Data, AI and Analytics Consultant, Big 4, Consulting, Central London
Carrington Recruitment Solutions Ltd Careers
- Industry Type
- Engineering Design, Consulting
- Functional Area
- Engineering
- Nationality
- Any
- Keywords
- Consulting Expertise
Job Description
Carrington Recruitment Solutions Ltd Careers is looking for a Data, AI and Analytics Consultant based in Cambridge, United Kingdom. This consulting role involves working mainly in the office with some travel to client sites. The role requires a versatile professional able to handle various tasks in consulting.
- Position
- Data, AI and Analytics Consultant
- Company
- Carrington Recruitment Solutions Ltd Careers
- Location
- Cambridge, United Kingdom
- Industry
- Engineering Design, Consulting
- Experience
- 1 to 20 years
Responsibilities
- Spend approximately four days a week in the office.
- Potential travel to various client sites as the position evolves.
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About the role: Data, AI and Analytics Consultant, Big 4, Consulting, Central London
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Data, AI and Analytics Consultants help organizations use data and artificial intelligence to improve their business decisions and operations. They typically work in consulting firms, advising clients across various industries on data strategies and analytics solutions.
What this role usually involves
- Analyzing client data to identify trends and insights
- Developing AI and machine learning models to solve business problems
- Advising clients on data management and analytics strategies
- Collaborating with technical teams to implement data solutions
- Presenting findings and recommendations to stakeholders
- Staying updated with the latest AI and analytics technologies
Skills employers usually look for
- Strong analytical and problem-solving abilities
- Knowledge of AI, machine learning, and data analytics tools
- Good communication and presentation skills
- Ability to work collaboratively in teams
- Understanding of business processes and challenges
- Proficiency in programming languages like Python or R
Usual qualifications
- A degree in computer science, data science, engineering, or related field
- Training or certification in AI, machine learning, or data analytics
- Experience with data visualization tools
- Continuous learning in emerging technologies
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