Data Scientist Job Opportunities, Salary Package and Course Fee in Sri Lanka

Data is becoming increasingly crucial in our daily lives. Everything we do, from our healthcare to our pleasure, is influenced by data generated by millions of people around the world. The data industry is expanding as we continue to generate data in increasing numbers and on a wider scale.

Given the magnitude of the data industry, it’s no wonder that it’s a fast-growing industry. Study reveals that the global big data and business analytics market was worth $168.8 billion in 2018. By 2022, this value is foreseen to rise to upto $274.3 billion, or a 13.2 per cent increase.

Data science focuses on analysing data for insights and then making judgments and predictions using algorithms and machine learning.

Data science, being a young field, has a lot of potentials to grow into something bigger. In more ways than one, recent discoveries and developments have set it apart from other prominent professions.

As reported by IDC, worldwide data would hit 175 zettabytes by 2025. Companies utilize data science to swiftly gauge insane amounts of data from countless sources and obtain cardinal insights to make better data-driven decisions. Data science is well rooted in diverse industries across the globe, including marketing, healthcare, finance, banking, policy work, and more. That sheds light on the magnitude of Data Science.

Responsibilities

• Create, maintain, and improve machine learning and other data models.
• Existing data models should be chosen, used, and debugged.
• Conduct statistics and data analysis, which are frequently used to make decisions regarding products or target audiences.
• Meet with and interview experts as part of your research to learn more about the field and increase model accuracy.
• Collaborate in groups to assess project needs and complete tasks.

Business process outsourcing, knowledge process outsourcing, software development, IT services, and IT education are all examples of information technology in Sri Lanka. Software development and IT education and training are two areas of information technology where Sri Lanka has a lot of promise.

Sri Lanka has developed a reputation for creating software solutions and offshore services thanks to its high-quality talent pool.

Finance and Accounting, Legal, Insurance, Banking, and Telecommunications are all connected fields. ICT is a pillar of the economy with high expectations for revenue growth and job development.

The formal administrative capital of Sri Lanka, Sri Jayawardenepura Kotte, is also known as ‘Kotte.’

Job Opportunities in Sri Lanka

In the approaching years, Data Scientists will be in higher demand. Companies are increasingly relying on technology to gather information and make predictions from massive amounts of data. This has cemented data science’s presence and exponential growth as a superior employment option for both newcomers and seasoned experts. Data scientists are in high demand in practically every sector of the economy, but their availability does not match the need. A career in data science can be extremely rewarding, as you will be able to choose from a variety of job titles to suit your preferences!

• Data Analyst
• Data Scientist
• Data Engineer
• Machine Learning Engineer
• Machine Learning Scientist
• Applications Architect
• Data Architect
• Enterprise Architect
• Infrastructure Architect
• Business Intelligence Manager
• Statistician

IBM had reported that 2.7 million positions would be opened in data science, data analysis and other related fields!

Data Science Fees in Sri Lanka

The Online Data Science Course Fee at DataMites is LKR 380,540 however, with the discount, our Data Science Training in Sri Lanka is only LKR 233,678.

Data Scientist Salary in Sri Lanka

Glassdoor:

The national average salary for data scientists in Sri Lanka is LKR 2,00,00 per month.

• In Sri Lanka, the highest monthly income for a Data Scientist is LKR 2,91,000.
• In Sri Lanka, the lowest salary for a Data Scientist is LKR 1,00,000 per month.

Payscale:

Accorrding to Paypal, the average Data Scientist salary is LKR 447553.85 per annum.

Colombo is a major Indian Ocean port located on the island’s west coast, just south of the Kelani River. It is home to one of the world’s largest artificial harbours, which handles the majority of Sri Lanka’s international trade. Since years, the IT industry has experienced significant expansion.

Data Scientist Salary in Colombo

• In Colombo, the capital of Sri Lanka, the average monthly income for a Data Scientist is LKR 2,00,000.
• The highest monthly income for a Data Scientist in Colombo is LKR 2,94,000 per month.
• In the Colombo, the lowest wage for a Data Scientist is LKR 1,00,000 per month.

Who is eligible to participate in Data Science?

Anyone interested in learning Data Science, whether a newbie or a seasoned practitioner, can enrol. Basic high school level understanding of mathematics, economics, statistics and computer science are the minimal need for conventional Data Science courses.

But, where should I begin?

DataMites’ Data Science Courses in Sri Lanka could help you get rolling in data science.

DataMites provides specialised training in fields including Data Science, Machine Learning, Deep Learning, AI, IoT, and Python Learning. DataMites has received global recognition from the International Association of Business Analytics Certification (IABAC).

DataMites provide encyclopaedic training from industry experts to help you become a world-class expert in the topics that matter the most. Without a question, investing in DataMites training is the best move you can make.

We provide Data Science Online Training in Sri Lanka that includes a wide range of courses for everyone from beginners to seasoned professionals and managers!

If you are a fresher you can get going in your Data Science Career through Data Science Foundation, Certified Data Scientist or Diploma in Data Science Training.

For senior managers and businesses owners, Datamites provides courses such as; Data Science for Managers, Certified Data Scientist Marketing Course, Certified Data Scientist HR Course and Certified Data Scientist Finance Course.

Professionals who intend to upskill their professional aptness can apply for; Statistics for Data Science, Data Science with R Programming Course, Python for Data Science. Data Science Associate, Certified Data Scientist Operations and Data Science with R Programming Course.

Conclusion:

Clearly, the world of data is a thrilling and varied one. There are many highly rewarding job roles and careers right in front of us, and the call for such positions is high.
Data Science Certification can help you gain an edge over others in the best possible manner.

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