Data science jobs that will be in demand in the future

Companies across industries have recognized the importance of leveraging data, which has led to increasing demand for data science professionals. Institutions also offer learning solutions to further train and qualify their workforce.

We live in a world dominated by big data, and it is estimated that the global data volume will reach 180 zettabytes by 2025. However, this rich data requires professionals who can transform it into actionable insights using advanced technologies. Therefore, the role of a data scientist is fundamental to support leadership teams in formulating strategies and plans. Equipped with knowledge of subjects such as statistics, mathematics and computer programming, data scientists harness the power of technology to gain insights from massive amounts of data.

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Companies around the world have realized that data is the greatest asset they have accumulated over the years. However, they are unable to exploit the full potential of this data. According to AIM Research, there were 137,870 data science jobs in India as of June 2021, representing a 47.1 percent increase in the demand for vacancies compared to June 2020. India contributed 9.4 percent of the total global analytics job openings, up from 7.2 percent in January 2020. Additionally, the report found " The Humans of Data Science " by staffing firm Michael Page India, that there will be around 11.5 million job openings in data science by 2026. According to LinkedIn's Emerging Jobs Report, data science is the fastest-growing field in the world, growing at over 650 percent since 2012 The market is expected to grow from $37.9 billion in 2019 to $230.80 billion in 2026.

Data helps companies assess the market and customer base, which has become an indispensable asset today. As companies increasingly realize the true potential of data scientists, jobs in this field are expected to skyrocket. The US Bureau of Labor Statistics has predicted that the increasing importance of data science will lead to the creation of approximately 11.5 million new jobs by 2026. These trends make it a good time to start a career in data science. We make a list of the most sought-after jobs that will continue to drive demand in the coming years.

Data Scientist

What is Data Science? - Source: images.squarespace-cdn.com

Starting from the traditional roles of statisticians, mathematicians, computer specialists and Data Scientist They have to collect, analyze and interpret large amounts of data. To do this, they use advanced technologies such as machine learning and predictive analytics. In large companies, data scientists typically work with a group of technology experts to analyze large amounts of data, which is then used by companies to predict customer behavior and create new revenue streams. To work as a data scientist, applicants must have a high level of efficiency in developing algorithms, mathematics, and statistics, and a certificate program in data science is considered beneficial.

Data Analyst

Data analysts use statistical tools and models to interpret large amounts of data and identify patterns that add value to companies when making forecasts and predictions. Data analysts are known as “storytellers” because they sift through vast amounts of data to identify common threads, patterns, and anomalies that are not visible to others. From interpreting trends using historical data to creating data-driven summary reports and developing data mining systems, the role of a data analyst is broad and includes collaboration with internal and external stakeholders.

Machine learning engineer

Machine learning and artificial intelligence are very important for data science. As companies realize the importance of using technologies like machine learning to anticipate customer needs, the demand for professionals will increase. Machine learning involves a mix of two roles, namely data scientists and software engineers. A machine learning engineer typically helps combine the complex analytical models created by data scientists with the skills of programmers who develop software systems. These two areas form a synergy that allows companies to realize the full potential of AI and ML. Machine learning engineers work closely with data scientists to ensure that the models used to interpret massive amounts of data in real time can actually produce the most accurate results.

Business Intelligence Developer

BI developers are essentially business engineers who help interpret and present data to key decision makers in a company. They help compile data and work to simplify valuable information for a company. A core function of their work is the creation and maintenance of software tools used to drive business strategies. Since BI developers also analyze complex databases, learners who want to pursue a career in this profession should have good data mining skills. In addition, knowledge of data warehouse design and Structured Query Language (SQL), a standardized programming language for updating and managing databases, is highly desirable.

statistician

Those: statistikjobs.de

The role of a statistician varies depending on the industry or type of company in which they are employed. However, they usually work for companies to collect and interpret large amounts of data. Using the data, statisticians help highlight current and emerging trends and even discover errors or inconsistencies that can be addressed by management. Statisticians can also provide advice and make suggestions on corporate strategy. Therefore, to be successful as a statistician, professionals must have effective communication, technical, analytical and leadership skills.

Data science encompasses a mix of theoretical and practical skills and is very important for diversified companies. As India aims to become a global hub for manufacturing, artificial intelligence and related technologies, data science professionals will play a pivotal role in helping companies generate actionable insights. To impart appropriate skills to learners, Times Professional Learning (TPL) has introduced programs such as DATA JEDI. It offers a comprehensive range of training in the areas Data Science , AI, ML, Deep Learning and Business Intelligence to train highly skilled professionals in India for the future. If you are interested in statistics, we recommend this ETH Zurich .