Jr. Data Scientist

The iScale; Mumbai; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Deep Learning frameworks

Agentic AI

Data visualization tools

Job summary

The iScale in Mumbai is seeking a junior Data Scientist to join our analytics team. You will apply Python for data analysis, build ML models, and collaborate with colleagues on practical business problems.

You should have a solid foundation in SQL, data preprocessing, feature engineering, and model evaluation, plus curiosity about NLP and DL. This is an opportunity to learn and grow in a fast-paced environment.

Qualifications

• Strong proficiency in Python for data analysis and ML tasks.
• Basic to intermediate SQL knowledge for data extraction and manipulation.
• Basic knowledge and understanding of Machine Learning and LLM concepts.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Good problem-solving skills and analytical thinking.

Responsibilities

• Work with datasets to clean, preprocess, and perform exploratory data analysis.
• Develop and implement ML models.
• Write efficient Python scripts for data processing and analysis.
• Query and manipulate data using SQL.
• Collaborate with team members to solve real-world business problems using data-driven insights.
• Stay updated with emerging trends in ML and AI.

Skills

Python

SQL

Machine Learning

LLM concepts

Data preprocessing

Feature engineering

Model evaluation

Analytical thinking

Education

Bachelor’s degree or equivalent in Computer Science/Data Science/Statistics/Mathematics

Job description

We are looking for an enthusiastic and motivated JR. Data Scientist to join our team. The ideal candidate will have a strong foundation in Python programming, basic to intermediate SQL skills, and a solid understanding of Machine Learning (ML) concepts. Exposure to Deep Learning, Agent building and NLP techniques will be considered a plus.

Key Responsibilities:

• 1. Work with datasets to clean, preprocess, and perform exploratory data analysis.
• 2. Develop and implement ML models.
• 3. Write efficient Python scripts for data processing and analysis.
• 4. Query and manipulate data using SQL.
• 5. Collaborate with team members to solve real-world business problems using data-driven insights.
• 6. Stay updated with emerging trends in ML and AI.

Required Skills & Qualifications:

• 1.Strong proficiency in Python for data analysis and ML tasks.
• 2.Basic to intermediate SQL knowledge for data extraction and manipulation.
• 3.Basic knowledge and understanding of Machine Learning and LLM concepts.
• 4.Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• 5.Good problem-solving skills and analytical thinking.

Nice to Have:

• 1.Exposure to Deep Learning frameworks (TensorFlow, PyTorch, etc.)
• 2.Understanding of Agentic AI and optimization techniques.
• 3.Hands-on experience with data visualization tools or libraries.

Education:

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (or equivalent practical experience).