Data Scientist

3 weeks ago

Sevenoaks Kent, United Kingdom Harnham Full time

Data Scientist

Up to £70,000

Sevenoaks (Hybrid 3 days onsite per week)

Company:

This is a chance to join an experienced team to create impactful models and work with cutting-edge technologies. They aim to become the world's largest establishment providing services based on Machine Learning models in the Risk Space.

Responsibilities:

  • Apply data science and machine learning methods for forecasting, streamlining processes, and analyzing behavior.
  • 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, modeling, 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.

Requirements:

  • 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, Python.
  • Excellent communication skills and ability to engage with teams and colleagues.

How to Apply:

Register your interest by sending your CV to Emily Burgess via the Apply link on this page.

Keywords:

Data Science, Finance, Risk, Recommendation

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