Associate Salary in United Kingdom during 2024
π° The median Associate Salary in United Kingdom during 2024 is USD 58,106
βοΈ This salary info is based on 50 individual salaries reported during 2024
Salary details
The average 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.
- Job title
- Associate
- Experience
- all levels
- Region
- United Kingdom
- Salary year
- 2024
- Sample size
- 50
- Top 10%
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- Top 25%
-
- Median
-
- Bottom 25%
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- Bottom 10%
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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:Top 20 Job Tags for Associate roles
The three most common job tag items assiciated with 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 | 4033 jobs Engineering | 3317 jobs SQL | 2974 jobs Machine Learning | 2631 jobs Computer Science | 2440 jobs Statistics | 2401 jobs Research | 2333 jobs R | 1688 jobs Mathematics | 1640 jobs Data management | 1574 jobs Data Analytics | 1528 jobs Testing | 1505 jobs Data analysis | 1486 jobs Finance | 1441 jobs Agile | 1441 jobs AWS | 1365 jobs Excel | 1342 jobs Tableau | 1291 jobs Security | 1278 jobs Architecture | 1186 jobsTop 20 Job Perks/Benefits for Associate roles
The three most common job benefits and perks assiciated with 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 | 4393 jobs Health care | 1913 jobs Flex hours | 1586 jobs Competitive pay | 1260 jobs Team events | 1165 jobs Startup environment | 1020 jobs Wellness | 955 jobs Equity / stock options | 804 jobs Flex vacation | 783 jobs Insurance | 733 jobs Salary bonus | 640 jobs Parental leave | 631 jobs Medical leave | 523 jobs Conferences | 352 jobs Relocation support | 319 jobs Transparency | 295 jobs 401(k) matching | 264 jobs Fitness / gym | 184 jobs Home office stipend | 134 jobs Flexible spending account | 105 jobsSalary Composition
In the United Kingdom, the salary for an Associate 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 companyβs policy and your individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in tech startups or larger tech companies, and benefits such as health insurance, pension contributions, and professional development allowances. The composition can vary by region, with London-based roles often offering higher salaries to account for the cost of living. Industry also plays a role; for instance, finance and tech sectors might offer more competitive packages compared to academia or public sector roles. Company size can influence the package as well, with larger companies potentially offering more comprehensive benefits.
Increasing Salary
To increase your salary from an Associate position, consider the following steps:
- Skill Enhancement: Continuously update and expand your technical skills, particularly in high-demand areas like deep learning, natural language processing, or big data analytics.
- Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open up higher-level positions and increase earning potential.
- Certifications: Obtain relevant certifications that can validate your skills and make you more competitive.
- Networking: Build a strong professional network to learn about new opportunities and gain insights into industry trends.
- Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary increases.
- Industry Transition: Consider moving to industries that offer higher compensation for AI/ML roles, such as finance or tech.
Educational Requirements
Most Associate roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering. However, a master's degree is often preferred and can significantly enhance your prospects. Courses in machine learning, data mining, statistical analysis, and programming are particularly beneficial. Some roles may also require knowledge of specific tools and technologies, such as Python, R, SQL, and machine learning frameworks like TensorFlow or PyTorch.
Helpful Certifications
While not always mandatory, certain certifications can be advantageous in demonstrating your expertise and commitment to the field. Some popular certifications include:
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure AI Engineer Associate
- Google Professional Machine Learning Engineer
- AWS Certified Machine Learning β Specialty
- IBM Data Science Professional Certificate
These certifications can help you stand out in a competitive job market and may lead to better job opportunities and salary prospects.
Required Experience
Typically, an Associate role in AI/ML/Data Science requires 1-3 years of relevant experience. This experience can be gained through internships, co-op programs, or entry-level positions in data analysis, software development, or related fields. Practical experience with data manipulation, statistical analysis, and machine learning model development is crucial. Employers often look for candidates who have experience working with large datasets and who can demonstrate problem-solving skills and the ability to apply theoretical knowledge to real-world scenarios.
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