analytics intern

<div><h1 class="jobSectionHeader"><b>Who We Are</b></h1>
Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For&reg; list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.<p></p><h1 class="jobSectionHeader"><b>
What We Do</b></h1><p></p><div><div><p><b><br>
Role Overview</b></p></div><div><p>
We are seeking a People Analytics Intern to support analytics initiatives across the HR function. This role is designed for a student with strong quantitative foundations who is interested in applying statistical, data science, and emerging AI concepts to real organizational challenges and contributing meaningful insights.</p></div><div><p>
The intern will work closely with the People Analytics team on projects that may influence workforce planning, talent strategy, recruiting effectiveness, retention insights, and organizational decision-making. This is a hands-on role with defined deliverables and exposure to foundational reporting, emerging predictive analytics work, and practical applications of AI in workforce analytics.</p></div><p></p><div><p><b><br>
Key Responsibilities</b></p></div><div><ul><li><p>
Clean, structure, and analyze people and workforce data from HR systems</p></li></ul></div><div><ul><li><p>
Assist in exploring AI-enabled approaches to automate analysis, enhance reporting, or generate insights responsibly</p></li></ul></div><div><ul><li><p>
Build clear, effective data visualizations in PowerBI, Excel, Workday, or other tools</p></li></ul></div><div><ul><li><p>
Write scripts in Python, R, or SQL to prepare and analyze data sets</p></li></ul></div><div><ul><li><p>
Perform exploratory data analysis to identify trends, patterns, and insights</p></li></ul></div><div><ul><li><p>
Support statistical analyses (e.g., regression, correlation, hypothesis testing)</p></li></ul></div><div><ul><li><p>
Translate findings into clear summaries for HR and business leaders</p></li></ul></div><div><ul><li><p>
Contribute to documentation of methodologies, data definitions, and analytical outputs</p></li></ul></div><div><ul><li><p>
Present project outcomes and recommendations at the end of the internship</p></li></ul></div><p></p><div><p><b><br>
Example Project Areas</b></p></div><div><ul><li><p>
Automated workforce dashboard development</p></li></ul></div><div><ul><li><p>
AI-assisted reporting or analytics workflow enhancements</p></li></ul></div><div><ul><li><p>
Attrition trend and early-stage risk modeling concepts</p></li></ul></div></div><div><div><ul><li><p>
Recruiting funnel effectiveness evaluation</p></li></ul></div><div><ul><li><p>
Internal mobility and promotion analysis</p></li></ul></div><div><ul><li><p>
Diversity representation trend reporting</p></li></ul></div><div><ul><li><p>
Engagement survey driver analysis</p></li></ul></div><p></p><div><p><b><br>
Skills &amp;</b><b> </b><b>Qualifications</b></p></div><div><ul><li><p>
Pursuing a degree in Data Science, Statistics, Industrial/Organizational Psychology, HR Analytics, Computer Science, or a related field</p></li></ul></div><div><ul><li><p>
Working knowledge of at least one programming language such as Python, R, or SQL</p></li></ul></div><div><ul><li><p>
Strong Excel skills and ability to work with structured datasets</p></li></ul></div><div><ul><li><p>
Foundational understanding of statistical modeling concepts and interest in AI as applied to analytics</p></li></ul></div><div><ul><li><p>
Strong analytical thinking and problem-solving ability</p></li></ul></div><div><ul><li><p>
Ability to communicate findings clearly and concisely</p></li></ul></div><div><ul><li><p>
Experience with data visualization tools, especially Power BI</p></li></ul></div></div><br>
<p></p>
Pay Range: $20 - $28 / hr.<br>
<p></p>
This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.<p></p><div><div><div><div><div><div><div><p><b><br>
** Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County. **</b></p></div></div></div></div></div></div></div><p>
First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act).</p><p>
First American intends to conduct a review of an applicant&rsquo;s criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements.</p><p></p><h1 class="jobSectionHeader"><b>
What We Offer</b></h1>
By choice, we don&rsquo;t simply accept individuality &ndash; we embrace it, we support it, and we thrive on it! Our People First Culture celebrates diversity, equity and inclusion not simply because it&rsquo;s the right thing to do, but also because it&rsquo;s the key to our success. We are proud to foster an authentic and inclusive workplace For All. You are free and encouraged to bring your entire, unique self to work. First American is an equal opportunity employer in every sense of the term.<p></p>
Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.</div>

