Senior Data Scientist

Company:  BCT Resourcing
Location: Brighton
Closing Date: 28/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Senior Data Scientist
Brighton / Hybrid


Are you a Senior Data Scientist looking for your next career move and challenge?

Our client specialising in Life insurance operating at a Global scale are looking for a Senior Data Scientist to join their expanding team,

This role will be a fundamental position in the team and also gives the opportunity to manage teams moving forward.

My client are offering great progression opportunities and benefits alongside having the opportunity to work with the latest technology,

Responsibilities:

* Understands business problems and designs end to end analytics use cases
* Acts as a change agent with ownership mindset over business problem
* Develops complex models and algorithms that drive innovation throughout the organisation. This may include improving on-time performance, network planning, etc..
* Conducts advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
* Provides coaching and insight on analytic approaches and can objectively weigh trade-offs of different analytic methods
* Guide data engineering efforts to ensure alignment with future data science needs
* Provides guidance to business leaders and data engineering function highlighting data integrity risks
* Collaborates with analytics engineers to implement and deploy scalable solutions
* Provides thought leadership by researching best practices, conducting experiments and collaborating with industry leaders

Experience:

* Deep knowledge of machine learning, statistics, optimization or related field
* Experience with R or Python is required. Background in programming in C, C++, Java is beneficial. Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch is beneficial.
* Experience working with large data sets, simulation/ optimisation and distributed computing tools (Map/ Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
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