SENIOR DATA SCIENTIST

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SENIOR DATA SCIENTIST

Up to £85,000 + Bonus

SEVENOAKS

Ready to elevate your career to new heights? Join an experienced team to create impactful models and work with cutting-edge technologies. The aim to become the world's largest establishment providing services based on Machine Learning models in the Risk Space.

The Role

Your day-to-day responsibilities will include:

• 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.
  
  

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

Benefits

• Competitive salary range of £85000.
• Outstanding career progression opportunities.
• Flexible working arrangements.
  
  

How To Apply

Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.

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