Salary for Senior-level / Expert Analyst in United Kingdom during 2024

Salary details

The average senior-level / expert Analyst salary lies between USD 56,250 and USD 68,750 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 Senior-level / Expert Analyst roles

The three most common job tag items assiciated with senior-level / expert Analyst job listings are SQL, Python and Statistics. 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:

SQL | 6068 jobs Python | 4992 jobs Statistics | 4116 jobs Tableau | 3662 jobs Data analysis | 3477 jobs Engineering | 3318 jobs Excel | 2851 jobs Power BI | 2662 jobs R | 2591 jobs Computer Science | 2285 jobs Data Analytics | 2277 jobs Research | 2225 jobs Finance | 2200 jobs Data visualization | 2152 jobs Mathematics | 2115 jobs Testing | 2080 jobs Data quality | 1787 jobs Business Intelligence | 1759 jobs Machine Learning | 1735 jobs Data management | 1464 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert Analyst 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 | 5093 jobs Health care | 3461 jobs Flex hours | 2250 jobs Competitive pay | 2161 jobs Equity / stock options | 1870 jobs Startup environment | 1707 jobs Insurance | 1665 jobs Team events | 1636 jobs Flex vacation | 1463 jobs Medical leave | 1400 jobs Parental leave | 1317 jobs Salary bonus | 1290 jobs Wellness | 1063 jobs 401(k) matching | 886 jobs Transparency | 437 jobs Fitness / gym | 328 jobs Home office stipend | 270 jobs Unlimited paid time off | 226 jobs Gear | 224 jobs Relocation support | 221 jobs

Salary Composition

In the United Kingdom, the salary composition for a Senior-level or Expert Analyst in AI/ML/Data Science typically includes a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is often the largest component, providing a stable income. Bonuses can vary significantly depending on the company's performance, individual achievements, and industry standards. For instance, tech companies or financial institutions might offer higher bonuses compared to academia or public sector roles. Additional remuneration might include stock options, especially in tech startups, or comprehensive benefits packages in larger corporations. The composition can also vary by region, with London-based roles often offering higher salaries to account for the cost of living.

Increasing Salary

To increase your salary from this 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 AI ethics can make you more valuable.
• Advanced Education: Pursuing further education, such as a Ph.D. or an MBA with a focus on data science, can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly boost your salary. This might involve leading a team of data scientists or heading a project.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech, can also increase your salary.
• Networking and Visibility: Building a strong professional network and increasing your visibility in the field through conferences, publications, or speaking engagements can lead to better job offers.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a master's degree in a related field such as computer science, data science, statistics, or mathematics. A Ph.D. is often preferred, especially for roles that involve research or advanced technical work. Employers look for candidates with a strong foundation in algorithms, data structures, and statistical modeling.

Helpful Certificates

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

• 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 demonstrate your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a senior-level position requires 5-10 years of experience in data science or a related field. This experience should include hands-on work with machine learning models, data analysis, and possibly leading projects or teams. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be crucial for certain roles.

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