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“Are there data science jobs for freshers?”
We often hear this question from students who aspire to take up a specialization in Data Science.
In this beginner’s guide, we’ll explore the job opportunities available for freshers in data science, what the jobs involve, what skills you need and what you can expect from a career in data science. We’ll list down names of the companies in India that are proactively hiring data science talent. And, we’ll also offer some helpful tips to land a good job if you are a fresher in data science.
For this guide, we’ve used the Q&A format to answer all the questions that you may have about the scope of data science.
1. What is Data Science?
Data Science is one of the hottest fields for aspiring young minds, currently. It deals with the collection, processing, analysis, and interpretation of data to solve complex problems. With the exponential growth of data, the demand for skilled data scientists has increased tremendously.
2. What’s the scope of Data Science in India?
Industry reports suggest that the demand of data scientists is at an all-time high in India. According to Analytics Insights, India is expected to generate a whopping $20 billion by 2026 by commanding 32% of the big data market. Analysts also predict that by 2026, there will be around 11 million job openings in the Indian data science industry.
3. What jobs are available for Data Science freshers?
Data Science is a highly sought-after field, and every day new job opportunities are being created for freshers. In this section, we’ll explore some of the most popular data science jobs for freshers and the other senior profiles they can move into as they progress in their careers.
Data Analyst
Data Analyst is the most popular entry-level job profile in the field of Data Science. It involves collecting, processing, and performing statistical analyses on large datasets to extract insights that can help businesses make informed decisions. The job responsibilities of a Data Analyst include data cleaning, data visualization, report generation, and making recommendations to stakeholders.
To become a data analyst, you need to have the requisite knowledge of statistical software, such as R, Python, and SQL. You also need to have a good understanding of data analysis techniques and business acumen. Data analysts typically require a Bachelor’s degree in a relevant field such as Computer Science, Mathematics or Statistics. In India, the average salary for a Data Analyst in India is around 4-5 lakhs per annum.
Business Intelligence Analyst
Business intelligence analysts are responsible for analysing large sets of data to provide insights that help businesses make informed decisions. They work with various stakeholders in an organisation to provide insights and recommendations based on their analysis. The job requires strong analytical skills, expertise in data analysis tools such as SQL, Python, and R, and the ability to communicate insights effectively to non-technical stakeholders.
As a fresher, you can start your career as a Business Intelligence Analyst in various industries such as retail, finance, healthcare, and e-commerce.. The average salary for a Business Intelligence Analyst in India is around 6-7 lakhs per annum.
Data Visualization Specialist
Data visualisation specialists are responsible for creating compelling visualisations of large sets of data to help stakeholders make informed decisions. They work with various stakeholders in an organisation to design and build dashboards and visualisations that provide insights into complex data sets. The job requires expertise in data visualisation tools such as Tableau, Power BI, and D3.js.
As a data science fresher, you can start your career as a data visualisation specialist in industries such as e-commerce, finance, healthcare, and consulting. The average salary for a Data Visualization Specialist is 10-12 lakhs per annum.
Data Scientist
Data scientists are in great demand. A data scientist’s role involves working with large datasets, developing predictive models, and providing insights that can help businesses make informed decisions. The job responsibilities of a data scientist include data cleaning, exploratory data analysis, feature engineering, model selection, and evaluation.
Data Scientists need to have a strong foundation in statistics, programming, and mathematics. To become a Data Scientist, you will typically require a Master’s or PhD degree in a relevant field such as Mathematics, Statistics, or Computer Science (b tech cse data science). If you are a data science fresher and want to take the path to becoming a Data Scientist, you need to consider doing a Master’s degree and then move on to doing your PhD. In addition, you also need to have a good understanding of machine learning techniques, data visualisation, and business acumen.The average salary for a Data Engineer in India is around 6-15 lakhs per annum.
Big Data Engineer
Big data engineers are responsible for designing and building big data infrastructure that can support the storage and analysis of large volumes of data. They work with big data technologies such as Hadoop, Spark, and NoSQL databases. A fresher aspiring to become a big data engineer must have a strong foundation in programming and data structures. Knowledge of big data technologies and distributed systems is essential for a big data engineer. A big data engineer works with data scientists and analysts to create databases, data pipelines, and other systems that enable the efficient processing of big data.
