Data Science Internship remote jobs

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. We're focused on powering opportunities, which is why the Experian Summer Internship Program gives students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in our 'People First' philosophy, our interns experience firsthand our commitment to personal and professional development. Proudly named one of the Top 100 Internship Programs three years in a row, we invite you to join us and explore your potential with a team that's invested in your growth. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Responsibilities: + Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues + Design data structures and storage schemes for efficient handling + Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting + Conduct Return on investment and benefit analysis + Document and present model process and model performance + Currently enrolled in a PhD degree program in CS, Physics, or a related field + Return to school in Fall 2026 to complete degree + Experience in analytics, data mining, or predictive modeling + Experience with regression, Neural Network, or ensemble methods + Proficient in Python, R, Java, C++, or C + Experience with Generative AI and algorithms/applications of Quantum Computing Benefits/Perks: + Fully remote + Volunteer Time Off + Great compensation + Flexible work schedule + Eligible for 401(k) participation in 90 days At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote #EarlyCareers

As the only user-focused observability solution built on OpenTelemetry, Embrace delivers crucial insights across both DevOps, web and mobile teams to illuminate real customer impact - not just server impact - to deliver the best app experiences. Customers like The New York Times, Marriott, Masterclass, Home Depot, and Cameo love Embrace's observability platform because it makes extremely complicated and voluminous data actionable. Our cultural values highlight how we seek to improve as individuals, team members, and a company each and every day. About the Role We're looking for a Data Science Intern to join our team for a 3-month internship focused on uncovering patterns and insights within the billions of mobile and web events that Embrace collects on behalf of its customers' apps. You'll work closely with our product and engineering teams to design and prototype models that detect valuable patterns in user behavior, app performance, and telemetry data-and help translate those ideas into product features that empower web and mobile developers to build better experiences. This is a hands-on, high-impact internship where you'll gain experience applying modern data science and machine learning techniques to large-scale real-world data. What You'll Do Explore, analyze, and visualize large datasets from mobile + web observability data and user session data Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features Present findings to technical and non-technical audiences Contribute to documentation, reproducible notebooks, and internal demos Basic Qualifications Currently enrolled in a Master's program in Data Science, Computer Science, or a related quantitative field Proficient in Python and familiar with key data science frameworks E.g. Pandas/Polars, NumPy, scikit-learn, data visualization libraries such as matplotlib or seaborn Foundational understanding of machine learning concepts (supervised, unsupervised, feature engineering, evaluation metrics) Ability to query and manipulate large datasets using SQL or PySpark Strong analytical and problem-solving skills with attention to detail Excellent written and verbal communication skills Curiosity and enthusiasm for working with large-scale, real-world data Preferred Qualifications Experience working with time-series or event-based data Experience with data visualization tools (e.g., Plotly, Dash, Streamlit, or similar) Familiarity with non-parametric statistics on event-based data Familiarity with deep learning frameworks like PyTorch or TensorFlow and judgement on when to use them Familiarity with cloud data ecosystems (e.g., ClickHouse, Snowflake, BigQuery, AWS, or GCP) Contributions to open-source projects or independent research projects Excitement about learning from experienced engineers and seeing your work influence product direction A love of discovering patterns - and maybe also of Star Wars (or Star Trek ) Compensation: This is a paid internship with an expected hourly rate of $23-$27/hour, depending on experience and program level.

We are a hybrid, remote-office company dedicated to growing our talent anywhere! We have onsite locations in: Sioux Falls, SD, Scottsdale, AZ, Louisville, KY, Troy, MI, Franklin, TN, Easton, PA. At Pathward, we take tremendous pride in our purpose to create financial inclusion for all™. We are a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We strive to remove barriers that traditional institutions put in the way of financial access, and promote economic mobility by providing responsible, secure, high quality financial products. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success. We celebrate, and embrace, our team members through our *HUMBLE*HUNGRY*SMART approach, and we believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. About the Role: Develop and program methods, processes, and systems to consolidate and analyze diverse data sets to generate insights and solutions for customer solutions and program enhancement. Identify and interpret insights from data sources and communicate findings to management. What You Will Do: Gather, clean, and preprocess data from various sources to ensure its quality and usability for analysis. Analyze data using statistical methods and tools to identify trends, patterns, and insights that can inform business decisions. Develop predictive and prescriptive models to forecast future outcomes and optimize business processes. Create reports and visualizations to effectively communicate findings to stakeholders and support decision-making. Work closely with business units to understand their data needs and provide actionable insights that drive strategic initiatives. Monitor and evaluate the performance of implemented models and strategies, adjusting as necessary to improve outcomes. Conduct ad hoc analyses to support various business needs and answer specific questions as they arise. Stay updated with the latest trends and technologies in data analytics and continuously improve analytical methods and processes. Other duties as assigned. What You Will Need: Pursuing a Bachelors' degree in a related field. Record of achievement (academic or otherwise) The responsibilities listed above are not all inclusive and may be changed at any time. Salary range: $14 hourly - $23 hourly The salary range reflects the minimum and maximum target for a new hire in this role. Individual pay within the range will be determined by multiple factors which can include but are not limited to a candidate's experience, qualifications, skills, and location. Your recruiter can share more about the specific salary for your location during the hiring process. Ranges may be modified in the future. This role is also eligible for an annual performance-based incentive opportunity. Pathward offers a comprehensive benefits package for eligible employees, including health insurance, 401(k) retirement benefits, life insurance, disability benefits, paid time off, and more. #LI-Remote Don't have everything listed under qualifications? If you're excited about this role but your experiences don't match exactly to everything in the posting, we encourage you to apply anyway. You may be just the right candidate for this or other Pathward roles. Pathward is an equal employment opportunity employer and considers candidates for roles without regard to their race, sex, national origin, ethnicity, age, disability or any other category protected by law. Who we are: Our commitment to inclusion is woven into our DNA. We believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, transgender status, pregnancy, national origin, age (age 40 and over), disability, genetic information, marital status, hair texture or hairstyle, ancestry, service in the uniformed services, protected veteran status, status as a victim of domestic violence or any other class protected by federal, state and local laws. Please click here to learn more about our benefits and review information about our Privacy Policy, Affirmative Action Plan and other notices. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. For assistance completing an application, please contact a Pathward People & Culture Representative by emailing - ******************** Please click here to view Pathward's Applicant Privacy Notice. Applications will be accepted for a minimum of 3 days after posting, and there is no predetermined date by which applications should be submitted. Knowingly submitting false information will result in disqualification for consideration of future positions, termination of employment and forfeiture of other rights. Candidate Scam Warning We encourage you to be cautious of hiring scams that impersonate Pathward. 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Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAA's ability to detect and prevent fraud on credit card, debit card, check, deposit, digital payments, as well as in other areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction in fraud losses and improvement in Member experience Work with Strategies and Model Management teams to understand and plan model needs Drives continuous innovation in modeling efforts Collaborate with the broader analytics community to share standard methodologies and techniques We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel. What you'll do: Captures, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Consults with peers for mentorship, as needed. Translates business request(s) into specific analytical questions, completing the analysis and/or modeling, and presenting outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal partners to deploy analytical solutions that are aligned with the customer's vision and specifications and consistent with modeling best practices and model risk management standards. Seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are optimally identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years of experience in predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field Experience in training and validating statistical, physical, machine learning, and other sophisticated analytics models. Experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Ability to write code that is easy to follow, well detailed, and commented where vital to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Familiarity with performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Ability to communicate analytical and modeling results to non-technical business partners. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Experience in fraud/financial crimes model development Compensation range: The salary range for this position is: $93,770 - $168,790. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Responsibilities: Provide essential support as a Junior Data Analyst, offering valuable insights for data-driven decision-making, primarily concentrating on retention marketing strategies. Collect, analyze, and interpret data to identify trends and make strategic recommendations for improvement in areas such as product performance, marketing campaigns, customer experience, and customer segmentation. Support the development of retention forecasts and work with other analysts to refine and improve forecasting models. Create reports and dashboards to track key performance indicators. Collaborate with teams across departments to ensure data accuracy and integrity. Other duties as needed. Qualifications: 2+ years of direct and hands-on experience providing solutions. Bachelor's degree in a relevant field (e.g., Business, Marketing, Data Science, or a related field) Excellent analytical and problem-solving skills, detail-oriented, and able to work well within a small, dynamic and data-driven team. Solid understanding of database technologies, data analytics, and reporting tools Strong working knowledge of Excel and Google Sheets required. Solid communication and presentation skills Prior experience with any variant of SQL preferred. Experience with Google Analytics or other web analytical tools preferred Experience with data visualization tools like Looker is preferred. Benefits: 20 Vacation Days 40 Hours Paid Sick Leave Paid Mental Health Days 9 Paid Holidays Life AD&D + LTD Coverage Medical, Dental, Vision, HSA + FSA Employee 401(K) Plan Monthly Utility Allowance Employee Discounts

We are seeking a highly motivated and proactive Intern to join the team. This is a paid internship and is a completely remote position. This role requires the individual to have the aptitude to learn and to participate in the evaluation and analysis of operational metric data. To be successful the candidate must be driven and well-organized, with strong attention to detail. It is essential for this individual to be self-motivated and tenacious, thrive in a collaborative, fast-paced environment, and complete tasks on agreed schedules. Job Description Primary Responsibilities: Work with the team and departmental managers to create a prioritized list of reporting needs within Infrastructure Elicit and analyze needs and translate / document information into reporting requirements Import and build small databases for data mining Acquire data from primary and / or secondary data sources and maintain databases Use statistical methods to interpret data, analyze results, and provide ongoing reporting Use data to create models that depict trends in portfolio financials and operational effectiveness Run database queries in order to support data validation within reports Filter and “clean” data to locate and correct code problems Identify and recommend new ways to meet the Infrastructure reporting Facilitate meetings to review data findings and metrics Develop and update documentation to support new / changes to procedures Develop, generate, maintain and monitor reports and files Consolidate and create monthly decks providing operational metrics and key messages Works under significant supervision of a Manager Qualifications 1 year of Data Analyst experience with a Bachelor's degree or equivalent transferable experience through coursework, internships or work experience. Strong business and technology aptitude with a willingness to learn and understand business and software solutions. Excellent verbal and written communications; ability to communicate and present requirements and issues clearly and concisely Proficient with elaborate / complex MS Excel spreadsheets (e.g. formulas, pivot tables, graphs, etc.) or Access Database Ability to build strong partnerships and to work collaboratively with all business and IT areas. Highly motivated with strong organizational, analytical, and problem solving skills. Strong communication and documentation skills. Ability to effectively prioritize and execute tasks in a high-pressure environment. Financial knowledge and aptitude Ability to effectively use Microsoft Office products to drive data analytics and reporting. Additional Information Pay Type: Hourly Hiring Rate $27.50 Travel Required No Telecommute % 0 Fully Remote Duration: 2 months with option to convert to full time role. All your information will be kept confidential according to EEO guidelines.

