ResMed is hiring for a Data Scientist Intern role in India

Position:

• Data Scientist Intern

Company:

• ResMed

Location:

• Bangalore, India

Job Type:

• Full-time

Job Mode:

• Onsite

Job Requisition ID:

• JR_039875

Years of Experience:

• Not specified (Internship position)

Company Description:

• ResMed is a globally recognized leader in digital health technologies and cloud-connected medical devices.

• The company specializes in providing innovative solutions for managing chronic diseases like sleep apnea and COPD.

• With a presence in over 140 countries, ResMed’s mission is to improve patients’ quality of life, reduce chronic disease burdens, and lower healthcare costs.

• ResMed’s Global Technology Solutions (GTS) division focuses on creating scalable, secure platforms for patients, healthcare providers, and businesses.

• The GTS team aligns its goals across various functions, ensuring seamless collaboration and efficiency.

• By leveraging AI and ML, ResMed continues to enhance patient care through data-driven insights.

• The company fosters an inclusive, innovative workplace culture that encourages professional growth.

• It has a strong commitment to diversity, inclusion, and equal employment opportunities.

Profile Overview:

• The Data Scientist Intern role is an excellent opportunity for students interested in gaining hands-on experience in AI and ML.

• Interns will collaborate with teams to develop cutting-edge AI-powered solutions aimed at improving healthcare outcomes.

• They will contribute to various projects, from analyzing sleep data to optimizing medical equipment recommendations.

• Responsibilities include data collection, preprocessing, model development, and collaboration with cross-functional teams.

• Interns will be exposed to the entire data science lifecycle, gaining practical insights into the industry.

• The role involves researching and developing statistical and ML algorithms to enhance healthcare solutions.

• The intern will have the chance to work with real-world datasets and contribute to meaningful research.

• The position is well-suited for candidates passionate about AI-driven healthcare innovations.

Qualifications:

Required Skills:

• Experience in statistical analysis methods such as regression, time series analysis, and survival analysis.

• Strong knowledge of Python for data analysis and machine learning model development.

• Understanding of probability, statistics, and various machine learning algorithms.

• Familiarity with data visualization tools like Matplotlib, Seaborn, or Tableau.

• Basic proficiency in SQL and working with relational databases.

• Hands-on experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.

• Strong problem-solving and analytical skills.

• Ability to work effectively in a team and communicate findings clearly.

Preferred Skills:

• Familiarity with cloud platforms like AWS.

• Experience with big data tools such as Spark or Hadoop.

• Knowledge of NLP, Computer Vision, or Time Series Analysis.

• Understanding of version control systems like GitHub.

Additional Info:

• The internship provides mentorship from experienced data scientists.

• Interns will gain exposure to state-of-the-art tools and technologies in AI and ML.

• The company promotes a collaborative and inclusive work culture.

• The role offers a unique opportunity to contribute to impactful projects in healthcare.

• ResMed emphasizes professional growth, encouraging interns to take initiative and explore new ideas.

• The company is committed to responding to every applicant, ensuring a transparent hiring process.

• ResMed is an equal opportunity employer, welcoming applicants from diverse backgrounds.

• The internship experience will help interns build a strong foundation in data science and AI-driven healthcare solutions.

• Selected candidates will work in an environment that fosters creativity, innovation, and excellence.

• The position offers a chance to work with industry leaders in digital health and AI.

Please click here to apply.

✖

Before you go further ...

or

Direct apply link!