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High Insight Pte Ltd is conducting a walk-in drive in Bangalore for Data Science and Artificial Intelligence fresher opportunities on 10 October 2026. The company is hiring entry-level candidates with 0–1 years of experience for Data Scientist roles, with 20 openings available.

This opportunity is suitable for 2025 and 2026 pass-outs who have a strong understanding of Data Science, Machine Learning and Artificial Intelligence concepts. Candidates should have basic to good knowledge of Python, SQL, Pandas, NumPy, Scikit-learn and data visualization tools.

High Insight Walk-In Drive Summary

DetailsInformation
Company NameHigh Insight Pte Ltd
Job RoleData Scientist – Data Science & AI
Experience0–1 Years
Salary₹3–4 LPA
LocationBengaluru
Openings20 Vacancies
Employment TypeFull-Time, Permanent
DepartmentData Science & Analytics
Role CategoryData Science & Machine Learning
Eligible Batch2025 / 2026 Pass-outs

The Data Scientist role at High Insight involves working on data analysis, data modelling and machine learning algorithms. Selected candidates will assist in building and deploying AI and ML models for real-world business problems.

Candidates will also work on data cleaning, transformation and visualization while collaborating with cross-functional teams to understand business requirements. The role includes supporting the development of predictive and analytical solutions and documenting processes, models and outcomes.

This opportunity is targeted mainly at fresh graduates and entry-level candidates who already have academic or project exposure in Artificial Intelligence, Machine Learning or Data Science.

Eligibility Criteria

Candidates applying for the High Insight Data Science and AI walk-in should have a B.E or B.Tech degree in Computer Science or a related field. Candidates from Computer Science and Engineering, Artificial Intelligence and Data Science, and Artificial Intelligence and Machine Learning backgrounds are eligible as mentioned in the job description. Applicants should belong to the 2025 or 2026 graduating batch and must have academic or project exposure in AI, ML or Data Science.

A strong understanding of Data Science and Machine Learning concepts is mandatory for this opportunity. Candidates should also have good communication skills and basic understanding of statistics and problem-solving approaches. Cloud certifications or knowledge of AWS, Azure or GCP will be considered an advantage.

Key Skills Required

Candidates should have knowledge or exposure to the following technologies and concepts:

  • Python
  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • SQL
  • Pandas
  • NumPy
  • Scikit-learn
  • Data Visualization
  • Matplotlib
  • Power BI
  • Statistics
  • Data Handling

Basic-level knowledge of libraries such as Pandas, NumPy and Scikit-learn is acceptable according to the provided job description.

Role and Responsibilities

Selected candidates will work on data analysis, data modelling and machine learning algorithms.

They will assist in building and deploying AI and ML models for real-world business problems and support the development of predictive and analytical solutions.

The role also involves performing data cleaning, transformation and visualization and working with cross-functional teams to understand business requirements.

Candidates will also be expected to document processes, models and project outcomes clearly.

High Insight Bangalore Walk-In Details

Walk-In DetailsInformation
Date10 October 2026
Time10:00 AM – 4:00 PM
VenueHigh Insight Solution, First Floor, 130, 6th Cross, Panduranga Nagar, Bannerghatta Road, Bangalore – 560076

Mandatory Requirement: Candidates must have a strong understanding of Data Science and Machine Learning concepts. Academic or project exposure in AI, ML or Data Science is required for this opportunity. The advertised salary for this role is ₹3–4 LPA, and the company is considering candidates with 0–1 years of experience.

High Insight Pte Ltd is a Data Science and Artificial Intelligence company focused on helping enterprises use data for better decision-making, operational efficiency and business growth.

The company works across advanced analytics, Machine

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