People Analytics Intern

JM HUBER CORPORATION

<div><p><b>Portfolio Business</b><b><i>:</i></b> Corporate</p><p>
J.M. Huber Corporation is one of the largest privately held, family-owned companies in the United States. Established in 1883, we are a diversified, global supplier of specialty and commodity chemicals, hydrocolloid solutions, engineered wood products and natural resources to customers spanning a wide variety of industries. With approximately $3 billion in sales and 4,000 employees worldwide, we have a material presence in more than 20 countries.</p><div><div><div><h2 class="jobSectionHeader"><b>
Position Summary</b></h2></div><div><p>
The Corporate Safety and Sustainability team is seeking a personable and highly motivated intern to support with strategic projects related to Data Management and Analytics. As part of the summer internship program, you will have the chance to work with experienced Sustainability and Operations professionals. If you&rsquo;re looking for a summer filled with real-world work experience and hands-on learning, this is the internship for you!</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Principal Duties &amp; Responsibilities</b></h2></div><div><ul><li>
Develop strong understanding of tools and technologies in use by the Safety and Sustainability teams.</li><li>
Work across Oracle ERP, 3rd Party SaaS tools, Microsoft tools (PowerBI, Excel) in the advancement of reporting, KPIs, and Dashboards</li><li>
Develop Work Aids, Policy documents, or Training as needed for System use, data management and roll-out related to required governance of data management against global frameworks.</li><li>
Research Public Information and Sources for best practices in data management and system use within the work of Sustainability</li><li>
Prepare concise summaries and recommendations to support development of long‑term data management excellence.</li><li>
Gain knowledge and experience in a variety of areas within the Safety and Sustainability function, including operational context for diverse manufacturing environments.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Education, Specialized/Technical Knowledge or Required Skills</b></h2></div><div><div><p><b>
Education:</b><b>
</b></p><ul><li>Current undergraduate student or graduate student studying Environmental Science, Sustainability, Data Analytics or related fields</li></ul></div><p></p><div><p><b><br>
Required skills/competencies:</b></p></div><div><ul><li><p>
Proficiency with Microsoft 365 and Zoom</p></li></ul></div><div><ul><li><p>
Excellent oral and written communication skills</p></li></ul></div><div><ul><li><p>
Ability to work in detail-oriented, dynamic and changing environment</p></li></ul></div><div><ul><li><p>
Strong Data Analytics and IT Systems skills</p></li></ul></div></div></div></div><p>
Our employees are our strongest asset, and their safety, health, and well-being is our highest priority. We respect the individual by providing opportunities for professional and personal development. Our Principles drive us to create an inclusive workplace where employees share core values, show dignity and respect toward others, and work hard to achieve their best performance.</p><p>
J.M. Huber Corporation is an EEO employer. Pre-employment drug screening is required</p></div><p></p>

