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- Tasks: Lead the development of impactful AI products for a thriving B2B SaaS firm.
- Company: Join a PE-backed company with $100 million ARR and a cutting-edge tech team.
- Benefits: Enjoy a collaborative environment, access to C-suite, and opportunities for professional growth.
- Why this job: Make a real difference by building AI tools that drive revenue and enhance user experience.
- Qualifications: Experience in AI product development, machine learning, and delivering commercial value is essential.
- Other info: Work with a unique dataset and be part of a dynamic, innovative team.
The predicted salary is between 43200 - 72000 £ per year.
This role will lead the build of real world AI products for a very successful B2B SaaS firm, already doing c. $100 million ARR. The products you build will have significant impact on the company's bottom line.
The company has a large proprietary data set, unrivalled in their marketplace.
About the Role - The role will be largely a Senior Individual contributor although with significant access & interaction with the C-suite & Private Equity backers. You'll lead teams on a squad basis and manage 3rd party resource from a specialist consultancy.
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 its users offering strategic recommendation & insights.
It is critical that you can demonstrate experience of building Data & AI tools that have created commercial value for an organisation and/or its clients. In particular, we are looking for experience of building AI enabled prediction & forecasting products.
We are expecting technical experience in some of these areas:
- LLM's, RAG
- Delivering applied Machine Learning projects
- Time Series Modelling
- Recommender systems & models
This is an opportunity to build real world AI tools that will be put in the hands of B2B end users, and create significant extra revenue for the rapidly growing B2B SaaS company.
Principal Data Scientist / AI Engineer employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist / AI Engineer
✨Tip Number 1
Familiarise yourself with the company's existing products and their unique data set. Understanding how your skills can enhance their offerings will help you articulate your vision during discussions.
✨Tip Number 2
Network with current employees or industry professionals who have experience in B2B SaaS and AI. They can provide insights into the company culture and expectations, which can be invaluable during your interactions.
✨Tip Number 3
Prepare to discuss specific examples of your past projects that demonstrate your ability to create commercial value through AI tools. Highlighting measurable outcomes will make a strong impression.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning, particularly in the B2B space. Being able to discuss recent advancements or case studies will show your passion and expertise in the field.
We think you need these skills to ace Principal Data Scientist / AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in building AI tools and data science projects. Focus on specific achievements that demonstrate your ability to create commercial value, especially in B2B environments.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about AI and data science. Mention your experience with LLMs, time series modelling, and recommender systems, and how these skills can benefit the company.
Showcase Relevant Projects: Include a portfolio or a section in your application that showcases previous projects where you built AI-enabled prediction and forecasting products. Highlight the impact these projects had on revenue or efficiency.
Prepare for Technical Questions: Anticipate technical questions related to machine learning and AI during the interview process. Be ready to discuss your methodologies, tools used, and the outcomes of your projects in detail.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with LLMs, time series modelling, and recommender systems. Bring examples of past projects where you built AI tools that delivered commercial value, as this will demonstrate your capability to contribute effectively.
✨Understand the Business Impact
Since this role is focused on creating products that enhance the company's bottom line, be ready to explain how your work in data science and AI has previously led to measurable business outcomes. This shows that you understand the importance of aligning technical solutions with business goals.
✨Prepare for Leadership Questions
As a Principal Data Scientist, you'll lead teams and interact with C-suite executives. Prepare to discuss your leadership style and provide examples of how you've successfully managed teams or projects in the past, especially in a collaborative environment.
✨Ask Insightful Questions
Demonstrate your interest in the company and the role by asking thoughtful questions about their current AI initiatives, the tech stack they use, and how they envision the future of their products. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
