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- Tasks: Join a dynamic team to implement AI solutions and drive digital transformation for clients.
- Company: Aventis partners with a leading tech firm to create an innovative AI Innovation Team.
- Benefits: Enjoy remote work flexibility, competitive salary, bonuses, and additional perks.
- Why this job: Be part of a cutting-edge division shaping the future of AI across industries.
- Qualifications: Strong AI/ML knowledge, consulting experience, and familiarity with cloud platforms required.
- Other info: Work closely with leadership to drive AI adoption and make a real impact.
The predicted salary is between 48000 - 72000 £ per year.
Aventis is excited to partner with a leading technology firm to create a cutting-edge AI Innovation Team. We’re looking for a pair of dynamic AI & data-focused Business Analysts to join this rapidly growing division. This position offers an exciting opportunity to be involved in both presales and technical delivery, helping clients implement AI and machine learning solutions that solve real-world business challenges and drive digital transformation.
Salary: £60,000–£90,000 + bonus + benefits
Location: Remote-based with London HQ
Future Growth: You will be part of an emerging division, working closely with the leadership team to drive AI adoption across industries.
Key Skills, Attributes, and Technologies Desired:
- AI & ML Knowledge: Strong understanding of machine learning and AI frameworks, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Consulting/Sales/Presales Expertise: Proven ability to engage with clients or senior stakeholders, providing expert advice during presales stages, gathering requirements, and designing AI-driven solutions.
- Experience in the technical implementation of AI solutions, from proof-of-concept to full deployment.
- Experience working with cloud platforms (AWS, Azure, GCP) for deploying AI solutions, including familiarity with data platforms like BigQuery, Databricks or Snowflake.
- Business Acumen: Ability to translate technical AI concepts into clear business outcomes, advising clients on strategies to harness AI for growth.
- Data Expertise: Strong knowledge of data analysis, data engineering, and working with large-scale datasets using data visualisation tools like Power BI.
- Predictive Analytics & Insights: Ability to develop or work alongside predictive models and extract actionable business insights from complex datasets.
- Experience working in multidisciplinary teams, including data engineers, product managers, and client stakeholders.
- Logical approach to identifying business problems and applying AI solutions that bring measurable value.
- DevOps & CI/CD Tools: Experience with tools like Azure DevOps, Docker, and Terraform for efficient delivery and automation of AI solutions.
As an AI Consultant, you will play an essential role in the end-to-end delivery of AI projects, from presales engagement through to the implementation of innovative AI solutions. This is an exceptional opportunity to join an innovative AI team, leveraging both your technical expertise and strategic insight to help clients achieve their business objectives through AI transformation.
AI Consultant / Business Analyst - Data & AI/ML Technology employer: Aventis Solutions
Contact Detail:
Aventis Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant / Business Analyst - Data & AI/ML Technology
✨Tip Number 1
Network with professionals in the AI and data fields. Attend industry events, webinars, or meetups to connect with potential colleagues and clients. Building relationships can lead to valuable insights and opportunities that may not be advertised.
✨Tip Number 2
Stay updated on the latest trends and technologies in AI and machine learning. Follow relevant blogs, podcasts, and thought leaders in the industry. This knowledge will not only enhance your expertise but also demonstrate your passion for the field during interviews.
✨Tip Number 3
Prepare to discuss real-world applications of AI solutions you've worked on. Be ready to share specific examples of how you've helped clients achieve their business goals through AI, as this will showcase your consulting skills and technical knowledge.
✨Tip Number 4
Familiarise yourself with the cloud platforms mentioned in the job description, such as AWS, Azure, and GCP. Consider taking online courses or certifications to deepen your understanding, which will make you a more attractive candidate for the role.
We think you need these skills to ace AI Consultant / Business Analyst - Data & AI/ML Technology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and machine learning frameworks, as well as your consulting and presales expertise. Use specific examples to demonstrate how you've engaged with clients and implemented AI solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the job requirements, particularly your ability to translate technical concepts into business outcomes and your experience with cloud platforms.
Showcase Relevant Projects: If you have worked on relevant projects, especially those involving AI implementation or data analysis, be sure to include them in your application. Highlight your role, the technologies used, and the impact of the project on the business.
Prepare for Technical Questions: Anticipate technical questions related to AI and machine learning during the interview process. Brush up on your knowledge of supervised and unsupervised learning, as well as your experience with tools like Azure DevOps and Docker.
How to prepare for a job interview at Aventis Solutions
✨Showcase Your AI Knowledge
Make sure to brush up on your understanding of AI and ML frameworks. Be prepared to discuss specific projects or experiences where you've applied supervised and unsupervised learning, deep learning, or reinforcement learning. This will demonstrate your technical expertise and passion for the field.
✨Engage with Real-World Examples
During the interview, share examples of how you've helped clients implement AI solutions that address real business challenges. Highlight your role in presales engagements and how you gathered requirements to design effective AI-driven solutions.
✨Translate Technical Jargon
Practice explaining complex AI concepts in simple terms. The ability to translate technical details into clear business outcomes is crucial. Prepare to discuss how you've advised clients on strategies to harness AI for growth in previous roles.
✨Familiarise Yourself with Cloud Platforms
Since experience with cloud platforms like AWS, Azure, or GCP is essential, be ready to discuss your familiarity with these technologies. Mention any specific tools or data platforms you've worked with, such as BigQuery or Databricks, to showcase your hands-on experience.
