Principal Data Scientist -- Lead End-to-End ML & Mentorship

IC Resources
UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Google Cloud Machine Learning Operations

Job description

Job Description £100k Base + Bonus and a chance to lead a project in a skilled and growing team An exciting opportunity to work for a leading company with a significant presence globally as part of a growing London-based Data Science team. The company is known for their specialization in complex fields and they have built a reputation for using data science and analytics to improve not only their core business functions but also decision-making across the whole organisation.The role You will be an integral part of a skilled technical team with a focus on leveraging data science to support a wide range of business functions. As a Principal Data Scientist, you will be responsible for leading the end-to-end delivery of their most complex and impactful data science processes as well as being a driver in defining and upholding the business’ technical standards. Alongside the leadership of projects, you will also act as a mentor and coach for the growing team of junior and mid-level

Requirements

data scientists, helping them to elevate the overall capability of the team around you. 8+ years of expertise in the fields of data science and machine learning Expert-level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end-to-end data science solutions into production Leadership and mentorship capabilities to elevate team performance and technical quality High-level communication skills for effective stakeholder engagement and collaboration Cloud and modern tooling experience (e.g., AWS, Azure, GCP) is highly regarded Industry experience in finance or insurance is a plus, but not a requirement #J-18808-Ljbffr

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