Data Scientist Job Opportunities, Salary Package and Course Fee in the Philippines

The “uncertainty” of the future is one of humanity’s most perplexing issues. It will be magical if they can find a tool that allows them to see into the future. That is exactly what data science does.

A data scientist is responsible for accumulating, scrutinizing, and deciphering meaning out of massive volumes of data. In the commercial world, data scientists usually work in groups to mine large amounts of data for information that may be used to forecast client behaviour and uncover new income prospects. In most firms, data scientists are also in charge of producing best practices for gathering data, exploration, and interpretation.

As more businesses turn to data science to expand their business opportunities, more specialists will be required in the industry.

In the Philippines, information technology is still in high demand. This year, the IT business ranked third in terms of paying high salaries to new graduates, with IT experts earning the best compensation among all workers.

The Philippines is home to some of the absolutely massive business outsourcing companies.

Job Opportunities in the Philippines

As firms rely on data-driven insights to stay afloat, demand for data scientists is increasing. Companies recognise the importance and power of Big Data and are eager to put it to work in order to make better business decisions.

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

The demand is only going to increase. By 2025, there will be a significant gap between the demand for good professionals and their availability in the employment market.

Data Science Fees in Philippines

The cost of a Data Science course in Philippines ranges from INR 30170.43 PHP to INR 75552.00 PHP, depending on the institute and course level.

The Online Data Science Course Fee at DataMites is PHP 83,180, however, with the discount, our Online Data Science Course in the Philippines is only PHP 43,015.

Data Science Fees in Manila

The Data Science Training Fee at DataMites is PHP 83,180, however, with the discount, our Online Data Science Course in Manila is only PHP 43,015.

Data Scientist Salary in Philippines

According to Glassdoor, the national average salary for data scientists in the Philippines is PHP 50,000 per month.

In the Philippines, the highest monthly income for a Data Scientist is PHP 1,20,000.
In the Philippines, the lowest wage for a Data Scientist is PHP 28,000 per month.

Payscale:

• An early career Data Scientist with 1-4 years of experience gets an average total compensation of ₱731,493.
• A mid-career Data Scientist with 5-9 years of experience gets an average total salary of ₱922,364.
• An experienced Data Scientist with 10-19 years of experience gets an average total salary of ₱1132,500

Indeed:

• The average income for a data scientist in the Philippines is ₱563,211 per year.
• In the Philippines, the average monthly income for a data scientist is ₱39,876.
• The Philippines’ capital, Manila, is a heavily packed bayside metropolis on the island of Luzon that blends Spanish colonial architecture with modern skyscrapers. IT growth in Manila is blooming higher!

Glassdoor:

• In Manila, the capital of Philippines, the average monthly income for a Data Scientist is PHP 50,000.
• In Manila, the highest monthly income for a Data Scientist is PHP 1,21,000.
• In the Manila, Philippines area, the lowest wage for a Data Scientist is PHP 28,000 per month.

Indeed:

• The average monthly income for a data scientist in Manila is ₱61,464.
• In Manila, the average compensation for a data scientist is ₱868,108 per year.

The World Economic Forum had predicted that Data Scientists and Analysts would become the number one emerging role in the world by 2022!

Who is eligible for Data Science?

A bachelor’s degree in data science or a related discipline such as mathematics, statistics, economics, or computer science is the first step toward becoming a data scientist. Before landing your first entry-level data scientist job, you might pursue a specialisation or certification in data science or acquire a master’s degree in the field.

Responsibilities

• Identify and automate valuable data sources and collecting procedures.
• Prepare structured and unstructured data for analysis Analyze vast volumes of data to find trends and patterns.
• Create machine-learning algorithms and predictive models.
• Ensemble modelling allows you to combine models.
• Data visualisation techniques are used to present information.
• Propose business-related solutions and strategies.
• Collaborate with product development and engineering teams.

It’s a smart idea to take advantage of this chance and establish a successful career that will benefit both you and the business.

But where should I start?

Data Science Courses in Philippines from DataMites may help you start your career in data science.

DataMites offers specialised training in areas such as Data Science, Machine Learning, Deep Learning, Artificial Intelligence, IoT, and Python Learning. IABAC – International Association of Business Analytics Certification – has given DataMites global recognition.

DataMites offers encyclopaedic training from industry leaders to help you become a world-class expert in the subjects that matter most. Investing in DataMites training is without a doubt the smartest decision you can make.

We render Online Data Science course in Philippines comprising a variety of courses for beginners to experienced professionals as well as managers!

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

For senior managers and business owners, Datamites offers 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 wish to enhance their professional capabilities 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

The Internet of Things, digital media platforms, smartphones, artificial intelligence, big data analytics, blockchain, and quantum computing have all ushered in a new era in which Data Science will be vital to company success.
Today, in our modern era, there is no shortage of data science applications to address real-world problems. Data science is widely used in industries such as healthcare, education, banking and finance, and e-commerce, to mention a few. The fact that data is massive and growing at an exponential rate necessitates a more effective application of data science.
Enrol for Online Data Science Training in Philippines!