Senior Data Scientist

About Tavant

With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions are routinely rated high by the industry.

Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. And we don’t focus just on what we do – we also care how we do it. So, bring your talent and ambition to make a difference. We’ll create a world of opportunities for you.

Job Title :

Senior Data Scientist

Work Location : Bangalore ,

Pune, Kolkata, Noida, Hyderabad.

Work Experience : 6 -10 years.

Roles & Responsibilities

Design, develop, and deploy

machine learning models

to solve business problems.

Work with

BigQuery SQL

to handle large-scale data extraction, transformation, and processing.

Lead the

model development lifecycle : data cleansing, feature engineering, training, validation, and deployment.

Collaborate closely with

production engineering teams

to operationalize ML models.

Perform

predictive and statistical modeling

to support data-driven decision-making.

Contribute to

text analytics and NLP initiatives

to enhance insights from unstructured data.

Work with stakeholders to understand requirements and translate them into

scalable ML solutions .

Document processes, methodologies, and best practices for model building and deployment.

Job Requirements

Mandatory Skills

Strong proficiency in

BigQuery SQL .

Hands-on experience in

Machine Learning, Data Science, Predictive Modeling, and Statistical Modeling .

Expertise in

model deployment

and working with engineering teams for productionization.

Experience with

Python / R

and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).

Solid understanding of

data cleansing, preprocessing, and feature engineering .

~5 years of professional experience in

Machine Learning and Data Science

roles.

Bachelor’s / Master’s in

Computer Science, Data Science, Statistics, Mathematics, or a related field .

Good to Have

Experience in the

mortgage / financial domain .

Knowledge of

Text Analytics / NLP techniques

(e.g., sentiment analysis, topic modeling, NER).

Familiarity with cloud platforms (GCP preferred, AWS / Azure is a plus).