(This role can be based from anywhere in Europe on a fully remote basis)
AI / ML Consultant What we believe
Technology is no longer just an enabler of business strategy. It is the business strategy. And with AI reshaping how companies operate, compete and grow — while rapidly accelerating the pace of change — the stakes have never been higher. Our role
We’re focused on helping private equity investors and portfolio company leaders drive value creation through technology. In a world where investors deploy trillions annually into software and tech-enabled businesses, we're the team that makes sure the underlying technology actually delivers. Our approach
The expert judgment of our experienced practitioners is complemented by proven frameworks, tech-enabled solutions, and objective data to help organizations navigate critical technology decisions across diligence, transformation, growth, cybersecurity, AI, and operational execution. What we value
Everything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity.
If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in. Overview
Work with technology companies to identify improvements of existing technology, organizations, processes, and tools used to develop software products and services. Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments (I.e. technical due diligence) Design and implement solutions from scratch (e.g. Agile methodology transformations), guiding and mentoring more junior software developers and other engineers.
Collaboratively work in partnership with internal and client technical leads and team members.
Expected Results
Be an apprentice consultant for your first 2 projects and then be willing and able to drive a project on your own to successful completion, including collaboration, project management, and getting your hands dirty
Participate in and drive AI assessment efforts on behalf of investment companies, collaborating, digging deep, and creating a report for the investors to outline technical investment risks
Participate in hands-on implementation projects using processes and technologies that are most applicable to you, producing stellar customer feedback along the way
Work with technology companies to identify improvements of existing AI technology, organizations, processes, and tools.
Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments.
Collaboratively work in partnership with internal and client technical leads and team members
Required qualifications
10+ years of experience in the fields of advanced analytics, data science, ML, analytical AI; current knowledge of Generative AI , in roles such as Lead / Sr Scientist, Lead for Analytics / ML / AI, at tech companies or consulting firms AI and Data Science Skills : In-depth expert-level experience in Data Science domain (data mining, statistics, machine learning, etc.) and AI domain:
Analytical and generative AI
Evaluation of available data assets and their profile
Current knowledge of LLM landscape, commercial and open course
Model selection, training, fine-tuning
Model efficacy metrics, bias management
IP considerations
ML Ops and related tooling
Cloud hosting options and self-hosting, and related economics
Multi-modal AI (text, NLP / voice, images, video)
AI-enabled software engineering
Be willing to learn and take on new areas that may be outside of your initial comfort zone
Passion towards making others great and making a high-performing team even better
An action-oriented personality – you know how to get stuff done
Ability to work from home (or an office of your choosing) and be self-directed, but also effectively collaborate with the team in both a remote and in-person capacity
Advanced degree in computer science, statistics, advanced analytics, data science, machine learning, AI