BI Developer Salary in United Kingdom during 2024

Salary details

The average BI Developer salary lies between USD 50,000 and USD 62,500 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 BI Developer roles

The three most common job tag items assiciated with BI Developer job listings are SQL, Power BI and ETL. 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 | 797 jobs Power BI | 746 jobs ETL | 439 jobs Business Intelligence | 410 jobs Computer Science | 352 jobs Azure | 307 jobs Security | 297 jobs Agile | 283 jobs Engineering | 272 jobs Tableau | 266 jobs Data analysis | 260 jobs Python | 243 jobs Data visualization | 216 jobs Data Analytics | 215 jobs Testing | 201 jobs Data warehouse | 194 jobs SSIS | 171 jobs Data Warehousing | 161 jobs Architecture | 161 jobs Excel | 159 jobs

Top 20 Job Perks/Benefits for BI Developer roles

The three most common job benefits and perks assiciated with BI Developer 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 | 546 jobs Health care | 256 jobs Flex hours | 222 jobs Insurance | 141 jobs Team events | 134 jobs Competitive pay | 123 jobs Flex vacation | 105 jobs Startup environment | 100 jobs Salary bonus | 82 jobs Equity / stock options | 71 jobs Parental leave | 64 jobs Medical leave | 55 jobs Wellness | 48 jobs Flexible spending account | 47 jobs 401(k) matching | 40 jobs Fitness / gym | 40 jobs Home office stipend | 22 jobs Relocation support | 15 jobs Transparency | 13 jobs Conferences | 11 jobs

Salary Composition

In the United Kingdom, the salary composition for AI/ML/Data Science roles can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. 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. Larger companies or those in high-demand industries like finance or technology may offer more substantial bonuses. Additional remuneration might include stock options, especially in tech startups, or other benefits such as health insurance, pension contributions, and professional development allowances. In regions like London, where the cost of living is higher, salaries tend to be more competitive compared to other parts of the UK.

Increasing Salary Potential

To increase your salary from a BI Developer position in AI/ML/Data Science, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in advanced machine learning techniques, data engineering, and big data technologies. Proficiency in programming languages like Python and R, as well as experience with cloud platforms like AWS or Azure, can be particularly valuable.

• Specialization: Focus on a niche area within AI/ML, such as natural language processing, computer vision, or deep learning, which can command higher salaries due to specialized expertise.

• Networking and Professional Visibility: Attend industry conferences, participate in online forums, and contribute to open-source projects to increase your visibility and network with industry professionals.

• Advanced Education: Consider pursuing a master's degree or PhD in a related field, which can open doors to higher-level positions and salary brackets.

• Leadership Roles: Aim for leadership or managerial roles, which typically offer higher compensation due to increased responsibilities.

Educational Requirements

Most AI/ML/Data Science positions require at least a bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering. However, many employers prefer candidates with a master's degree or PhD, especially for more advanced roles. A strong foundation in mathematics, particularly in areas like linear algebra, calculus, and probability, is essential. Additionally, coursework or experience in data analysis, machine learning, and programming is highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty

These certifications can validate your skills in specific tools and platforms, making you a more attractive candidate.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools, statistical analysis, and machine learning frameworks is often required. For more senior roles, 5-10 years of experience, including leadership or project management experience, may be necessary.

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