machine learning intern

The Institute for Advanced Learning and Research

<div><div><div><b>ABOUT THE INTERNSHIP</b><br>
Interested in Artificial Intelligence (AI), Machine Learning (ML), and emerging technologies that are shaping the future of manufacturing? Join the Institute for Advanced Learning and Research (IALR) for a summer internship within the Manufacturing Advancement division. This internship places you at the cutting edge of innovation, supporting efforts to integrate AI, ML, and Augmented/Virtual Reality (AR/VR) into programs that strengthen manufacturing capabilities across Southern Virginia. Candidates from STEM, business, manufacturing, and computer science backgrounds are encouraged to apply. <i>This position requires eligibility to access controlled unclassified information (CUI) and export controlled data, and candidates must meet applicable federal requirements, including U.S. person status where required.</i></div></div><div><div><b>
WHAT YOU&rsquo;LL DO</b></div><ul><li>Support the development and integration of AI, ML, and AR/VR technologies into Manufacturing Advancement programs</li><li>Collaborate with mentor and team to establish actionable internship goals</li><li>Assist with projects that advance innovation and technology adoption in regional manufacturing</li><li>Contribute creative ideas and problem-solving approaches to technical challenges</li><li>Handle confidential information with professionalism and discretion</li></ul></div><div><div><b>
WHAT YOU&rsquo;LL LEARN</b></div><ul><li>Practical experience applying AI, ML, and AR/VR technologies in real-world manufacturing contexts</li><li>Insight into innovation, workforce development, and technology acceleration across Southern Virginia</li><li>Professional skills in project planning, collaboration, and strategic analysis</li><li>Hands-on exposure to emerging technologies that are reshaping modern manufacturing</li></ul></div><div><div><b>
PROGRAM DETAILS</b></div><ul><li><b>Duration:</b> 8 weeks</li><li><b>Schedule:</b> Approximately 28 hours per week, up to a maximum of 224 hours</li><li><b>Compensation:</b> $15 per hour / $3,360 total stipend</li><li><b>Location:</b> In-person at IALR (Danville, VA)</li></ul><br>
</div><div><div><b>OTHER DETAILS</b></div><div>
IALR reserves the right to modify and/or cancel the internship program. Modifications may include a shortened timeframe with a pro‑rated adjustment to compensation, alternate assignments, or adjustments to work-site location. Internships are primarily in-person. The IALR Internship Program does not provide local housing or a housing allowance.</div></div><div><div><b>
ELIGIBILITY REQUIREMENTS</b><br>
<ul><li>To be considered for the 2026 IALR Internship Program, applicants must meet ONE of the following criteria:</li><li>Be a high school graduate (may be graduating Spring 2026) with plans to attend college in Fall 2026</li><li>Be a current undergraduate or graduate student</li><li>Be a recent college graduate (within the past 12 months)</li></ul></div></div><div><div><b>
INTERNSHIP TIMELINE</b><br>
<ul><li>Application Deadline: March 20, 2026 at 4:00 PM (EST)</li><li>Candidate Interviews (Microsoft Teams): April 16&ndash;17, 2026</li><li>Intern Selection Notifications: April 30, 2026</li></ul>
Please note: IALR internships are highly competitive, and not all applicants will be invited to interview.</div></div><div><div><b>
MANDATORY PROGRAM DATES</b><br>
<ul><li>Intern Orientation (required for all interns): June 1, 2026 OR June 8, 2026</li><li>Mandatory Internship Luncheon and Final Presentations: July 24, 2026</li></ul></div></div><div><div><b>
TIME COMMITMENT REQUIREMENTS</b><br>
<ul><li>Interns must complete a total of 224 hours by August 10, 2026</li><li>The internship is designed as an 8-week program served in consecutive weeks</li><li>Interns are permitted ONE unpaid week off during the program</li><li>Except for this one week, interns are expected to work continuously</li></ul></div></div><div><div><b>
LETTER OF RECOMMENDATION</b><br>
All applicants must submit ONE letter of recommendation as part of the application process. The letter will be reviewed in addition to application responses. The letter must be received by March 20, 2026.</div></div><div><div><b>
SUBMISSION OPTIONS</b><br>
Letters of recommendation can be provided by email or address. The details are below:
</div></div><div><div>Email:<br>
hr@ialr.org</div></div><div><div>
Mail:<br>
ATTN: HR &ndash; Internship<br>
Institute for Advanced Learning and Research<br>
150 Slayton Avenue<br>
Danville, VA 24540<br>
<br>
<b>LETTER REQUIREMENTS</b><br>
The letter must include:<br>
<ul><li>The reference&rsquo;s relationship to the applicant</li><li>Length of time the reference has known the applicant</li><li>Comments on the applicant&rsquo;s knowledge, skills, and abilities relevant to the internship</li><li>Any concerns that may prevent successful completion of the internship</li></ul></div></div></div>

