Data science internship jobs in New York, NY

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.) This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development. Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities. Required skills * Rigor * Motivation * Autonomy * Responsiveness * Team spirit and excellent communication skills * Ability to simplify complex technical concepts * Efficiency Profile * 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science, Statistics, Mathematics, Operations Research, or related field * Prior experience in data science required * Advanced proficiency in Python required * Fluent English essential * Good command of Excel and PowerPoint appreciated Other information * Remuneration based on profile * Monday - Thursday meals provided in Ardian's office * Open to J1/F1 sponsorship To enhance your recruitment prospects and prepare for potential interviews, please consult our Resource Center. There, you will gain access to a wide range of advice, preparatory materials, and testimonials.

Data Analyst Department: Client Operations Reports to: EVP, HUB Operations FLSA: Exempt The Corporate office operating hours are Monday through Friday 8:30 am - 5:00 pm EST. Primary Function: The incumbent is responsible for the data outreach, data capture/loading, and data reporting per specific program requirements. Job Scope and Major Responsibilities: Reach out to member pharmacies to gather missing data, clarify data inconsistencies, and offer technical assistance/expertise if necessary Identify, investigate, and resolve data anomalies using SQL or other statistical analysis software Ensure that Asembia's data reports meet program requirements and are delivered in a timely manner by making necessary changes to improve data accuracy Process daily/monthly/quarterly master data functions as assigned Provide ad hoc data analysis to internal and external parties as requested Append pharmacy data reports to the Asembia database using applicable data rules to ensure quality of input through various stages of the data-loading process. Communicate findings of data investigations and manage expectations for internal and external stakeholders The timely submission of accurate data to appropriate parties. Maintaining a high level of customer service for Asembia's customers - manufacturers and members' pharmacies. Successful collaboration with other Asembia team members to attain a common goal. Attendance and schedule adherence is critical. Adhering to company policies and procedures. Possess a professional demeanor, focused on respectful communication, a positive and reliable attitude, and responsible behavior. This includes dressing appropriately, being punctual, maintaining composure, and demonstrating accountability for your actions. Working outside of core business hours may be required. Other duties as assigned. Compliance with the provisions of the Health Insurance Portability and Accountability Act of 1996 and its implementing regulations, as amended (“HIPAA”). Qualifications: Bachelor's Degree required. B.A./B.S. Information Systems or similar field preferred. Minimum 2 years of experience working with pharmaceutical data in a team-driven environment Advanced Excel skills (building Macros, pivot tables & pivot charts, writing formulas, etc.). Proven track record with taking ownership of data investigations and seeing them through to resolution, preferably using SQL or other statistical analysis. The candidate must have client-facing experience and be able to articulate themselves clearly and concisely in their verbal and written communications. Excellent presentation and collaboration skills. Reliable and consistent attendance and schedule adherence is required. Asembia is committed to Equal Employment Opportunity (EEO) and to compliance with all Federal, State and local laws that prohibit employment discrimination on the basis of race, color, age, natural origin, ethnicity, religion, gender, pregnancy, marital status, sexual orientation, gender identity and expression, citizenship, genetic disposition, disability or veteran's status or any other classification protected by State/Federal laws .

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $201,700 - $267,300 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

