10 High-Paying Data Science Jobs for Beginners in 2025



The field of data science is booming, and with the increasing demand for data-driven decision-making, there are numerous opportunities for those looking to start their careers in this exciting domain. For beginners, landing a high-paying job in data science might seem challenging, but with the right skills and knowledge, it's entirely achievable. In this blog post, we will explore ten high-paying data science entry level jobs that are expected to be in demand in 2025. We'll provide insights into each role, the skills required, and tips on how to secure these positions.

Introduction

Data science is a multidisciplinary field that combines statistics, computer science, and domain expertise to extract insights from data. As organizations across various industries continue to recognize the value of data, the demand for skilled data scientists is on the rise. For beginners, data science entry level jobs offer a gateway to lucrative and fulfilling careers. This masterclass will guide you through ten high-paying data science jobs for beginners in 2025, helping you understand what each role entails and how to prepare for them.

1. Data Analyst

Role and Responsibilities

Data analysts are responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use statistical techniques and software tools to interpret data and generate actionable insights. Data analysts often work closely with business stakeholders to understand their needs and provide data-driven recommendations.

Skills Required

  • Proficiency in data analysis tools such as Excel, SQL, and Python
  • Strong analytical and problem-solving skills
  • Knowledge of data visualization tools like Tableau or Power BI
  • Excellent communication skills to present findings to non-technical stakeholders

Salary Expectations

The average salary for data analysts in 2025 is expected to range from ₹6,00,000 to ₹12,00,000 per year, depending on the industry and location.

2. Business Intelligence (BI) Developer

Role and Responsibilities

BI developers design and develop business intelligence solutions to help organizations make data-driven decisions. They create and maintain data models, dashboards, and reports that provide insights into business performance. BI developers work closely with data engineers and analysts to ensure data accuracy and consistency.

Skills Required

  • Proficiency in BI tools such as Microsoft Power BI, Tableau, and QlikView
  • Strong SQL and data modeling skills
  • Experience with ETL (Extract, Transform, Load) processes
  • Ability to translate business requirements into technical solutions

Salary Expectations

The average salary for BI developers in 2025 is expected to range from ₹8,00,000 to ₹15,00,000 per year.

3. Data Engineer

Role and Responsibilities

Data engineers are responsible for designing, building, and maintaining the infrastructure that allows data to be collected, stored, and processed. They work with large datasets and ensure that data pipelines are efficient and reliable. Data engineers play a crucial role in enabling data scientists and analysts to access and analyze data.

Skills Required

  • Proficiency in programming languages such as Python, Java, and Scala
  • Experience with big data technologies like Hadoop, Spark, and Kafka
  • Strong knowledge of database systems (SQL and NoSQL)
  • Understanding of data warehousing and ETL processes

Salary Expectations

The average salary for data engineers in 2025 is expected to range from ₹10,00,000 to ₹18,00,000 per year.

4. Machine Learning Engineer

Role and Responsibilities

Machine learning engineers develop and deploy machine learning models that enable organizations to make predictions and automate decision-making processes. They work with large datasets, design algorithms, and optimize models for performance and scalability. Machine learning engineers often collaborate with data scientists and software developers.

Skills Required

  • Proficiency in programming languages such as Python and R
  • Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
  • Experience with data preprocessing and feature engineering
  • Knowledge of cloud platforms like AWS, Azure, or Google Cloud

Salary Expectations

The average salary for machine learning engineers in 2025 is expected to range from ₹12,00,000 to ₹20,00,000 per year.

5. Data Scientist

Role and Responsibilities

Data scientists analyze complex data sets to uncover patterns, trends, and insights that can drive business decisions. They use statistical methods, machine learning algorithms, and data visualization techniques to interpret data and communicate findings. Data scientists often work on projects that involve predictive modeling, customer segmentation, and recommendation systems.

