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Data Scientist, Business Intelligence

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Onsite

Data Scientist, Business Intelligence

TresVista

Data Scientist, Business Intelligence

Skills

Deep LearningData ScienceData AnalysisMachine LearningAI

17 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 October 2026

What they need


Role description

About TresVista

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

  1. Capability to understand business problems and propose intelligent solutions leveraging Data Science, Machine Learning and Artificial Intelligence.

  2. Execute data science experiments and get them approved.

  3. End to end deployment of approved solutions using MLOps best practices.

  4. Clear articulation and structuring of project findings.

  5. Technical skills to analyze large datasets to derive business insights and create innovative solutions.

  6. Setup and develop use cases related to text analytics, classification, machine translation, chatbots etc. leveraging emerging technologies like GenAI and Agentic AI.

  7. Develop analytics solutions and dashboards.

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