Data Scientist

Data Scientist

Experience:

Salary :

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Machine Learning, Scikit-learn, PyTorch, TensorFlow, Ml models, Python, SQL

Digitap (One of Uplers' Clients) is Looking for:

Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

As a Data Scientist Machine Learning, you will design and develop advanced ML models for credit scoring and risk assessment, while also leading research and innovation in large-scale transformer-based systems.

Key Responsibilities:

• Credit & Risk Analytics: Design, develop, and optimize ML models for credit scoring, risk prediction, and scorecard generation.
• Model Deployment & Automation: Implement scalable pipelines for model training, validation, and deployment in production environments.
• Feature Engineering: Identify, extract, and engineer key features from structured and unstructured data to enhance model performance.
• Model Monitoring: Establish continuous monitoring frameworks to track model drift, performance metrics, and data quality.
• Research & Innovation: Explore and apply state-of-the-art ML and transformer architectures to improve predictive accuracy and interpretability.
• Collaboration: Work closely with data engineers, product managers, and domain experts to translate business objectives into robust ML solutions.

Required Skills and Experience:

• Machine Learning: 2+ years of hands-on experience in developing, training, and deploying ML models for structured or tabular data.
• Statistical Modeling: Solid understanding of statistical concepts, feature engineering, and model evaluation techniques.
• ML Frameworks: Experience with scikit-learn, PyTorch, or TensorFlow for building and optimizing predictive models.
• Python Programming: Strong proficiency in Python, with experience using NumPy, Pandas, and Matplotlib for data manipulation and analysis.
• Data Handling: Practical experience with large datasets, data cleaning, preprocessing, and transformation for ML workflows.
• SQL & APIs: Proficiency in writing SQL queries and integrating ML models with APIs or backend systems.
• Version Control & Collaboration: Familiarity with Git and collaborative model development practices.
• Analytical Thinking: Strong problem-solving skills with the ability to translate business problems into data-driven ML solutions.

Preferred Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
• Experience: Min2 years of experience in machine learning, data analytics, or applied statistics roles.
• Cloud Platforms: Exposure to AWS, GCP, or Azure for model deployment or data processing.
• Domain Knowledge: Familiarity with fintech, credit risk, or business analytics domains.
• Automation & MLOps: Basic understanding of model deployment, monitoring, or pipeline automation tools.
• Continuous Learning: Enthusiasm for exploring new ML algorithms, open-source tools, and emerging technologies in data science.

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

We bring solutions to make life easier for our customers

• Advanced Automated Risk Management - Scorecards for better evaluation: Network/ SMS/ Social Media / E-commerce / Cash Flow
• Customer Onboarding - Identify your Cx better, backend verification of all govt. documents
• API based Plug In Solution - Get Live soon with faster integrations, dedicated project team for launch
• Faster Processing - Best in Market speeds of execution with high Accuracy rates
• Cost Efficiency - Low Cost Solutions to maintain your efficiency and Bottom-Line
• Scalable Solutions - Scale from 'ooos to 'ooo,ooos Cxs with minimal disruption and sans any hassle

DIGITAP provides high tech advanced AI/ML solutions to new age internet driven businesses for reliable, fast and 100% compliant Customer Onboarding, Automated Risk Management along with Big Data enabled services like Risk Analytics and Customized Scorecards. Our proprietary Machine Learning Algorithms and Modules provide one of the best success rates in the market.

Our Services includes -

1. LOS and Customer Onboarding Suite

2. Employment & Income Verification

3. Account Aggregator Solutions

4. Alternate Data Based Risk Management Suite

5. Expense Manager

6. Digi - KYC

7. Digilocker

8. Digi Sign & Digi - Nach

All the solutions are accessible in the form of easy to integrate APIs.

About Uplers:

Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.

With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

Role & responsibilities

Preferred candidate profile