What Are the Entry Level Roles in Data Science
Entry-level roles in data science include Data Analyst, Junior Data Scientist, Machine Learning Engineer, and Business Analyst, providing a strong foundation in data exploration, modeling, and decision-making.
Prerana B A
The demand for data science professionals is soaring as businesses rely on data-driven insights to make strategic decisions. According to the U.S. Bureau of Labor Statistics, the demand for data science jobs is expected to grow by 36% by 2031, significantly faster than other fields. This surge in opportunities makes it an exciting time to start a career in data science.
However, many aspiring data scientists wonder: What are the best entry-level roles in data science? If you're considering a data science course in Chennai or searching for a data science training institute in Hyderabad, understanding the different job roles will help you decide which path aligns with your skills and career aspirations.
This blog will explore the essential skills needed for entry-level data science jobs, top job roles, salary expectations, and how to land your first job in this rapidly evolving industry.
Why Choose a Career in Data Science?
Data science offers outstanding growth prospects, with the global market expected to grow from $37.9 billion in 2019 to $140.9 billion by 2026, at a 30.0% CAGR, according to Markets and Markets. This growth reflects the increasing reliance on data analytics, machine learning, and AI across industries like healthcare, finance, and technology, making data science a crucial skill for businesses.
The career outlook is equally promising, with the U.S. Bureau of Labor Statistics projecting a 35% growth in data science jobs from 2021 to 2031. Data scientists in the U.S. earn a median salary of about $100,000, according to Glassdoor. With high demand for data science, excellent salaries, and diverse opportunities, data science is a top choice for those seeking a rewarding and impactful career.
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What is an Entry-Level Data Science Job?
An entry-level data science job is a position that requires foundational knowledge of data analysis, machine learning, and programming but does not demand extensive industry experience. These roles focus on:
- Collecting, cleaning, and analyzing data
- Building basic predictive models
- Assisting in data visualization and reporting
- Supporting senior data scientists and analysts
Companies hiring for entry-level roles typically look for candidates with knowledge of Python, SQL, statistics, and machine learning basics. Completing a data science course in Chennai with placements can improve your chances of landing such roles.
Essential Skills to Secure an Entry-Level Data Science Role
To kickstart a career in data science, you need a combination of technical and soft skills. Here are the essential skills needed to become a data scientist:
Technical Skills:
- Programming Languages: Proficiency in Python and R is essential.
- Data Manipulation & Analysis: SQL, Pandas, and NumPy help in handling data.
- Machine Learning Basics: Understanding algorithms like linear regression and decision trees.
- Data Visualization: Knowledge of tools like Tableau, Power BI, and Matplotlib.
- Statistics & Probability: Helps in hypothesis testing and predictive modeling.
Soft Skills:
- Problem-Solving: Ability to derive insights from complex datasets.
- Communication: Presenting data-driven insights to non-technical stakeholders.
- Attention to Detail: Ensuring data accuracy and reliability.
Enrolling in a data science training institute in Chennai can help you build these skills through hands-on projects and real-world case studies.
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- Data Science Career Scope in India
- What would be the Data Science Course Fee in India
Top 7 Entry-Level Data Science Job Roles for Career Growth
There are multiple paths to begin your data science career. Below are the top 7 entry-level data science roles and responsibilities, salary insights, and eligibility criteria.
1. Data Scientist Job Role:
Job Responsibilities for Data Science role:
A data scientist analyzes complex datasets to extract insights and drive business decisions. They build predictive models, develop machine learning algorithms, and work with statistical techniques to solve real-world problems. They also communicate findings to stakeholders through visualizations and reports.
Data Scientist Salary:
According to AmbitionBox reports, Data Scientist Salary in India ranges between ₹4 Lakhs to ₹34 Lakhs with an average annual salary of ₹15 Lakhs.
Eligibility Criteria for Data Science:
A degree in Computer Science, Data Science, Mathematics, or a related field is preferred. Proficiency in Python, R, SQL, machine learning frameworks (TensorFlow, Scikit-learn), and strong analytical skills are essential.
2. Data Analyst Job Role
Job Responsibilities for Data Analyst role:
A data analyst focuses on collecting, cleaning, and analyzing data to identify trends and provide business insights. They create dashboards, generate reports, and use statistical techniques to support decision-making.
Data Analyst Salary:
According to AmbitionBox reports, Data Analyst Salary in India ranges between ₹3 Lakh to ₹20 Lakhs with an average annual salary of ₹7 Lakhs, with higher earnings in tech companies and finance.
Eligibility Criteria for Data Analyst:
A degree in Statistics, Mathematics, Computer Science, or Business is beneficial. Strong skills in SQL, Excel, Python, or R, along with data visualization tools like Tableau or Power BI, are required.
3. Data Engineer Job Role
Job Responsibilities for Data Engineer Role:
Data engineers design, build, and maintain data pipelines and architectures. They ensure data is efficiently collected, stored, and processed for analysis. Their work supports data scientists and analysts by providing clean and accessible data.
Data Engineer Salary:
According to GlassDoor reports, Data Engineer Salary in India ranges between ₹6 Lakhs to ₹30 Lakhs with an average annual salary of ₹11 Lakhs, with experienced engineers earning significantly more.
Eligibility Criteria for Data Engineer:
A background in Computer Science, IT, or Software Engineering is preferred. Knowledge of SQL, Python, Spark, Hadoop, AWS, or Google Cloud is essential.
4. Business Analyst Job Role
Job Responsibilities for Business Analyst Role:
Business analysts bridge the gap between data science and business strategy. They assess business needs, analyze data trends, and provide recommendations to improve operations and profitability.
