Data Scientist

Keller Executive Search
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - active NPPV3 required

Keller Executive Search is currently looking for a talented Data Scientist to join their dynamic team. In this role, you will harness the power of data to derive insights and support key business decisions across a range of strategic initiatives. You will be responsible for utilizing advanced statistical methods, machine learning algorithms, and data visualization techniques to tackle complex data challenges.

Your work will involve working with large datasets, conducting analyses, and presenting findings to stakeholders, enabling them to leverage data in their decision-making processes.

Key Responsibilities:

  • Analyze and interpret complex data from diverse sources to inform strategic business decisions.
  • Develop and implement machine learning models and statistical analyses to solve business challenges.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business growth.
  • Visualize data through intuitive dashboards and reports to effectively communicate findings and insights to technical and non-technical stakeholders.
  • Stay updated on industry trends and best practices to continuously enhance the team’s analytical capabilities.
  • Write clear documentation on methodology, model interpretations, and implementation strategies.

Requirements

  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field; a Master's degree is preferred.
  • Proven experience as a Data Scientist or in a similar analytical role.
  • Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy).
  • Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib).
  • Solid understanding of statistics, probability, and data-driven decision-making.
  • Experience working with databases (SQL) and data warehousing solutions.
  • Strong problem-solving skills and ability to work collaboratively within a team environment.
  • Excellent written and verbal communication skills, with the ability to effectively present complex information.
  • Proficiency in English; knowledge of additional languages is a plus.
  • Experience in a specific industry sector relevant to the business is desirable.

Benefits

  • Remote Work
  • Permanent Position
  • 30-Day Paid Leave
  • 5-Day Work Week
  • A competitive salary, reflective of your experience
  • Health insurance coverage

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.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.