Colaberry logo
🔥 Viewed by 60 students today✓ Verified Listing

Data Science Engineer

ColaberryCompetition: Moderate • Entry Level
|Hyderabad|By CampusToCareer Editorial Team|Posted 2 days ago|Last verified 2 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Jul 2, 2026
💼 Experience Required
0-1 Years
🕒 Employment Type
Full-time
🎓 Target Batch
2024, 2025, 2026
🚀 Role Category
Data Science
📌 How to Apply
Share your CV
💰 Salary
Paid
Skills Recommended
Data ScienceMachine LearningAnalytics
Career Guide • 10 min read

Complete preparation guide for Data Science Engineer at Colaberry

As a Data Science Engineer at Colaberry, you will be working with a team of experts in the field of data science, machine learning, and analytics. You will be responsible for analyzing complex data sets, developing predictive models, and creating data visualizations to communicate insights to stakeholders. This role requires a strong foundation in data science, machine learning, and analytics, as well as excellent problem-solving skills and attention to detail.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 3 Jul 2026

About Colaberry

Colaberry is a company that specializes in helping enterprise organizations turn data into measurable business outcomes. They operate at the intersection of technology execution and workforce transformation, delivering impact in three core areas: Specialized AI & Data Expertise, Agentic Automation & Intelligent Systems, and Workforce Transformation. Colaberry provides highly targeted contract professionals across various fields, including machine learning, AI engineering, data architecture, and more. They design, build, and operationalize production-grade AI systems inside complex enterprise environments.

Required Skills Explained

Data Science

Why required: Data science is a critical skill for this role as it involves analyzing complex data sets and developing predictive models. The ability to collect, analyze, and interpret large data sets is essential for making informed business decisions.

How recruiters evaluate: The recruiter will be looking for candidates who have a strong foundation in data science, including data wrangling, data visualization, and machine learning. They will also be evaluating the candidate's ability to communicate complex data insights to non-technical stakeholders.

  • Coursera - Data Science Specialization
  • edX - Data Science Essentials
  • DataCamp - Data Science with Python

Machine Learning

Why required: Machine learning is a key skill for this role as it involves developing predictive models and algorithms to analyze complex data sets. The ability to implement machine learning algorithms and evaluate their performance is essential for making informed business decisions.

How recruiters evaluate: The recruiter will be looking for candidates who have a strong foundation in machine learning, including supervised and unsupervised learning, neural networks, and deep learning. They will also be evaluating the candidate's ability to implement machine learning algorithms in a production environment.

  • Coursera - Machine Learning
  • Stanford University - Machine Learning
  • Kaggle - Machine Learning Tutorials

Analytics

Why required: Analytics is a critical skill for this role as it involves analyzing complex data sets and developing insights to inform business decisions. The ability to collect, analyze, and interpret large data sets is essential for making informed business decisions.

How recruiters evaluate: The recruiter will be looking for candidates who have a strong foundation in analytics, including data visualization, statistical analysis, and data mining. They will also be evaluating the candidate's ability to communicate complex data insights to non-technical stakeholders.

  • Coursera - Analytics Specialization
  • edX - Analytics Essentials
  • DataCamp - Analytics with Python

Who Should Apply

freshers

Freshers who are passionate about data science, machine learning, and analytics should apply for this role. The company is looking for enthusiastic and analytical individuals who are willing to learn and grow with the organization.

experienced

Experienced professionals may not be the best fit for this role as it is designed for freshers. However, experienced professionals who are looking to transition into a data science role may also be considered.

graduates

Graduates from premium institutes who have a strong foundation in data science, machine learning, and analytics should apply for this role.

btech

B.Tech graduates from premium institutes who have a strong foundation in data science, machine learning, and analytics should apply for this role.

mca

MCA graduates from premium institutes who have a strong foundation in data science, machine learning, and analytics should apply for this role.

diploma

Diploma holders from premium institutes who have a strong foundation in data science, machine learning, and analytics should apply for this role.

