Data Scientist Executive

GSTSahay; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Online PSB Loans (OPL Innovate) seeks a Sr. Data Scientist to build analytics-led, AI-driven solutions for internal and external users.

You will work on predictive modeling, ML, computer vision, NLP, and LLM-based solutions, including unstructured data like documents and images, with real-world production deployment. You will collaborate with engineering, product, marketing, and leadership to translate business problems into data science, drive innovation, and improve decision-making through

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering or related field.
• Master’s degree preferred (CS/Statistics/Math).
• Strong proficiency in Python and SQL; production-grade ML experience.

Responsibilities

• Build analytics-led, AI-driven solutions for stakeholders and clients.
• Develop predictive models, ML, Computer Vision, NLP and LLM-based solutions.
• Deploy models into production and monitor performance.
• Collaborate with engineering, product, and leadership to drive impact.

Skills

Python

SQL

ML deployment

PyTorch

TensorFlow

EDA

Data visualization

Education

Bachelor's in CS/DS/Engineering

Master's degree preferred

Tools

scikit-learn

PyTorch

TensorFlow

Hugging Face Transformers

Job description

Key Requirements

• 3–5 years of experience in Data Science / Machine Learning roles.
• Prior experience in fintech, banking, lending, or financial services is highly preferred.

Location

• Ahmedabad

Working Hours

• Full-time

Preferred Skills

• 3–5 years of experience in Data Science / Machine Learning roles.
• Prior experience in fintech, banking, lending, or financial services is highly preferred.

Candidate with Good Communication Skill

About The Company

Online PSB Loans (OPL Innovate) is a revolutionary digital credit infrastructure company that builds and integrates cutting-edge technology to automate and digitize lending for MSMEs and retail borrowers. The platform enables seamless credit distribution by connecting borrowers, lenders, and ecosystem partners through data-driven decisioning and advanced analytics. With a strong focus on innovation, the company is expanding its digital footprint across multiple industry segments, leveraging AI, analytics, and scalable cloud infrastructure.

Role Overview

The Sr. Data Scientist / Data Scientist Executive will be responsible for building analytics-led, AI-driven solutions for internal stakeholders (Senior Management, Business, Marketing, Product) and external customers (Banks, MSMEs, and Retail borrowers). This role involves working on predictive modelling, machine learning, computer vision, NLP, and LLMbased solutions, especially for unstructured data such as documents and images, with real-world deployment in production environments.

Analytics & Machine Learning

• Analyse large volumes of structured and unstructured data to identify trends, patterns, and actionable insights.
• Design, build, validate, and deploy predictive models, ML algorithms, and statistical models.
• Develop and productionize models such as Logistic Regression, Random Forest, XGBoost, deep learning models, etc.
• Conduct EDA, feature engineering, and performance evaluation using appropriate metrics.

Computer Vision & Document AI

• Build and deploy computer vision solutions including object detection, image classification, OCR, and segmentation.
• Develop Document AI pipelines for extracting insights from scanned documents, PDFs, and images.
• Integrate OCR engines (Tesseract, PaddleOCR, etc.) with ML and LLM pipelines.

NLP & LLM

• Design and fine-tune LLM-based pipelines for information extraction, document summarization, chatbots, and reasoning systems.
• Work with Hugging Face Transformers, LangChain, GPT/LLaMA-based models, and prompt engineering.
• Implement RAG pipelines and multi-modal AI solutions where applicable.

Collaboration & Business Impact

• Work closely with engineering, product, business, marketing, and leadership teams to translate business problems into data science solutions.
• Proactively suggest innovative analytical approaches to improve decision‑making and operational efficiency.
• Present insights, findings, and model outcomes effectively to technical and non-technical stakeholders.

Qualifications

• Minimum bachelor’s degree in computer science, Data Science, Engineering, Statistics, Mathematics, or related field.
• Master’s degree preferred (Computer Science, Statistics, Mathematics, or equivalent).

Technical Skills (Mandatory)

• Strong proficiency in Python and SQL.
• Hands‑on experience in machine learning model development and deployment (at least one production‑grade ML solution).
• Solid understanding of machine learning fundamentals, probability, statistics, and linear algebra.
• Experience with ML/DL frameworks: scikit‑learn, PyTorch, TensorFlow.
• Experience with data visualization libraries and multidimensional data analysis.
• Experience with web scraping and data extraction from multiple data sources.

Good To Have

• Experience in credit risk modeling, credit scoring, fraud detection, or income estimation.
• Exposure to PySpark, Spark, AWS (EC2, SageMaker) or other cloud platforms (GCP/Azure).
• Experience with MLops tools and real‑world model deployment.
• Familiarity with computer vision frameworks (YOLO, Detectron2, MMDetection).
• Experience with multi‑modal AI systems and CV + LLM integrations.

Behavioural & Soft Skills

• Strong presentation and communication skills (written and verbal).
• Excellent business understanding and stakeholder management.
• Ability to work independently, take ownership, and drive results.
• Proactive, analytical, and problem‑solving mindset.