Staff Data Scientist
Location:
London
Salary:
Negotiable
Job Type:
Permanent
Date Posted:
22 days ago
Expiry Date:
10/05/2024
Job Ref:
BBBH109445_1712754910
Start Date:
10/04/2024
Contact:
Morgan Beck
Contact Email:
morgan.beck@xcede.com
Specialism:
Machine LearningDataData ScienceAI & Machine LearningGenerative AINLPAI Engineering
Staff Data Scientist
Full time
£100,000 - £115,000 + benefits
London (Hybrid)
My client is a large global organisation looking to help make positive impact on the environment and they are looking for strong leaders to help contribute to this mission in their B2B digital function. This role will include working on improving the technical capabilities as well as managing stakeholder relationships
Responsibilities
- Collaborate with a diverse team of data scientists, data engineers, software engineers, data managers, and business partners as part of a cross-disciplinary effort.
- Work alongside data engineers and software engineers to develop scalable and impactful data science products, incorporating statistical and machine learning algorithms.
- Conduct thorough data analyses to extract valuable business insights.
- Provide data science best practices, including technical design, technical design review, unit testing, monitoring and alerting, code check-ins, code reviews, and documentation.
- Provide mentorship and guidance to team members.
Qualifications
- Must have extensive hands-on experience 6 years+ working fully end to end from modelling through to production and deployment
- Experience with A/B testing
- Possess in-depth applied knowledge of data science tools and approaches across all stages of the data life cycle
- Demonstrate thorough understanding of the underlying mathematical foundations of statistics and machine learning
- Strong experience of Python and SQL
- Previous experience with any of the following, Hadoop, Hive, and Spark
Unfortunately sponsorship isn't provided for this role
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Morgan Beck
Specialisms: AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering