associate, digital finance transformation - data scientist - private equity performance improvement (open to all us locations)

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data scientist i, integrity

data scientist intern

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 
 As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
 
 
 
 
 
 
 
 We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
 
 
 
 
 
 
 
 What you'll do:
 
 <li>
 Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
 </li>
 <li>
 Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
 </li>
 <li>
 Design and execute A/B experiments to measure the impact of product features and algorithmic changes
 </li>
 <li>
 Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
 </li>
 <li>
 Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
 </li>
 <li>
 Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
 </li>
 <li>
 Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
 </li>
 
 
 
 
 What we're looking for:
 
 <li>
 Passion for using data and experimentation to solve complex problems
 </li>
 <li>
 Intermediate to advanced SQL skills for data querying and analysis
 </li>
 <li>
 Familiarity with / building to proficiency in Python
 </li>
 <li>
 Strong foundation in statistics, probability, and machine learning fundamentals
 </li>
 <li>
 Understanding of data structures and algorithms
 </li>
 <li>
 Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
 </li>
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 
 The compensation range listed above is representative of the hourly rate offered.
 
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 
</div>

Data Scientist Intern

Data Scientist, Product Analytics

Create Music Group

<div>Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP&rsquo;s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide. 
Job Summary
We are building CreateOS &mdash; a next-generation operating system for modern record labels &mdash; and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI &amp; ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&amp;A catalog valuation forecasting, AI-driven A&amp;R discovery, and marketing automation agents &mdash; each directly tied to revenue growth and competitive differentiation. 
Responsibilities
Applied Machine Learning<ul><li>
Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&amp;R intelligence, marketing performance, etc.)</li><li>
Partner with Analytics &amp; BI to identify, engineer, and validate features that drive meaningful predictive power</li><li>
Own the full ML lifecycle &mdash; from problem framing and data exploration through training, evaluation, deployment, and monitoring</li></ul>
MLOps &amp; Production Engineering<ul><li>
Deploy and monitor models in production using modern MLOps tooling</li><li>
Instrument models for performance tracking, drift detection, and continuous improvement</li><li>
Implement CI/CD, automated testing, model versioning, and observability for all ML systems</li><li>
Collaborate with Data Engineering to ensure data quality, feature delivery, and pipeline reliability</li></ul>
Agentic AI &amp; LLM Systems (Stretch)<ul><li>
Develop and maintain modular AI agents that automate multi-step workflows across CreateOS (contracts, accounting, distribution, metadata)</li><li>
Build and iterate on RAG pipelines, retrieval architectures, and semantic search systems grounded in structured business data</li><li>
Implement guardrails, evaluation frameworks, and safe action boundaries for agentic systems</li></ul>
Collaboration &amp; Communication<ul><li>
Translate business problems from non-technical stakeholders into well-scoped ML solutions</li><li>
Document model design decisions, evaluation results, and known limitations clearly</li><li>
Contribute to a culture of engineering rigor and responsible AI development</li><li>
Other duties as assigned</li></ul>
Qualifications<ul><li>
2+ years of software engineering experience in a production environment, with exposure to ML or data science work (academic, professional, or project-based); OR 2+ years of experience specifically as an ML Engineer or Applied Data Scientist</li><li>
Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, XGBoost, or similar)</li><li>
Hands-on experience building, deploying, and monitoring models in cloud environments &mdash; GCP strongly preferred (AWS or Azure acceptable); familiarity with services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run is a strong plus</li><li>
Solid understanding of modern ML techniques &mdash; supervised/unsupervised learning, time series forecasting, embeddings, ranking &mdash; and their mathematical foundations</li><li>
Experience with LLMs and prompt engineering, including building RAG systems or LLM-powered features</li><li>
Comfortable working with structured and unstructured data at scale</li><li>
Strong communication skills with the ability to explain complex model behavior to non-technical audiences</li></ul>
Preferred Qualifications<ul><li>
MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field &mdash; candidates using this role as their entry point into ML engineering are encouraged to apply; OR 2+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree</li><li>
Experience at a startup or high-growth technology company where you owned features end-to-end</li><li>
Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)</li><li>
Background in music, media, entertainment, or rights/royalties data</li><li>
Experience with ontology design, knowledge graphs, or semantic data modeling</li><li>
Contributions to open-source ML projects or published research</li><li>
Familiarity with AI evaluation practices &mdash; hallucination detection, bias auditing, model explainability</li></ul>
Pay Scale<ul><li>
$160,000 - $200,000 per year</li><li>
The final compensation within this range will be determined based on the candidate&rsquo;s experience, skills, and overall fit for the role.</li></ul> 
Fair Chance Policy
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</div>

