Principal Data Scientist at Faculty driving innovation in machine learning and AI solutions for clients. Mentoring teams and leading high - impact projects within a hybrid work environment.
About the role
- Data Scientist at Zurich driving data-led decision-making and collaborating with stakeholders. Engaging in AI/ML techniques to support business strategies and improve data usage.
Responsibilities
- Driving data-led decision-making in our business
- Collaborate with stakeholders to help them understand how data & AI can assist
- Assist colleagues in setting strategy for activities using data & AI
- Use AI/ML and data science techniques to reduce manual work
- Promote an automation-first mindset
- Use data to tell compelling narratives and communicate in simple language
- Ensure that high standards of code development are met
- Work with the business teams to build knowledge and confidence with data
Requirements
- Strong analytical, structured, and interdisciplinary way of thinking and working
- Enthusiastic to work on problems which have never been attempted before
- Proficient in Python and modern software development practices
- Experience using SQL and working with databases
- Comfortable working with a variety of data sources, both structured and unstructured
- Experience working with LLMs to deliver value in a commercial organisation
- Experience working with cloud technology, ideally Microsoft Azure and/or AWS
- Proven track record of development and deployment of machine learning algorithms
- Excellent collaboration and organisation skills
- Proficient communicator
Benefits
- 12% defined non-contributory pension scheme
- annual company bonus
- private medical insurance
- option to buy up to an additional 20 days or sell some of your holiday
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist developing advanced data analytics solutions for financial crime detection at Morgan Stanley. Collaborating with cross - functional teams to implement analytics solutions in a hybrid work environment.
Senior Data Scientist focused on pricing strategies at Americanas with a notable presence in Brazil. Engaging in statistical modeling and predictive analytics for commercial planning.
Contract Data Scientist developing and validating the company's first Marketing Mix Model in London. Transforming data into actionable insights to drive growth for strategy and creative teams.
Senior Data Science Analyst at Dotz developing predictive models for credit management. Responsible for validating and monitoring statistical models and evaluating financial impacts.
Product Analyst managing cost reduction proposals within EDAG's automotive engineering team. Collaborating across technical areas and supporting cost - saving project initiatives.
Data Scientist for College Board leveraging data analysis and machine learning to improve educational outcomes. Collaborating with teams to develop machine learning solutions and insights.
Data Scientist at Genmab focusing on advanced analytics and machine learning solutions. Partnering with domain experts to embed data - driven decision making in biotech.
Data Scientist role at LYNX focusing on data - driven solutions in finance using Python and SQL. Responsibilities include managing knowledge gathering and predictive modeling to address business challenges.
Data Manager at Bromcom, leading data - cleanse and enrichment programmes for marketing and sales. Collaborating with teams to ensure data quality and effectiveness.