Data Scientist - Newcastle - Asset Management
Oliver Bernard Ltd
Newcastle upon Tyne, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£50,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Big Data
Computer Programming
Data Cleansing
Information Engineering
Database Queries
Python (Programming Language)
Machine Learning
NumPy
Software Engineering
Model Validation
Generative AI
+3 more
Pandas
Information Technology
Performance Monitor
Job description
Data Scientist - Newcastle - Asset Management
Up to £50,000 + bonus
Hybrid Working in Central Newcastle
We’re hiring a Data Scientist for a global organisation operating at the intersection of data, analytics, and AI-driven decision-making. This is a highly influential role, sitting at the forefront of data science strategy and shaping how advanced analytics and AI are applied across complex, real-world problems in finance.
As Data Scientist, you will:
- Design, development, and deployment of models and algorithms into production
- Analyse large, complex datasets to identify patterns and trends, translating insights into actionable product recommendations
- Collaborate with global teams across product, engineering, and analytics to deliver high-quality, scalable solutions
- Establish and uphold best practices across data science methodologies, including data preparation, model validation, and performance monitoring
- Stay close to industry trends and emerging technologies, particularly in AI and GenAI
What we’re looking for
- Strong, proven experience across Data Science, with exposure to Data Engineering and/or Machine Learning
- Ability to operate autonomously within a global, distributed organisation
- Solid experience selecting and applying appropriate methodologies, technologies, and techniques
- Hands-on experience with data querying, manipulation, and analysis, including tools such as Pandas and NumPy
Nice to have
- Experience working with Generative AI tools and approaches
- Software engineering or programming experience, ideally in Python
- Advanced academic background in Computer Science, Data Science, or equivalent industry experience
Requirements
- Strong, proven experience across Data Science, with exposure to Data Engineering and/or Machine Learning
- Ability to operate autonomously within a global, distributed organisation
- Solid experience selecting and applying appropriate methodologies, technologies, and techniques
- Hands-on experience with data querying, manipulation, and analysis, including tools such as Pandas and NumPy
Nice to have
- Experience working with Generative AI tools and approaches
- Software engineering or programming experience, ideally in Python
- Advanced academic background in Computer Science, Data Science, or equivalent industry experience
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