This role is with Rockwell Automation. Rockwell Automation uses RippleMatch to find top talent. The Data Science Analyst Internship is an 8-12-week summer internship, geared toward students who want to jumpstart a career in digital transformation and innovation consulting. Data Science Analyst Interns will gain client-facing experience, assume leadership roles among their team, develop meaningful client deliverables, and contribute to internal initiatives and business development. Those who demonstrate an ability to succeed in this role will be automatically considered for a full-time position as an Analyst beginning in the Fall of 2027. Your Responsibilities: Consult with and advise clients across multiple industries on designing and implementing digital technologies to drive business innovation and enhance customer experiences. Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes in our global Digital Data Science & Internet of Things (IoT) capability Develop data models for digital solutions in various industries covering themes like forecasting, risk analysis, customer behavior, timeseries, asset efficiency, predictive maintenance, multi-dimensional correlation, NLP/NLG, Vision AI, and model benchmarking Build scalable tools for processing large data volumes using on-prem, cloud, and hybrid technologies Design and implement machine learning and data management strategies Collaborate with clients and internal stakeholders to develop solutions and contribute to innovative Thoughtware and research Drive internal initiatives and contribute to development of company culture and fellow interns This is a remote position and can be located anywhere in the United States. The ability to travel up to 50% of the time is required. The Essentials - You Will Have: A bachelor's degree in progress from an accredited college or university Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening. The Preferred - You Might Also Have: An undergraduate Computer Science, Data Science, Engineering, Machine Learning, Mathematics, Statistics or similar quantitative degree in progress with a 3.3 cumulative GPA or higher and an expected graduation date of Spring 2027 Previous internship or part-time analytical work experience The ability to organize workstreams, meet project deadlines, and interface with clients through written communication and presentations Demonstrated abilities in leadership and team building Proficiency with Machine Learning model development and mathematical disciplines Experience with R, Python, Scala, D3.js, Tableau, Kibana, HTML5, CSS, Java, .NET languages, ETL/ETLV, Graph/NoSQL, Oracle, and MS SQL Server, RESTful and SOAP Web Services What We Offer Interns: Health Insurance including Medical, Dental and Vision 401k Paid Holidays To learn more about our benefits, please visit ******************* #LI-Remote #LI-DNI For this role, the Salary Compensation is $35/hour. Our benefits for the US can be found here. Actual pay will be based on factors such as skills, knowledge, education, and experience. At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

About Us At Splash, our mission is to make music creation accessible for everyone. Since 2017, we've been at the forefront of AI-driven music technology, building experiences that empower the next generation of creators. Our web and gaming-based music tools, including those on platforms like Roblox, have introduced millions to music production in fun and engaging ways. Backed by leading investors including Amazon's Alexa Fund and Khosla Ventures, we're assembling a team of engineers, designers, musicians, and business thinkers who are passionate about redefining the future of music tech. Applications for internships and graduate roles are open to current MBA students, recent graduates, and those early in their careers. This role will work closely with our Australian team, West Coast timezone is preferred as afternoon work is a must for crossing over timezones. The Role We're looking for a Business Analyst Intern to help us analyze product performance, surface insights, and drive smarter decisions across our web and gaming experiences. This role is perfect for a highly analytical thinker - someone who can dive into tricky data sets, find actionable insights, and help build fast, practical solutions. In this role, you'll work with product leaders, engineers, and designers to interpret user behavior, build dashboards, track product performance, and surface opportunities to make our tools better. You'll also help detect bugs, uncover odd behaviors in our game and web experiences, and suggest improvements that lead to smarter, faster decision-making. If you're a current MBA student, recent grad, or someone with strong business/data analysis experience and are passionate about analytics, creativity, and tech this role may be perfect for you! Please note, we receive a high volume of interest for our roles. To ensure your application stands out please consider the requirements listed, our industry of music, gaming and a growing gen z audience and how your experience will help you succeed in this role. Responsibilities - Build and maintain product dashboards using BI tools like Amplitude, Looker, or similar platforms- Analyze user funnels, retention, monetization, and engagement trends across web and gaming products- Troubleshoot bugs, behavioral anomalies, and data inconsistencies; help explain why things happen and propose fixes for future bug mitigation - Work with limited or partial data (e.g. from game engines) and develop creative workarounds to measure key metrics - Support the product and engineering teams with insights to inform roadmaps, experiments, and design decisions- Identify gaps and opportunities in how we understand user behavior and product vision- Help shape how we collect, visualize, and report on product data and business metrics- Present findings and recommendations to stakeholders in clear, compelling formats Collaborate cross-functionally to improve our data pipelines, tagging strategies, and analytics frameworks- Focus on speed and delivery; we move fast, release updates weekly if not daily. This role is not about large projects over months, rather a continual moving and evolving role that will see you adapting to new releases About You We're looking for someone who thrives in ambiguity, loves turning messy data into insights, and is excited by the idea of working at the intersection of product, analytics, and creative tech. You might be a good fit if you:- Are currently enrolled in an MBA program, recently graduated, or have equivalent business/data experience- Have experience with BI or analytics tools like Amplitude, Looker, Mixpanel, Tableau, or similar (if you haven't used our stack, we'd love to hear about platforms you have used and how you've tackled similar problems)- Are a fast, practical thinker who can define what to measure and how to do it without perfect data Know your way around data dashboards, KPIs, funnel metrics, and user segmentation- Love solving product puzzles and identifying bugs, gaps, or mismatches between expected and actual user behavior- Are comfortable communicating insights to non-technical stakeholders and making data feel accessible and actionable- Are curious, adaptable, and passionate about music, gaming, or consumer applications (or all three!) What to Expect - Work alongside a small but powerful team of experts from companies like Spotify, SoundCloud, Twitch, Amazon, and Apple.- Gain hands-on experience in a startup environment where your contributions directly impact our products.- Get mentorship and exposure to how a product-driven tech company operates.- Collaborate in a dynamic, multidisciplinary team of engineers, musicians, designers, and product experts.- Remote work with a global team *Please note, we are a global team, cross-over hours with US and Australia is a requirement for this role. US West Coast is preferred. Application Process To apply, please include: - Your resume and answers to the questions prompted at application (cover letter optional, as these questions should address our specific criteria)- An online portfolio or any attached examples of dashboards, slide decks, or analytical work you're proud of (optional but helpful!) We receive a high volume of interest for our roles. To stand out, focus on your analytical thinking, your ability to move fast, and how you've used data tools to drive better decisions in messy, ambiguous contexts. Diversity, Equity & Inclusion Music has the incredible ability to bridge divides and bring people together, regardless of their background or identity. Like the industry we work within, diversity, equity and inclusion are at the heart of everything we do. We are committed to creating an inclusive environment where everyone feels valued, respected, and empowered. We actively seek out and welcome voices from all backgrounds and believe that diverse perspectives fuel our creativity and drive success. 🚀 Ready to kickstart your career in music tech? Apply now and let's build the future of music creation together! 🎵 PDF preferred For more info visit splashmusic.com

