Data Science Intern

HypTechie; Bengaluru; On-site; INR 300,000 - 520,000; Full time

Job summary

HypTechie in Bengaluru seeks a data science & machine learning student for a Full Time permanent role in Data Science & Analytics. You will work with datasets on fitness, nutrition, and mental wellness, applying ML methods to derive actionable insights and improve user experience.

Collaborate across teams to perform EDA, develop and evaluate models, and create clear visualizations translating findings into measurable product improvements. Strong communication and teamwork are essential.

Qualifications

• Pursuing a Bachelor's or Master's in a relevant field.
• Proficiency in Python or R.
• Experience with data manipulation using pandas, NumPy, scikit-learn.
• Familiarity with ML algorithms and statistical methods.
• Data visualization skills with Matplotlib, Seaborn, or Tableau.
• Strong analytical, problem-solving, and communication skills.
• Excellent teamwork abilities.

Responsibilities

• Assist in collection, cleaning, and preprocessing of large datasets related to fitness, nutrition, and mental wellness.
• Conduct exploratory data analysis (EDA) to identify trends and patterns that can drive product and service improvements.
• Develop, implement, and evaluate machine learning models to enhance user experience and engagement.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven insights.
• Create visualizations and reports to effectively communicate findings to stakeholders.
• Stay up-to-date with the latest industry trends, tools, and techniques in data science and health analytics.

Skills

Python

R

Analytical thinking

Communication

Teamwork

Education

Bachelor's or Master's in DS/CS/Stats/Math

Tools

Pandas

NumPy

scikit-learn

Matplotlib

Seaborn

Tableau

Hadoop

Spark

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

Role: Data Science & Machine Learning – Other
Industry Type: Miscellaneous
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning

Job description

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong programming skills in Python or R.
• Experience with data manipulation and analysis using libraries such as pandas, NumPy, and scikit-learn.
• Familiarity with machine learning algorithms and statistical methods.
• Proficiency in data visualization tools like Matplotlib, Seaborn, or Tableau.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Preferred Qualifications

• Understanding of the health and wellness industry.
• Experience with big data technologies such as Hadoop or Spark.
• Knowledge of deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azur

Roles and Responsibilities

• Assist in the collection, cleaning, and preprocessing of large datasets related to fitness, nutrition, and mental wellness.
• Conduct exploratory data analysis (EDA) to identify trends and patterns that can drive product and service improvements.
• Develop, implement, and evaluate machine learning models to enhance user experience and engagement.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven insights.
• Create visualizations and reports to effectively communicate findings to stakeholders.
• Stay up-to-date with the latest industry trends, tools, and techniques in data science and health analytics.