The New York Mets are seeking an intern in our Baseball Analytics Department for the summer of 2026. During the summer, the Intern will build, test, and present statistical models to inform the decision-making of our Baseball Operations department. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required. Essential Duties & Responsibilities: Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models Interpret data and report conclusions drawn from their analyses Present model outputs in an effective way, both for technical and non-technical audiences Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project Qualifications: Pursuing a degree in statistics or a related field Professional experience in a quantitative position is a plus Strong background in a wide variety of statistical techniques Strong proficiency in R or Python Strong communication skills Ability to work cooperatively with others The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested. The New York Mets recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to the Organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential. Pay Range: $20-25/hourly For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we've been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. Your Responsibilities As an intern at Ekimetrics, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers.- Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)- Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel- Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics.- Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.- Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations- Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery- Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible- Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science- Actively participate in office meetings, training sessions, and team initiatives- Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment Your ProfileExperience & Technical Skills- 0-2 years of professional experience, including internships or graduate placements- Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field Basic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques- Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics- Ability to work with and clean large datasets while maintaining attention to quality- Nice-to-have experience with Databricks, Azure, or MMM exposure- Proficient in Microsoft Office (Excel, PowerPoint, Word) Soft Skills- Analytical mindset, curiosity, and problem solving skills- Ability to work autonomously while being a collaborative team member- Strong communication skills to engage with clients and internal teams- Interest in business challenges, marketing strategy, and results-oriented thinking- Positive attitude, resilience, and sense of humor$2,800 - $2,800 a month What We Offer:At Ekimetrics, interns receive a monthly stipend of $2,800/mo. Career development and growth opportunities An emphasis on work-life balance Annual seminars and retreats Close knit team with friendly environment, bi-monthly team events and more Work closely with senior analysts and managers to develop technical, analytical, and client-facing skills. The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses. Gain exposure to international clients, multiple industries, and projects with real business impact. Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative. Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

As a Data Scientist Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES * Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling. * Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks. * Help implement data quality checks, validation routines, and monitoring for automated data workflows. * Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices. * Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development. * Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake. * Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL. * Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets. * Participate in model development, including data profiling, model training, validation, and interpretation. * Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk. * Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value. * Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS * Currently pursuing or recently completed a Master's in Data Science, Computer Science, Statistics, Economics, or related field. * Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL. * Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment. * Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development. * Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred. * Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus. * Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects. * Strong analytical, communication, and problem-solving skills. * A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent". #LI-DNI

What is the position? Evercore seeks to hire a Research and Data Analyst for its Strategic, Defense & Shareholder Advisory Team ("SDSA") located in New York, NY. The SDSA team focuses on advising clients with respect to shareholder activism, raid defense, and related situations. Primary Responsibilities: The Analyst will support the Head and COO of the SDSA team and will be responsible for collecting, organizing, and maintaining data on companies, clients, and interactions to support the team's day-to-day activities. This includes managing internal databases, tracking client interactions and key information, and assisting with research and data requests. The Analyst should have a proactive approach to ensure information is accurate, well-organized, and up-to-date. The Analyst will create materials for use in internal meetings and marketing initiatives. The Analyst will also be responsible for coordinating information and events involving external constituents (such as law firms and public company directors) and developing and enhancing firm networks. Specific Qualifications: The Analyst will have strong attention to detail, clear communications style and be proactive, self-directed, creative and resourceful. We are seeking an academically accomplished candidate with the ability to multitask. This position comes with challenging work, an opportunity to work closely with senior leaders, and a demanding environment in a rapidly growing firm. The ideal candidate will have: * One year of professional experience * Strong academic record * An excellent, team-based attitude * Strong work ethic and high energy level * Excellent communication skills (written and verbal) * Proficient in Microsoft Office, specifically PowerPoint and Excel * Exceptional attention to detail * Calm under pressure with a demonstrated track record of successfully managing multiple projects simultaneously * Interest in investment banking, paralegal work, or research/analytical roles encouraged Expected Base Salary Range: $70,000-$90,000 In addition to a competitive base salary, employees may be eligible to receive a discretionary bonus delivered in the form of cash and/or deferred equity. Evercore also offers a variety of benefits and programs, subject to eligibility. These include, but are not limited to: * Medical, prescription, dental, and vision insurance, including healthcare savings and reimbursements accounts * 401(k) Retirement Plan * Life and disability insurance, including additional voluntary financial protection insurance * Well-being resources and programs, including mental health and mindfulness programs, digital wellness platforms, well-being events, and targeted on-site health services * Family-building and family-support benefits * Paid parental, caregiver, marriage and bereavement leave * Commuter benefits, health club membership discounts, and other corporate discounts * Paid holidays, vacation days, personal days, sick days, and volunteer opportunities About Evercore: Evercore (NYSE: EVR) is a premier global independent investment banking advisory firm. We are dedicated to helping our clients achieve superior results through trusted independent and innovative advice on matters of strategic significance to boards of directors, management teams, and shareholders - including mergers and acquisitions, shareholder advisory, restructurings, and capital structure. Evercore also assists clients in raising public, private capital, delivers equity research, equity sales and agency trading execution, in addition to providing wealth and investment management services to high-net-worth individuals. Founded in 1995, the Firm is headquartered in New York and maintains offices and affiliate offices in major financial centers in North America, Europe, the Middle East, and Asia. For more information, please visit ***************** Inclusion and Equal Opportunity Employment: Evercore is an equal employment opportunity employer and does not discriminate against individuals because of actual or perceived race, color, creed, religion, sex, pregnancy, national origin or ancestry, mental or physical disability, age, veteran status, military status, citizenship status, sexual orientation, gender identity or expression, genetic information, or immigration or citizenship status, or any other characteristic protected by applicable law (referred to as "protected status"), in accordance with applicable federal, state and local laws.

