Data Specialist Salary in United Kingdom during 2024
💰 The median Data Specialist Salary in United Kingdom during 2024 is USD 48,480
✏️ This salary info is based on 28 individual salaries reported during 2024
Salary details
The average Data Specialist salary lies between USD 41,250 and USD 56,250 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
- Data Specialist
- Experience
- all levels
- Region
- United Kingdom
- Salary year
- 2024
- Sample size
- 28
- Top 10%
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- Top 25%
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- Median
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- 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 Data Specialist roles
The three most common job tag items assiciated with Data Specialist job listings are Excel, Data management and Research. 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:
Excel | 624 jobs Data management | 463 jobs Research | 405 jobs Data quality | 374 jobs SQL | 357 jobs Data analysis | 297 jobs Engineering | 259 jobs Power BI | 257 jobs Finance | 250 jobs Testing | 242 jobs Python | 215 jobs Privacy | 214 jobs Security | 208 jobs Computer Science | 171 jobs Statistics | 162 jobs R | 157 jobs Data governance | 148 jobs Tableau | 147 jobs Data visualization | 135 jobs Banking | 125 jobsTop 20 Job Perks/Benefits for Data Specialist roles
The three most common job benefits and perks assiciated with 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 | 701 jobs Health care | 443 jobs Flex hours | 361 jobs Startup environment | 291 jobs Competitive pay | 253 jobs Team events | 234 jobs Equity / stock options | 183 jobs Insurance | 180 jobs Flex vacation | 171 jobs Salary bonus | 165 jobs Medical leave | 111 jobs Wellness | 108 jobs Parental leave | 105 jobs Relocation support | 69 jobs 401(k) matching | 67 jobs Transparency | 38 jobs Home office stipend | 38 jobs Gear | 36 jobs Fitness / gym | 31 jobs Conferences | 27 jobsSalary Composition
In the United Kingdom, the salary composition for a Data Specialist in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. This base salary can vary significantly depending on the region, industry, and company size. For instance, positions in London or within the finance and tech industries often offer higher base salaries compared to other regions or sectors. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the base salary, depending on the company's performance and individual contributions. Some companies also provide additional remuneration in the form of stock options, profit-sharing, or other incentives, particularly in larger tech firms or startups aiming to attract top talent.
Increasing Salary
To increase your salary from the Data Specialist position, consider the following steps:
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Skill Enhancement: Continuously update and expand your technical skills, particularly in high-demand areas such as machine learning, deep learning, and data engineering. Proficiency in programming languages like Python and R, as well as experience with big data technologies, can make you more valuable.
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Advanced Education: Pursuing a master's degree or a Ph.D. in data science, computer science, or a related field can open up higher-paying opportunities and leadership roles.
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Networking and Professional Development: Attend industry conferences, workshops, and networking events to connect with other professionals and stay informed about industry trends. This can lead to new job opportunities or promotions.
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Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field, which can justify a higher salary.
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Leadership and Management Skills: Developing skills in project management and leadership can position you for roles with greater responsibility and higher pay.
Educational Requirements
Most Data Specialist roles in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, mathematics, or engineering. However, many employers prefer candidates with a master's degree or higher, especially for more advanced positions. A strong educational background provides the foundational knowledge necessary to understand complex data systems and algorithms.
Helpful Certifications
Several certifications can enhance your qualifications as a Data Specialist:
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Certified Analytics Professional (CAP): This certification demonstrates your ability to transform data into valuable insights and is recognized across industries.
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Microsoft Certified: Azure Data Scientist Associate: This certification is beneficial if you work with Microsoft's Azure platform, focusing on machine learning and data science solutions.
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Google Professional Data Engineer: This certification is ideal for those working with Google Cloud Platform, emphasizing data processing and machine learning.
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AWS Certified Machine Learning – Specialty: This certification is valuable for professionals working with Amazon Web Services, focusing on building, training, and deploying machine learning models.
Experience Requirements
Typically, employers look for candidates with at least 2-5 years of experience in data analysis, data science, or a related field. Experience with data manipulation, statistical analysis, and machine learning techniques is crucial. Additionally, hands-on experience with data visualization tools, databases, and programming languages is often required. Internships, co-op programs, or project work during your studies can also count towards this experience.
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