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- Tasks: Lead the development of impactful AI products for a thriving B2B SaaS firm.
- Company: Join a successful 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 creating AI tools that drive revenue and enhance user experience.
- Qualifications: Proven experience in building AI tools that deliver commercial value, especially in prediction and forecasting.
- Other info: Work with a unique dataset and lead teams while managing external specialists.
The predicted salary is between 54000 - 84000 £ 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 Company
PE backed c. $100 million ARR B2B SaaS firm, looking to hire a Principal ML Engineer / Data Scientist to build data science and AI products to integrate 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 & 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 they leverage their proprietary data will help you articulate how your experience aligns with their needs during discussions.
✨Tip Number 2
Network with current employees or industry professionals who have insights into the company culture and expectations. This can provide you with valuable information that can be used to tailor your approach when engaging with the hiring team.
✨Tip Number 3
Prepare to discuss specific examples of AI tools you've built that generated commercial value. Highlighting your past successes in similar roles will demonstrate your capability to contribute effectively to their goals.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning, particularly in B2B contexts. Being able to discuss recent advancements or case studies can showcase your passion and expertise in the field during interviews.
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 products and data science tools. Focus on specific projects where you've created commercial value, especially in B2B environments.
Craft a Compelling Cover Letter: In your cover letter, emphasise your leadership skills and experience with AI and machine learning projects. Mention your familiarity with LLMs, time series modelling, and recommender systems to align with the job requirements.
Showcase Your Technical Skills: Include a section in your application that details your technical expertise. Be specific about the tools and technologies you’ve used, particularly those related to AI and machine learning, to demonstrate your fit for the role.
Highlight Impactful Achievements: When describing your past roles, focus on quantifiable achievements. Use metrics to illustrate how your contributions have led to increased revenue or improved efficiency in previous positions.
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 specific examples of projects where you've 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 impact the bottom line, be ready to explain how your previous work has driven revenue or improved efficiency for past employers. This shows 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.
✨Research the Company and Its Data
Familiarise yourself with the company's proprietary dataset and its significance in the marketplace. Understanding their unique position will allow you to tailor your responses and show genuine interest in how you can leverage their data to build impactful AI products.