Business Analyst Salary:
According to GlassDoor reports, Business Analyst Salary in India ranges between ₹5 Lakhs to ₹24 Lakhs with an average annual salary of ₹10 Lakhs, with experienced engineers earning significantly more
Eligibility Criteria for Business Analyst:
A degree in Business, Finance, or Data Analytics is beneficial. Strong analytical and communication skills, as well as expertise in Excel, SQL, and visualization tools, are necessary.
5. Machine Learning Engineer Job Role
Job Responsibilities for Machine Learning Engineer Role:
Machine learning engineers develop, deploy, and optimize AI models. They work with large datasets, train models, and integrate machine learning solutions into applications.
Machine Learning Engineer Salary:
According to GlassDoor reports, Machine Learning Engineer Salary in India ranges between ₹5 Lakhs to ₹28 Lakhs with an average annual salary of ₹16 Lakhs, with top companies offering even higher salaries.
Eligibility Criteria for Machine Learning Engineer:
A degree in Computer Science, AI, or a related field is preferred. Proficiency in Python, TensorFlow, PyTorch, deep learning, and cloud computing is essential.
6. Business Intelligence (BI) Analyst Job Role
Job Responsibilities for Business Intelligence (BI) Analyst Role:
BI analysts use data to generate business insights and reports. They develop dashboards, track KPIs, and help organizations make data-driven decisions.
Business Intelligence (BI) Analyst Salary:
According to GlassDoor reports, Business Intelligence Analyst Salary in India ranges between ₹5 Lakhs to ₹21 Lakhs with an average annual salary of ₹17 Lakhs, with top companies offering even higher salaries.
Eligibility Criteria for Business Intelligence (BI) Analyst:
A background in Business, Data Analytics, or IT is helpful. Expertise in SQL, Tableau, Power BI, and Excel is required.
7. Risk Management Analyst Job Role
Job Responsibilities for Risk Management Analyst role:
Risk analysts assess financial and operational risks within an organization. They use data models to predict and mitigate potential risks.
Risk Management Analyst Salary:
According to AmbitionBox reports, Risk Management Analyst Salary in India ranges between ₹4 Lakhs to ₹23 Lakhs with an average annual salary of ₹10 Lakhs, with higher pay in banking and insurance.
Eligibility Criteria for Risk Management Analyst:
A degree in Finance, Economics, Statistics, or Data Science is preferred. Strong skills in statistical modeling, Python, R, and risk analysis tools are essential.
Each of these roles offers a strong career path with lucrative salaries and growth potential. The best role for you depends on your skills and interests—whether it's analytics, machine learning, business intelligence, or engineering. If you’re starting out, focus on building programming skills, data analysis expertise, and domain knowledge to break into your desired field.
How to Get Hired for an Entry-Level Data Science Job?
Getting hired for an entry-level data science job can be competitive, but with the right approach, you can stand out. Here’s a structured guide to help you:
1. Enroll in a Data Science Course
Taking a offline data science course in Chennai is one of the best ways to gain practical skills. Many data science training institutes in Hyderabad offer certifications that enhance your resume.
2. Work on Real-World Projects
Hands-on projects help demonstrate your skills. Platforms like Kaggle and GitHub can showcase your expertise.
3. Build a Strong Portfolio
Create a portfolio with projects related to data analysis, machine learning, and visualization.
4. Apply for Internships
Internships provide industry exposure and increase job prospects.
5. Network with Industry Professionals
Join LinkedIn groups, attend webinars, and participate in data science meetups.
6. Prepare for Technical Interviews
Practice coding problems and data science case studies to crack interviews.
Embarking on a career in data science opens the door to countless opportunities. Entry-level positions such as Data Scientist, Data Analyst, and Machine Learning Engineer lay a strong foundation for long-term career growth.
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Enrolling in a data science course with placement opportunities from a renowned institute can greatly improve your career prospects. By developing key skills, gaining hands-on experience through real-world projects, and expanding your professional network, you'll be well-positioned to land a promising role in this rapidly growing field.
If you're eager to kickstart your journey, consider exploring data science training in Hyderabad, Bangalore, Pune, Chennai, Ahmedabad, Coimbatore, Mumbai, Kolkata and Delhi along with flexible online training for learners worldwide. Choosing a well-established institute with comprehensive courses, hands-on experience, placement support, and internships can give you the competitive edge needed to excel in the world of data science.
For aspiring data professionals looking to break into the field, choosing the right training institute can make a significant difference. DataMites, recognized among the Top 20 AI Institutes in India by Analytics India Magazine (AIM), stands as a leading data science training institute alongside prestigious institutions like IIT and IIM. Its commitment to excellence ensures top-tier education in data science, machine learning, artificial intelligence, and data analytics.
At DataMites Training Institute, learners gain access to industry-accredited programs covering Certified Data Scientist courses, Python Development, and more, with certifications from IABAC and NASSCOM FutureSkills. The institute also provides placement assistance and internship opportunities, helping students gain hands-on experience essential for launching their data science career.
For those looking for offline data science courses, DataMites offers offline Data Science training in Chennai, Pune, Bangalore, Hyderabad, Ahmedabad, Coimbatore, and Mumbai, while also catering to a global audience through flexible online programs. Whether you're a fresher or a working professional transitioning into data science, DataMites ensures a career-focused learning experience with industry-aligned skills.
With high demand, competitive salaries, and job security, data science is an excellent career choice. If you're ready to step into this thriving field, investing in data science training is the perfect way to start!