Artificial Intelligence / Machine Learning Intern

Augurs Technologies Pvt. Ltd

<p><b>Job Title:</b> AI/ML Intern<br/><b>Department:</b> Technology / Research &amp; Development<br/><b>Location:</b> Vibhuti Khand, Gomti Nagar, Lucknow<br/><b>Duration:</b> 6 Months</p><p><b>About the Role:</b></p><p>We are seeking a passionate and innovative <b>AI/ML Intern</b> to join our technology team for a 6-month internship. This role is ideal for someone eager to explore real-world applications of Artificial Intelligence, Machine Learning, and Data Science. The intern will work closely with senior engineers to develop models, analyze datasets, and contribute to ongoing AI-driven solutions.</p><p><b>Key Responsibilities:</b></p><ul><li>Assist in designing, developing, and implementing machine learning models.</li><li>Work on data preprocessing, data cleaning, feature engineering, and exploratory data analysis.</li><li>Support the team in training, evaluating, and optimizing ML algorithms.</li><li>Collaborate in building AI-driven solutions such as predictive models, automation systems, or recommendation engines.</li><li>Conduct research on emerging AI/ML tools, frameworks, and techniques.</li><li>Participate in code reviews, documentation, and project discussions.</li><li>Assist in deploying ML models into production environments (if applicable).</li></ul><p><b>Skills &amp; Qualifications:</b></p><ul><li>Pursuing or recently completed a Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, Mathematics, AI/ML, or a related field.</li><li>Strong understanding of machine learning concepts, algorithms, and statistics.</li><li>Hands-on experience with Python and ML libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, or PyTorch.</li><li>Basic knowledge of data visualization tools (Matplotlib, Seaborn, etc.).</li><li>Familiarity with SQL or any database system is a plus.</li><li>Excellent problem-solving and analytical skills.</li><li>Ability to work independently and collaboratively with the team.</li></ul><p><b>Perks &amp; Benefits:</b></p><ul><li>Internship Certificate after successful completion of 6 months.</li><li>Hands-on experience working on real-time AI and ML projects.</li><li>Mentorship from experienced Data Scientists and ML Engineers.</li><li>Opportunity to contribute to live projects and research initiatives.</li><li>Potential for full-time placement based on performance.</li></ul><p>Job Type: Internship</p><p>Contract length: 6 months</p><p>Work Location: In person</p><p>Job Types: Fresher, Internship<br/>Contract length: 6 months</p><p>Work Location: In person</p>

AI Intern

AICONNECTZ

<p>We are looking for a motivated AI / Machine Learning Intern to join our team and work on real-world data and intelligent systems. This internship offers hands-on experience in building, training, and deploying machine learning models while collaborating with experienced engineers and data scientists. Key Responsibilities Assist in designing, developing, and testing machine learning models Work with structured and unstructured data for analysis and model training Implement algorithms related to classification, regression, clustering, or NLP Perform data preprocessing, feature engineering, and model evaluation Experiment with model optimization and performance improvement Document experiments, results, and code clearly Collaborate with cross-functional teams on AI-driven solutions Required Skills Basic understanding of Machine Learning and Artificial Intelligence concepts Proficiency in Python Familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar Knowledge of data handling tools like NumPy, Pandas, Matplotlib/Seaborn Understanding of statistics and linear algebra fundamentals Strong problem-solving and analytical skills</p><p>Job Type: Full-time</p><p>Pay: ₹307,126.85 - ₹1,262,442.05 per year</p><p>Benefits:</p><ul><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: In person</p>

