Salary for Mid-level / Intermediate Consultant during 2024

Salary details

The average mid-level / intermediate Consultant salary lies between USD 84,600 and USD 150,000 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.

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

Last updated: Nov. 17, 2024

Top 20 Job Tags for Mid-level / Intermediate Consultant roles

The three most common job tag items assiciated with mid-level / intermediate Consultant job listings are Python, SQL and Engineering. 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:

Python | 424 jobs SQL | 380 jobs Engineering | 325 jobs Computer Science | 269 jobs Consulting | 265 jobs Machine Learning | 239 jobs Statistics | 200 jobs Mathematics | 192 jobs R | 183 jobs Power BI | 158 jobs Azure | 158 jobs Big Data | 154 jobs Architecture | 149 jobs Tableau | 148 jobs Security | 139 jobs ETL | 132 jobs Research | 132 jobs Agile | 130 jobs Data Analytics | 129 jobs Data analysis | 128 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Consultant roles

The three most common job benefits and perks assiciated with mid-level / intermediate Consultant job listings are Career development, Team events 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:

Career development | 408 jobs Team events | 177 jobs Flex hours | 155 jobs Health care | 148 jobs Startup environment | 140 jobs Equity / stock options | 114 jobs Insurance | 90 jobs Competitive pay | 82 jobs Flex vacation | 65 jobs Fitness / gym | 62 jobs Salary bonus | 61 jobs Medical leave | 52 jobs Parental leave | 41 jobs Conferences | 30 jobs Unlimited paid time off | 21 jobs 401(k) matching | 20 jobs Wellness | 20 jobs Gear | 12 jobs Flexible spending account | 12 jobs Travel | 11 jobs

Salary Composition

The salary for a mid-level AI/ML/Data Science consultant typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary often constitutes the majority of the total compensation package, usually around 70-80%. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can make up 5-10% of the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market.

Increasing Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open doors to higher-paying roles.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and engaging with thought leaders.
• Leadership Roles: Seek opportunities to lead projects or teams, as management experience can significantly boost your earning potential.
• Industry Switch: Consider moving to industries that pay higher salaries for AI/ML expertise, such as finance, healthcare, or autonomous systems.

Educational Requirements

Most mid-level AI/ML/Data Science consultant roles require at least a bachelor's degree in a relevant field such as computer science, data science, mathematics, or engineering. However, a master's degree is often preferred and can provide a competitive edge. Coursework in statistics, machine learning, data analysis, and programming is essential. Some roles may also require knowledge of specific industries, so courses in business or domain-specific subjects can be beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level consultant position requires 3-5 years of experience in AI/ML or data science roles. This experience should include hands-on work with data analysis, model development, and deployment. Experience in project management or leading small teams can also be advantageous. Familiarity with industry-standard tools and programming languages such as Python, R, SQL, and frameworks like TensorFlow or PyTorch is often expected.

Related salaries

Want to contribute?