Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist (Large Language Models)

Cognism
Reading
2 days ago
Create job alert

WHO ARE WE

Cognism is the leading provider of European B2B data and sales intelligence. Ambitious businesses of every size use our platform to discover, connect, and engage with qualified decision-makers faster and close more deals. Headquartered in London with global offices, Cognism's contact data and contextual signals are trusted by thousands of revenue teams to eliminate the guesswork from prospecting.

OUR WORK MODEL

Remote or Hybrid: This can be a remote or hybrid role depending on your location and proximity to one of our local offices.

YOUR ROLE

As a Data Scientist, you will design and implement advanced models, drive innovation through machine learning and AI, and mentor team members. In this high-impact role, your work will directly shape Cognism's data-driven products and business strategies.

YOUR CHALLENGES & OPPORTUNITIES

  • Develop Advanced Models - Build and maintain sophisticated statistical and machine learning models that drive business decisions and integrate with enterprise systems.
  • Lead Innovation - Design and pilot cutting-edge predictive models and algorithms, testing scalability and implementing successful approaches into production environments.
  • Own Projects End-to-End - Scope, design, implement, and evaluate data science solutions independently, while keeping stakeholders aligned on progress and results.
  • Drive Business Value - Collaborate with cross-functional teams to identify opportunities where data science can make a measurable impact on customer experience or operational efficiency.
  • Mentor Team Members - Support and guide junior data scientists by sharing best practices, providing feedback, and contributing to an inclusive, knowledge-sharing culture.
  • Shape Data Strategy - Work closely with the Data Science Manager to prioritize projects and align outputs with strategic goals.

OUR EXPECTATIONS

  • Professional Experience - 3+ years in a data science role, with a strong track record of delivering impactful, production-ready solutions on Large Language Models (e.g., multi-agent systems, evaluation frameworks on LLMs models, distillation, small model fine-tuning, knowledge extraction).
  • Technical Expertise - Proficient in Python, Spark, and machine learning frameworks; strong understanding of statistical modeling and big data processing.
  • Cloud Proficiency - Experience with AWS tools such as S3, SageMaker Studio, Glue Jobs, and Athena is highly desirable.
  • Educational Background - PhD preferred in Data Science, NLP, Information Retrieval, Mathematics, or Statistics. A Master's degree with significant experience will also be considered.
  • Problem-Solving Ability - Strong analytical mindset with the ability to design practical, scalable solutions to complex problems.
  • Communication Skills - Comfortable explaining technical concepts to non-technical stakeholders and influencing decisions through data insights.
  • Collaborative Approach - Proven ability to work effectively in cross-functional teams and agile environments.
  • Publications - in IR related conferences (e.g., EMNLP, ACL, NAACL, EACL, LREC)

OUR TECH STACK

  • Python & PySpark - Build, test, and deploy machine learning pipelines using scalable data processing tools.
  • AWS Ecosystem - Leverage services like SageMaker, S3, Glue, and Athena for data engineering and ML model deployment.
  • ML Frameworks - Work with tools such as scikit-learn, TensorFlow, or similar libraries to experiment and optimize models.
  • Version Control - Use Git and CI/CD tools to manage code and streamline development workflows.
  • Data Visualization - Communicate findings with clarity using tools like matplotlib, seaborn, or business-friendly dashboards.
  • SQL & Big Data - Write efficient queries to extract insights from large, complex data sets.

WHY COGNISM

At Cognism, we're not just building a company - we're building an inclusive community of brilliant, diverse people who support, challenge, and inspire each other every day. If you're looking for a place where your work truly makes an impact, you're in the right spot!

Our values aren't just words on a page-they guide how we work, how we treat each other, and how we grow together. They shape our culture, drive our success, and ensure that everyone feels valued, heard, and empowered to do their best work.

Here's what we stand for:

We Are Nice! We treat each other with respect and kindness (because life's too short for anything else).
We Are Collaborative. We're in this together-great things happen when we work as one.
We Are Solution-Focused. Every challenge is just an opportunity in disguise.
We Are Understanding. We empower and support each other to do our best work.
We Celebrate Individual Contributors. Every role matters, and so do you!

At Cognism, we are committed to fostering an inclusive, diverse, and supportive workplace. Our values-Being Nice, Collaborative, Solution-Focused, and Understanding-guide everything we do, and we celebrate Individual Contributors. We welcome applications from individuals typically underrepresented in tech, so if this role excites you but you're unsure if you meet every requirement, we encourage you to apply!
#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Ad Campaign Performance

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.