Consultant Salary in France during 2024

💰 The median Consultant Salary in France during 2024 is USD 54,999

✏️ This salary info is based on 10 individual salaries reported during 2024

Salary details

The average Consultant salary lies between USD 46,666 and USD 57,777 in France. 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: all levels

Region: France

Salary year: 2024

Sample size: 10

Top 10%: $ 65,555

Top 25%: $ 57,777

Median: $ 54,999

Bottom 25%: $ 46,666

Bottom 10%: $ 44,444

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 Consultant roles

The three most common job tag items assiciated with Consultant job listings are Python, SQL and Consulting. 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 Consultant roles

The three most common job benefits and perks assiciated with Consultant job listings are Career development, Flex hours and Team events. 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

In France, the composition of a salary for an AI/ML/Data Science Consultant can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

Fixed Base Salary: This is the guaranteed portion of your salary and usually constitutes the majority of your total compensation. In larger cities like Paris, the base salary might be higher due to the increased cost of living.
Performance-Based Bonus: Many companies offer bonuses based on individual performance, team performance, or company profitability. This can range from 5% to 20% of the base salary.
Additional Remuneration: This can include stock options, especially in tech startups, as well as benefits like health insurance, retirement plans, and transportation allowances. Larger companies might offer more comprehensive benefits packages.

Increasing Your Salary

To increase your salary from the median level, consider the following strategies:

Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
Networking: Build a strong professional network by attending industry conferences, joining professional groups, and engaging in online forums. Networking can lead to new job opportunities and insights into higher-paying roles.
Advanced Education: Pursuing further education, such as a master's degree or Ph.D., can open doors to higher-level positions and salaries.
Negotiation: When offered a new position or during performance reviews, be prepared to negotiate your salary. Research industry standards and be ready to present your achievements and contributions.

Educational Requirements

Most AI/ML/Data Science Consultant roles require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, many employers prefer candidates with a master's degree or higher, especially for more senior positions. A strong foundation in statistics, programming, and machine learning principles is essential.

Helpful Certificates

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 help you stand out in a competitive job market and may lead to better job opportunities and higher salaries.

Required Experience

Typically, employers look for candidates with at least 2-5 years of experience in data science or a related field. Experience in consulting, project management, and client interaction is also highly valued. Demonstrated experience in handling real-world data projects, from data collection and cleaning to model deployment, is crucial.

Related salaries

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

Consultant @ $ 118,350 (global) Details

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

Consultant @ $ 82,675 (global) - Entry-level / Junior Details

Consultant @ $ 123,000 (United States) Details

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

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

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

Consultant @ $ 82,005 (Canada) Details

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

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.

Add your salary info Download all salary data