Salary for Mid-level / Intermediate Data Scientist in United Kingdom during 2023

Salary details

The average mid-level / intermediate Data Scientist salary lies between USD 55,368 and USD 86,128 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. 15, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Data Scientist roles

The three most common job tag items assiciated with mid-level / intermediate Data Scientist job listings are Python, Machine Learning and Statistics. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Python | 599 jobs Machine Learning | 539 jobs Statistics | 464 jobs SQL | 410 jobs Engineering | 372 jobs Computer Science | 325 jobs R | 314 jobs Research | 297 jobs Mathematics | 251 jobs Data analysis | 191 jobs ML models | 179 jobs Testing | 144 jobs Data visualization | 144 jobs AWS | 143 jobs Tableau | 131 jobs Data Mining | 131 jobs NLP | 129 jobs Deep Learning | 124 jobs TensorFlow | 120 jobs Scikit-learn | 116 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Scientist roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Scientist 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 2023 and the number of open jobs that where offering them during that period:

Career development | 524 jobs Health care | 249 jobs Flex hours | 176 jobs Competitive pay | 168 jobs Startup environment | 165 jobs Team events | 150 jobs Equity / stock options | 110 jobs Flex vacation | 110 jobs Parental leave | 103 jobs Insurance | 99 jobs Salary bonus | 83 jobs Medical leave | 81 jobs Conferences | 73 jobs 401(k) matching | 61 jobs Fitness / gym | 48 jobs Wellness | 39 jobs Unlimited paid time off | 37 jobs Home office stipend | 30 jobs Gear | 26 jobs Yoga | 23 jobs

Salary Composition

In the United Kingdom, the salary for a mid-level or intermediate data scientist typically comprises a fixed base salary, performance-based bonuses, and sometimes additional remuneration such as stock options or benefits. The base salary is the most significant component, often accounting for 70-85% of the total compensation package. Bonuses can vary widely depending on the company and industry, ranging from 5-20% of the base salary. Larger tech companies or financial institutions might offer more substantial bonuses compared to smaller startups. Additional remuneration, such as stock options or profit-sharing, is more common in tech companies and can significantly enhance the overall compensation package, especially in high-growth sectors.

Steps to Increase Salary

To increase your salary from a mid-level data scientist position, consider the following strategies:

• Skill Enhancement: Continuously update your skills, especially in emerging technologies like deep learning, natural language processing, or cloud computing. Mastery of tools like TensorFlow, PyTorch, or AWS can make you more valuable.
• Advanced Education: Pursuing a master's degree or a Ph.D. in data science, computer science, or a related field can open doors to higher-paying roles.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• Leadership Roles: Aim for roles that involve team leadership or project management, as these often come with higher pay.
• Industry Shift: Consider moving to industries that pay higher salaries for data scientists, such as finance, healthcare, or tech.

Educational Requirements

Most mid-level data scientist positions require at least a bachelor's degree in a relevant field such as data science, computer science, statistics, mathematics, or engineering. However, many employers prefer candidates with a master's degree or higher, especially for more complex roles. A strong foundation in statistical analysis, machine learning, and programming is essential.

Helpful Certifications

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

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Demonstrates proficiency in using Azure for data science tasks.
• Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Highlights your skills in building, training, and deploying machine learning models on AWS.

Required Experience

Typically, a mid-level data scientist is expected to have 2-5 years of relevant experience. This experience should include hands-on work with data analysis, machine learning model development, and data visualization. Experience in handling large datasets and working with data science tools and programming languages like Python, R, SQL, and Hadoop is often required.

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