Direct Persuasion is actively recruiting a highly motivated individual to join our dynamic and ambitious Republican marketing team. As a Junior Data Analyst, you will have the opportunity to support day-to-day setup, collection, harmonization, visualization, and analysis for prominent political campaigns, national committees, faith-based nonprofits, and conservative-minded organizations. This role offers exposure to diverse data platforms and tools, enabling you to make a significant impact on how the team understands client data and campaign trends with digital fundraising, voter outreach, and persuasion initiatives. Responsibilities Handle pulling, cleaning, and organizing data from ad platforms like Meta, Google, X and more, along with Google Analytics 4, Salesforce, and Google Big Query Maintain business intelligence infrastructure across tools like Datorama, Claude, Looker Studio and Google Sheets Complete data audits and analysis to ensure product quality and troubleshoot issues as they arise Assist with data measurement setup like Google Tag Manager, site tracking, client onboarding, and overall performance reviews Qualifications Bachelor's degree preferred, but not required Passion for Republican politics Background in data preferred, but not required Excellent written and verbal communication skills Proficient knowledge of Microsoft Excel and/or Google Sheets Proficient knowledge of Google Tag Manager and Google Analytics 4 Background in BI tools like Datorama, Looker Studio Background in basic SQL or strong willingness to learn Ability to manage multiple task deadlines Organized, flexible, and able to work both independently and with the team BONUS: Proficient knowledge of APIs, ETL tools, AI analytics tools The type of person who thrives at Direct Persuasion Self-starter Adaptable Organized Enthusiastic Competitive Learner Responsible Ambitious Independent Skills Data analysis Problem solving Data storytelling Culture We are a next-generation digital agency with a passion for Republican politics and issue advocacy. Whether it's converting a user to a donor or a citizen to a voter, we will find our client's audience anywhere on the Internet. We can transform their digital campaigns to drive cost efficiency and significant growth by providing a new age full-funnel media solution. As part of this mission, our agency believes in sourcing, training, and empowering only the best humans to help us achieve success. Our friends in the industry have called us fast, iterative, scrappy, and willing and able to try new things, all while remaining smart, kind, and humble amongst all levels of the team. To show our appreciation for our incredible staff, we have generous vacation policies, WFH flex days, commute budgets, team bonding events, and wellness gifts, all which are available to interns should they choose to stay with us in either an in-person or virtual role following graduation. All that being said, we're so excited to welcome new talent and can't wait to start meeting and greeting applicants soon! Benefits Incentive-Based Bonus Structure Comprehensive Healthcare OneMedical Membership Life Insurance 401K Matching Generous PTO Work-from-Home Fridays Dog-Friendly Office Additional Perks Team bondings and vendor outings Networking with others in the Republican digital space Exposure to talented colleagues at technology platforms, news publishers, and data partners

