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.
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.
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.