Python Data Scientist

Lonvec Technologies Private Limited; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Lonvec Technologies Private Limited is seeking a talented Data Scientist to analyze complex datasets, build predictive ML models, and deliver data-driven insights to support business decisions.

The role requires strong Python skills, statistical analysis, machine learning, and data visualization. You will collaborate with data engineers and business teams to deploy models and create actionable dashboards.

Qualifications

• Proficiency in Python for data analysis and ML model development.
• Experience with data cleaning, feature engineering, and EDA.
• Ability to create dashboards and visualizations to communicate insights.
• Experience deploying models and building data pipelines.

Responsibilities

• Collect, clean, and analyze large datasets from multiple sources.
• Develop predictive and machine-learning models using Python.
• Perform exploratory data analysis (EDA) and feature engineering.
• Create dashboards and visualizations to communicate insights.

Skills

Python

Statistical Analysis

Machine Learning

Data Visualization

Data Cleaning

Exploratory Data Analysis

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

Matplotlib

Job description

Data Science / Python Analytics & Machine Learning Full-time Hybrid

We are looking for a talented Python Data Scientist to analyze complex datasets, develop predictive models, and deliver data-driven insights that support business decision-making. The ideal candidate will have strong expertise in Python, statistical analysis, machine learning, and data visualization. You will work with structured and unstructured data, build predictive models, and collaborate with business stakeholders to solve real-world challenges.

• Collect, clean, and analyze large datasets from multiple sources
• Develop predictive and machine learning models using Python
• Perform exploratory data analysis (EDA) and feature engineering
• Create dashboards and visualizations to communicate insights
• Build data pipelines for model training and deployment
• Evaluate model accuracy and continuously improve performance
• Collaborate with data engineers and business teams
• Document methodologies, findings, and recommendations
• Deploy machine learning models into production environments
• Stay updated with the latest trends in Data Science and AI

Requirements

Interested in this role?