Our client is one of the world's premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, credit, and foreign exchange. The core of their effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: A portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher. Responsibilities: Design and own a process of normalizing and sanitizing fundamental data across a wide universe of public companies (based on 10Q, 10K, etc.) Design and own a process of tracking real-time data of corporate bond issuances/redemptions/etc. and other relevant corporate events Conduct independent research of the fundamental data, detecting anomalies and outliers. Prioritize and conduct deep dive case studies In collaboration with the research team, make predictions of capital structure changes and corporate event outcomes Proactively search for alternative, unstructured data sets with signal potential for corporate credit Requirements: Undergraduate degree or higher in Accounting, Economics, Business, or other related discipline 2+ years of work experience as an accountant, financial data analyst, industry analyst, or other related role CPA or CFA is a plus. Coursework in Statistics and Econometrics and skills in empirical data analysis are a plus Some programming skills are a plus (e.g., Python) and a strong self-learner Tenacious, detail-orientated, and organized Strong communication skills Team player, driven and collaborative Thank you for illuminating hiring with Quanta Search! ********************

Join J.P. Morgan's CIB Global Research team and help shape the future of data-driven research by developing advanced data products, tools, and automation for our analysts and clients. As a Research Data Product Associate, you will partner with Research Analysts and Technology teams to source, transform, and deliver public, third-party, and alternative datasets. You'll develop analytical tools, dashboards, and automated workflows that empower both internal users and external clients, driving impactful research and insights across the firm. Job responsibilities Define requirements with Research Analysts, source and ingest datasets, and establish ETL pipelines and data-governance policies. Contribute to the development of an Analyst Workspace with integrated data feeds and enhanced data-discovery and analysis tools. Automate analytics packs and strategize publishing dashboards for external clients; support low-latency equities and options data wrangling and delivery. Identify manual tasks and develop scripts and workflows to centralize and automate data operations on the Research Data Platform. Required qualifications, capabilities, and skills Bachelor's degree in Analytics, Data Science, Computer Science, Finance, or a related field. Proficiency in Python, SQL, and ETL best practices. Experience with dashboarding tools such as Tableau, Power BI, or similar. Strong communication skills and proven ability to collaborate across functions. Preferred qualifications, capabilities, and skills Experience in investment banking or research data platforms. Familiarity with data pipeline and ETL technologies. Experience with the JPMC Athena platform. Knowledge of fixed income, derivatives, economics, and equity market data.

