Data Scientist, Business Intelligence

TresVista; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

TresVista is seeking a data-focused professional to work with enterprise data, solve business problems, and build analytics solutions. You will understand end-user needs, run Data Science experiments, implement ML models in production, and contribute to presentation layers using analytics and AI techniques.

The role involves handling structured and unstructured data, deploying models in production, and developing use cases in text analytics, classification, translation, chatbots, and

Qualifications

• Understand business problems and propose Data Science/AI solutions.
• Execute data science experiments and obtain approvals.
• Deploy solutions end-to-end using MLOps best practices.

Responsibilities

• Understand business problems and propose intelligent solutions leveraging Data Science, Machine Learning and AI.
• Execute data science experiments and get them approved.
• End to end deployment of approved solutions using MLOps best practices.
• Clear articulation and structuring of project findings.
• Technical skills to analyze large datasets to derive business insights.
• Develop analytics solutions and dashboards.

Skills

Data Science

Machine Learning

Artificial Intelligence

GenAI

Agentic AI

MLOps

Job description

TresVista enables Enterprise Intelligence Orchestration (EIO) by supporting the translation of insight into execution.
We are a global enterprise that delivers advisory-led solutions with technology and managed services. TresVista works with clients to orchestrate their data and drive outcomes across investment, analytics, and operational workflows, bringing together deep domain expertise with AI enabled execution and a structured approach to decision-making.

Role Overview

This role works with enterprise data to solve business problems, building and maintaining analytics solutions. The occupant shall understand the end user needs, help execute Data Science experiments, implement ML models in production and contribute towards presentation layer. The data involves both structured and unstructured data that should be leveraged for driving intelligence by implementing classical Machine Learning solutions, Deep Learning solutions, GenAI and Agentic AI solutions.

Roles and Responsibilities

• Capability to understand business problems and propose intelligent solutions leveraging Data Science, Machine Learning and Artificial Intelligence.
• Execute data science experiments and get them approved.
• End to end deployment of approved solutions using MLOps best practices.
• Clear articulation and structuring of project findings.
• Technical skills to analyze large datasets to derive business insights and create innovative solutions.
• Setup and develop use cases related to text analytics, classification, machine translation, chatbots etc. leveraging emerging technologies like GenAI and Agentic AI.
• Develop analytics solutions and dashboards.