Data Scientist

Harnham
Sevenoaks
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

Data Scientist

Data Scientist

DATA SCIENTIST

£70,000

HYBRID - SEVENOAKS


We are on the lookout for a Data Scientist to join an experienced team to create impactful ML models and work with cutting-edge technologies. Our client aims to become the world's largest establishment providing services based on Machine Learning models in the Risk Space.


ROLE:

  • Apply data science and machine learning methods for forecasting, streamlining processes, and analysing behaviour.
  • Conduct analyses to endorse or discover fresh projects, products, and business prospects, including presenting findings and recommendations to senior leadership.
  • Assume responsibility for the model validation and assessment process.
  • Proactively pinpoint areas within the organization where Analytics can provide insights or streamline operations.
  • Serve as an in-house consultant, interpreting user requests and, when appropriate, proposing improved or alternative approaches to achieving desired outcomes.
  • Continuously explore and investigate novel tools and techniques for analysis, modelling, data exploration, and presentation; proposing and implementing them as suitable.
  • Regularly utilize Python, T-SQL, and Excel.
  • Contribute to the documentation of fundamental processes and protocols.
  • Remain open to the possibility of learning and using additional tools and languages as per the evolving needs of the team and business.


Your Skills and Experience:


  • MSc or PhD level education in STEM subjects.
  • Proven expertise in implementing Machine Learning and clustering techniques.
  • Strong commercial experience with Python and data visualization, and proficient knowledge of Python, R, and Scala.
  • Previous commercial exposure to tools such as Keras, TensorFlow, and Python.
  • Excellent communication skills and ability to engage with teams and colleagues.


If this role looks of interest, please reach out to Joseph Gregory

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.