We're an audience-management agency obsessed with retention. Through email and SMS, we blend data science, time-tested tactics, and the latest AI tools to help brands maximize customer lifetime value. The Opportunity You'll be the engine behind our reporting and analytics: building and refining dashboards, dissecting campaign performance, and crafting predictive models. You'll translate data into insights for both our clients and internal teams-accelerating campaign ROI, improving deliverability, and elevating every touchpoint. This is a NY based position, requiring 3 days per week in the NY office. What You'll Do: Analyze & advise: Dive into large email, SMS, and eCommerce datasets to surface trends, pinpoint optimization opportunities, and map them back to client goals. Build & iterate: Create self-serve dashboards and advanced Excel models (VLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS) to monitor KPI and uncover trends Predict & prescribe: Develop predictive and clustering models in Python or R to forecast deliverability, engagement, and churn, then turn insights into action plans. Own the analytics workflow: Streamline on-shore and offshore reporting processes, enforce data-governance best practices, and build proofing checklists to guarantee hygiene and accuracy. Leverage AI: Experiment with AI frameworks to automate repetitive tasks, enrich reporting, and turbocharge data-driven decision making. Collaborate & communicate: Present findings and strategic recommendations to cross-functional teams and clients in clear, compelling narratives. Who You Are: You have a deep passion, curiosity, and understanding of advanced data analysis and a strong business sense You are a self-starter, problem solver, resourceful, and are able to work with limited supervision You are flexible and able to manage multiple tasks and deadlines You are a strong verbal and written communicator and excellent collaborator that values building strong relationships with colleagues, clients, and other stakeholders You have the ability to understand complex topics/processes/problems and explain them to your colleagues in simple terms You are customer, results, and solutions oriented Requirements 1+ year in a data analytics role (marketing, e-commerce, or ad agency preferred), or equivalent graduate degree Bachelor's in Computer Science, Statistics, Math, Economics, or similar Expert in Excel and dashboarding platforms (Looker, Tableau, PowerBI) Demonstrated ability to drive insights and recommendations from large datasets Preferred Skills / Experience: Hands-on experience with email-service-provider platforms (e.g., Klaviyo, Listrak) Programming Experience (SQL, Python, R) A/B testing or conversion rate optimization experience Google Analytics + marketing attribution knowledge Coursework or side-projects in data science, machine learning, or AI Benefits Salary range: $65,000 - $75,000 Unlimited PTO policy Fully covered medical, dental and vision insurance 401k with company match

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

JobID: 210678649 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $100,000.00-$125,000.00 Data and analytics play critical roles for management in navigating today's complex business environment. This is an beginner level data role within the Macro Quantitative Research (QR) team at JP Morgan. The role offers opportunities to work on a variety of data and quantitative macro trading and sales business problems. The team's mission is to bring data-driven decision making and automation to the Macro business. Job Summary: As an Associate in the Data and Analytics Rates team, you will hold a highly visible position within a specialized group of data analysts. You will need to possess analytical insight, strong data discipline, a solid understanding of technology, robust business acumen, and an entrepreneurial spirit to effectively execute and promote results. Additionally, strong communication skills and the ability to bridge the gap between technology, QR, and business users are essential. Job Responsibilities: * Work with the CEM and Rates Trading, Sales and QR to understand solutions needed to solve business problems * Understand and refine current data architectures to persist critical business data across all business lines * Drive standardization across processes and reporting. Suggest and implement controls to improve efficiency & accuracy of existing processes * Develop and enhance existing key management performance analytics and reporting * Help develop predictive analytics to detect changes in data patterns that may be precursor to changes in our business * Pro-actively drive adoption and rollout of business intelligence tools and data APIs. * Develop and maintain models, methodologies and infrastructure such as data pipelines, and associated visuals needed for data projects * Develop data-driven decision making analytics with demonstrable impact Required qualifications, capabilities, and skills: * Advanced degree in quantitative subject (such as engineering, mathematics, physics) * Demonstrable quantitative, problem solving, research and analytical skills * Solid software development skills * Attention to detail and excellent communication skills, both oral and written Preferred qualifications, capabilities and skills: * Familiarity with kdb, and amazon aws cloud * JPMorgan execution systems and trade booking model knowledge * Markets product knowledge / experience * Dashboard visuals experience such as Tableau * AI / ML experience * Derivatives pricing knowledge

Job DescriptionSalary: 24 Common Energy is revolutionizing the energy sector. Our platform enables homeowners and businesses to support new clean energy projects, lower carbon emissions, and save money on their electricity. There is no on-site installation and signing up only takes a few minutes. As such, we are a key part of the solution to mitigate global climate change. Common Energy is backed by one of the countrys leading impact investors. Our board and advisors include executives from across the energy sector, including Google and President Obamas cabinet. Responsibilities: Develop an automated credit allocation system using Python to streamline and enhance efficiency. Optimize data extraction from utility reports and build a centralized database for tracking allocations and key performance metrics. Provide data-driven insights to support cross-functional teams with customer energy allocation analysis. Collaborate across teamsincluding operations, product, and softwareto improve, automate, and scale critical customer processes. Requirements If youre our ideal candidate: You have had at least one relevant data/analysis-focused work experience (full-time or internship) You are pursuing or have completed an MA/MS degree in engineering, science, or a related, data-focused field You are based in New York City Bonus: You have working knowledge of Python in the context of data engineering (or a different language and you are excited to learn Python) Benefits $24/hour during internship period Paid lunch on days in the office Work with the countrys leading experts on renewable energy to save the earth! One mission, one team, no politics

