Clinical Scientist jobs in United Kingdom
Data Scientist / Model Developer - Commercial Lending
Equifax UK
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Aspire
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Data Scientist / Model Developer - Commercial Lending
Job summary
A leading analytics firm in London is seeking a Data Scientist to join their Product Analytics & Innovation team. The role involves developing analytical solutions and statistical models using advanced techniques and cloud-based technologies. The ideal candidate should possess a strong programming background, expertise in machine learning, and the ability to communicate insights effectively. Competitive compensation and opportunity for professional growth are offered.
Qualifications
- Proficient in programming to manage and analyze large datasets.
- Experience with machine learning algorithms and statistical models.
- Ability to communicate complex data insights to stakeholders.
Responsibilities
- Lead the execution of analytical and consultancy projects.
- Design and develop complex modeling assignments using data.
- Collaborate with stakeholders to understand their analytical needs.
Skills
Education
Tools
Organisation Equifax UK – London, UK. Application Deadline: 24 days remaining.
Come join the Equifax UK Product Analytics & Innovation team and develop market-leading scores, models and analytical solutions using the latest cloud-based technologies, techniques and tooling. Be part of a growing and diverse team tasked with creating the next generation of statistical models, machine-learning algorithms and AI-based products and services.
As an Equifax Data Scientist, you will play a pivotal role in the Product Analytics & Innovation team. You will work closely with internal clients and stakeholders to proactively understand their challenges, propose and develop solutions and lead the execution of analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with stakeholders and will manage multiple analytics and consultancy projects.
Our Data Scientist roles are unique. The ideal candidate is a rare hybrid; a scientist with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. He or she will combine these skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Want to know more?
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.