Typical Hiring Process

  1. Round 1: The first round of the hiring process will involve a review of the candidate's resume and cover letter. The recruiter will be looking for candidates who have a strong foundation in data science, machine learning, and analytics.
  2. Round 2: The second round of the hiring process will involve a technical interview. The recruiter will be evaluating the candidate's technical skills in data science, machine learning, and analytics.
  3. Round 3: The third round of the hiring process will involve a final interview with the hiring manager. The recruiter will be evaluating the candidate's fit with the company culture and their ability to communicate complex data insights to non-technical stakeholders.

Resume Tips for This Role

  • Tailor your resume to the job description and highlight your skills in data science, machine learning, and analytics.
  • Use specific examples to demonstrate your skills and experience in data science, machine learning, and analytics.
  • Use action verbs such as 'analyzed', 'developed', and 'implemented' to describe your experience in data science, machine learning, and analytics.

Interview Preparation Tips

  • Be prepared to answer technical questions related to data science, machine learning, and analytics.
  • Use specific examples to demonstrate your skills and experience in data science, machine learning, and analytics.
  • Show enthusiasm and passion for data science, machine learning, and analytics.

Possible Interview Questions (10)

  1. What is your experience with data science, machine learning, and analytics?
  2. How do you stay current with new developments in data science, machine learning, and analytics?
  3. Can you give an example of a project you worked on that involved data science, machine learning, and analytics?
  4. How do you handle missing or incomplete data in a dataset?
  5. Can you explain the concept of overfitting in machine learning?
  6. How do you evaluate the performance of a machine learning model?
  7. Can you give an example of a time when you had to communicate complex data insights to a non-technical stakeholder?
  8. How do you approach data visualization?
  9. Can you explain the concept of regularization in machine learning?
  10. How do you handle imbalanced datasets in machine learning?

Salary Insights (India)

Industry range

The salary range for data science engineers in India is typically between ₹6 lakhs and ₹15 lakhs per annum.

Freshers

The salary range for freshers in data science is typically between ₹4 lakhs and ₹8 lakhs per annum.

Experienced

The salary range for experienced professionals in data science is typically between ₹10 lakhs and ₹20 lakhs per annum.

The salary for data science engineers in India is expected to grow by 15% to 20% per annum.

Career Path Roadmap

1
Data Scientist↓

A data scientist is a professional who collects, analyzes, and interprets complex data to gain insights and make informed business decisions.

2
Senior Data Scientist↓

A senior data scientist is a professional who leads a team of data scientists and is responsible for developing and implementing data science strategies.

3
Data Engineering Manager

A data engineering manager is a professional who is responsible for designing, building, and maintaining large-scale data systems.

Why This Opportunity Is Worth Considering

  • This role offers a paid stipend while training, which is a great opportunity for freshers to gain experience and build their skills.
  • The company is a leader in the field of data science and machine learning, which provides a great opportunity for professionals to work with cutting-edge technologies.
  • The role offers a chance to work with a team of experts in the field of data science and machine learning, which provides a great opportunity for professionals to learn and grow.

Things To Know Before Applying

  • The company is looking for freshers who are passionate about data science, machine learning, and analytics.
  • The role involves a 4-month training program, which is a great opportunity for freshers to gain experience and build their skills.
  • The company is a leader in the field of data science and machine learning, which provides a great opportunity for professionals to work with cutting-edge technologies.

Recommended Courses

Data Science Specialization
Coursera

This course provides a comprehensive introduction to data science, including data wrangling, data visualization, and machine learning.

Machine Learning
Stanford University

This course provides a comprehensive introduction to machine learning, including supervised and unsupervised learning, neural networks, and deep learning.

Analytics Essentials
edX

This course provides a comprehensive introduction to analytics, including data visualization, statistical analysis, and data mining.

Career Advice

To succeed in a data science role, it is essential to have a strong foundation in data science, machine learning, and analytics. It is also important to stay current with new developments in the field and to be able to communicate complex data insights to non-technical stakeholders.