The ideal candidate is a motivated, organized, and creative individual with experience in the finance industry or familiarity with quantitative hedge funds. Job Responsibilities: Analyze business operations and strategies to identify new opportunities. Identify cost reductions to increase net trading revenue. Research global markets and evaluate new trading opportunities. Implement efficient vendor communication and feedback channels. Identify and negotiate business contracts/deals that promote sustained income. Maintain long term relationship and routine communication with business counterparties. Explore new trading related products, conduct initial analysis of data/infra-applicability. Maintain close communication with internal research team. Qualifications: Bachelor's degree in economics or finance, marketing or communication, social sciences or similar. Previous experience as a business development analyst communication emphasized role in a related industry. Experience in identifying profitable business opportunities and potential trading venues/markets. Proven ability to increase competitiveness and market share. Ability to develop and maintain strong vendor relationships. Exceptional interpersonal and communication skills. Strong ability to gather and analyze information, quickly learn new subject areas, and comprehend complex ideas with ease.

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 Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.

We are passionate about our business and our culture, and are seeking individuals with that same drive. & Company Moelis & Company is a leading global independent investment bank that provides innovative strategic advice and solutions to a diverse client base, including corporations, governments and financial sponsors. The Firm assists its clients in achieving their strategic goals by offering comprehensive integrated financial advisory services across all major industry sectors. Moelis & Company's experienced professionals advise clients on their most critical decisions, including mergers and acquisitions, recapitalizations and restructurings, capital markets transactions, and other corporate finance matters. The Firm serves its clients from 23 locations in North and South America, Europe, the Middle East, Asia and Australia. For further information, please visit: *************** A. Position Summary The AI Business Analyst Summer 2026 Intern will help design and deliver AI solutions that address business needs across the Firm. The role involves gathering and documenting requirements, supporting testing and deployment, and evaluating tools and workflows. The intern will work closely with the AI Business Analyst team in a collaborative environment to interface with bankers and key stakeholder groups. Establishing and maintaining good relationships through strong communication is crucial, as this role involves interacting with bankers, Compliance officers, Business Management professionals, vendors, and Information Technology personnel. A successful candidate should demonstrate the capacity to work independently on specific tasks and exhibit strong proficiency in the following areas: analytical thinking (the ability to analyze and logically organize information), organization, communication (both written and verbal), self-motivation, intellectual curiosity, and attention to detail. B. Essential Functions * Partner with bankers and stakeholders to understand business objectives and identify opportunities for AI and automation that enhance productivity and decision-making. * Elicit, document, and interpret requirements for AI-related projects; present findings and recommendations clearly to guide design and implementation. * Translate business needs into user stories and actionable deliverables that enable engineering and data science teams to build solutions. * Evaluate AI-related solutions to ensure they meet business needs and can scale effectively across the organization. * Collaborate with Business Management, Data Science, Engineering, and external vendors throughout the project lifecycle-from requirements and workflow design to testing, deployment, and ongoing support. C. Characteristics The AI Business Analyst Intern should be a creative, detail-oriented thinker with strong interpersonal and communication skills. They should be able to deliver quality work under time constraints and be comfortable working with multiple teams across the organization. The intern should possess the following knowledge and abilities: * Ability to translate business needs into structured, data-informed insights and technology solutions. * Strong analytical thinking, organization, and customer service orientation. * Sound judgment, intellectual curiosity, and adaptability in a fast-paced environment. * Interest in AI, data analysis, and financial technology applications. D. Skills * Excellent communication, organization, and documentation skills. * Basic knowledge of Business Analysis, Data Analytics, or Quality Assurance. * Ability to analyze business systems and processes to identify user needs and automation opportunities. * Familiarity with generative AI tools, large language models, or automation platforms. * Basic exposure to Python, SQL, and/or other data analytics tools preferred. * Familiarity with User Acceptance Testing. E. Education & Experience Candidates should be self-motivated with a strong desire to contribute to the department and company's success. Currently pursuing a Bachelor's degree in a related field. Complete the Suited assessment. Moelis has partnered with the screening platform Suited to help us better understand internship candidates. Suited uses assessments to holistically and objectively understand what makes you unique. In addition to your academic background and experience, the traits and competencies captured by these assessments are predictive of on-the-job success, while reducing bias in the screening process. To learn more about the assessments, please visit: Resource Guide for Investment Banking Candidates. Hourly Pay: USD $36.00 (NON-EXEMPT) We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training. We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.

