So, you are curious about stepping into data science? If you have been scrolling through job boards or chatting with your friends, you must have noticed the one question that keeps coming up: What kind of salary do freshers actually earn in this field?

That curiosity is natural. After all, when you are thinking of investing time and effort into building a career, you want to know what’s waiting for you on the other side. The good news? Data science entry-level jobs come with competitive pay packages that make them especially appealing for graduates and early professionals.

In this blog, we will walk you through what to expect in your first role, where the opportunities lie, and how salaries differ across countries like Dubai, Australia, and the UK. By the end, you will have a clear idea of what a data science job for a fresher really looks like, and why it is such a smart move for your future.

What do entry-level data science jobs involve?

Think of your first job after completing data science as the launchpad. Even though you will be starting out as a fresher, you will not just be sitting on the sidelines. You will be working on real-world problems that businesses face every day. Entry-level jobs in the data science industry typically involve tasks like:

• Collecting, cleaning, and organising raw datasets.
• Running simple models and analysis under supervision.
• Assisting senior data scientists with projects.
• Creating reports and visualisations that make data easier to understand.
• These responsibilities allow you to build a strong foundation while also proving your skills.

Average data science fresher salary around the world

Now let’s get to the part you are most curious about, the numbers. Salaries for fresh graduates vary depending on where you start, but here’s what the market looks like:

• Dubai: Bachelor of Data Science graduates can earn between AED 7,692 and AED 16,270 per month (Source: Naukri).
• Australia: The average annual salary ranges from AUD $110,000 to $130,000, with Sydney topping at $132,500 (Source: Seek).
• United Kingdom: The average salary is around £53,027, and in London, it can go up to £60,520 (Source: Indeed).

Factors that affect entry-level salaries of data science graduates

Not every graduate will earn the same package. A few key factors can make a big difference:

• Location: Big cities like Sydney or London tend to pay higher due to demand and cost of living.
• Skills: If you have already worked with tools like Python, R, or Tableau, you are more likely to secure better offers.
• Role type: Some graduates step into remote roles, while others join in-office teams. Each comes with its own pay structure.
• Industry: Sectors like finance, healthcare, and technology often value data science skills more and pay accordingly.

Tips to boost your entry-level salary

So, how do you make sure you are not just another fresher on the lower end of the pay band? Here are some ways to stand out:

• Build a strong portfolio: Share your projects on GitHub or LinkedIn. Even small case studies show initiative.
• Keep learning: Employers notice candidates who stay ahead with the latest tools and techniques.
• Work on communication: Being able to explain technical findings in simple terms makes you a stronger hire.
• Say yes to internships: Many students turn internships into full-time offers with higher pay.
• Negotiate smartly: If you know the market average, do not be afraid to ask for what you are worth.

Final thoughts

Starting your career in data science is not just about landing a job; it is about opening doors to a world of opportunities. From competitive salaries to the chance to work across industries and countries, you will be stepping into a field that values your skills from day one.

At SP Jain Global, our Bachelor of Data Science program is designed to prepare you for exactly this kind of future. You will study theory, get hands-on experience in Sydney, and build the skills that top employers look for.

Ready to kickstart your global career in data science? Get the full program guide today and see where SP Jain Global can take you.

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Why every industry needs a data scientist - Not just tech companies

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