Verified Job
IT / Software / Data Analyst
Senior Data Scientist, Business Intelligence
IT / Software / Data Analyst
#746783
Remote / WFH
TresVista · Bengaluru, Karnataka
Job Description
Job description
Role Description
About TresVista
TresVista is a global enterprise whose business model is built to deliver enduring value. TresVista combines best practices, technology enabled execution, and industry-leading talent to drive meaningful results. By integrating advisory capabilities with scalable delivery, TresVista helps clients operate smarter and grow stronger. TresVista’s services include investment diligence, industry research, valuation, fund administration, accounting, and data analytics.
Role Overview
This role works with data to solve business problems, building and maintaining analytics solutions. The occupant shall understand the end user needs, help build analytics dashboards, models or presentation solution. for data based decisioning. They shall work closely with business users and data engineering team to develop data models and pipelines for research, reporting, and machine learning. You’ll be expected to not just drive building of Business Intelligence solution within the organization but to also mentor a few junior analysts/data scientists.
Roles And Responsibilities
• Build Data Intelligent solutions
• 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
• Setup and develop use cases related to text analytics, classification, machine translation, chatbots etc. leveraging emerging technologies like GenAI and Agentic AI
• Develop analytics solution:
• Develop analytics solutions and dashboards
• Responsible for development, deployment, and validation of predictive model(s)
• Analyze large amounts of data to derive business insights and create innovative solutions
Prerequisites
• 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. Exposure to PySpark to harness Big Data is a plus
• Good experience in managing stakeholders
• Three or more years of experience with data visualization/exploration tools including Power BI
• Familiarity with the AWS ecosystem, specifically Redshift and RDS
• Ability to articulate solutions and process designs clearly
Experience
• Candidates should have at least 5 years of hands-on experience in data science, and machine learning, with at least 2+ years in a team leader role
• 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
Education
A Bachelor/Master degree from a Tier I institute or a Ph.D. in data science, computer science, statistics, or a related quantitative field is preferred.
Compensation
The compensation structure will be as per industry standards
Role Description
About TresVista
TresVista is a global enterprise whose business model is built to deliver enduring value. TresVista combines best practices, technology enabled execution, and industry-leading talent to drive meaningful results. By integrating advisory capabilities with scalable delivery, TresVista helps clients operate smarter and grow stronger. TresVista’s services include investment diligence, industry research, valuation, fund administration, accounting, and data analytics.
Role Overview
This role works with data to solve business problems, building and maintaining analytics solutions. The occupant shall understand the end user needs, help build analytics dashboards, models or presentation solution. for data based decisioning. They shall work closely with business users and data engineering team to develop data models and pipelines for research, reporting, and machine learning. You’ll be expected to not just drive building of Business Intelligence solution within the organization but to also mentor a few junior analysts/data scientists.
Roles And Responsibilities
• Build Data Intelligent solutions
• 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
• Setup and develop use cases related to text analytics, classification, machine translation, chatbots etc. leveraging emerging technologies like GenAI and Agentic AI
• Develop analytics solution:
• Develop analytics solutions and dashboards
• Responsible for development, deployment, and validation of predictive model(s)
• Analyze large amounts of data to derive business insights and create innovative solutions
Prerequisites
• 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. Exposure to PySpark to harness Big Data is a plus
• Good experience in managing stakeholders
• Three or more years of experience with data visualization/exploration tools including Power BI
• Familiarity with the AWS ecosystem, specifically Redshift and RDS
• Ability to articulate solutions and process designs clearly
Experience
• Candidates should have at least 5 years of hands-on experience in data science, and machine learning, with at least 2+ years in a team leader role
• 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
Education
A Bachelor/Master degree from a Tier I institute or a Ph.D. in data science, computer science, statistics, or a related quantitative field is preferred.
Compensation
The compensation structure will be as per industry standards