Machine Learning Engineer

Tiger Analytics

<div>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities: 
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul> 

Requirements 
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with CPG Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</div>

Lead Data Scientist(CPG)- Data Science

UCLA Health

<div><div>Description
Under the general supervision of the preceptor and executive sponsor, the Graduate Administrative Intern supports performance improvement initiatives, project management activities, complex analyses, and the development of organizational policies, procedures, and cost‑benefit evaluations across the Health System. The intern is responsible for completing assigned tasks accurately and on time, conducting research, and providing administrative support as needed. Participation in departmental meetings is expected to enhance learning and overall internship experience.
This internship provides hands‑on exposure within Pharmacy. The intern will contribute to projects that directly support organizational growth, including strategic marketing initiatives, enterprise-level business planning, and cross‑functional goal development. This role is ideal for individuals interested in the intersection of healthcare operations, strategy, and marketing, with a desire to make a meaningful, system‑wide impact.
Key Responsibilities
Graduate Administrative Interns will engage in a variety of professional, developmental, and experiential activities, including but not limited to:<ul>
<li>Department‑scoped projects serving in a variety of operational or analytical roles</li>
<li>Cohort‑based and team‑based project work</li>
<li>Experiential learning, shadowing, and facility tours</li>
<li>Journal clubs and intern‑led educational sessions</li>
<li>Active participation in building a collaborative, inclusive intern cohort culture</li>
</ul>
Program Overview
The UCLA Health Graduate Administrative Internship is a hands‑on, action‑oriented program designed to provide exposure to core areas of healthcare delivery. Interns will:<ul>
<li>Work directly with senior leaders and project sponsors</li>
<li>Participate in a variety of enterprise‑wide initiatives</li>
<li>Observe and learn from operations across the health system</li>
<li>Contribute to high‑impact projects aligned with organizational priorities</li>
</ul>
At the conclusion of the internship, interns will present their project work to UCLA Health senior leadership, demonstrating the knowledge, skills, and insights gained throughout the program.
This year&rsquo;s program offers internship opportunities across several key departments. Each intern will be paired with a department preceptor who will guide project work and professional development. The full intern cohort will also participate in shadowing experiences, executive‑facilitated discussions, and community‑building activities.
Application Instructions
Application Deadline: March 23, 2026, 11:59 PM PST 
Please review the instructions below prior to selecting Apply Now.
Applicants must upload the following documents as part of the online application:
1. One‑Page Cover Letter
Please address the following:<ul>
<li>Why you are interested in pursuing an internship with UCLA Health</li>
<li>Your top three goals for the summer internship, including specific areas of interest</li>
</ul>
2. Current Resume
Your resume should include:<ul>
<li>Undergraduate GPA</li>
<li>Graduate school GPA (if available; if not, it may be submitted later)</li></ul> 
</div><div>Qualifications 

If you are enrolled in a Master&rsquo;s degree program in health care administration, business administration, nursing, public health, health informatics, or a related field with a projected graduation in or after September 2026, you are eligible to apply to become a UCLA Health Administrative Intern.</div></div>

Graduate Administrative Intern - Pharmacy

<div><div>Description
Under the general supervision of the preceptor and executive sponsor, the Graduate Administrative Intern supports performance improvement initiatives, project management activities, complex analyses, and the development of organizational policies, procedures, and cost‑benefit evaluations across the Health System. The intern is responsible for completing assigned tasks accurately and on time, conducting research, and providing administrative support as needed. Participation in departmental meetings is expected to enhance learning and overall internship experience.
This internship provides hands‑on exposure within Patient Access Organization (PAO). The intern will contribute to projects that directly support organizational growth, including strategic marketing initiatives, enterprise-level business planning, and cross‑functional goal development. This role is ideal for individuals interested in the intersection of healthcare operations, strategy, and marketing, with a desire to make a meaningful, system‑wide impact.
Key Responsibilities
Graduate Administrative Interns will engage in a variety of professional, developmental, and experiential activities, including but not limited to:<ul>
<li>Department‑scoped projects serving in a variety of operational or analytical roles</li>
<li>Cohort‑based and team‑based project work</li>
<li>Experiential learning, shadowing, and facility tours</li>
<li>Journal clubs and intern‑led educational sessions</li>
<li>Active participation in building a collaborative, inclusive intern cohort culture</li>
</ul>
Program Overview
The UCLA Health Graduate Administrative Internship is a hands‑on, action‑oriented program designed to provide exposure to core areas of healthcare delivery. Interns will:<ul>
<li>Work directly with senior leaders and project sponsors</li>
<li>Participate in a variety of enterprise‑wide initiatives</li>
<li>Observe and learn from operations across the health system</li>
<li>Contribute to high‑impact projects aligned with organizational priorities</li>
</ul>
At the conclusion of the internship, interns will present their project work to UCLA Health senior leadership, demonstrating the knowledge, skills, and insights gained throughout the program.
This year&rsquo;s program offers internship opportunities across several key departments. Each intern will be paired with a department preceptor who will guide project work and professional development. The full intern cohort will also participate in shadowing experiences, executive‑facilitated discussions, and community‑building activities.
Application Instructions
Application Deadline: March 23, 2026, 11:59 PM PST 
Please review the instructions below prior to selecting Apply Now.
Applicants must upload the following documents as part of the online application:
1. One‑Page Cover Letter
Please address the following:<ul>
<li>Why you are interested in pursuing an internship with UCLA Health</li>
<li>Your top three goals for the summer internship, including specific areas of interest</li>
</ul>
2. Current Resume
Your resume should include:<ul>
<li>Undergraduate GPA</li>
<li>Graduate school GPA (if available; if not, it may be submitted later)</li></ul> 
</div><div>Qualifications 

