Salary for Mid-level / Intermediate Consultant during 2024

Salary details

The average mid-level / intermediate Consultant salary lies between USD 85,000 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. 10, 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 | 406 jobs SQL | 363 jobs Engineering | 311 jobs Consulting | 256 jobs Computer Science | 253 jobs Machine Learning | 230 jobs Statistics | 196 jobs Mathematics | 178 jobs R | 174 jobs Azure | 155 jobs Power BI | 152 jobs Architecture | 146 jobs Tableau | 144 jobs Big Data | 142 jobs Security | 136 jobs ETL | 132 jobs Research | 129 jobs Data Analytics | 126 jobs Agile | 126 jobs AWS | 123 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 | 387 jobs Team events | 165 jobs Flex hours | 152 jobs Health care | 141 jobs Startup environment | 125 jobs Equity / stock options | 103 jobs Competitive pay | 81 jobs Insurance | 76 jobs Flex vacation | 63 jobs Salary bonus | 60 jobs Fitness / gym | 50 jobs Medical leave | 50 jobs Parental leave | 40 jobs Conferences | 29 jobs Unlimited paid time off | 21 jobs 401(k) matching | 20 jobs Wellness | 17 jobs Flexible spending account | 12 jobs Travel | 10 jobs Gear | 10 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.

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