Editorial Note: This role is a great opportunity for freshers who are passionate about data science, machine learning, and analytics. The company is a leader in the field of data science and machine learning, which provides a great opportunity for professionals to work with cutting-edge technologies.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The salary range for this role is typically between ₹4 lakhs and ₹8 lakhs per annum.
The training program is 4 months long.
The key skills required for this role are data science, machine learning, analytics, data visualization, statistical analysis, and data mining.

Similar Roles to Explore

Data AnalystBusiness AnalystData EngineerMachine Learning EngineerData Architect

Related Career Resources

Application trackerSkill learning pathsDaily coding practice
Send Resume
Career Comparison Hub

These opportunities share similar skills, eligibility criteria and career outcomes. Comparing related roles can help you choose the opportunity that best matches your goals, preparation level and preferred career path.

✓ Verified Similar Opportunities
Based on:✓ Skills✓ Eligibility✓ Location✓ Career Track

How These Roles Compare

•Data Scientist (Honeywell): Best for Freshers & Final Years in the Data Analytics track with Moderate application competition.
•Associate Data Engineer / Associate Data scientist (v4c): Best for Freshers & Final Years in the Data Analytics track with Moderate application competition.
•Advanced Data Science Associate (ZS): Best for Freshers & Final Years in the Data Analytics track with Moderate application competition.
Data ScienceAny

Data Scientist

Honeywell

Bangalore, KA, 560103, IN • Full-time • 0-1 Years
pythonrmachine learning
Why Similar?✓ Overlapping skill requirements✓ Open for freshers✓ Similar career pathway
Why we recommend: Excellent match if you know machine learning. Strong skillset overlap with the main role.
Best For:
Freshers & Final Years
Career Path:
Data Analytics
Competition: Moderate
View job descriptionCompare Role
Data Science2026

Associate Data Engineer / Associate Data scientist

v4c

PAN India • Full-time • Fresher
pythonsqldata engineering
Why Similar?✓ Overlapping skill requirements✓ Open for freshers✓ Similar career pathway
Why we recommend: Excellent match if you know data science. Strong skillset overlap with the main role.
Best For:
Freshers & Final Years
Career Path:
Data Analytics
Competition: Moderate
View job descriptionCompare Role
Data ScienceAny

Advanced Data Science Associate

ZS

Bengaluru, India; Gurgaon, India; Noida, India; Pune, India • Full-time • 1-2 Years
hypothesis testingmachine learningretrieval processes
Why Similar?✓ Overlapping skill requirements✓ Open for freshers✓ Similar career pathway
Why we recommend: Excellent match if you know machine learning. Strong skillset overlap with the main role.
Best For:
Freshers & Final Years
Career Path:
Data Analytics
Competition: Moderate
View job descriptionCompare Role
🤔

Not Sure Which Role To Choose?

Evaluate key parameters such as skills required, career growth opportunities, salary expectations, and competition levels before finalizing your targets.

💰 Salary Expectations🛠️ Skills Required📈 Growth Opportunities⚡ Competition Level

Related Preparation Resources

Reference Only

Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

About the job

Company: -

Colaberry has helped enterprise organizations turn data into measurable business outcomes. We operate at the intersection of technology execution and workforce transformation, delivering impact in three core areas: Specialized AI & Data Expertise We provide highly targeted contract professionals across machine learning, AI engineering, data architecture, advanced analytics, NLP, intelligent automation, software engineering, DevOps, and GIS. Our teams design, build, and operationalize production-grade AI systems inside complex enterprise environments. Agentic Automation & Intelligent Systems We develop AI-powered agents and automation solutions that streamline workflows, enhance decision-making, and improve operational performance.

Hiring Freshers - Data Science

Location: - Hyderabad

Experience: - 0 to 1 Year

Job description: -

Looking for enthusiastic & analytical freshers who are passionate about Data Science, Machine Learning & Analytics.

  • Paid stipend while training.

  • 4 months Training on Data Science

  • post completion based on the performance Full-time Job will be offered.

(2024, 2025 & 2026 pass outs) Freshers Only from Premium Institute.

Interested share your CV- jasmine@colaberry.com