Data Scientist

BSI
Cambridge, United Kingdom
Last month
Applications closed

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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, experienced team 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 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.

To be successful in the role, you will have

  • 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.

It is not required, but would be advantageous for you to have

  • Previous experience in reviewing others' code.
  • Experience with Databricks.
  • Hands‑on AI technology experience.
  • Azure Dev Ops experience (managing data science tasks etc.).

Benefits

Grow your career and expand your skills and knowledge. At BSI, we offer opportunities to work across industries and across the globe. You’ll benefit from the different perspectives and experiences of your international colleagues, as well as ongoing training and development. We offer flexible working, as well as 27 days’ annual leave, paid sick leave, bank holidays, health insurance, life insurance, pension plan with company contribution, car allowance (dependent on role), income protection, paid maternity leave, paid paternity leave, paid parental leave, adoption leave, compassionate leave, paid bereavement leave, learning and development opportunities, and a wide range of flexible benefits that you can tailor to suit your lifestyle.


D&I Policy

The world needs fresh thinking and new perspectives to tackle its biggest challenges. It’s why, at BSI, we’re committed to creating a collaborative environment where everyone can contribute. Whatever your background, experience or outlook, here you can be your best self and do your best work.


If you have a disability or a health condition, please let us know if you need any reasonable adjustments to the recruitment process.


About Us

BSI is a business improvement and standards company and for over a century BSI has been recognised for having a positive impact on organisations and society, building trust and enhancing lives.


BSI is an Equal Opportunity Employer dedicated to fostering a diverse and inclusive workplace.


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