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- Tasks: Design and prototype innovative AI algorithms to analyse complex human language data.
- Company: Join a pioneering deep-tech AI data platform with a remote-first culture.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Make a real impact by transforming messy data into actionable insights for global clients.
- Qualifications: Strong background in statistical inference, machine learning, and NLP required.
- Other info: Be part of an early-stage team backed by specialist AI funding.
The predicted salary is between 60000 - 85000 £ per year.
You will bridge the gap between statistical inference and large language models to turn complex human language into reliable, quantifiable insights. Working directly with the CTO, you will design experiments and prototype algorithms that move beyond off-the-shelf tools to create a statistically rigorous foundation for analyzing large-scale audience data.
Location: Remote
Why this role is remarkable:
- Invent and validate novel methodologies at the frontier of NLP and statistical inference rather than just implementing standard RAG patterns.
- Join an early-stage team backed by a specialist AI fund and prestigious deep-tech grants, moving from prototype to production scale.
- Solve a high-impact, meaningful problem by making messy human data transparent, reproducible, and actionable for global enterprise clients.
What you will do:
- Design and prototype Python pipelines that integrate statistical frameworks with machine learning and large language models.
- Collaborate directly with the founders and enterprise clients to ensure analytical rigor and scalability in real-world deployments.
- Explore and implement methods for AI reproducibility and auditability to protect against hallucinations and ensure consistent quality.
The ideal candidate:
- Possesses a strong academic or professional background in statistical inference, machine learning, NLP, and experimental design.
- Demonstrates experience pushing methodological boundaries to turn theoretical insights into well-designed, production-ready software pipelines.
- Thrives in early-stage environments and is motivated by the challenge of making unstructured human data trustworthy and impactful.
Applied Scientist (£70,000-£85,000) at Deep-tech AI data platform employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist (£70,000-£85,000) at Deep-tech AI data platform
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and team dynamics. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice makes perfect! Run through common interview questions and prepare your own questions to ask. This not only boosts your confidence but also shows you're engaged and ready to contribute.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even lead to referrals, which are golden in job hunting.
✨Tip Number 4
Don’t forget to follow up! After interviews, send a quick thank-you note to express your appreciation. It keeps you on their radar and shows your enthusiasm for the role.
We think you need these skills to ace Applied Scientist (£70,000-£85,000) at Deep-tech AI data platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied Scientist role. Highlight your experience with statistical inference, machine learning, and NLP. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about bridging the gap between human language and data insights. Let us know how you can contribute to our mission at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, make sure to showcase them! Whether it's designing Python pipelines or experimenting with AI methodologies, we love seeing real-world applications of your skills.
Apply Through Our Website: Don't forget to apply through our website! It's the best way for us to keep track of your application and ensure it gets into the right hands. Plus, Jack will be there to support you every step of the way!
How to prepare for a job interview at Jack & Jill
✨Know Your Stuff
Make sure you brush up on your knowledge of statistical inference, machine learning, and NLP. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in designing experiments or prototyping algorithms.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past. Think about specific challenges you've faced with unstructured data and how you made it actionable. This will demonstrate your ability to thrive in early-stage environments.
✨Familiarise Yourself with the Company
Research the deep-tech AI data platform and understand their mission. Knowing their recent projects or methodologies can help you tailor your responses and show genuine interest in their work.
✨Ask Insightful Questions
Prepare thoughtful questions for the interviewers, especially about their approach to AI reproducibility and auditability. This not only shows your enthusiasm but also your understanding of the challenges they face in the industry.