We are passionate about our business and our culture, and are seeking individuals with that same drive. Moelis & Company is a leading global independent investment bank that provides innovative strategic advice and solutions to a diverse client base, including corporations, governments and financial sponsors. The Firm assists its clients in achieving their strategic goals by offering comprehensive integrated financial advisory services across all major industry sectors. Moelis & Company's experienced professionals advise clients on their most critical decisions, including mergers and acquisitions, recapitalizations and restructurings, capital markets transactions, and other corporate finance matters. The Firm serves its clients from 23 locations in North and South America, Europe, the Middle East, Asia and Australia. For further information, please visit: *************** A. Position Summary The AI Business Analyst Summer 2026 Intern will help design and deliver AI solutions that address business needs across the Firm. The role involves gathering and documenting requirements, supporting testing and deployment, and evaluating tools and workflows. The intern will work closely with the AI Business Analyst team in a collaborative environment to interface with bankers and key stakeholder groups. Establishing and maintaining good relationships through strong communication is crucial, as this role involves interacting with bankers, Compliance officers, Business Management professionals, vendors, and Information Technology personnel. A successful candidate should demonstrate the capacity to work independently on specific tasks and exhibit strong proficiency in the following areas: analytical thinking (the ability to analyze and logically organize information), organization, communication (both written and verbal), self-motivation, intellectual curiosity, and attention to detail. B. Essential Functions Partner with bankers and stakeholders to understand business objectives and identify opportunities for AI and automation that enhance productivity and decision-making. Elicit, document, and interpret requirements for AI-related projects; present findings and recommendations clearly to guide design and implementation. Translate business needs into user stories and actionable deliverables that enable engineering and data science teams to build solutions. Evaluate AI-related solutions to ensure they meet business needs and can scale effectively across the organization. Collaborate with Business Management, Data Science, Engineering, and external vendors throughout the project lifecycle-from requirements and workflow design to testing, deployment, and ongoing support. C. Characteristics The AI Business Analyst Intern should be a creative, detail-oriented thinker with strong interpersonal and communication skills. They should be able to deliver quality work under time constraints and be comfortable working with multiple teams across the organization. The intern should possess the following knowledge and abilities: Ability to translate business needs into structured, data-informed insights and technology solutions. Strong analytical thinking, organization, and customer service orientation. Sound judgment, intellectual curiosity, and adaptability in a fast-paced environment. Interest in AI, data analysis, and financial technology applications. D. Skills Excellent communication, organization, and documentation skills. Basic knowledge of Business Analysis, Data Analytics, or Quality Assurance. Ability to analyze business systems and processes to identify user needs and automation opportunities. Familiarity with generative AI tools, large language models, or automation platforms. Basic exposure to Python, SQL, and/or other data analytics tools preferred. Familiarity with User Acceptance Testing. E. Education & Experience Candidates should be self-motivated with a strong desire to contribute to the department and company's success. Currently pursuing a Bachelor's degree in a related field. Complete the Suited assessment. Moelis has partnered with the screening platform Suited to help us better understand internship candidates. Suited uses assessments to holistically and objectively understand what makes you unique. In addition to your academic background and experience, the traits and competencies captured by these assessments are predictive of on-the-job success, while reducing bias in the screening process. To learn more about the assessments, please visit: Resource Guide for Investment Banking Candidates. Hourly Pay: USD $36.00 (NON-EXEMPT) We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training. We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.