Data Scientist - Newcastle - Asset Management

Oliver Bernard

Newcastle upon Tyne

Hybrid

GBP 45,000 - 55,000

Full time

14 days+

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Job summary

Oliver Bernard is hiring a Data Scientist in Newcastle, England, offering a salary of up to £50,000 plus bonus. The role involves designing models, analyzing complex datasets, and collaborating globally. Ideal candidates have proven Data Science experience and familiarity with tools like Pandas and NumPy. Additionally, skills in Generative AI and programming in Python are advantageous. The position supports hybrid working arrangements in Central Newcastle.

Qualifications

  • Strong, proven experience in Data Science with exposure to Data Engineering and/or Machine Learning.
  • Ability to operate autonomously within a global organization.
  • Solid experience in selecting and applying methodologies, technologies, and techniques.
  • Hands-on experience with data querying, manipulation, and analysis.

Responsibilities

  • Design, develop, and deploy models and algorithms into production.
  • Analyze large datasets to identify patterns and trends.
  • Collaborate with global teams to deliver scalable solutions.
  • Establish best practices across data science methodologies.
  • Stay updated with industry trends and technologies.

Skills

Data Science
Data Engineering
Machine Learning
Data querying and manipulation
Pandas
NumPy
Generative AI
Python programming

Education

Advanced academic background in Computer Science or Data Science

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
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