Data Scientist

Data Scientist

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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Cognism

At a Glance

  • Tasks: Design and implement advanced models using machine learning and AI to drive innovation.
  • Company: Cognism, a leading provider of B2B data and sales intelligence in Europe.
  • Benefits: Remote or hybrid work options, inclusive culture, and opportunities for professional growth.
  • Why this job: Make a real impact on data-driven products while mentoring junior team members.
  • Qualifications: 3+ years in data science, proficiency in Python and machine learning frameworks.
  • Other info: Join a diverse community that values collaboration and celebrates individual contributions.

The predicted salary is between 28800 - 48000 £ per year.

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.

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

As a Data Scientist III (Information Retrieval), 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 Information Retrieval systems (e.g., recommender systems, search engines, vector-based search).
  • 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.

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.

Data Scientist employer: Cognism

Cognism is an exceptional employer that fosters a vibrant and inclusive work culture, where collaboration and innovation thrive. With a commitment to employee growth, you will have the opportunity to mentor others while working on cutting-edge data science projects that directly impact business strategies. Located in London, Cognism offers flexible remote or hybrid work options, ensuring a healthy work-life balance while being part of a community that values respect, kindness, and individual contributions.
Cognism

Contact Detail:

Cognism Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at Cognism on LinkedIn, and ask them about their experiences. A friendly chat can give you insider info and might even lead to a referral!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, Spark, and machine learning frameworks. Practice explaining complex concepts in simple terms—this will impress those non-technical stakeholders!

✨Tip Number 3

Show off your projects! Bring examples of your work that demonstrate your problem-solving abilities and how you've driven business value through data science. This is your chance to shine and show how you can contribute to Cognism's goals.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our awesome team at Cognism.

We think you need these skills to ace Data Scientist

Machine Learning
Statistical Modelling
Information Retrieval
Python
PySpark
AWS (S3, SageMaker, Glue, Athena)
Data Engineering
Data Visualisation
SQL
Big Data Processing
Problem-Solving Skills
Communication Skills
Collaboration
Mentoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Cognism. Highlight your experience with machine learning, Python, and any relevant projects that showcase your skills in information retrieval. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our mission at Cognism. Don’t forget to mention any innovative projects you've led or contributed to!

Showcase Your Problem-Solving Skills: In your application, be sure to highlight specific examples of how you've tackled complex problems in your previous roles. We love seeing candidates who can think critically and come up with practical solutions—so let us know how you've done this!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!

How to prepare for a job interview at Cognism

✨Know Your Stuff

Make sure you brush up on your technical skills, especially in Python, Spark, and machine learning frameworks. Be ready to discuss your past projects and how you've implemented advanced models or algorithms. This is your chance to showcase your expertise!

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical mindset and ability to design scalable solutions.

✨Communicate Clearly

Practice explaining complex technical concepts in simple terms. You'll likely need to communicate with non-technical stakeholders, so being able to break down your work into digestible pieces is key. Think of examples where you've successfully done this before.

✨Emphasise Collaboration

Cognism values teamwork, so be prepared to discuss how you've worked effectively in cross-functional teams. Share experiences where you collaborated with others to drive business value or mentor junior team members. Highlighting your collaborative approach will resonate well with their culture.

Data Scientist
Cognism
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