Job Description

Data Scientist - Bristol University Team

About the Role

LV=GI are creating a brand new team based at the University of Bristol, as a part of our growing and successful Data Science function, we are looking for a Data Scientist to become a key member of the team set up to develop and operationalise analytic solution for the group

The new team will be an integral part of a wider and supportive Data Science function made up of talented and diverse individuals including PhD graduates and data engineers.

The team will be responsible for driving the implementation of machine learning across the entire organisation with a focus on the delivery and realisation of customer benefits by building data pipelines and machine learning solutions.

Operating as a consultancy within the business, working closely with each department to create end-to -end solutions, the team is involved in all aspects of the project from data collection, to model building and model deployment.

To find out more about our partnering with Bristol University, please use the link below to the full press release:

https://www.lv.com/about-us/press/lv-partners-with-university-of-bristol

About You

We don't expect you to know everything from day one, but experience and knowledge in the following is useful to hit the ground jogging:

  • Solid knowledge of machine learning techniques including linear models, tree based methods
  • Experience in machine learning model deployment in a business setting
  • Knowledge of deep learning is a plus
  • Good command of Python or R and use pertinent libraries for data analysis and machine learning
  • Knowledge of Linux or distributed computing is a plus
  • Solid knowledge of Git for code version control
  • Relational databases and data manipulation skills in SQL and exposure to large scale “Big Data” environments such as Microsoft Azure
  • Proven experience of leading technical projects around large datasets
  • Ideally you will have a PhD or a masters plus experience in a highly numerate degree / career
  • Excellent stakeholder management skills,including communication, management of expectation, recommendations, quality of outputs, and working accurately to tight deadlines
  • Experience to build and maintain relationships both externally and with customers throughout the company
  • Proven experience in mentoring or managing technical teams in the use of technical software
  • Ability to convey technical concepts to a non-technical audience
  • Experience of Leading, managing and developing a team
  • Experience of managing the delivery of machine learning use cases

About the Rewards

This role is a Band C in the LV= Structure. To find out more about our bands, click to view our FAQ page here. We want you to love what you do that’s why we’ve put together a benefits package that recognises and rewards a job well done.

We’ll give you:

  • 30 days' holiday, with the option to buy up to 2 additional days
  • A competitive pension for which LV= will pay twice the amount you pay, up to 14% (please click here to read more about it)
  • An annual bonus scheme based on company and personal performance
  • Single cover private medical insurance which you can upgrade to family cover
  • A flexible benefits package (e.g. discounted retail vouchers, great value dental insurance, childcare vouchers)
  • A generous 25% discount off our general      insurance products including home, pet and travel.  Up to 50% discount on your car insurance and up to 20% discount from our life      products.

To find out more about our benefits and rewards, please click here.

LV= are an equal opportunities employer who value a diverse and inclusive working environment. We do not discriminate and we recognise and embrace that people work in different ways.

We value alternative viewpoints, celebrate individuality and foster a culture where everyone feels respected for their individual contribution and is able to bring their true self to work.

Here at LV= we always love to hear from great people, so don’t forget to follow us on Instagram, Twitter, LinkedIn and become a fan on Facebook.


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