If you are enrolled in a Master&rsquo;s degree program in health care administration, business administration, nursing, public health, health informatics, or a related field with a projected graduation in or after September 2026, you are eligible to apply to become a UCLA Health Administrative Intern.</div></div>

Graduate Administrative Intern - Patient Access Organization (PAO)

<div><div>Description
Under the general supervision of the preceptor and executive sponsor, the Graduate Administrative Intern supports performance improvement initiatives, project management activities, complex analyses, and the development of organizational policies, procedures, and cost‑benefit evaluations across the Health System. The intern is responsible for completing assigned tasks accurately and on time, conducting research, and providing administrative support as needed. Participation in departmental meetings is expected to enhance learning and overall internship experience.
This internship provides hands‑on exposure within Performance Excellence. The intern will contribute to projects that directly support organizational growth, including strategic marketing initiatives, enterprise-level business planning, and cross‑functional goal development. This role is ideal for individuals interested in the intersection of healthcare operations, strategy, and marketing, with a desire to make a meaningful, system‑wide impact.
Key Responsibilities
Graduate Administrative Interns will engage in a variety of professional, developmental, and experiential activities, including but not limited to:<ul>
<li>Department‑scoped projects serving in a variety of operational or analytical roles</li>
<li>Cohort‑based and team‑based project work</li>
<li>Experiential learning, shadowing, and facility tours</li>
<li>Journal clubs and intern‑led educational sessions</li>
<li>Active participation in building a collaborative, inclusive intern cohort culture</li>
</ul>
Program Overview
The UCLA Health Graduate Administrative Internship is a hands‑on, action‑oriented program designed to provide exposure to core areas of healthcare delivery. Interns will:<ul>
<li>Work directly with senior leaders and project sponsors</li>
<li>Participate in a variety of enterprise‑wide initiatives</li>
<li>Observe and learn from operations across the health system</li>
<li>Contribute to high‑impact projects aligned with organizational priorities</li>
</ul>
At the conclusion of the internship, interns will present their project work to UCLA Health senior leadership, demonstrating the knowledge, skills, and insights gained throughout the program.
This year&rsquo;s program offers internship opportunities across several key departments. Each intern will be paired with a department preceptor who will guide project work and professional development. The full intern cohort will also participate in shadowing experiences, executive‑facilitated discussions, and community‑building activities.
Application Instructions
Application Deadline: March 23, 2026, 11:59 PM PST 
Please review the instructions below prior to selecting Apply Now.
Applicants must upload the following documents as part of the online application:
1. One‑Page Cover Letter
Please address the following:<ul>
<li>Why you are interested in pursuing an internship with UCLA Health</li>
<li>Your top three goals for the summer internship, including specific areas of interest</li>
</ul>
2. Current Resume
Your resume should include:<ul>
<li>Undergraduate GPA</li>
<li>Graduate school GPA (if available; if not, it may be submitted later)</li></ul> 
</div><div>Qualifications 

If you are enrolled in a Master&rsquo;s degree program in health care administration, business administration, nursing, public health, health informatics, or a related field with a projected graduation in or after September 2026, you are eligible to apply to become a UCLA Health Administrative Intern.</div></div>

Graduate Administrative Intern - Performance Excellence

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