Data Scientist

CORE ASSET LTD
Newcastle upon Tyne, UK
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Continuous Integration Data Validation Data Cleansing Data Governance Data Infrastructure Python (Programming Language) Software Deployment SQL Databases Cloud Platform System Information Technology Data Analytics
+2 more
Machine Learning Operations Software Version Control

Job description

  • Deliver end-to-end analytical solutions, including data preparation, modelling, analysis and insight generation.
  • Apply statistical, machine learning and AI techniques to address business requirements.
  • Develop and maintain analytical solutions using Python, SQL and modern data platforms.
  • Perform data validation, testing and quality assurance activities.
  • Translate complex analytical outputs into clear, actionable insights.
  • Monitor model performance and support ongoing model governance activities.
  • Contribute to MLOps practices, including deployment, version control and monitoring.
  • Support the development of reusable analytical assets, datasets and semantic models.
  • Ensure adherence to data governance, documentation and model governance standards.
  • Collaborate with business stakeholders, analysts and technology teams to deliver high-quality analytical solutions., At Core-Asset, we’re committed to protecting and respecting your privacy. Our privacy statement explains when and why we collect personal information about people who engage with our services, how we use it, the conditions under which we may disclose it to others, and how we keep it secure. We may change this policy from time to time, so please check this policy occasionally to ensure that you’re happy with any changes.

Requirements

Do you have experience in Software deployment?, * Degree qualification in a quantitative discipline such as Data Science, Mathematics, Statistics, Computer Science or Engineering.

  • Experience in a Data Science, Analytics or related role.
  • Strong analytical and quantitative skills with experience in data preparation, analysis and modelling.
  • Proficiency in Python and SQL.
  • Understanding of statistical, machine learning and AI techniques and their practical application.
  • Experience working with cloud-based data platforms.
  • Knowledge of MLOps practices, including model deployment, monitoring and CI/CD principles.
  • Experience validating analytical outputs and assessing model performance.
  • Understanding of data governance and working within structured data environments.
  • Strong communication skills with the ability to present technical findings to non-technical stakeholders.
  • Experience working collaboratively with multidisciplinary teams.

Benefits & conditions

  • A highly competitive salary
  • Wider Benefits package

About the company

Our client, a leading financial services organisation, is seeking a several Data Scientists to join its growing analytics function.

This role offers the opportunity to apply data science, machine learning and AI techniques to solve complex business challenges and support strategic decision-making. Working within a collaborative environment, you will develop analytical solutions that deliver meaningful insights and measurable business value across a range of business areas.

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