Salary for Mid-level / Intermediate Associate in United Kingdom during 2024

Salary details

The average mid-level / intermediate Associate salary lies between USD 46,155 and USD 106,250 in the United Kingdom. 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.

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: Dec. 22, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Associate job listings are Python, Engineering and SQL. 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 | 2697 jobs Engineering | 2255 jobs SQL | 1928 jobs Machine Learning | 1796 jobs Computer Science | 1745 jobs Research | 1694 jobs Statistics | 1678 jobs R | 1236 jobs Mathematics | 1136 jobs Testing | 1055 jobs Data management | 1011 jobs Data analysis | 997 jobs Agile | 939 jobs Security | 910 jobs AWS | 909 jobs Finance | 899 jobs Excel | 896 jobs Data Analytics | 874 jobs Tableau | 821 jobs Architecture | 815 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Associate job listings are Career development, Health care 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 | 2934 jobs Health care | 1289 jobs Flex hours | 1165 jobs Team events | 856 jobs Competitive pay | 785 jobs Startup environment | 733 jobs Insurance | 603 jobs Equity / stock options | 589 jobs Flex vacation | 578 jobs Wellness | 558 jobs Parental leave | 473 jobs Salary bonus | 472 jobs Medical leave | 385 jobs Conferences | 265 jobs Relocation support | 247 jobs Transparency | 217 jobs 401(k) matching | 209 jobs Fitness / gym | 144 jobs Home office stipend | 84 jobs Flexible spending account | 83 jobs

Salary Composition

In the United Kingdom, the salary composition for a mid-level AI/ML/Data Science role typically includes a fixed base salary, performance-based bonuses, and sometimes additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, usually around 70-80%. Bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can add another 5-10% to the total package. Regional differences also play a role; for instance, salaries in London are generally higher due to the cost of living and the concentration of tech companies.

Increasing Salary

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

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging areas like deep learning, natural language processing, or cloud computing.
• Advanced Education: Pursuing a master's degree or a Ph.D. in a relevant field can open doors to higher-paying roles.
• Networking: Build a strong professional network through industry conferences, meetups, and online platforms like LinkedIn.
• Leadership Roles: Seek opportunities to lead projects or teams, as managerial experience can significantly boost your earning potential.
• Industry Switch: Transitioning to industries with higher pay scales, such as finance or healthcare, can also lead to salary increases.

Educational Requirements

Most mid-level AI/ML/Data Science positions require at least a bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex data analysis or algorithm development. A strong foundation in mathematics and programming is essential, and coursework in machine learning, data mining, and statistical analysis is highly beneficial.

Helpful Certificates

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

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

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

Required Experience

Typically, a mid-level position requires 3-5 years of relevant experience in data science or a related field. This experience should include hands-on work with data analysis, machine learning model development, and programming in languages such as Python or R. Experience with data visualization tools and cloud platforms is also advantageous. Demonstrated success in previous projects, particularly those that have had a measurable impact on business outcomes, is often a key requirement.

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