Data Scientist
We exist to create positive change for people and the planet. Join us and make a difference too! Data Scientist (Innovation) Cambridge, United Kingdom – Hybrid 2 days/week in office. About The Role As a Data Scientist within the Innovation team, you will work as part of a small, but experienced team, working to drive maximum value from a deep and diverse range of data, using innovative technologies and techniques. You will partner with internal and external stakeholders, colleagues and professionals to collect and leverage data, and help craft innovative solutions to problems, while helping BSI to continue to build trust and step into deeply digital ways of working. Responsibilities
- Use data science techniques to progress the digital evolution of BSI product offering (Generative-AI etc.).
- Mine and analyse BSI wide data to drive optimisation and improvement of product development, marketing techniques and business strategies.
- Conduct end-to-end analysis that includes scoping, data gathering, ongoing deliverables and presentation.
- Develop and present demonstrations and pilots to communicate the opportunities present by data science analysis in BSI.
- Engage with data owners across the organisation to identify data science opportunities to ethically leverage BSI business data and drive solutions.
- Maintain a portfolio of tools and technologies to ensure that BSI is prepared to leverage a diverse range of both structured and unstructured data and continually assess their efficiency and accuracy.
- Use predictive modelling to increase and optimise business outcomes and services to clients.
- Stay up to date with latest technology, requirements and methods and conduct research to develop prototypes and proof of concepts.
- Look for opportunities to use insights, datasets, code and models across other functions in BSI.
- Strong statistical analysis skills.
- Extensive knowledge of Python (preferred) or R.
- Knowledge of predictive modelling techniques.
- Strong script/coding skills.
- SQL Database experience.
- Previous experience with Cloud Software (Azure/AWS).
- Understanding of risk, ethics and compliance in relation to AI and technology.
- Strong verbal and written skills.
- Ability to translate and communicate technical language to non-technical stakeholders.
- Previous experience in reviewing others code.
- Experience with Databricks.
- Hands-on AI technology experience.
- Azure Dev Ops experience (managing data science tasks etc).