Skills Required

  • Proficiency in programming languages such as Python and R
  • Strong knowledge of statistics and machine learning
  • Experience with data visualization tools like Matplotlib, Seaborn, or Plotly
  • Ability to communicate complex findings to non-technical stakeholders

Salary Expectations

The average salary for data scientists in 2025 is expected to range from ₹10,00,000 to ₹18,00,000 per year.

6. Data Architect

Role and Responsibilities

Data architects design and manage the architecture of data systems within an organization. They create blueprints for data management, ensuring that data is stored, integrated, and accessed efficiently. Data architects work closely with data engineers, analysts, and other stakeholders to develop scalable and secure data solutions.

Skills Required

  • Strong knowledge of database systems (SQL and NoSQL)
  • Experience with data modeling and data warehousing
  • Proficiency in data integration and ETL processes
  • Understanding of cloud data platforms like AWS, Azure, or Google Cloud

Salary Expectations

The average salary for data architects in 2025 is expected to range from ₹12,00,000 to ₹22,00,000 per year.

7. Statistician

Role and Responsibilities

Statisticians apply statistical methods to analyze data and solve real-world problems. They design experiments, collect data, and interpret results to provide insights that inform business decisions. Statisticians often work in industries such as healthcare, finance, and government.

Skills Required

  • Strong knowledge of statistical methods and techniques
  • Proficiency in statistical software such as R, SAS, or SPSS
  • Experience with data collection and experimental design
  • Ability to communicate statistical findings to non-technical audiences

Salary Expectations

The average salary for statisticians in 2025 is expected to range from ₹8,00,000 to ₹15,00,000 per year.

8. Data Analyst Consultant

Role and Responsibilities

Data analyst consultants work with clients to analyze data and provide actionable insights that drive business decisions. They often work on a project basis, helping organizations solve specific data-related challenges. Data analyst consultants need strong analytical skills and the ability to communicate findings effectively.

Skills Required

  • Proficiency in data analysis tools such as Excel, SQL, and Python
  • Strong problem-solving and analytical skills
  • Experience with data visualization tools like Tableau or Power BI
  • Excellent communication and presentation skills

Salary Expectations

The average salary for data analyst consultants in 2025 is expected to range from ₹10,00,000 to ₹18,00,000 per year.

9. Business Analyst

Role and Responsibilities

Business analysts bridge the gap between IT and business by analyzing data to improve business processes and systems. They gather requirements, analyze data, and provide recommendations to enhance efficiency and effectiveness. Business analysts often work closely with stakeholders to understand their needs and deliver data-driven solutions.

Skills Required

  • Proficiency in data analysis tools such as Excel and SQL
  • Strong analytical and problem-solving skills
  • Experience with business process modeling and requirements gathering
  • Excellent communication and interpersonal skills

Salary Expectations

The average salary for business analysts in 2025 is expected to range from ₹8,00,000 to ₹15,00,000 per year.

10. Data Science Intern

Role and Responsibilities

Data science interns work under the guidance of experienced data scientists to gain hands-on experience in data analysis, machine learning, and data visualization. They assist with data collection, preprocessing, and analysis, and contribute to various data science projects. Internships provide valuable exposure to real-world data science applications and can lead to full-time positions.

Skills Required

  • Basic knowledge of programming languages such as Python or R
  • Understanding of statistical methods and data analysis techniques
  • Familiarity with data visualization tools
  • Strong willingness to learn and adapt

Salary Expectations

The average stipend for data science interns in 2025 is expected to range from ₹2,00,000 to ₹5,00,000 per year, with the potential for higher earnings upon securing a full-time position.

Conclusion

The demand for data science professionals continues to grow, and there are numerous high-paying data science entry level jobs available for beginners in 2025. By acquiring the right skills and knowledge, you can secure a lucrative position in this exciting field. We hope this masterclass has provided you with valuable insights into the various data science roles and their salary expectations.

If you have any questions or would like to share your experiences, please leave a comment below. And don't forget to check out our course in Data Science and Artificial Intelligence at the Boston Institute of Analytics for more in-depth training and resources.

Location: Pune, Maharashtra, India

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