Sparks Wiz Limited is a premier provider of engineering consulting services, delivering innovative solutions to meet the diverse needs of our clients. We are seeking a detail-oriented Data Entry Clerk to join our team and ensure the accuracy and efficiency of our data management processes. Note: This position is strictly open to candidates within the United States. As a Junior Data Analyst at Sparks Wiz Limited, you will support the data analytics team by collecting, analyzing, and interpreting data to help inform business decisions and strategies. You will work closely with senior analysts and consultants to ensure that data-driven insights are accurate and actionable, contributing to the firm's consulting projects and internal operations. Key Responsibilities: Data Collection and Management: Gather and preprocess data from various sources, including internal databases, client data, and external research. Ensure data integrity and accuracy through regular data validation and cleaning processes. Assist in maintaining and updating data management systems and databases. Data Analysis: Perform basic statistical analysis and data mining to uncover trends, patterns, and insights. Create and maintain dashboards and reports to visualize key metrics and findings. Support the development of data models and algorithms for more advanced analytics. Reporting and Presentation: Generate regular and ad-hoc reports for internal teams and clients. Prepare clear and concise presentations of analytical findings and recommendations. Assist in communicating complex data insights in a straightforward and understandable manner. Collaboration: Work closely with senior analysts, consultants, and other team members to understand project requirements and deliver data-driven solutions. Participate in meetings and discussions to contribute insights and support data-related decision-making. Continuous Improvement: Stay updated with the latest data analysis tools, techniques, and industry trends. Identify opportunities to improve data collection, analysis processes, and reporting methodologies. Participate in training and development activities to enhance skills and knowledge. Qualifications: Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Experience: 0-2 years of experience in a data analysis role or a related internship. Experience in an engineering or consulting environment is a plus. Skills: Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous. Basic understanding of statistical methods and data modeling techniques. Strong analytical and problem-solving skills. Good communication skills, with the ability to present data insights clearly and effectively. Personal Attributes: Detail-oriented with a strong focus on accuracy and precision. Eager to learn and grow within the field of data analytics. Ability to work collaboratively in a team environment and manage multiple tasks. Proactive and capable of taking initiative in problem-solving. Preferred Qualifications: Familiarity with data warehousing concepts and tools. Experience with data cleaning and preprocessing techniques. Knowledge of engineering and consulting industry practices. Working Conditions: Remote-based with potential for hybrid work arrangements. Full-time position with standard working hours; occasional extended hours may be required based on project needs. Job Type: Full time Pay: $26.00 - $37.00 per hour Expected hours: 40 hours per week Benefits: 401(k) Dental insurance Health Insurance Life Insurance Paid time off Schedule: Monday to Friday Work location: Remote Note: This position is open to candidates within the United states, San Antonio TX, New York City NY, phoenix AZ and Philadelphia PA. People with a criminal record are encouraged to apply Sparks Wiz Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Package Details 401(k) Dental insurance Health Insurance Life Insurance Paid time off

Job Description Why Work at Mercer Advisors? For 40 years, Mercer Advisors has worked with families to help them amplify and simplify their financial lives. How? By integrating financial planning, investment management, tax, estate, insurance, and more, all managed by a single team. Today we proudly serve over 31,300 families in more than 90 cities across the U.S. Ranked the #1 RIA Firm in the nation by Barron's, we are an independent, national fiduciary legally obligated to always act in the best interest of our clients.* Mercer Advisors offers a distinct work environment that stands out in the financial industry. Our overall employee base and client-facing team are composed of 50% women, reflecting our commitment to diversity. We attract top talent from across the country, with no formal headquarters and flexible working arrangements, allowing us to assemble the best team possible. Join us and be a part of a team dedicated to making a meaningful impact on the financial lives of families across the country. * Mercer Advisors was ranked #1 for RIA firms with up to $70 billion in assets. The Barron's top RIA ranking is based on a combination of metrics - including size, growth, service quality, technology, succession planning and others. No fee was paid for participation in the ranking, however, Mercer Advisors has paid a fee to Barron's to use the ranking in marketing. Please see important information about the ranking criteria methodology here. Job Summary: As a Data intern, you will work collaboratively with fellow colleagues at Mercer Advisors to contribute to critical data projects. As a Data Intern, you can work on various initiatives such as customer attrition analysis, document data models, analytics and AI, and more. Your internship will be filled with opportunities for professional development, mentorship, the chance to apply coursework to real-world experiences, and some fun, too! Essential Job Functions: Collaborate with the data team to develop and implement predictive models for customer attrition analysis. Assist in designing and implementing document models to extract valuable insights from unstructured data sources. Conduct exploratory data analysis to identify patterns, trends, and correlations within large datasets. Support data cleansing, preprocessing, and feature engineering tasks to ensure data quality and relevance for analysis. Communicate findings and insights effectively through visualizations, reports, and presentations. Stay updated on industry trends, best practices, and emerging technologies in data science and analytics. Required Knowledge, Skills and Abilities: Must be enrolled in a Bachelors (as a rising Sophomore, Junior, or Senior) or Master's program in Statistics, Data Science, Mathematics, Computer Science or a related field Solid understanding of data science concepts and techniques, including machine learning, statistical analysis, and data visualization. Proficiency in programming languages such as Python or R for data manipulation and analysis. Familiarity with data manipulation libraries (e.g., pandas, NumPy), machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and data visualization tools (e.g., Matplotlib, Seaborn, Plotly). Strong analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Prior experience or coursework in finance, economics, or related fields is a plus. Working Conditions: Professional office environment, daytime hours, working inside, standing, and sitting, will be assigned to a workstation. Location: This is a remote position. Work Schedule: This is a part-time internship during the spring semester. The intern will be able to work up to 20 hours per week. Duration: The internship will be 10 weeks long. We are looking for an intern to start with us during the 2026 Summer session. Benefits: Mercer Advisors offers a competitive and robust benefit package to our employees. Our benefit programs are focused on meeting all of our employees and their eligible dependents health and welfare needs. We offer the following: Company Paid Basic Life & AD&D Insurance Company Paid Short-Term and Long-Term Disability Insurance Supplemental Life & AD Short-Term Disability; Accident; Critical Illness; and Hospital Indemnity Insurance Three medical plans offerings including two High Deductible Health Plans and a Traditional Co-Pay medical plan. Health Savings Account (HSA) with company contributions on a per pay period basis if enrolled in either HDHP medical plan. Two comprehensive Dental Plans Vision Insurance Plan Dependent Care Savings Account for child and dependent care. 14 Company Paid Holidays with a full week off at Thanksgiving. Generous paid time off program for vacation and sick days Employee Assistance Plan Family Medical Leave Paid Parental Leave (6 weeks) Maternity benefits utilizing company paid STD, any supplemental STD, plus Parental Leave (6 weeks) to provide time for recovery, baby bonding, and enjoying your family time. Adoption Assistance Reimbursement Program Company Paid Concierge Services for you and your loved ones for the spectrum of caring needs for your aging parents, young children, life's challenges and more. 401(k) Retirement Plan with both Traditional and Roth plans with per pay period match Pet Insurance We are not accepting unsolicited resumes from agencies and/or search firms for this job posting. Mercer Advisors provides equal employment opportunity to all applicants and employees without regard to age, color, disability, gender, marital status, national origin, race, religion, sexual orientation, gender identity and expression, physical or mental disability, genetic predisposition or carrier status, or any other characteristic protected by law in accordance with all applicable federal, state, and local laws. Mercer Advisors provides equal employment opportunity in all aspects of employment and employee relations, including recruitment, hiring, training and development, promotion, transfer, demotion, termination, layoff, compensation, benefits, and all other terms, conditions, and privileges of employment in accordance with applicable federal, state, and local laws. If you need an accommodation seeking employment with Mercer Advisors, please email *****************************. This email is for accommodation requests only. Accommodations are made on a case-by-case basis. Applicants have rights under federal employment laws: Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act (EPPA) Equal Employment Opportunity (EEO) U.S. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. Mercer Advisors participate in E-Verify to confirm work authorization. E-Verify Right to Work If you are a resident of California, learn more about Mercer's California Consumer Privacy Policy here. CCPA Notice at Collection