Sustainability Analytics Intern

Tutor Perini Corporation

<div><p>Estimated compensation is $15 - $20 hourly
</p><p></p><p>This position is required to be on-site, Monday through Friday.
</p><p></p><p>NO STAFFING AGENCY CANDIDATES WILL BE CONSIDERED FOR THIS POSITION
</p><p></p><p>Applicants must be eligible to work in the United States without visa sponsorship now or in the future
</p><p></p><p>Tutor Perini Corporation is seeking a <b>Data and Analytics Intern </b>to join our office in <b>Sylmar, CA.
</b></p><p></p><p><b>About Tutor Perini Corporation:
</b></p><p></p><p><b><i>Extraordinary Projects, Exceptional Performance
</i></b></p><p></p><p>Tutor Perini Corporation is a leading civil, building, and specialty construction company that believes integrity, teamwork, and a collaborative approach are fundamental to our business success.
</p><p></p><p>Extraordinary projects demand a strategic and intelligent approach, finely honed through more than a century of real-world experience. They demand the relentless intensity of people who know the stakes are incredibly high. And they demand a team that understands mutual trust and integrity are necessary to execute massive undertakings on near-impossible deadlines.
</p><p></p><p>From coast to coast, notable projects include The Purple Line (D Line) Extensions in Los Angeles, SR 99 Viaduct replacement tunnel in Seattle, East Side Access projects and the Hudson Yards Platform in New York, Central Subway Third Street Light Rail in San Francisco, and multiple airport expansions and bridge projects.
</p><p></p><p><b><i>Extraordinary Projects Need Exceptional Talent
</i></b></p><p></p><p><b>Description:
</b></p><p>The <b>Data &amp; Analytics Intern </b>will support key initiatives within Tutor Perini&rsquo;s DART (Data, AI, and Reporting Technologies) program. The intern will be engaged across data engineering, AI, documentation, and Power BI report development efforts. This role offers a hands-on opportunity to work with modern data tools and platforms in a collaborative, real-world environment focused on construction and infrastructure. <b>Interns will work approximately 30 hours per week.
</b></p><p></p><p>Interns may be assigned to one or more of the following tracks based on their interests and TPC&rsquo;s project needs:
</p><p></p><p><b>Track 1: Data Engineering &amp; AI
</b></p><ul><li><p>Support the development, testing, and optimization of ETL/ELT data pipelines.
</p></li><li><p>Assist in integrating datasets into Fabric environments like OneLake for downstream use in Power BI and analytics.
</p></li><li><p>Design and develop custom data Agents using tools like Microsoft AI Studio.
</p></li></ul><p></p><p><b>Track 2: Data Documentation &amp; Metadata
</b></p><ul><li><p>Catalog priority datasets across business units using TPC&rsquo;s metadata tools.
</p></li><li><p>Populate and standardize metadata fields, lineage, glossary entries, and ownership details.
</p></li><li><p>Support data governance goals by contributing to an enterprise-wide metadata library.
</p></li></ul><p></p><p><b>Track 3: Report Design &amp; Visualization
</b></p><ul><li><p>Create, refine, and document impactful Power BI dashboards aligned with business KPIs.
</p></li><li><p>Work with business users to gather requirements, test visualizations, and iterate on design.
</p></li><li><p>Promote self-service analytics through clean, intuitive, and well-documented reporting solutions.
</p></li></ul><p></p><p><b>Requirements:
</b></p><ul><li><p>Currently pursuing a Bachelor&rsquo;s degree in <b>Data Analytics, Computer Science, Mathematics, or a related field </b>.
</p></li><li><p>Basic proficiency one of the following: <b>Python, Spark </b>, or similar scripting language.
</p></li><li><p>Some familiarity with tools like <b>Power BI </b>, <b>Excel </b>, and/or <b>data visualization </b>principles.
</p></li><li><p>Strong analytical mindset and attention to detail; ability to manage tasks with minimal supervision.
</p></li><li><p>Interest in or exposure to <b>cloud platforms </b>like <b>Microsoft Fabric </b>, including tools such as <b>Data Factory, Synapse, or Fabric </b>.
</p></li><li><p>Strong written and verbal communication skills.
</p></li><li><p>A collaborative and curious mindset &mdash; eager to learn and contribute across projects.
</p></li></ul><p></p><p><b>Preferred Skills:
</b></p><ul><li><p>Experience or coursework related to <b>data lakehouse architecture </b>.
</p></li><li><p>Exposure to metadata tools such as <b>Microsoft Purview </b>, <b>Alation </b>, or <b>Collibra </b>.
</p></li><li><p>SQL and Power BI proficiency including DAX, M-Query, data modeling, and report UX best practices.
</p></li><li><p>Interest in construction technologies, infrastructure systems, or large-scale project management.
</p></li></ul><p></p><p><b><i>Tutor Perini builds extraordinary projects, and we need exceptional talent. Join us, and together we will build the future.
</i></b></p><p></p><div><div><div><div><div><div><div><p><b>Equal Opportunity Employer</b></p></div></div></div></div></div></div></div></div>

