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- Tasks: Analyse datasets and support the development of AI-driven solutions.
- Company: Dynamic tech company focused on innovative AI projects.
- Benefits: Competitive salary, career growth, and exposure to advanced AI technologies.
- Other info: Diverse and inclusive workplace with professional development support.
- Why this job: Join a collaborative team and make an impact in the AI field.
- Qualifications: Degree in Data Science or related field with AI experience.
The predicted salary is between 50000 - 60000 £ per year.
We are seeking a detail-oriented AI Analyst to support the development and optimization of AI-driven solutions. This role focuses on analyzing datasets, supporting machine learning initiatives, and translating insights into actionable business outcomes. The ideal candidate brings hands-on experience within the UK market, strong analytical capabilities, and a solid understanding of AI and data science fundamentals.
Key Responsibilities
- Analyze structured and unstructured datasets to identify trends and insights
- Support the development and evaluation of machine learning models
- Perform data preprocessing, cleaning, and feature engineering
- Collaborate with data scientists and engineers to implement AI solutions
- Develop dashboards, reports, and visualizations to communicate findings
- Monitor model performance and contribute to optimization efforts
- Translate business requirements into data-driven solutions
- Ensure compliance with data governance and UK regulatory standards
Required Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
- Minimum 3+ years of experience in AI, data analysis, or related roles within the UK
- Proficiency in Python, R, or similar tools for data analysis
- Strong understanding of statistics, data modeling, and machine learning concepts
- Experience with data visualization tools (e.g., Power BI, Tableau)
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management abilities
- Mandatory Certification (at least one): Microsoft Certified: Azure AI Engineer Associate, Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty
Preferred Qualifications
- Experience with Microsoft Azure, Amazon Web Services, or Google Cloud Platform
- Familiarity with machine learning frameworks (Scikit-learn, TensorFlow, or similar)
- Knowledge of big data tools (e.g., Spark)
- Understanding of MLOps and model deployment processes
- Familiarity with UK data regulations (e.g., GDPR)
Skills
- Data Analysis & Interpretation
- Machine Learning Fundamentals
- Data Visualization & Reporting
- Programming (Python/R)
- Critical Thinking & Communication
What We Offer
- Competitive, market-aligned salary (UK standards)
- Opportunity to work on innovative AI and analytics projects
- Career growth and professional development support
- Exposure to advanced AI technologies and tools
- Collaborative and data-driven work environment
Equal Opportunity Statement
We are an equal opportunity employer. We are committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, religion, gender, age, disability, or any other protected status.
Artificial Intelligence Specialist in Bolton employer: Fortray Consulting Limited
Contact Detail:
Fortray Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Specialist in Bolton
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field through LinkedIn or local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and data analysis. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and case studies. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Artificial Intelligence Specialist in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Analyst role. Highlight your experience with data analysis, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: In your application, don’t just list your qualifications—show us how you’ve used them! Include specific examples of how you've analysed datasets or developed machine learning models. This helps us understand your hands-on experience.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate a well-structured letter that communicates your passion for AI and data science without unnecessary fluff. Let’s get straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Fortray Consulting Limited
✨Know Your AI Fundamentals
Brush up on your understanding of AI and data science fundamentals. Be ready to discuss key concepts like machine learning models, data preprocessing, and feature engineering. This will show that you’re not just familiar with the tools but also understand the underlying principles.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've analysed datasets in the past. Highlight any trends or insights you discovered and how they translated into actionable business outcomes. This will demonstrate your hands-on experience and analytical capabilities.
✨Familiarise Yourself with Tools
Make sure you’re comfortable discussing the programming languages and data visualisation tools mentioned in the job description, like Python, R, Power BI, or Tableau. If you’ve used any big data tools or machine learning frameworks, be ready to talk about those experiences too!
✨Understand UK Regulations
Since this role requires compliance with UK data regulations, brush up on GDPR and any other relevant laws. Being able to discuss how you ensure compliance in your work will set you apart as a candidate who takes data governance seriously.