Taking up a position as a big data engineer is an excellent option for data science freshers. Do keep in mind that it requires a sound understanding of big data technologies such as Hadoop and Spark. The average salary for a Big Data Engineer is 10-15 lakhs per annum.
Data Engineer
A data engineer is responsible for designing and building data infrastructure that can support the storage and analysis of large datasets. They work with data scientists and analysts to create databases, data pipelines, and other systems that enable the efficient processing of data. The role of a data engineer is an excellent option for freshers who have strong programming skills and a deep understanding of data infrastructure. You may work with senior data engineers and learn about various data storage and processing technologies. The job requires expertise in data modelling, database design, and programming languages such as Python, Scala, and Java.
To become a Data Engineer, you will need a degree in Computer Science or a related field. As a data science fresher, you can start your career as a Data Engineer in industries such as e-commerce, finance, healthcare, and consulting. The average salary for a Data Engineer in India is around 15-20 lakhs per annum.
Machine Learning Engineer
Machine Learning engineers are responsible for developing algorithms and models that can learn from data and make predictions or decisions to solve complex business problems. They work on projects such as predicting customer behavior, fraud detection, and so on.
The job involves working with large datasets, developing and testing algorithms, and deploying models in production. The role requires a deep understanding of machine learning techniques, programming languages like Python, Java, and C++. To become a Machine Learning Engineer, you need to have a degree in Computer Science or a related field and experience in machine learning and software development.
A data science fresher looking to become an ML engineer must have a good understanding of ML algorithms, data structures, and programming languages like Python or R. The position of an ML engineer is a challenging and rewarding one for freshers who are passionate about machine learning and have strong programming skills. The average salary for a Data Engineer in India is around 20-25 lakhs per annum.
Data Architect
A data architect is responsible for designing and managing an organization’s data architecture, including data models, data integration, data storage, and data governance. They work closely with data scientists, engineers, and analysts to ensure that data is accurate, accessible, and secure. There is a sudden surge in the demand for data architects today.
As a data architect, one must have strong technical skills in data modelling, database design, and data warehousing. Additionally, they need to possess excellent communication and leadership skills to collaborate with cross-functional teams and effectively communicate complex technical information to non-technical stakeholders.If you are a data science fresher who wants to progress into a Data Architect, you will need to have experience in data engineering or data science and in a data science solution delivery role. The average salary for a Data Engineer in India is around 20-25 lakhs per annum.
4. Which companies in India are hiring Data Science talent?
Data Science is emerging as one of the most popular career options for freshers with a background in Computer Science, Mathematics & Statistics. India is expected to create 11 million jobs by 2026 in the field of Data Science. From e-commerce, tech companies to financial services, from pharmaceuticals to automobiles, a lot of companies in India have been proactively hiring ai and data science engineering freshers and experienced people. Here’s a list of those companies that you must keep a tab on if you are a Data Science fresher:
5. What skills do you need to succeed in a Data Science career?
Whether you are starting out as a data science fresher or want to become a seasoned professional, a career in data science requires you to have a combination of technical, analytical and business skills. Here are some essential skills required for data science jobs.
Let’s look at the hard (professional) skills first:
A data science professional, whether a fresher or an experienced person, also needs soft (human) skills too such as:
6. What should a Data Science fresher look for in a Job?
Many companies are looking for fresh data science talent to fill their vacancies. However, as a data science fresher, you must look for specific things in a job that will help you to succeed and grow in your career. Here’s a list of important things to consider:
7. How do interested freshers land a job in Data Science?
Although there is an increasing demand for data science freshers, not all freshers make end up getting an offer letter. Companies are looking to invest in people who stand out. Here are some tips you could follow to land that perfect job in data science:
Summing it Up
The industry is beginning to offer a world of opportunities to data science freshers. With data acquiring strategic importance in large, medium and small businesses, careers in data science are only going to get bigger. Organizations are looking to fill the ranks right from the entry level to the top level. If you aspire to become a sought-after data science talent, you need to acquire the right technical skills, sharpen your soft skills, build your portfolio and keep a tab on companies hiring data science talent.
We hope you found this blog helpful.
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