Data and Analytics Intern

TYLin

<div><p><b>TYLin</b> is a globally recognized, full-service infrastructure consulting firm committed to providing innovative, cost-effective, constructible designs for the global infrastructure market. With over 3,000 employees throughout the Americas, Asia, and Europe, the firm provides support on projects of varying size and complexity. Together, we enhance conventional designs with smarter, more resilient systems. We provide people with better mobility. We steward precious resources by finding more sustainable solutions.</p><p></p><h1 class="jobSectionHeader"><b>
Job Summary</b></h1><p></p>
The Alternative Delivery Methods (ADM) group is seeking an intern to support the evaluation and financial health monitoring of major infrastructure projects from business development through project commissioning.
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This role focuses on helping the team assess project risk, financial performance, and delivery strategy, particularly on large lump-sum and alternative delivery projects. The intern will work closely with project managers and leadership to refine financial tools, improve reporting accuracy, and enhance the analytical frameworks used to monitor project performance.
<br>
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This internship is ideal for a graduate student interested in project finance, infrastructure delivery, and risk analysis, and may be structured to support a capstone or applied research project in collaboration with the company.<p></p><h1 class="jobSectionHeader"><b>
Responsibilities &amp; Qualifications</b></h1><p></p><div><div><p><b>
Responsibilities</b></p></div><div><ul><li><p>
Support analysis of project financial and risk health across the project lifecycle, from <b>business development through commissioning</b>.</p></li></ul></div><div><ul><li><p>
Develop and maintain <b>Excel-based financial and risk analysis tools</b> used to track project performance.</p></li></ul></div><div><ul><li><p>
Work directly with <b>project managers and delivery teams</b> to gather insights on project risk exposure and performance.</p></li></ul></div><div><ul><li><p>
Assist with improving <b>financial reporting accuracy</b> and ensuring project data is captured consistently and reliably.</p></li></ul></div><div><ul><li><p>
Perform <b>statistical and financial analysis</b> to help evaluate project outcomes and delivery strategies.</p></li></ul></div><div><ul><li><p>
Refine and enhance internal <b>tools, templates, and playbooks</b> used for project monitoring and risk evaluation.</p></li></ul></div><div><ul><li><p>
Support <b>simulation, risk modeling, and scenario analysis</b> related to project delivery performance.</p></li></ul></div><div><ul><li><p>
Contribute to <b>tool development and automation</b>, including potential programming or Excel/VBA enhancements.</p></li></ul></div><div><ul><li><p>
Participate in internal <b>Alternative Delivery Methods (ADM) training</b> and gain exposure to delivery strategies such as Design-Build and other alternative contracting approaches.</p></li></ul></div><p></p><div><p><b><br>
Qualifications</b></p></div><div><p><b>
Education</b></p></div></div><div><div><ul><li><p>
Currently pursuing a <b>Master&rsquo;s</b><b> </b><b>degree or MBA</b> in one of the following areas:</p></li></ul></div><div><ul><li><p>
Business Administration (MBA)</p></li></ul></div><div><ul><li><p>
Engineering Management</p></li></ul></div><div><ul><li><p>
Finance</p></li></ul></div><div><ul><li><p>
Statistics</p></li></ul></div><div><ul><li><p>
Risk Management</p></li></ul></div><div><ul><li><p>
Operations, Analytics, or a related discipline</p></li></ul></div><div><p>
Candidates with a background in <b>engineering transitioning into business or management studies</b> are strongly preferred.</p></div><p></p><div><p><b><br>
Preferred Experience</b></p></div><div><ul><li><p>
Exposure to <b>alternative delivery methods, infrastructure projects, or construction management</b></p></li></ul></div><div><ul><li><p>
Experience working with <b>engineering, construction, or project delivery teams</b></p></li></ul></div><div><ul><li><p>
Academic or professional work related to <b>project financial analysis, risk evaluation, or infrastructure delivery</b></p></li></ul></div><p></p><div><p><b><br>
Technical Skills</b></p></div><div><ul><li><p>
Advanced <b>Microsoft Excel</b> proficiency</p></li></ul></div><div><ul><li><p>
Experience with <b>financial modeling and data analysis</b></p></li></ul></div><div><ul><li><p>
Knowledge of <b>statistical analysis or simulation methods</b></p></li></ul></div><div><ul><li><p>
Experience with <b>VBA or Excel automation</b> is highly desirable</p></li></ul></div><div><ul><li><p>
Interest in developing analytical tools or improving internal workflows</p></li></ul></div></div><p></p><div><div><p><b><br>
Internship Experience</b></p></div><div><ul><li><p>
Exposure to <b>real project financial and risk data</b> across active infrastructure programs</p></li></ul></div><div><ul><li><p>
Participation in <b>ADM training and project strategy discussions</b></p></li></ul></div><div><ul><li><p>
Opportunity to structure internship work as a <b>capstone or applied graduate project</b> in coordination with university programs</p></li></ul></div><div><ul><li><p>
Work alongside project managers and leadership involved in <b>alternative delivery infrastructure projects</b></p></li></ul></div></div><p></p><h1 class="jobSectionHeader"><b><br>
Additional Information</b></h1><p></p><p>
#LI-Remote</p><p>
#LI-DNP</p><p></p><p>
At TYLin, we strive to create a supportive and enriching learning environment that empowers you to make an impact. If you are excited about this role, we encourage you to apply even if you don&rsquo;t meet every qualification listed.</p><p></p><p>
TYLin is committed to pay equity. This position offers an hourly compensation range of $20 to $35 per hour. Compensation will be based on individual skills, experience, education, and qualifications.</p><p></p><p><b>
TYLin </b>offers a comprehensive total rewards package. Our benefits may include extensive medical, disability and life insurance coverage, continuing education benefits, paid time off, employee assistance program and a retirement savings plan with company matching contributions.</p><p></p><p>
We encourage all candidates to explore our total rewards offering.</p><p></p><p>
Collaboration, mission-driven focus, discipline, and leadership skills developed through military service benefit us all. Whether you are a Veteran, Guardsman or Reservist, a Military Spouse or you are planning to transition to civilian life in the near future, we welcome and value your application.</p><p></p><p><b>
TYLin </b>is an equal opportunity employer, and we prohibit discrimination and harassment of any type as protected by federal, provincial, state or local laws. We celebrate diversity and are committed to creating an inclusive environment for all employees. The company and its employees are required to comply with all local health authority, legal or lawful client requirements.</p></div>

