National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Keller Executive Search
england, gb
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

Data Scientist / ML Engineer

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
National AI Awards 2025

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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

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.