Data Scientist London
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Job Summary
Job Description
Data Scientist - Financial Services - London (hybrid / remote)
Overview
Are you passionate about leveraging data to drive impactful decisions Do you thrive in a collaborative and innovative environment We are seeking a dynamic and skilled Data Scientist to join our forward-thinking team. This is your opportunity to work with cutting-edge technologies solve complex business challenges and make a real difference in a company that values creativity diversity and inclusion.
#TeamCandour are working exclusively with a thriving global financial services partner as they embark on the development of a dedicated new Data hub to support their global operations from their London offices. The Data Scientist openings are part of the first phase of expansion and the start of what will be a remarkable transformation journey.
As well as a game changing career opportunity this organisation offer one of the most comprehensive benefits weve seen here including:
- Performance-related bonus based on company & personal performance
- 25 days of annual leave plus two additional company days.
- A four-week paid sabbatical after every five years of service.
- Private health & dental plans
- Financial support for gym memberships.
- Outstanding pension contributions
- 4x life insurance coverage.
Responsibilities
As a Data Scientist you will:
- Develop innovative approaches to business challenges by leveraging industry standards emerging methodologies and empirical research.
- Design and implement end-to-end data solutions working with diverse datasets (internal and third-party) to derive actionable insights.
- Apply advanced machine learning and statistical modeling techniques to solve complex problems.
- Collaborate with data scientists data engineers and pricing teams to enhance analytics practices across the organization.
- Contribute to the adoption of data science techniques in underwriting processes particularly within the Major Property team.
Qualifications
We are looking for a professional with:
- Experience in data science advanced analytics or a strong desire to learn.
- A proven track record of developing predictive and prescriptive analytics to inform business decisions.
- Proficiency in analytical tools and programming languages such as Python R and SQL.
- A keen interest in machine learning techniques from linear models to deep learning.
- A degree in a STEM field (preferred but not essential).
- Experience in finance insurance or e-commerce (advantageous but not required).
Day-to-Day
Your typical day will involve:
- Collaborating with cross-functional teams to understand business challenges and design data-driven solutions.
- Analyzing large and complex datasets to uncover trends and insights.
- Building and refining predictive models to support decision-making processes.
- Sharing your findings with stakeholders in a clear and impactful way.
- Staying up-to-date with the latest advancements in data science and applying them to real-world problems.
Curious Wed love to hear from youre ready to take your career to the next level and make a meaningful impact drop us a line to arrange a first informal conversation.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