Alternative Delivery Project Analytics Intern

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
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   The Analytics Engineering Teams
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  </strong>
 </strong>
 Analytics Engineering interns will be fully embedded within teams that build tools and services essential for scaling the Netflix application platform to a massive device ecosystem. These teams leverage innovation and scale to drive value on screen and support efficient operational execution. Interns will work on deriving actionable insights from data to ensure high-quality standards, measure product feature reliability, assess device ecosystem health, and enhance engineering operational efficiency. This role involves heavy reliance on cross-functional partnerships, collaborating with software engineers and product managers to enable data collection, improve metric fidelity, and develop technical data products and intelligence systems.
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 <strong>
  <strong>
   Who Are You?
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 You are a curious, collaborative, resourceful, and motivated student who is eager to learn from a team of senior engineers. You possess a passion for problem-solving and are comfortable tackling complex, open-ended challenges using data-driven solutions.
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  <strong>
   Must-Haves
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  </strong>
 </strong>
 <ul>
  <li>
   Currently enrolled in a full-time accredited academic program (M.S., or Ph.D.) in Computer Science, Engineering, Data Science, or a related technical field graduating in December 2026, Summer 2027 or later.
  </li>
  <ul>
   <li>
    To be intern-eligible, you must be returning to school for one semester or quarter post-Summer internship.
   </li>
  </ul>
  <li>
   Hands-on keyboard experience with data analysis.
  </li>
  <li>
   High proficiency in the standard data science tech stack.
  </li>
  <li>
   Experience leveraging distributed systems for large-scale data processing.
  </li>
  <li>
   Proficiency in SQL.
  </li>
  <li>
   Experienced in Python or Java.
  </li>
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   Hands-on experience building intuitive schemas and data models for datasets
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  <li>
   Excellent communication and collaboration skills.
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  </li>
 </ul>
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  Nice-to-Haves
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  <li>
   Experience leveraging statistical inference and machine learning models to present actionable insights.
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  <li>
   Working knowledge of data visualization tools (e.g., Tableau, Plotly, Matplotlib).
  </li>
  <li>
   Ability to convey complex data insights to stakeholders of varying technical backgrounds.
  </li>
  <li>
   A positive attitude that welcomes opportunities to give and receive candid feedback.
  </li>
  <li>
   A tendency to perceive ambiguity as an opportunity to explore possibilities.
  </li>
  <li>
   Excitement about security or complex problem domains
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What You'll Do
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  </strong>
 </strong>
 <strong>
  Responsibilities
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  <br/>
 </strong>
 As an Analytics Engineering Intern, you will have the opportunity to take ownership of an end-to-end analytics project or tool. Your responsibilities will typically include:
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 <ul>
  <li>
   Designing, building, and maintaining data pipelines to collect, process, and analyze large and complex data sets from various sources.
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   Defining foundational data models and working toward the productization of the final analytical tool.
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   Analyzing request patterns, identifying new signals, performing anomaly detection, and recommending adjustments based on quantified impact.
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   Creating insightful data visualizations and dashboards using tools like Tableau to help stakeholders easily understand and act upon data.
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   Collaborating with engineers during the development process to gather feedback and iterate on design improvements.
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   Communicating key insights and developing dashboards to cascade them to a wide range of stakeholders across the organization.
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   <br/>
  </li>
 </ul>
 <strong>