IT Analyst

Pitney Bowes

<div><p><b>At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.</b></p><p><br>
We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: <b>Client. Team. Win. Innovate.</b></p><p></p><div>
We actively look for prospects who:<br>
<ul><li>Are passionate about client success.</li><li>Enjoy collaborating with others.</li><li>Strive to exceed expectations.</li><li>Move boldly in the quest for superior and best in market solutions.</li></ul></div><p></p><p><b>
Job Description:</b></p><p></p><p>
A Pitney Bowes Internship prepares students for the rigors of the working world while providing a professional and engaging learning experience. Our internships offer meaningful work with the potential to directly impact our business (learn while doing). In addition to challenging work, interns grow their professional networks. From Day 1, they have the opportunity to network with fellow interns from schools across the country as well as PB employees at all levels of the organization.
</p><p></p><p>Our vision is to offer undergraduate and masters students an engaging and thought-provoking learning experience while impacting our business in a meaningful way by:</p><ul><li><p><b>
PROJECTS</b>: Interns are spread throughout our businesses. Each intern manager will provide intentional learning objective goals and assign real-life projects to own and drive during the summer</p></li><li><p><b>
SUPPORT</b>: Each intern will be paired up with a mentor who will provide guidance, support, and insight into The PB Way!</p></li><li><p><b>
PAY</b>: The wage range for this position is $22 to $2 per hour, with the actual pay dependent on your, education level, skills and experience as they relate to the job requirements.</p></li><li><p><b>
JOB OFFERS</b>: The intern program may only last 10-weeks, June 1st - August 7th, but we don&rsquo;t want the experience to end there. Our top interns are often offered extended internships or future job opportunities at Pitney Bowes</p></li></ul><p></p><p><b>
This internship is ONSITE in Shelton, CT. Candidates must be able to work in person for the full 10‑week program.
</b></p><p></p><p>Join the SendTech Engineering Organization as an AI/ML Intern and work with the AI Center of Excellence and engineering teams on real projects involving machine learning, generative AI, automation, and data engineering. This internship gives you hands‑on experience, mentorship, and the chance to contribute to impactful solutions.</p><p></p><p><b>
You Will:</b></p><ul><li><p>
Assist in developing and testing machine learning models for prediction, classification, and generative tasks.</p></li><li><p>
Support AI workflows through data preparation, feature exploration, and basic deployment steps.</p></li><li><p>
Build prototypes and proof‑of‑concept tools using Python and cloud technologies.</p></li><li><p>
Analyze datasets to uncover insights that support product or process improvements.</p></li><li><p>
Help document experiments and summarize model performance.</p></li><li><p>
Work with engineering mentors to troubleshoot and refine AI components.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
You Bring:</b></h2><ul><li><p>
Strong Python programming skills.</p></li><li><p>
Basic understanding of machine learning concepts (e.g., supervised learning, NLP, deep learning).</p></li><li><p>
Familiarity with ML libraries such as scikit‑learn, LangGraph, TensorFlow, or PyTorch.</p></li><li><p>
Interest in generative AI, LLMs, or retrieval systems is a plus.</p></li><li><p>
Ability to work with datasets and create simple analyses or visualizations.</p></li><li><p>
Curiosity, communication skills, and a willingness to learn.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Background</b></h2><ul><li><p>
Coursework in AI, ML, Data Science, Computer Science, or related fields.</p></li><li><p>
Exposure to cloud platforms like AWS or GCP.</p></li><li><p>
Experience from school projects, research, hackathons, or personal projects.</p></li></ul><p></p><p><b>
We will:</b></p><p></p><ul><li>Provide the opportunity to grow and develop your career</li><li>Offer an inclusive environment that encourages diverse perspectives and ideas</li><li>Deliver challenging and unique opportunities to contribute to the success of a transforming organization</li><li>Offer comprehensive benefits globally<b> </b>(PB Live Well)</li></ul><p></p><p>
Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.</p><p>
All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.</p><p>
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.</p></div>

