Top 10 Data Science Jobs for Freshers in 2022

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Last updated on
30th Nov, 2022
17th May, 2022
Top 10 Data Science Jobs for Freshers in 2022

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Entering the field of data science can be extremely rewarding and beneficial to your career due to its tremendous future advancement opportunities.  
Data Scientists collect, analyze, and interpret large amounts of data. The Data Scientist job description is a culmination of the work of a mathematician, scientist, statistician, and computer professional. By using advanced analytical tools, a data scientist interprets data and presents it in the form of meaningful information.

A data scientist’s job description focuses on the following –

  • Automating the collection process and identifying the valuable data
  • Collection of large amounts of raw data, facts, and figures and converting them into a usable format
  • Use of data-driven techniques to solve business-related issues and problems
  • Look out for upgrades on analytical techniques
  • Act as a communication link between the business development and engineering team
  • Firm understanding of statistical tests and distribution

The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more. A Python with Data Science course is a great career investment and will pay off great rewards in the future.

Top 10 Data Science Jobs for Freshers in 2022 

As a fresher, you're probably curious about the various data science career options. Well, you are at the right place. This section will help you know the top 10 Data Scientist jobs for freshers.

1. Machine Learning Engineers 

Machine learning engineers are technically skilled programmers whose job is to research, develop, and design self-running software for automating prediction models. As a result, each time the program conducts an operation, it learns from the outcomes in order to perform operations even more accurately in the future. This is one of the highest-paying occupations in today's world.

Roles and Responsibilities

  • Design machine learning (ML) systems
  • Select the most appropriate data representation methods
  • Research and implement machine learning tools and algorithms
  • Choose data sets

Average Salary: USD 127,303 / INR 7,31,169 per annum

2. Data Scientists

A data scientist’s role is to collect, analyze, and interpret massive amounts of data. Mathematicians, statisticians, scientists, and computer experts are all included in typical technical roles. Furthermore, this is an excellent career option for those who have an interest in data analysis.

Roles and Responsibilities

  • Finding data sources and automating the data collection process
  • Discovering patterns and trends by analyzing information
  • Performing data pre-processing on both structured and unstructured data
  • Creating predictive models and machine-learning algorithms

Average Salary: USD 81,361 (1-3 years) / INR 10,00,000 per annum

3. Business Intelligence Professionals 

A Business Intelligence professional’s role is to analyze complex databases to understand current market trends and how they affect company decisions. BI developers must use cloud-based platforms to design, prototype, and manage complex data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL.  

Roles and Responsibilities

  • Write data collection and processing procedures
  • Ensure collecting, storage, and analysis of data is accurate
  • Report data findings to management
  • Monitor data collection

Average Salary:  USD 68,500 / INR 1,560,000 per annum

4. Data Analyst

Data analysts’ job is to create and maintain data systems and databases. Apart from this, they fix any coding errors. Statistical tools are used to interpret data by the data analyst. Patterns and trends are given particular attention as they can be beneficial for predictive and diagnostic analytics. Analytical and leadership skills are a must for data analysts. There is a huge opportunity for freshers with an undergraduate or master's degree in computer modeling, analytics, science, or mathematics to get a job in this field. Check out the complete data analyst learning path.

Roles and Responsibilities

Here are the responsibilities for the data analytics job for freshers & experienced individuals.

  • Use statistical approaches to analyze data and generate reports
  • Create and deploy data collection systems
  • Gather data and maintain data systems
  • Find, analyze, and interpret trends as well as patterns in complex data sets

Average Salary:  USD 69,869 / INR 455,970 per annum

5. Data Warehousing Professionals

Within the framework of a project, data warehousing specialists are responsible for developing data management processes across a company. Furthermore, they construct software applications and computer programs for accomplishing data storage and management

Roles and Responsibilities

  • Develop, design, and create data models
  • Create plans for ETL methods and architectures
  • Verify the results and generate business reports
  • Monitor data loading and queries

Average Salary:  USD 111,347 / INR 5,00,730 per annum

6. Data Architects

The data architect's job is to create blueprints for data management systems. They evaluate a company's potential data sources and devise a strategy to integrate, safeguard, centralize, and maintain them, allowing employees to access vital information at the right time and in the right place.

Roles and Responsibilities

  • Provide a framework for accurately replicating a company's big data requirements using data
  • Align a company's IT assets with its business objectives

Average Salary:  USD 121,000 / INR 20,41,159 per annum

7. Business Analysts

Business analysts play a strategic role in identifying problems and suggesting solutions based on the facts found by a data analyst. In the field of data science, this is one of the most in-demand jobs.  One must obtain a bachelor's degree in a field such as business administration, finance, or economics.