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   The Summer Internship
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  </strong>
 </strong>
 At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture. The overall market range for Netflix Internships is typically $40/hour - $110/hour. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here. Internships are typically 12 weeks long. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.
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 Our culture is unique, and we live by our values. For more information on what it's like to work at Netflix, please take a look at our culture memo.
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 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
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 Netflix is a unique culture and environment. Learn more here.
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 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
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 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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 Job is open for no less than 7 days and will be removed when the position is filled.
</div>


Analytics Engineering Intern, Summer 2026

Leidos

<div><p><b>Description</b>
</p><p>The Health Sector at Leidos currently has an opening for a Data Analytics Summer Intern &ndash; Entry Level to work in our Bethesda, Maryland office. This is an exciting opportunity to use your experience supporting the NIH / CSR mission by developing innovative data-driven and AI-powered solutions.</p><p>
In this mission, you will contribute to building scalable cloud-based platforms, intelligent automation tools, and machine learning models that enhance scientific review processes, improve operational efficiency, and enable advanced data analysis across large and complex datasets.</p><p></p><p><b>
Primary Responsibilities:</b></p><ul><li>
Support building end-to-end pipelines for document processing, classification, and data extraction</li><li>
Participate in designing and implementation of machine learning models for classification, prediction, and sentiment analysis</li><li>
Develop AI-powered tools to automate workflows, including document summarization and task extraction</li><li>
Work with structured and unstructured data, including text, images, and transcripts</li><li>
Collaborate with cross-functional teams including data scientists, analysts, and stakeholders</li><li>
Generate technical documentation, pseudocode, and test cases to support development efforts</li><li>
Perform data analysis and create visualizations to support decision-making</li><li>
Ensure data security, including handling of sensitive information such as PII</li><li>
Participate in testing, debugging, and deployment of applications</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
Ongoing studies within a bachelor&rsquo;s program in Computer Science or similar field with a minimum 3.0 GPA.</li><li>
Experience with Python, Supervised Learning, Convolutional Neural Networks (PyTorch) is preferred</li><li>
Experience with JavaScript and JS frameworks such as React.</li><li>
Solid understanding of software development process fundamentals.</li><li>
Strong, self-motivated desire to learn new programming languages, tools, frameworks, and techniques.</li><li>
Ability to complete tasking independently with minimal direct supervision.</li><li>
Ability to work and collaborate effectively within a multi-disciplined engineering team.</li></ul><ul><li>
Team players who can express and explain their ideas to others.</li><li>
Previous internship</li><li><b>
Ability to obtain a Public Trust security clearance.</b></li><li><b>
U.S. Citizenship is required.</b></li></ul><p>
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo &mdash; because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 &mdash; and moving faster than anyone else dares.</p><h2 class="jobSectionHeader"><b>
Original Posting:</b></h2>
April 28, 2026<p></p><p><br>
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.</p><p></p><h2 class="jobSectionHeader"><b><br>
Pay Range:</b></h2>
Pay Range $48,100.00 - $86,950.00<p></p><p>
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.</p><p></p><p><b>
About Leidos</b></p><p></p><p>
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.</p><p></p><p><b>
Pay and Benefits</b></p><p></p><p>
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.</p><p></p><p><b>
Securing Your Data</b></p><p></p><p>
Beware of fake employment opportunities using Leidos&rsquo; name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system &ndash; never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.</p><p>
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.</p><p></p><p><b>
Commitment to Non-Discrimination</b></p><p></p><p>
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.</p></div>

