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AI Solutions Consultant

Help organisations work out where AI really helps, then make it work

💡 Why it matters: Many organisations want to use AI but are unsure where it will help and where it will waste money or cause harm. Consultants who understand both the technology and the business can pick sensible projects and see them through.

🌍 Around the world

💰 What it can pay

🇳🇬 Nigeria

Starting out
₦2M – ₦5M
Mid-career
₦6M – ₦16M
Senior
₦16M – ₦40M

≈ ₦500k – ₦1.3M a month mid-career. Indicative estimate by Incusim.

🇬🇧 United Kingdom

£27k – £60k

Closest National Careers Service profile: Management consultant. Typical starter to experienced salary. National Careers Service, 2026

🇺🇸 United States

$101.9k typical
Range $60.6k – $171.6k

Closest US category: Management analysts. Median pay; low and high are the 10th and 90th percentiles.. US Bureau of Labor Statistics, May 2025

🇨🇦 Canada

CA$96k typical
Range CA$60k – CA$142.9k

Closest Job Bank occupation: IT (information technology) consultant. Hourly wage low, median and high x 2,080 hours. Job Bank (Government of Canada), 2023-2024

Yearly pay before tax. UK, US and Canada figures come from the official sources named on each card. Nigeria has no official salary survey, so those are our indicative estimates. Real pay depends on the employer, the place, your skills and experience.

🛠️ What you actually do

⚡ Skills you'll need

Get ready at school

🇳🇬 Nigeria

Subjects to be good at
English LanguageMathematicsEconomicsComputer StudiesCommerce
Qualifications
BSc in Computer Science, Information Systems, Statistics, Economics or Business Administration (UTME, the JAMB entrance exam, usually needs English, Mathematics, Physics and one more science; check each school)Postgraduate diploma or master's in data science, AI or business analytics
Other ways in
  • Starting as a business analyst, data analyst or IT support role
  • Online AI and data courses plus real projects for a portfolio

🇬🇧 United Kingdom

Subjects to be good at
Maths (GCSE and A-level)English (GCSE and A-level)Business Studies or EconomicsComputer Science (GCSE and A-level)
Qualifications
Degree in business, computer science, data science, maths or economics (applied for through UCAS, the university application service)Master's degree in AI, data science or business analytics (helpful but not always needed)
Other ways in
  • Business or digital degree apprenticeships (study while you work)
  • Starting as a business analyst or data analyst, then moving into consulting

🇺🇸 United States

Subjects to be good at
Math, including statistics (AP Statistics)EnglishComputer science (AP, or Advanced Placement, Computer Science Principles)Economics or business classes
Qualifications
Bachelor's degree in business, computer science, data science, economics or a similar fieldMaster's degree such as an MBA or in data science (common for senior consulting roles)
Other ways in
  • Starting as a data analyst, business analyst or software developer
  • Internships at consulting firms or technology companies

🇨🇦 Canada

Subjects to be good at
Grade 12 EnglishGrade 12 Math (requirements vary by province)Computer science or IT courses where your school offers themPhysics (asked for by some programs)
Qualifications
University bachelor's degree in business, computer science, data science or economicsMaster's degree such as an MBA or in data science (common for senior consulting roles)
Other ways in
  • Co-op programs that alternate study terms with paid work terms
  • Starting as a data analyst, business analyst or IT specialist

🗺️ Your path to this career

  1. 1Build strong English, maths and critical thinking, and try AI tools yourself
  2. 2Learn how data and AI work at a basic level, including what they get wrong
  3. 3Study business, computer science, data science or economics
  4. 4Get experience as an analyst or in IT, or take an internship that touches real business problems
  5. 5Join a consulting or technology team, learn from experienced consultants, then lead projects

⏰ A day in the life

A small chain of clinics asks if AI could cut the time staff spend on booking calls. You sit in on calls, then show them an assistant that handles simple bookings and passes hard ones to a person. You write clear rules for what it may not do and train the front desk team.

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