Data Scientist, Business Intelligence

Tresvista Financial Services; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

TresVista in Bengaluru (India) is seeking a Data Scientist to work with enterprise data, build analytics solutions, and deploy ML models in production. You will understand end users, run data science experiments, and contribute to the presentation layer with dashboards and insights.

The role requires 3+ years in data science, strong Python skills, ML fundamentals, and experience with PySpark and Power BI. Familiarity with AWS Redshift/RDS is a plus.

Qualifications

• 3+ years hands-on experience in data science and ML.
• Credible certifications or a degree in statistics or data science.
• Strong Python and data visualization skills; familiarity with PySpark.

Responsibilities

• Understand business problems and propose intelligent data-driven solutions.
• Execute data science experiments and obtain approvals.
• Deploy end-to-end ML solutions using MLOps practices.
• Structure and present project findings clearly.
• Develop analytics solutions and dashboards; build text analytics/use cases with GenAI.

Skills

Data Science

Python

Machine Learning

PySpark

Data Visualization

Stakeholder mgmt

Communication

GenAI

AI Deployment

Education

Statistics/Data Science degree or certification

Tools

Power BI

AWS Redshift/RDS

PySpark

Job 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.

Required Skills

• Academic credentials (credible certifications, Diploma, Degree) in Statistics or Data Science.
• Candidates should have at least 3 years of hands‑on experience in data science, and machine learning.
• Strong understanding of data science, machine learning and artificial intelligence fundamentals.
• Familiarity with modern data science, machine learning and artificial intelligence libraries.
• Solid experience with Python ecosystem and object oriented programming. Exposure to PySpark to harness Big Data is a plus.
• Good experience in managing stakeholders.
• 1+ years of experience with data visualization/exploration tools including Power BI.
• Familiarity with the AWS ecosystem, specifically Redshift and RDS is desirable.
• Ability to articulate solutions and process designs clearly.
• Excellent, communication, and collaboration skills with a proven ability to align AI initiatives with business goals and deliver measurable outcomes
• Strategic thinking, problem-solving, and a strong team player