About the job Junior Data Analyst (Remote) As the Data Analyst for the Security Analytics & Innovation team you will help in the development, deployment and administration of Analytical Products as well as Metrics & Reporting that supports the Security strategy, decision making and controls within the organization. To be successful you must be driven and well-organized, with strong learning abilities and be open to creative problem-solving activities. This is an entry level role requiring the individual to have the aptitude to learn and to participate in the activities related to cybersecurity incident response, support, and maintenance activities. If this sounds like you, please keep reading and apply! Primary Responsibilities Create and update policies/procedures and system documentation as it relates to existing and new Analytical products, Metrics & Reporting packages, and Security Controls Map process flows from end to end for research purposes Organize and maintain a Metrics & Reporting Inventory Manage successful Metrics & Reporting Delivery Perform ad-hoc Analysis that contributes to strategy and decision making Aid team supporting Automation maturity efforts Assist with researching Security platform systems and processes Maintain up-to-date knowledge on policies and procedures Work individually and with your team to meet and exceed established goals Schedule and facilitate meetings as needed Job Requirements High School/GED AND two years of Administrative support experience OR Equivalent education/experience. Experience with programming languages such as Python, R Studio, SQL Familiarity in working with structured and unstructured data sources Excellent verbal and written communications; ability to explain project risks and issues, research analysis, and technical concepts clearly and concisely Highly motivated with strong organizational, analytical, decision making, and problem-solving skills Ability to build strong partnerships and to work collaboratively with all business and technical areas. Working Place: New York City, NY

Junior Data Analyst Arsenault is hiring a Junior Data Analyst (Remote) for our NY headquarters. We are seeking exceptional entry-level talent for this role. Desired Skillsets: Willing to provide on the job training Must be a quick learner Skills used in the role: SQL (80% of day) Stored Procedures Ad Hoc Analysis Data Exploration / Cleaning PBI Excel Day-to-day work description: Exploratory Data Analysis Data Cleansing Writing SQL Scripts for Data Warehousing Report Making Ad Hoc Business Analysis ETL writing Live Dashboard creation to support Operations and Executive Decision Making Job fit: Capable of Deep Work Problem Solver Reliable, consistent Attention to detail What We Offer to You: Competitive pay (DOE), including additional target compensation Opportunity to work and grow your career in a fast-paced environment Medical, Dental, Vision Insurance (90% coverage for you and codependents) Life Insurance Flexible spending account Paid time off Vision insurance 401k Open and friendly, professional office environment Who We Are: We have helped thousands of patients take back their lives from mental illness with specialized clinical expertise and the foremost cutting-edge technology available in mental health today. Arsenaults approach to treating mental illnesses is to offer holistic options and treat the whole person by providing an atmosphere of positivity, support, and healing in an outpatient setting. We believe people should live their best lives, and mental health is a substantial segment of total well-being. We bring the same passion we have for improving our patients lives to providing a work experience that will help you do your best work, enjoy the time you invest at work, and succeed in life outside of work. We take our people and culture seriously and make it a priority to invest in both.

supports and performs intermediate level technical work, analysis, research, reporting, data governance and related activities associated with supporting the TFS Scheduling team. Specifically, will focus on supporting efforts associated with planning, scheduling, tracking, and resource forecasting for all maintenance, restoration, and capital project activities to ensure the safe and reliable operation of the Transmission System. Essential Job Functions: Develop, review, and present statistical reports related to work scheduling and adherence, crew utilization, KPIs, etc. Participate in special assignments such as process improvement efforts, standards development, scheduling tool implementation, etc. Develop and provide consistent capital project tracking reports Investigate data irregularities and provide feedback to the Work Run IBM Cognos reports to update resource models with time, labor, dates, etc.. Assist with establishing parameters for measureable data and data validation Gain access and be proficient in researching and pulling data from iTOA, IPS, P6, Ecosys, etc. Collaborate with and provide technical support, as necessary, to TFS work scheduling team Support the development of work scheduling practices and procedures to ensure consistency within the group Education Requirement/Experience: Technical degree and/or Associate Business degree with 2 years of experience in the utility industry preferred A high school diploma or equivalent and 4 years of related utility industry work experience. Additional Requirements: Proficient with Excel, MS Office Tools, SharePoint. Experience with IPS, IBM Cognos, Primavera, PowerBI preferred Able to organize and summarize data Skillful in developing detailed KPI, metrics, and progress reports Must be self-motivated, a good communicator and team focused individual!