Roles and Responsibilities

  • Create a detailed business analysis that outlines solutions to a company's problems
  • Forecasting and budgeting
  • Analysis of variance
  • Make a plan and monitor

Average Salary:  USD 74,461 / INR 6,90,000 per annum

8. Database Administrators

Database administrators are responsible for managing, maintaining, and securing data in one or more data systems so that users can do analysis for business purposes. From a technological standpoint, they handle data storage, presentation, data management, and utilization, as well as analysis.

Roles and Responsibilities

  • Use database software to find new ways to store, organize, and manage data
  • Debugging; keeping databases up to date
  • Assisting with database design and development

Average Salary:  USD 97,400 / INR 5,05,780 per annum

9. Game AI Developers

AI Developers work with Gameplay and physics programmers closely. They report to lead designers and work with gameplay designers to develop the game's neural networks and decision trees. They also work along with QA technicians to resolve issues that arise during testing.

Roles and Responsibilities

  • Set patterns for the game's rules
  • Create a framework for non-playable characters' artificial emotions and ideas
  • Research and design the AI elements that will enhance the game

Average Salary:  USD 71,295 / INR 2,92,035 per annum

10. Statisticians 

Statisticians collect, analyze, and evaluate data in order to find trends and relationships that can be utilized to make business decisions. Regular responsibilities of a statistician include data collecting process design, stakeholder communication, and organizational strategy advising. This job is demanded in both the private as well as public sectors as it combines statistical skills with expertise in other subjects.

Also read - Role of Statistics in Data Science

Roles and Responsibilities

  • Gather, analyze, and interpret data
  • Recognize patterns and relationships in data
  • Design data collection process
  • Inform stakeholders about the findings

Average Salary: USD 92,270 / INR 5,50,000 per annum

Dive deep into the Promising World of Data Science 

Anyone from diverse backgrounds such as engineering, marketing, data science, and IT professionals can apply for these highest-paying job roles in data science. A great way to learn data science online is with the KnowledgeHut Python with Data Science program. There are many opportunities in the data science field. No matter what, technology keeps advancing along with the field. Data analytics is growing fast, and to keep up with the pace, you need to train your skills. Keep tricks and tips handy. These really help along with the complex procedures and processes. Entry-level jobs will be hard but worth it once you get them. If you have prepared yourself and made your potential in power, you have a long way to go! Keep along with the trends and start today.

Wish you all the best for your future!!!

Frequently Asked Questions (FAQs) 

1. How do I prepare for a Data Science job? 

Follow these 5 steps for Data Science job preparation

  • Investigate the position to see whether you are a good fit
  • Discover what the interviewer is searching for
  • Be truthful about your technical knowledge and software experience
  • Inquire about the team with which you will be working
  • Be ready to talk about money

2. Do data scientists have coding interviews? 

If you're familiar with data science, you're probably aware that it's primarily built on SQL, Python, and R. Even if you don't use these languages as much as, say, backend engineers, data science coding interview questions place a strong emphasis on computer science fundamentals like data structures and algorithms. Hiring managers may ask you coding questions because data science is a highly technical field that necessitates data collection, cleansing, and processing to ensure it is useable. To be effective in this profession, you should have a basic understanding of programming and coding.

3. What attracts you to a career in Data Science?

Data science is globally acknowledged and one of the most demanding career choices in the world today. The following features attract budding professionals

  • Growing demand
  • Unbeaten salaries
  • Business values and asset additions
  • Evolving field
  • Vast career opportunities

4. Is Data Science a good career choice? 

Yes, data science is a great career with lots of room for progress in the future. Already, demand is great, salaries are competitive, and benefits are plentiful – which is why LinkedIn has named Data Scientist "the most promising career" and Glassdoor has named Data Scientist the "best job in America." Businesses across industries have recognized the value of data, resulting in an increase in the demand for data science personnel.

5. Why have a career in Data Science?

Data Science adds meaning to raw data and transforms it into valuable insights that can be used to expand the business and identify industry trends. Data Science has become a lucrative career due to a limited supply of specialized Data Scientists and a high demand. Mathematicians, trend-spotters, and computer scientists are all combined to form data scientists. The data scientist's role is to decode massive amounts of data and perform additional analysis to uncover trends and obtain a better understanding of what it all means. Hence it has an increased demand in the industry.


Mounika Narang


Mounika Narang is a project manager having a specialisation in IT project management and Instructional Design. She has an experience of 10 years 
working with Fortune 500 companies to solve their most important development challenges. She lives in Bangalore with her family.