Artificial Intelligence Intern

(Let's) Vume

<p>We are looking for enthusiastic interns interested in Artificial Intelligence and Machine Learning. You will get hands-on exposure to working with datasets, building models, and exploring real-world AI applications.</p><p><b>About Talrn</b></p><p>Talrn is the world's largest network of top software developer talent, with thousands of developers across countries helping operate and build for all major technologies. Talrn deals across software developers in every domain. Talrn is the largest fully distributed, highly skilled global developer workforce. Their vision is to be the greatest software developer talent company in the world, connecting top-tier talent with leading organizations for mission-critical projects.</p><p><b>Responsibilities:</b></p><ul><li>Experience with Selenium and Playwright is a must</li><li>Work on data collection, cleaning, and preprocessing.</li><li>Assist in building and testing ML models.</li><li>Explore AI/ML frameworks (Scikit-learn, TensorFlow, PyTorch, etc.).</li><li>Document results and share learnings with the team.</li></ul><p><b>Requirements:</b></p><ul><li>Basic knowledge of Python and ML libraries.</li><li>Understanding of machine learning concepts.</li><li>Problem-solving and analytical skills.</li><li>Eagerness to learn and explore AI/ML.</li></ul><p>Apply</p><p>Send your application on intern@talrn.com</p><p>Solve the following hexadecimal code 24951FF62 to decimal and reach us to get ahead in your interview process.</p><p>Immediate joiners preferred.</p><p>Job Types: Full-time, Internship</p><p>Work Location: Remote</p>

Remote ML Internship

General Motors (GM)

