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- Tasks: Lead the design and build of AI tools for a B2B sales platform.
- Company: Join a PE-backed SaaS firm with a $100 million ARR and a stellar tech team.
- Benefits: Work with cutting-edge technology and access to C-suite for strategic insights.
- Why this job: Make a real impact by creating AI tools that drive commercial value and enhance user experience.
- Qualifications: Experience in developing Data & AI tools, especially LLMs and machine learning projects.
- Other info: Be part of a dynamic team with unrivaled datasets and a modern tech stack.
The predicted salary is between 72000 - 108000 £ per year.
About the Company – PE backed c. $100 million ARR B2B SaaS firm, looking to hire a Principal Data Scientist to help integrate data science and AI products into their platform. They are around 200 employees with a great tech team and modern tech stack as well as an unrivalled dataset in their marketplace built by merging several key companies within the sector.
About the Role – The role will be largely a Senior Individual contributor although with significant access & interaction with the C-suite to advise on Ai strategy. You will be responsible for design and build of ai tools for a B2B sales platform. The products will aim to take the platform to another level of depth for it\’s users offering strategic recommendation & insights.
It is critical that you can demonstrate experience of creating Data & AI tools that have created commercial value for an organisation and/or it\’s clients.
Responsibilities:
- Design and build AI tools for a b2b sales platform.
- Offer recommendations on ai strategy to c-suite and board level
- Provide ai leadership and SME knowledge to the business particularly the Technical team
We are expecting technical experience in some of these areas;
- LLM\’s, RAG
- Delivering applied Machine Learning projects
- Time Series Model
- Recommender systems & models
Principal Data Scientist (ML & Gen AI) employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist (ML & Gen AI)
✨Tip Number 1
Familiarize yourself with the latest trends in AI and machine learning, especially in the context of B2B sales platforms. This knowledge will not only help you during interviews but also demonstrate your passion and commitment to the field.
✨Tip Number 2
Network with professionals in the data science and AI community. Attend relevant conferences, webinars, or meetups to connect with industry leaders and gain insights that could be beneficial for your role at StudySmarter.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully integrated AI tools that generated commercial value. Be ready to explain your thought process, challenges faced, and how you overcame them.
✨Tip Number 4
Showcase your leadership skills by discussing how you've guided teams or influenced strategy in previous roles. Highlight any experience you have working closely with C-suite executives to align AI initiatives with business goals.
We think you need these skills to ace Principal Data Scientist (ML & Gen AI)
Some tips for your application 🫡
Understand the Company: Research the B2B SaaS firm thoroughly. Understand their products, market position, and how they integrate data science and AI into their platform. This knowledge will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in creating Data & AI tools that have generated commercial value. Be specific about projects you've worked on, particularly those involving LLMs, RAG, and recommender systems.
Showcase Leadership Skills: Since the role involves advising C-suite executives, demonstrate your leadership capabilities. Include examples of how you've provided strategic recommendations or led AI initiatives in previous roles.
Tailor Your Application: Customize your application materials to reflect the job description. Use keywords from the listing, such as 'AI strategy', 'B2B sales platform', and 'applied Machine Learning projects' to make your application stand out.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with LLMs, RAG, and applied machine learning projects. Highlight specific examples where you've designed and built AI tools that delivered commercial value.
✨Understand the Business Context
Research the company’s B2B sales platform and its marketplace. Be ready to explain how your AI strategies can enhance their offerings and provide strategic recommendations that align with their business goals.
✨Engage with the C-Suite Perspective
Since you'll be interacting with the C-suite, practice articulating your ideas clearly and concisely. Focus on how your insights can drive business decisions and improve the overall strategy of the organization.
✨Demonstrate Leadership and Collaboration
Prepare to discuss how you can provide AI leadership and collaborate effectively with technical teams. Share examples of past experiences where you led projects or mentored others in the field of data science and AI.
