Salary for Mid-level / Intermediate Data Scientist in United Kingdom during 2022

Salary details

The average mid-level / intermediate Data Scientist salary lies between USD 57,872 and USD 102,200 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: Oct. 28, 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 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 | 477 jobs Machine Learning | 451 jobs SQL | 337 jobs Statistics | 317 jobs Engineering | 302 jobs Computer Science | 294 jobs Research | 277 jobs R | 275 jobs Mathematics | 209 jobs NLP | 177 jobs PhD | 134 jobs Data visualization | 131 jobs Data Mining | 128 jobs Tableau | 126 jobs Testing | 124 jobs Big Data | 118 jobs AWS | 116 jobs Classification | 109 jobs Consulting | 108 jobs Spark | 107 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 2022 and the number of open jobs that where offering them during that period:

Career development | 450 jobs Health care | 186 jobs Flex hours | 165 jobs Startup environment | 129 jobs Team events | 113 jobs Equity / stock options | 106 jobs Competitive pay | 101 jobs Conferences | 85 jobs Flex vacation | 75 jobs Salary bonus | 70 jobs Home office stipend | 67 jobs Insurance | 61 jobs Medical leave | 47 jobs Parental leave | 41 jobs 401(k) matching | 37 jobs Wellness | 35 jobs Fitness / gym | 33 jobs Gear | 30 jobs Unlimited paid time off | 23 jobs Lunch / meals | 17 jobs

Salary Composition

In the United Kingdom, the salary composition for a mid-level data scientist typically includes a fixed base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the most significant component, often constituting 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 and additional incentives like stock options, especially in regions like London where competition for talent is fierce. Smaller companies or startups might offer equity as part of the compensation package to attract talent.

Increasing Salary

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

• Skill Enhancement: Acquire advanced skills in machine learning, deep learning, or specialized areas like natural language processing or computer vision. Proficiency in popular tools and languages such as Python, R, TensorFlow, and PyTorch can be advantageous.
• Networking: Engage with professional networks and attend industry conferences to connect with peers and potential employers.
• Certifications: Obtain relevant certifications that can validate your expertise and make you more attractive to employers.
• Industry Transition: Consider moving to industries that pay higher salaries for data scientists, such as finance, healthcare, or tech.
• Geographical Mobility: Be open to relocating to regions with higher demand and compensation for data scientists, such as London.

Educational Requirements

Most mid-level data scientist positions require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. However, a master's degree or Ph.D. can be highly beneficial and sometimes preferred, especially for roles that involve complex data analysis or research. Advanced degrees can also provide a competitive edge and potentially lead to higher starting salaries.

Helpful Certifications

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

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• IBM Data Science Professional Certificate

These certifications demonstrate a commitment to the field and a recognized level of expertise, which can be appealing to employers.

Experience Requirements

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, statistical modeling, and machine learning projects. Experience in managing projects, collaborating with cross-functional teams, and delivering actionable insights from data is also valuable.

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