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

Salary details

The average senior-level / expert Data Specialist salary lies between USD 41,250 and USD 51,772 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 Data Specialist roles

The three most common job tag items assiciated with senior-level / expert Data Specialist job listings are SQL, Research and Data management. 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 | 94 jobs Research | 89 jobs Data management | 85 jobs Data quality | 78 jobs Excel | 77 jobs Data analysis | 76 jobs Engineering | 67 jobs Python | 65 jobs Computer Science | 61 jobs Power BI | 60 jobs Testing | 54 jobs Security | 49 jobs Finance | 46 jobs Privacy | 46 jobs R | 45 jobs Statistics | 45 jobs Tableau | 43 jobs Agile | 36 jobs Banking | 35 jobs Data governance | 35 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Specialist 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 | 133 jobs Health care | 97 jobs Flex hours | 89 jobs Competitive pay | 55 jobs Startup environment | 50 jobs Equity / stock options | 42 jobs Flex vacation | 39 jobs Insurance | 37 jobs Team events | 33 jobs Salary bonus | 24 jobs Medical leave | 23 jobs Parental leave | 19 jobs Wellness | 18 jobs Relocation support | 15 jobs 401(k) matching | 10 jobs Transparency | 9 jobs Home office stipend | 7 jobs Flexible spending account | 7 jobs Gear | 6 jobs Conferences | 5 jobs

Salary Composition

In the United Kingdom, the salary composition for a Senior-level or Expert Data Specialist 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 the largest component and is influenced by factors such as the region, industry, and company size. For instance, positions in London or within the finance and tech industries often offer higher base salaries due to the cost of living and competitive market. Bonuses can vary significantly, often ranging from 10% to 20% of the base salary, and are usually tied to individual or company performance. Additional remuneration might include stock options, especially in tech startups, or comprehensive benefits packages in larger corporations.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, such as a Data Science Manager or Head of Data, which typically offer higher salaries.
• Industry Shift: Moving to industries with higher pay scales, such as finance or tech, can result in a significant salary increase.
• Networking and Visibility: Engage in networking opportunities, attend industry conferences, and contribute to publications or open-source projects to increase your visibility and reputation in the field.

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. can be advantageous, especially for roles that involve research or advanced algorithm development. Employers often look for candidates with a strong foundation in quantitative skills and a deep understanding of machine learning principles.

Helpful Certificates

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

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

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

Required Experience

Typically, a Senior-level Data Specialist role requires 5-10 years of experience in data science or a related field. This experience should include hands-on work with data analysis, machine learning model development, and deployment. Experience in leading projects or teams is often expected, as well as a proven track record of solving complex data problems and delivering business value.

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