Data Scientist Salary in United Kingdom during 2022

Salary details

The average Data Scientist salary lies between USD 57,872 and USD 110,820 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: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Data Scientist roles

The three most common job tag items assiciated with Data Scientist job listings are Python, Machine Learning and SQL. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Python | 2740 jobs Machine Learning | 2364 jobs SQL | 2008 jobs Statistics | 1994 jobs Engineering | 1885 jobs R | 1484 jobs Computer Science | 1477 jobs Research | 1436 jobs Mathematics | 1182 jobs Testing | 908 jobs ML models | 849 jobs PhD | 688 jobs Spark | 659 jobs AWS | 654 jobs Data analysis | 620 jobs NLP | 611 jobs Pipelines | 611 jobs Tableau | 604 jobs Economics | 589 jobs Deep Learning | 549 jobs

Top 20 Job Perks/Benefits for Data Scientist roles

The three most common job benefits and perks assiciated with Data Scientist job listings are Career development, Health care and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 2225 jobs Health care | 997 jobs Startup environment | 867 jobs Flex hours | 756 jobs Flex vacation | 660 jobs Team events | 608 jobs Equity / stock options | 566 jobs Parental leave | 519 jobs Competitive pay | 510 jobs Insurance | 474 jobs Salary bonus | 375 jobs Medical leave | 363 jobs Wellness | 349 jobs 401(k) matching | 281 jobs Home office stipend | 259 jobs Conferences | 215 jobs Unlimited paid time off | 170 jobs Fitness / gym | 156 jobs Snacks / Drinks | 96 jobs Gear | 95 jobs

Salary Composition for Data Scientists in the UK

The salary composition for a Data Scientist in the UK typically includes a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The base salary is the most significant component and varies depending on factors like region, industry, and company size. For instance, data scientists in London often earn higher base salaries compared to those in other regions due to the higher cost of living and concentration of tech companies. In industries like finance or tech, bonuses can be substantial, sometimes constituting 10-20% of the total compensation package. Larger companies may offer additional perks such as stock options, which can be a significant part of the total remuneration, especially in tech startups or publicly traded companies.

Steps to Increase Salary

To increase your salary as a Data Scientist, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools such as deep learning, natural language processing, or cloud computing. Mastery of programming languages like Python and R, as well as proficiency in data visualization tools, can make you more valuable.

• Advanced Education: Pursuing a master's degree or a Ph.D. in a relevant field can open doors to higher-paying positions and specialized roles.

• Networking and Professional Development: Attend industry conferences, workshops, and meetups to expand your professional network. Engaging with the data science community can lead to new opportunities and insights into higher-paying roles.

• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during job offers or performance reviews.

• Transition to High-Paying Industries: Consider moving to industries known for higher compensation, such as finance, healthcare, or tech.

Educational Requirements

Most data scientist positions require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. However, many employers prefer candidates with a master's degree or a Ph.D., especially for roles involving complex data analysis or research. A strong educational background in quantitative fields provides the necessary foundation for understanding data science concepts and methodologies.

Helpful Certifications

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

• Certified Analytics Professional (CAP): This certification is recognized globally and covers a broad range of analytics skills.

• Microsoft Certified: Azure Data Scientist Associate: Ideal for those working with Azure, this certification validates your ability to apply data science techniques on the Azure platform.

• Google Professional Data Engineer: This certification is beneficial for those working with Google Cloud Platform and focuses on designing data processing systems.

• AWS Certified Machine Learning – Specialty: For those working with AWS, this certification demonstrates your ability to build, train, and deploy machine learning models on the AWS platform.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data analysis or a related field. Experience with data manipulation, statistical analysis, and machine learning is crucial. Practical experience with data science tools and programming languages, as well as a proven track record of solving real-world data problems, is highly valued.

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