Job Description

Experience Required:

2-5 Years

No. of vacancies:

4

Job Type:

Full Time

Vacancy Role:

WFO

Job Category:

Development

We are seeking a

Data Scientist

with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models.

Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus.

Roles & Responsibilities

Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions.

Qualifications

2+ years of professional experience

Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.).

Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skill
Job Type: Full-time

Pay: ?136,159.75 - ?1,600,000.00 per year

Benefits:

Flexible schedule Leave encashment Provident Fund
Schedule:

Day shift
Experience:

Data science: 2 years (Required)
Work Location: In person