Junior Data Scientist_96931

MyCareernet; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading digital organization is seeking a machine learning expert to develop and deploy models for financial applications, including time-series forecasting and chatbot design. Candidates should have strong predictive modeling skills, proficiency in machine learning frameworks, and the ability to collaborate effectively with cross-functional teams. A Bachelor's or Master's degree in a related field is required. Join a dynamic team dedicated to leveraging AI for innovative solutions.

Qualifications

• Strong experience in predictive modeling and statistical analysis.
• Proficiency in machine learning frameworks like scikit-learn, TensorFlow, and PyTorch.
• Knowledge of LLMs, RAG frameworks, and Agentic AI architectures.
• Hands-on experience with chatbot development and prompt engineering.
• Understanding of MLOps practices for deployment and monitoring.

Responsibilities

• Develop and deploy machine learning models for various financial applications.
• Perform feature engineering using diverse data sources.
• Evaluate models ensuring interpretability and performance.
• Design chatbots leveraging LLMs for customer support.
• Collaborate with teams to integrate AI services via APIs.

Skills

Predictive modeling

Statistical analysis

Machine learning frameworks

Time-series forecasting

Financial data modeling

LLMs knowledge

RAG frameworks

Chatbot development

Prompt engineering

MLOps practices

Python proficiency

SQL proficiency

Data science tools

Analytical skills

Cross-functional collaboration

Education

Bachelor's or Master's degree in Data Science

Bachelor's or Master's degree in Computer Science

Bachelor's or Master's degree in Statistics

Bachelor's or Master's degree in Mathematics

Job description

Company: Indian / Global Digital Organization

Responsibilities

• Develop and deploy machine learning models for time-series forecasting, classification, regression, stock scoring, and portfolio analysis.
• Perform feature engineering using financial, market, and alternative data.
• Evaluate models using statistical and financial performance metrics, ensuring interpretability for decision-making.
• Design and build LLM-powered chatbots for investment insights and customer support, implementing prompt engineering techniques.
• Build Retrieval-Augmented Generation (RAG) frameworks and design Agentic AI architectures for collaborative tasks.
• Deploy models using MLOps best practices, ensuring scalability and monitoring.
• Collaborate with backend and frontend teams to integrate AI services via APIs.
• Work closely with product managers to translate business requirements into AI solutions.
• Stay updated with trends in quantitative finance, machine learning, and generative AI.

Skills

• Strong experience in predictive modeling and statistical analysis
• Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, etc.)
• Experience in time-series forecasting and financial data modeling
• Knowledge of LLMs, RAG frameworks, and Agentic AI architectures
• Hands-on experience with chatbot development and prompt engineering
• Understanding of MLOps practices for deployment and monitoring
• Ability to perform feature engineering using financial, market, and alternative data
• Proficiency in Python, SQL, and relevant data science tools
• Strong problem-solving, analytical, and quantitative skills
• Ability to collaborate with cross-functional teams (backend, frontend, product managers)
• Awareness of trends in quantitative finance, AI, and generative AI

Education

Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field