or PhD and graduating between December 2026 - August 2027. The deadline to apply for this position is November 13, 2025 at 11:59pm ET. Please note this program is evaluative, and interns have the opportunity to receive full-time offers. Our internship program operates in an 'office hub' model. If you receive a full-time offer, you can switch to a different office location outside of these summer hubs for your full-time role. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: Boston Consulting Company ("BCG") is an Equal Opportunity/Affirmative Action employer. All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. The first-year base compensation for this role is: Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD Senior Data Scientist: $190,000 USD In addition to your base salary, you will also be eligible for an annual discretionary performance bonus and BCG's Profit Sharing and Retirement Fund (PSRF) contribution. BCG also provides a market leading benefits package described below. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. #BCGXjob Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

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.

The Data Science Intern will work with a team of data scientists, data engineers, and actuaries. You will learn to apply analytical and software engineering skills to solve business problems arising in mortality risk quantification, insurance pricing, explainable/interpretable machine learning, and ML fairness. Other job function expectations include: using tools such as python, jupyter, git, and communicating outcomes using MS PowerPoint. Pursuing Masters or Bachelor's degree, preferably in a quantitative field (CS, Engineering, Math, Data Science, etc.) Python - should be able to write working python code Probability, statistics, and/or machine learning related coursework Strong academic performance and analytical thinking Hands-on experience with data tools and projects Effective communication and collaboration skills Hybrid work policy - SCOR is committed to an “in-office” culture where people can collaborate, exchange ideas and establish stronger working relationships while still providing flexibility. To support employee work life balance and increase opportunities for employees to excel every day, SCOR operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely. Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future. Pay Range: $22.00 - 24.00 hourly rate. Actual salaries may vary based on various factors including but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees. Participate in an intensive 11-week data science internship and learn how data science is practiced in the industry Work as part of an agile team of data scientists, actuaries, and machine learning engineers Assist data scientists in training/interpreting ML models, and conducting experiments Assist data scientists in writing ML pipelines, while applying SOLID design principles to develop analytics software Assist data scientists in understanding financial impact of machine learning models Research and present a final project to Americas Data Analytics staff

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

Are you ready for an exciting opportunity at Guerrilla? This is your chance to hone your skills, and get hands-on experience at the biggest Game Studio in The Netherlands! INTERNSHIPS AT GUERRILLA At Guerrilla we're a passionate team of creators, storytellers, and innovators who thrive on breaking boundaries and creating adventures that captivate players. As an intern at Guerrilla, you will immerse yourself in the world of game development. From collaborating with industry leaders to working on cutting-edge projects, you'll gain hands-on experience in various aspects of game creation. OUR ANALYTICS TEAM At Guerrilla, our analytics team plays a vital role in shaping the player experience. Working closely with designers, engineers, and producers, they help ensure our games reach the highest standards of quality and engagement. WHAT YOU WILL DO As a data analytics intern, you'll help turn player data into actionable insights that guide design and development decisions. You will: * Collaborate with game designers to identify data needs * Work with coders and technical designers to determine how to best capture gameplay data * Write SQL queries to extract, summarize, and analyze data * Create compelling data visualization (primarily in Tableau) to communicate findings and tell clear, actionable stories * Partner with user research teams to uncover insights, share findings with stakeholders, and recommend data-informed strategies WHO YOU ARE In order to qualify for this internship at Guerrilla, you must be: * Currently enrolled in a Dutch school within a quantitative field (e.g., Mathematics, Statistics, Data Science, Economics, Computer Science) * Able to work on-site in our Amsterdam studio * Available for an Internship during the first half of 2026 * Comfortable with SQL for data manipulation and analysis * Familiar with (or eager to learn) data visualization tools such as Tableau * Comfortable with basic statistical concepts (e.g., correlations, distributions) * A strong communicator with the ability to explain complex data in a clear, accessible way * Analytical, detail-oriented, and eager to learn how data informs creative decisions * Flexible and comfortable working in a fast-changing environment * Passionate about video games and curious about how data influences gameplay, balance, and engagement Additionally, we'd love to hear from you if you have: * Experience working with data from games, apps, or live-service environments * Enjoy online games * Experience with Tableau * Experience with python * Experience with git * Familiarity with machine learning concepts or statistical modeling INTERESTED? If you think you're up for the challenge, we'd love to hear from you! You can apply by hitting the "apply now" button. Be sure to submit your CV, cover letter, and examples of relevant work. The deadline for application submission is 14th November. Please note: This position is based in our studio in the heart of Amsterdam. You must be in commuting distance from the studio and able to work in the Netherlands in order to qualify for the internship At Guerrilla, we believe that our team's varied backgrounds, experiences, and perspectives help us create games that resonate with a diverse audience. As an equal opportunities employer, we strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond as we consider all candidates on the basis of their merit, unique strengths, and perspectives they will bring to the role. Apply now

Application Deadline: November 14, 2025 We encourage you to submit your application as early as possible, as internship applications are reviewed on a rolling basis. Internship Dates: June 8, 2026 - August 14, 2026 (You must be available to work during this period.) About Our Organization Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile, and live events. For more than 130 years, Dow Jones has produced unrivaled quality content and today operates one of the world's largest news-gathering networks. Our portfolio includes leading publications and products such as The Wall Street Journal , Barron's , MarketWatch, Factiva, Dow Jones Risk & Compliance, OPIS, and more. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV). About the Role You will be a part of our Insights and Solutions teams. The Data Analyst intern will be an integral member of the Dow Jones Data Management team in our New York City office. You will support projects of data insights, engineering, and transformation strategy, which in turn supports the larger strategic goals at Dow Jones. This role would support either the Consumer or Professional Information side of the business, which includes Factiva, Risk & Compliance, WSJ, Barron's, MarketWatch and more; but may also include exposure to other areas of the business, such as advertising. This role is hybrid, based in our New York City office. You Will Assist with customer-facing report deliveries, both existing and ad hoc requests Interpret trends from data and work closely with stakeholders to enable them to understand the dynamics behind the data Contribute to the development of daily, weekly, monthly, and quarterly dashboards and assist in building new dashboards using Adobe, Tableau, Google Analytics, or other approved data visualization tools leveraging our own internal data lakes Apply fundamental skills in quantitative analysis, data exploration, and the presentation of data to see beyond the numbers and understand how our users interact with our products Support the company's use of state-of-the art technology end-to-end; from data pipelines, to analysis, models, algorithms and visualization You Have Completed at least 2 years toward your Bachelor's degree in a quantitative subject (Statistics, Engineering, Economics, etc.) BY NEXT SUMMER, YOU WILL BE: either a rising junior or rising senior in your undergrad program. Exposure to data analysis and problem solving with large amounts of diverse data Basic fluency in SQL, Python or knowledge of relational databases and methods for efficiently retrieving data Strong Microsoft Excel skills are required including advanced formulas and functions Effective verbal and written communication skills. Ability to communicate the results of analyses clearly and effectively Demonstrated curiosity to dive into available data and enjoy searching for patterns that could indicate new insights Exposure to cloud infrastructure, such as AWS/S3, is a plus Hands-on coding experience is a plus Salary: $25.00/hour #LI-Hybrid Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at *******************************. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Business Area: Dow Jones - Data & AI Job Category: Administration, Facilities & Secretarial Union Status: Non-Union role Pay Range: 25.00 - 25.00We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process.Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice.For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce..