Data Scientist

Peoplefy Infosolutions; Pune District; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Peoplefy Infosolutions in Pune seeks a Data Scientist to develop and deploy ML solutions, perform data mining, and conduct EDA across numeric, text, and image data. You will collaborate with stakeholders to translate insights into actionable outcomes.

Strong Python expertise and experience with Scikit-learn, PyTorch, TensorFlow, or Keras are essential, with exposure to Azure ML services and ML deployment throughout projects.

Qualifications

• Hands-on experience in machine learning, statistical modeling, and Python.
• Strong knowledge of Scikit-learn, PyTorch, TensorFlow, or Keras.
• Experience in data mining, wrangling, EDA, visualization, and feature engineering.
• Hands-on experience with Azure Cloud and ML services.
• Experience in ML model deployment and working with numeric, text, and image data.

Responsibilities

• Develop and deploy Machine Learning models to solve business problems.
• Perform data mining, data wrangling, EDA, feature engineering, visualization, and dataset creation.
• Select appropriate algorithms/models based on business requirements.
• Work with numeric, text, and image datasets.
• Identify automation opportunities and develop data-driven solutions.
• Build and improve practical AI/ML solutions independently.
• Work with cloud platforms, Azure ML services, and ML deployment.
• Collaborate with stakeholders to translate data insights into actionable solutions.
• Work with healthcare data sources such as EMR, Epic, laboratory, and pharmacy data where applicable.

Skills

Machine Learning

Python

Statistics

Data analysis

Data mining

Wrangling

EDA

Visualization

Feature engineering

Problem-solving

Analytical skills

Tools

Scikit-learn

PyTorch

TensorFlow

Keras

Azure Cloud

ML deployment

Job description

Data Scientist

Location: Pune
Shift: 2:00 PM 11:00 PM

Job Summary:

We are looking for an experienced Data Scientist with strong expertise in Machine Learning, AI/ML, Python, statistics, and data analysis. The candidate will be responsible for developing and deploying data-driven solutions, identifying automation opportunities, and solving complex business problems using ML and AI techniques.

Key Responsibilities

• Develop and deploy Machine Learning models to solve business problems.
• Perform data mining, data wrangling, EDA, feature engineering, visualization, and dataset creation.
• Select appropriate algorithms/models based on business requirements.
• Work with numeric, text, and image/imaging datasets.
• Identify automation opportunities and develop data-driven solutions.
• Build and improve practical AI/ML solutions independently.
• Work with cloud platforms, Azure ML services, and ML deployment.
• Collaborate with technical and business stakeholders to translate data insights into actionable solutions.
• Work with healthcare data sources such as EMR, Epic, laboratory, and pharmacy data where applicable.

Required Skills

• Hands‑on experience in Machine Learning, statistical modeling, and Python.
• Strong knowledge of Scikit-learn, PyTorch, TensorFlow, or Keras.
• Strong experience in data mining, wrangling, EDA, visualization, and feature engineering.
• Hands‑on experience with Azure Cloud and ML services.
• Experience in ML model deployment.
• Experience working with numeric, text, and image data.
• Strong problem‑solving and analytical skills.