Data Analytics Summer Intern

Alnylam

<div><p><b>Overview
</b></p><p>The Human Resources Intern (AI &amp; People Analytics Focus) will support the evolution of a data-driven, technology-enabled People &amp; Culture function. This role is designed for individuals with a strong interest in the intersection of human resources, artificial intelligence, and analytics, and will contribute to initiatives that enhance how talent is attracted, assessed, developed, and retained.
</p><p>This position offers hands-on exposure to how AI is transforming HR, including talent acquisition, workforce planning, employee experience, and operational efficiency. The intern will partner closely with HR, Talent Acquisition, HR Operations, and Digital/IT teams to explore, test, and scale AI-driven solutions that improve decision-making and outcomes.<br>
</p><p></p><p><b>Key Responsibilities
</b></p><p>AI &amp; HR Innovation
</p><ul><li>Support the evaluation, testing, and implementation of AI tools across HR (e.g., sourcing, screening, scheduling, employee insights)
</li><li>Assist in identifying opportunities to automate manual processes and enhance efficiency using AI
</li><li>Conduct research on emerging AI trends and best practices in HR and People Analytics
</li><li>Contribute to pilot programs for AI-enabled solutions and summarize findings and recommendations
</li></ul><p>People Analytics &amp; Insights
</p><ul><li>Analyze HR and recruiting data to identify trends, patterns, and opportunities for improvement
</li><li>Support development of dashboards and reporting to inform talent and workforce decisions
</li><li>Assist in building frameworks to measure quality of hire, candidate experience, and recruiting effectiveness
</li></ul><p>Talent Acquisition Enablement
</p><ul><li>Partner with Talent Acquisition to optimize sourcing strategies using AI-driven platforms
</li><li>Support talent mapping and pipeline development efforts for critical roles
</li><li>Assist in refining recruiter workflows and candidate engagement strategies through technology
</li></ul><p>Process &amp; Operational Excellence
</p><ul><li>Document current HR processes and recommend improvements leveraging AI and automation
</li><li>Support the development of standardized workflows, templates, and tools
</li>Collaborate cross-functionally to ensure alignment across HR systems and processes<br>
<li>
</li></ul><p></p><p><b>Qualifications
</b></p><ul><li>Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Human Resources, Business, Psychology, Data Analytics, Computer Science, or a related field
</li><li>Strong interest in artificial intelligence, technology, and the future of work
</li><li>Analytical mindset with ability to interpret data and translate insights into recommendations
</li><li>Proficiency in Excel and/or data visualization tools (e.g., Tableau, Power BI) preferred
</li><li>Familiarity with AI tools (e.g., generative AI, automation platforms) or willingness to learn quickly
</li><li>Strong communication skills with the ability to synthesize information clearly and concisely
</li><li>Demonstrated curiosity, initiative, and ability to operate in a fast-paced, evolving environment
</li></ul><p><b>U.S. Pay Range
</b></p><p>$23-35/hr</p></div>

Intern, HR (AI & People Analytics Focus)

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