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Open nowPosted yesterday

Intern AI Center of Excellence Data Science

smithnephew334 open roles

Where
US - Pittsburgh, PA
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Your applicationOpen nowIntern AI Center of Excellence Data Sciencesmithnephew · US - Pittsburgh, PA

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. smithnephew postings stay open a median of 14 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted yesterday

smithnephew median: 14 days open

The posting

**This position does not offer visa transfer or sponsorship now or in the future**

Life. Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living.

Join the Smith+Nephew AI Center of Excellence and help explore how artificial intelligence and data science can support early innovation in Robotics and Enabling Technology. In this internship, you will contribute to cutting edge proof of concept projects, create and test rapid prototypes, and collaborate with a multidisciplinary global team to help deliver meaningful enhancements to our products.

What will you be doing?

  • Research the latest generation of artificial intelligence models and explore their potential applications.
  • Obtain, prepare, and clean training data sets.
  • Develop feature encodings and implement machine learning methods.
  • Analyze and validate models using statistical techniques.
  • Create rapid proofs of concept and prototypes using data.
  • Develop interfaces for exploring and using artificial intelligence solutions.
  • Work independently while collaborating closely with colleagues across disciplines, locations, and backgrounds.

Planned Start Date: May 2027

Program Length: 12 weeks

Location: Pittsburgh,PA

What will you need to be successful

Education:

  • Currently enrolled in a bachelor’s, master’s, or doctoral program in Data Science, Mathematics, Artificial Intelligence, Computer Science, Computer Engineering, or another relevant engineering discipline.

Experience:

  • No previous professional experience is required. Academic experience using machine learning tools is expected.

Competencies:

  • Strong coding skills in Python, R, MATLAB, or a similar data science programming language.
  • Familiarity with machine learning libraries such as Scikit learn, TensorFlow, NumPy, Pandas, PyTorch, or Keras.
  • Strong understanding of data analytics techniques and the ability to implement analytical approaches.
  • Curiosity, analytical rigor, and a commitment to modeling excellence.
  • Ability to work independently and contribute effectively to a collaborative, fast paced, multidisciplinary environment.
  • Ability to collaborate with geographically distributed teams and colleagues from a range of backgrounds.
  • Excellent written and verbal communication skills.

You. Unlimited

We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve.

Inclusion and Belonging- Committed to Welcoming, Celebrating, and Thriving. Learn more about Employee Inclusion Groups on our website

Other reasons why you will love it here!

Training:

  • Hands-On, Team-Customized, Mentorship

Smith+Nephew provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Stay connected by joining our Talent Community.

We're more than just a company - we're a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day.

Check us out on Glassdoor for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N.

Explore our website and learn more about our mission, our team, and the opportunities we offer.

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