Unconventional Paths to Landing Lucrative Data Science Jobs

Data Science Jobs

The latest developments and trends in the field of big data technologies, focuses on gathering and analysing data for decision-making, and an increased dependence on machine learning (ML) are propelling the global market for Data Science platforms. As technology progresses and data becomes more available, the future prospects of the data science field appear promising. 

According to the Analytics Insight report, by mid-2025, India will experience a massive employment growth in the realm of data science. It is predicted that there would be around 1,37,630 data science jobs in India at that time. In the first half of 2021, the Indian job market saw a surge in demand for data scientists. Data science jobs for freshers in this industry can be extremely rewarding, which can provide an intellectually challenging and stimulating environment.

So, with a focus on providing applicants with an integrated learning experience, Imarticus Learning, the leading professional education provider for new-age leaders, is offering a postgraduate program in Data Science and Data Analytics. With its distinctive career support services, it continues to assist students as they take a new approach towards data science jobs. You may have access to over 500 elite placement partners and uncover numerous possibilities for yourself.

What are the Latest Trends in Data Science?

Professionals in this sector must remain up to date on the newest trends because it is an ever-changing field. Some of the prominent trends are:

  • Automated Machine Learning tools 
  • Artificial Intelligence (AI) and Machine Learning (ML) integration
  • Natural Language Processing or NLP
  • Explainable AI and interpretability
  • Ethical considerations in data science
  • IoT analytics and edge computing 
  • Cloud-based data science platforms
  • Big data processing and analytics

Most Aspiring and Lucrative Jobs in the Data Science Domain

To find the right job, you must target your job title and check the job descriptions before applying, so that the job profile aligns with your goals. Here is an assorted list of the most qualified job profiles in the Data Science field:

  • Data Analyst 
  • Data Scientist
  • ML Engineer
  • ML Scientist
  • Data Engineer
  • AI Engineer
  • Marketing Data Analyst
  • Quantitative Analyst
  • Database Manager
  • Database Administrator
  • Data Architect
  • Data Warehouse Manager
  • Database Developers
  • Applications Architect
  • Infrastructure Architect
  • Enterprise Architect 
  • Statistician
  • Business Intelligence Analyst

Data Science Course

Strategy to Secure a Job in Data Science

Ensuring a secure position in data science requires an excellent foundation of education, skill development, and hands-on experience. Here are a few ways to get started:

  • Getting a degree in respective discipline such as data science, statistics or computer science.
  • Learning the concepts of statistics, maths machine learning, coding, databases and big data in depth. 
  • Acquiring proficiency in important programming languages such as Python and R.
  • Practising data analysis and visualisation using tools such as Excel, SQL and Tableau.
  • Creating a portfolio of data science projects to demonstrate the expertise.
  • Pursuing certifications or advanced degrees to enhance the knowledge and credibility in the field.
  • Staying updated with fast-paced industry trends and continuously learning new techniques.
  • Engaging with the community and meeting fellow data scientists.

Final Words

A data science and analytics course will not only teach participants the skills they need to become modern-day data analysts, but it will also help land data science jobs for freshers as a Data Scientist, Data Engineer, Business Analyst, Machine Learning Engineer, Tableau Developer, Business Intelligence Specialist and other positions.

This six-month Data Science course from Imarticus offers an innovative educational curriculum that covers both fundamental and advanced Data Science and Analytics disciplines. Aspirants may learn how to use the practical applications of Data Science, Data Analytics, Power BI, Python, SQL and Tableau while developing competence in these areas.

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