Salary for Entry-level / Junior Consultant during 2024

💰 The median Salary for Entry-level / Junior Consultant during 2024 is USD 82,675

✏️ This salary info is based on 32 individual salaries reported during 2024

Salary details

The average entry-level / junior Consultant salary lies between USD 54,444 and USD 110,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title: Consultant

Experience: Entry-level / Junior

Region: global/worldwide

Salary year: 2024

Sample size: 32

Top 10%: $ 142,300

Top 25%: $ 110,000

Median: $ 82,675

Bottom 25%: $ 54,444

Bottom 10%: $ 51,500

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 2024

Top 20 Job Tags for Entry-level / Junior Consultant roles

The three most common job tag items assiciated with entry-level / junior Consultant job listings are Python, SQL and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Top 20 Job Perks/Benefits for Entry-level / Junior Consultant roles

The three most common job benefits and perks assiciated with entry-level / junior Consultant job listings are Career development, Competitive pay and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Salary Composition

The salary for an entry-level or junior consultant in AI/ML/Data Science typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s policy, individual performance, and the overall success of the company. Additional remuneration might include stock options, especially in tech companies or startups, and benefits such as health insurance, retirement plans, and professional development allowances. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and more lucrative stock options. Industry also plays a role; for instance, finance and tech industries might offer higher bonuses compared to academia or non-profits. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller companies potentially offering more equity.

Increasing Salary

To increase your salary from an entry-level position, consider gaining specialized skills or certifications that are in high demand. Pursuing advanced education, such as a master's degree or Ph.D., can also open up higher-paying opportunities. Networking within the industry and seeking mentorship can provide insights into career advancement. Additionally, gaining experience in managing projects or leading teams can position you for roles with greater responsibility and higher pay. Staying updated with the latest trends and technologies in AI/ML can make you more valuable to employers. Consider transitioning to industries or companies known for higher compensation, or negotiating your salary based on your growing expertise and contributions.

Educational Requirements

Most entry-level positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, statistics, or engineering. Some positions may prefer or require a master's degree, especially in more competitive markets or specialized roles. Coursework in machine learning, data analysis, programming, and statistics is often essential. Practical experience through internships, projects, or research can also be highly beneficial and sometimes necessary to complement formal education.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise to potential employers. Some valuable certifications include:

Google Professional Machine Learning Engineer
AWS Certified Machine Learning – Specialty
Microsoft Certified: Azure AI Engineer Associate
IBM Data Science Professional Certificate
TensorFlow Developer Certificate

These certifications can validate your skills in specific tools and platforms commonly used in the industry.

Experience Requirements

For entry-level roles, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects. Experience with programming languages such as Python or R, familiarity with machine learning frameworks like TensorFlow or PyTorch, and experience with data manipulation and analysis are often required. Demonstrating experience through a portfolio of projects or contributions to open-source projects can also be advantageous.

Related salaries

Consultant @ $ 121,400 (global) Details

Consultant @ $ 107,600 (global) - Mid-level / Intermediate Details

Consultant @ $ 130,000 (global) - Senior-level / Expert Details

Consultant @ $ 108,300 (United States) - Mid-level / Intermediate Details

Consultant @ $ 123,000 (United States) Details

Consultant @ $ 88,500 (United States) - Entry-level / Junior Details

Consultant @ $ 131,237 (United States) - Senior-level / Expert Details

Consultant @ $ 54,999 (France) Details

Consultant @ $ 88,000 (Canada) - Senior-level / Expert Details

Consultant @ $ 82,005 (Canada) Details

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