We are seeking an ambitious, self-starter to join our team as a Data Analyst Intern. You will be responsible for collecting, analyzing, and reporting on client data. This is a unique opportunity to gain invaluable experience working directly with the senior management to build out the Portfolio Optimization department in a rapidly growing company. Successful interns are given a clear path to full time employment postgraduation. Responsibilities Capture, clean and prepare data and ancillary documents for analysis Analyze and present data and due diligence findings internally and externally Organize and store data and documents to be readily accessed Assist in project management, including engagement strategy, client interactions, planning and scheduling, and tracking deliverables. Continuously improve and automate current processes to perform better analysis and more engagements. Requirements Enrolled full-time or graduated from a major university with a focus on data analytics. Excellent analytical and communication skills, with extensive knowledge of excel. Hardworking and dedicated, with ability to take direction and absorb information quickly. Benefits Work from Here We have the best of both worlds. Our team members have embraced remote work and our Work from home program allows for remote working and the utmost flexibility while keeping in person collaborating thriving in a safe work environment. Our Work from Here approach gives team members a choice to work on campus or remote, leaders can hold in person or virtual team meetings to collaborate and cultivate relationships. We celebrate diversity, equality, and an inclusive environment. 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.

Meet Our Team: Pega Ventures was launched in 2017 as the corporate venture arm of Pega to invest in growing Pega partner companies which have demonstrated success in selling and implementing Pega technologies for customers. With the recent establishment of Pega Launchpad, a B2B SaaS application development platform, Pega Ventures not only supports the growth and success of Pega's partner ecosystem, but also focuses on accelerating the growth of Launchpad developers through the strategic investment of capital and resources. Pega Ventures is a small entrepreneurial team working alongside Pega Launchpad to support Pega's growth objectives through building a premier set of high quality Pega-dedicated partners delivering customer success and driving significant sales impact and Pega-enabled application developers. Picture Yourself at Pega: Pega's internship program is the perfect platform to help students transition their academic knowledge into a successful professional career. We push great students to be better, we encourage them to take on the biggest challenges, and we also believe that great ideas can come from anyone or anywhere, irrespective of hierarchy or location. The purpose our internships are to provide students with the opportunity to gain valuable business skills, work on real-time, impactful initiatives, and collaborate on a global scale, all while earning a competitive compensation. What You'll Do at Pega: This internship will support both the Pega Venture and Launchpad team. You will gain exposure and experience with sales, marketing, finance, legal, venture investing and strategy. Pre-Investment * Perform research and profile software companies to understand their size, focus, objectives, business plans, and fit for Launchpad / Pega Ventures * Perform research and source VC/PE companies for ideal fit in the Venture Alliance Program for Launchpad * Support outreach with Investors, Founders and the startup community to assess investment or partnership * Support investment memoranda preparation and related documentation to support decision-making * Assist in driving new investment/new fund launch Post-Investment * Assist in ad-hoc projects/tasks * Participate and assist in financial modeling * Assist with quantitative executive direction and due diligence * Assist with M&A activity and related research and execution * Help to manage/plan Venture / Launchpad events Other * Research relevant industry and investment events * Support Launchpad marketing campaign * Support Launchpad social media content * Assist in marketing metrics reporting Who You Are: You are passionate about research and providing quality analytic thinking while eager to develop your skills within an enterprise environment. You think outside the box and use your experience for more effective collaboration. * Pursuing BS or BA in Business Administration, Finance, Economics, Marketing or related field. * Excellent research skills and ability to organize, synthesize, and present information and resulting conclusions (both qualitative and quantitative) * Strong analytical skills * Exceptional communication skills and business acumen. Must be comfortable with both email/phone correspondences as there may be a lot of communication back and forth. * Proficiency with Microsoft Office Suite, with emphasis on Excel and Powerpoint * Must be a leader with an action-oriented, problem-solving approach to work * Self-starter, independent and can manage time wisely * Ability to be self-autonomous * Possess curiosity, flexibility and enthusiasm * Works well in an unstructured environment; Comfortable with working remote; Potentially meet once every few weeks in person * Excited about the startup, corporate venture and investment world * Venture or Private Equity experience a plus Pega Offers You: * Opportunity to work with diverse global teams on real-time, impactful projects and initiatives * Potential for full-time offer * Structured manager and mentor program * Competitive salary and perks * Casual and fun environment Additional Information Base salary range for this role is USD annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives. The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions and may vary from the posted range. We will share an information on benefits, bonus/commission, and other pay components for this role at the relevant recruitment stage. Job ID: 22999

Work From Home, Entry Level Data Entry Clerk As A Research Participant We are looking for people who want to work remotely from home. You'll need an Internet connection and a mobile device or computer. We need folks who want to do tasks, micro tasks, work at home opinion panels, online focus groups, product testing, research trials and more. This is not a normal 9-5 job, but a fun way to earn extra cash working from home part time on the fly - work when you want. Apply today for free and start earning. Work from home from any location, any hours, any day. Your choice. All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician Requirements: Education varies by study - all education levels accepted Current USA resident Speak, read and understand English / Spanish a plus as more opportunity is available to you Able to focus and follow through This is a remote work from home part time gig, you'll need a computer, laptop or mobile device. Microsoft Word or Excel helpful as a tool to keep yourself organized, but not mandatory Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory Pay Info: Up to 350 hr. per single study sessions up to $3,000 per multi-session studies We look forward to working with you! Connect with us via email by applying to this posting! This is for those with any work backgrounds such as Amazon, customer service representative, medical professional, drivers, medical receptionist, our folks come from all backgrounds!