<div><p><b>Job Description
</b></p><div><p><b>To help </b><b>facilitate </b><b>administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
</b></p></div><div><p><b>Work Arrangement:
</b><br>
Hybrid: This internship is catego riz ed as hybrid . The selected intern is expected to report to the office up to three times per week or as determined by the team.<br>
</p></div><p></p><div><p><b>Locations:
</b></p></div><div><ul><li><p>San Francisco, California
</p></li></ul></div><div><ul><li><p>Sunnyvale, California
</p></li></ul></div><div><ul><li><p>Mountain View, California<br>
</p></li></ul></div><p></p><div><p><b>About the Team </b><b>:
</b></p></div><div><p>The trajectory generation team (TGX) is responsible for turning scene understanding into wholistic AV behavior. The team must balance multiple competing objectives . Trajectories need to be comfortable for passengers (minimizing jerk and acceleration), obey traffic laws, respect vehicle dynamics constraints (steering limits, acceleration capabilities), avoid obstacles, and respond in real-time to changing road conditions. The TGX team uses state-of-the-art ML, RL, and optimization techniques to improve the GM driving product and support the objectives above.<br>
</p></div><p></p><div><p><b>About The Role:
</b></p></div><div><p>As an intern on the trajectory generation team, you would work on well-scoped research or engineering projects that contribute to the team's ML-driven planning stack. This might involve implementing and bench mar king new neural network architectures for behavior prediction, improving data pipelines for training trajectory models, or conducting ablation studies on different learning approaches. The intern would collaborate closely with senior engineers and researchers, participating in code reviews, team meetings, and design discussions while gaining hands-on experience with production autonomous driving systems. They'd work with real-world driving data, simulation environments, and potentially see their contributions deployed to test vehicles.
</p></div><div><p>The role offers a unique opportunity to bridge cutting-edge ML research with safety-critical robotics applications. An intern would develop skills in deep learning frameworks ( PyTorch ), work with large-scale distributed training systems, and learn how to validate and verify learned models for autonomous driving. Beyond technical skills, they'd gain insight into the challenges of building reliable AI systems for the real world&mdash;handling edge cases, ensuring safety guarantees, and balancing model performance with computational constraints. The experience provides exposure to how ML teams operate within a complex, multi-disciplinary engineering organization building toward full autonomy.
</p></div><div><p><b>What </b><b>You&rsquo;ll </b><b>Do:
</b></p></div><div><ul><li><p>Implement and experiment with neural network architectures for trajectory prediction, behavior planning, or mission planning tasks
</p></li></ul></div><div><ul><li><p>Build data pipelines and visualization tools to process, analyze, and evaluate large-scale driving datasets
</p></li></ul></div><div><ul><li><p>Train and bench mar k ML models using distributed compute infrastructure, running ablation studies to optimize performance
</p></li></ul></div><div><ul><li><p>Validate models in simulation environments and analyze failure cases across diverse driving scenarios
</p></li></ul></div><div><ul><li><p>Participate in code reviews, team meetings, and technical discussions while documenting experiments and results
</p></li></ul></div><div><ul><li><p>Contribute to production codebases by prototyping new approaches for handling challenging driving situations like merges or complex intersections
</p></li></ul></div><div><p><b>Required Qualification:
</b></p></div><div><ul><li><p>Currently enrolled in a Masters program in Computer Science, Machine Learning, Robotics, or a related STEM field.
</p></li></ul></div><div><ul><li><p>Hands-on experience with one or more machine learning frameworks (e.g., PyTorch , TensorFlow, JAX, or Keras ).
</p></li></ul></div><div><ul><li><p>Availability to work full-time ( 40 hours per week) during the internship period.
</p></li></ul></div><div><ul><li><p>Demonstrated coursework, research., or projects in AI/ML.
</p></li></ul></div><div><ul><li><p>Strong programming skills in Python.
</p></li></ul></div><div><p><b>Preferred Qualifications:
</b></p></div><div><ul><li><p>Exposure to deep learning architectures such as Transformers, CNNs, or Diffusion Models.
</p></li></ul></div><div><ul><li><p>Exposure to deep reinforcement learning algorithms such as PPO, DQL, and distributional ada ptations.
</p></li></ul></div><div><ul><li><p>Experience with robotics through projects or research.
</p></li></ul></div><div><ul><li><p>Familiarity with multimodal learning or working with complex, temporal data.
</p></li></ul></div><div><ul><li><p>Interest in contributing to publications, open-source projects, or patents.
</p></li></ul></div><div><ul><li><p>Familiarity with systems programming languages (e.g., C++ or Java) is a plus.
</p></li></ul></div><div><ul><li><p>Intent to return to degree-program after the completion of the internship.
</p></li></ul></div><div><ul><li><p>Graduating between December 2026 and June 2027.
</p></li></ul></div><div><p><b>Compensation:
</b></p></div><div><ul><li><p>The monthly salary for this role is $10, 600 per month
</p></li></ul></div><div><ul><li><p>GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
</p></li></ul></div><div><p><b>What </b><b>you&rsquo;ll </b><b>get from us (Benefits):
</b></p></div><div><ul><li><p>Paid US GM Holidays
</p></li></ul></div><div><ul><li><p>GM Family First Vehicle Discount Program
</p></li></ul></div><div><ul><li><p>Result-based potential for growth within GM
</p></li></ul></div><div><ul><li><p>Intern events to network with company leaders and peers
</p></li></ul></div>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;
<p><b>About GM
</b></p><p>Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
</p><p></p><p><b>Why Join Us
</b></p><p>We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
</p><p></p><p><b>Benefits Overview
</b></p><p>From day one, we're looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <b>Total Rewards resources </b>.
</p><p></p><p><b>Non-Discrimination and Equal Employment Opportunities (U.S.)
</b></p><p>General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
</p><p></p><p>All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
</p><p></p><p>We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <b>How we Hire </b>.
</p><p></p><p><b>Accommodations
</b></p><p>General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <b>email </b>us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</p></div><p></p>

2026 Summer Intern, Machine Learning Engineer, Trajectory Generation (Masters)

QuantumBlack, AI by McKinsey

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients&rsquo; most pressing business challenges.
 <br/>
 <br/>
 Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
 <br/>
 <br/>
 You&rsquo;ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
 <br/>
 <br/>
 You&rsquo;ll also contribute to the team&rsquo;s internal knowledge base and tool development, learning how McKinsey and QuantumBlack approach data science at scale.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence
  </li>
  <li>
   Availability for a full-time internship of 12 weeks
  </li>
  <li>
   Strong interest in applying machine learning and statistical analysis to solve real-world problems
  </li>
  <li>
   Foundational experience in Python (preferred) or R for data analysis and model prototyping
  </li>
  <li>
   Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus
  </li>
  <li>
   Basic understanding of data wrangling, visualization, and exploratory analysis
  </li>
  <li>
   Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent
  </li>
  <li>
   Good analytical and problem-solving skills; ability to structure tasks and manage time effectively
  </li>
 </ul>
</div>


Data Scientist Intern - QuantumBlack, AI by McKinsey

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