Principal Data Scientist

Lorien
London
5 days ago
Create job alert

Lorien are currently working with a leading organisation that services academic & global institutes, R&D, health and medical sector.


We are supporting them in the recruitment of a Principal Data Scientist that will play a key role in driving the development of fast-paced experimental projects and Proof of Concepts (PoCs).


You will collaborate with multiple internal teams and external stakeholders to refine business strategies through innovative data science solutions. This role is integral to the success of cross-functional teams focused on shaping the future of technology solutions.


Responsibilities:


  • Work closely with internal teams across the organization to assess current data science and technology capabilities. Partner with business units to understand their strategic objectives and identify opportunities for innovation.
  • Lead the hands-on development of PoCs and experimental initiatives using a variety of technologies and advanced data science techniques. Form agile, cross-functional teams to rapidly validate concepts with end-users and refine strategies.
  • Serve as a subject matter expert in the field of Data Science and Advanced Technologies, including AI, Machine Learning, and GenAI. Keep the team updated on the latest industry trends and advancements. Present findings to senior leadership and at company-wide events.
  • Cultivate relationships with key stakeholders within client organizations, particularly in regulated industries. Identify challenges and opportunities within their technology ecosystems and provide expert insights on trends and solutions.
  • Assist in transitioning successful PoCs and experimental projects into production-ready solutions. Encourage and support cross-functional teams to accelerate time-to-market for impactful innovations.
  • Contribute to the creation and evolution of strategic technology roadmaps. Help guide the technology vision for the business and support the execution of key initiatives.


Experience:


  • A solid engineering background, with deep expertise in AI/ML technologies.
  • Practical experience in developing and supporting production systems as either a software developer or data scientist.
  • Proven leadership experience in managing teams to deliver complex, high-impact solutions, particularly across international and distributed teams.
  • Demonstrated success in implementing and integrating advanced data science technologies, including AI/ML and GenAI, into production environments.
  • Strong cross-functional communication skills, including stakeholder management and the ability to present technical insights at the executive level
  • Proficiency in Python and experience with additional languages and technologies such as Java, LangGraph, knowledge graphs, vector search, and no/low-code frameworks.
  • Familiarity with cloud platforms and tools such as AWS Sagemaker, Databricks, Snowflake, or similar.


The role is based on a hybrid basis at their Central London office.

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist - Remote

Principal Data Scientist (Hiring Immediately)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.