WHO WE ARE Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers. Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila. If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you. AFS has received a number of prestigious industry awards, including: * 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards * 2021 Most Innovative Companies - presented by Fast Company * 2021 Best API & Best Trading Technology - presented by Global Fintech Awards ABOUT THIS ROLE We are seeking a highly motivated Business Analyst Intern to join our team. This intern will play an integral role in supporting our efforts to refine workflows, analyze data, and help teams execute efficiently. This role combines elements of strategy development, data analysis, and client implementation support-offering you hands-on experience in executing projects at scale. To be considered, you must be able to commit to a 10-week hybrid internship and work 40 hours per week during our summer program Key Responsibilities: * Support the collection and analysis of client and operational data to ensure that client migrations are smooth, aligned with project timelines, and well-resourced. * Analyze gaps in client readiness for migration and provide recommendations to improve conversion success rates. * Create dashboards and visualizations to track migration progress and client statuses throughout the onboarding process. * Coordinate and communicate with internal teams to gather requirements, resolve bottlenecks, and streamline the migration process. * Work closely with client-facing teams to understand challenges in the migration process and proactively suggest solutions to mitigate risks. Education and Experience: * Currently pursuing or recently completed a degree in Business Administration, Data Analytics, Information Technology, or a related field. * Senior standing, May 2027 graduate * Strong analytical skills and attention to detail, with experience in data analysis. * Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms. * Basic understanding of platform services and metrics creation is a plus. * Excellent communication and teamwork skills for cross-functional collaboration. * Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. * General interest in Fintech. Work Environment: * This internship operates in an office environment. * This internship operates on a hybrid schedule in Austin, TX, Chicago, IL, Dallas, TX, and New York City, NY Salary: * $25 per hour. #LI-DNI Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Our Rewards We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS , we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices. Salary Range $0-$50 The annual base salary range for this position is noted above. Exact compensation offered may vary depending on job-related knowledge, skills, experience, and office location. EEO Statement Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics. Disability Statement Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.

Summer 2026 Internship Opportunity The Plant Conservation Science Internship at Mt. Cuba Center offers an exceptional opportunity to gain hands-on experience in plant research and conservation. As an integral member of the Plant Conservation Science team, interns will participate in field-based research and data collection throughout the region. This position combines extensive fieldwork (60-80% of time) with office-based research and analysis, providing a comprehensive learning experience in plant conservation. Interns will develop practical skills in field survey methods, ecological monitoring, and data management while contributing to real-world conservation efforts. Essential Functions of the Role This dynamic position combines field research with data analysis and project support. The intern will work closely with the Plant Conservation Science team while developing essential skills and knowledge in plant research and conservation. Primary Responsibilities Include Field Research: Conduct plant surveys and population monitoring during the day in primitive field conditions Assist with ecological research project data collection Document plant populations and habitat conditions Support experimental monitoring in forest and meadow settings Participate in habitat assessments and threat evaluation Collect data for ongoing ecological experiments Office-Based Work: Support project preparation through species identification research Assist with data entry and management Participate in team meetings and project planning Contribute to data analysis and interpretation Document research findings and observations Research plant habitat preferences and conservation needs Qualifications and Skills Required Qualifications: Minimum one year of college completed Coursework or planned program of study in ecology, plant biology, horticulture, or conservation Demonstrated interest and curiosity in plants Ability to work outdoors in various weather conditions Ability to work outside and hike on uneven terrain Ability to carry up to 30 pounds Strong attention to detail Ability to work both independently and as part of a team Preferred Qualifications: Prior experience in field work settings Prior plant identification experience Experience with data collection and management Knowledge of native plants and ecological concepts Familiarity with basic research methods Learning Outcomes Interns will develop: Practical experience in field-based plant survey techniques Skills in plant identification and documentation Experience in ecological monitoring methods Data collection and management capabilities Data interpretation skills Professional network within plant conservation A deeper understanding of scientific research methods About the Role: Compensation & Schedule Compensation: $17.00 per hour Duration: May 18 through August 21, 2026 Schedule: 40 hours per week, Monday through Friday Location: Mt. Cuba Center, Hockessin, Delaware Benefits include paid holidays and sick time Housing is not provided Field work transportation provided Opportunities for professional development and networking Interview & Hiring Process We require the following in order to consider your application: Resume Cover letter If you progress through additional stages in the hiring process you can expect to: Complete the online position questionnaire Complete a virtual screening interview Participate in a final interview with the Hiring Manager and interview panel Please note: All applications will be reviewed by our team, and all candidates will receive a status update via email after their application has been reviewed. Due to capacity constraints on our hiring team, we are unable to provide you with a specific status update beyond these parameters. Recruitment Timeline: Application deadline: January 16, 2026 Application review begins: Week of January 19, 2026 Final decisions communicated: Mid-February 2026 Commitment to Diversity Mt. Cuba Center is committed to diversity and inclusivity. We encourage qualified candidates from all cultures and communities to apply. For accommodations or assistance with your application, please email careers[a]mtcubacenter.org.