Data Scientist (hybrid/remote)

• About Us

   

  The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good. 

   

  You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.

   

  Allstate operate a very flexible hybrid working policy that will allow you to design your working week in collaboration with your manager with a blend of remote and office working for NI based employees as well as condensed working patterns (4 day week/9 day fortnight) or other part-time working. Employees based in GB will be employed on a permanent remote working contract.

   

  Join our team and you’ll find challenge and reward in a culture of innovation, support and balance. 

   

   

  Location

   

  Belfast/ Derry – Londonderry/ Strabane/Remote from anywhere in the UK

   

   

  Your role in the team

   

  Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. 

   

  We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs. 

   

  This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.   

   

  Want to know more about our department and what we do? Hear what our team has to say about the roles and our work: https://www.youtube.com/watch?v=T6EC4FXe4Bw  

   

   

   

  Key responsibilities include:

   

  • Uses best practices, with coaching, to develop statistical, machine learning techniques to build models that address business needs and executes on modeling/machine learning projects effectively, contributing to a wide variety of projects
  • Communicates findings to team and leadership and ensures models are well understood and incorporated into business processes 
  • Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
  • Innovates on projects by using new modeling techniques or tools

   

   

   

  So, what are the essential criteria to apply?

   

  • All candidates must evidence an existing right to work in the UK

  AND 

  • Achieved a First class bachelor’s degree (or expected to achieve before summer 2022) in a highly quantitative field such as mathematics, physics or computer science with at least one year of experience in a related field

  OR 

  • Achieved a First class/Distinction or equivalent (or expected to acheive before Summer 2022) master’s degree in a highly quantitative field such as mathematics, physics or computer science

  OR  

  • A quantitative PhD 

  OR  

  • 2:1 degree classification or higher and at least two years of experience in a related field  

   

   

   

  We also have some desirable criteria

   

  • Machine Learning or statistics to solve real-world problems
  • Statistical software and libraries such as R or MLlib etc.
  • General purpose programming such as Scala, Java or C/C++
  • Distributed computing or big data frameworks such as Spark, Mesos or Hadoop
  • High performance and parallel computing such as openmp, MPI or GPU programming
  • High dimension discrete or continuous numerical optimization

   

  Previous applicants in the last 12 months need not apply.

   

   

   

  Process

   

  Applicants to this role will be required to complete a short technical assessment, you will need to be available from 19.00 on Wednesday 25th May.

   

   

  What we offer

   

  As Digital DNA’s Workplace of the Year 2020 & 2022 winners, we offer a generous benefits package that includes flexible annual leave entitlement, dental and healthcare insurance, an attractive pension package and discounts on gym memberships, public transport and parking.

   

  Allstate invests heavily in your development, as an employee you will have access to multiple world-class learning platforms and courses from our award-winning in-house Learning & Development team.

   

  We pride ourselves in providing clear career paths and opportunities for internal mobility allowing you to further develop within the organisation.

   

  We encourage a better work life balance and you’ll have the opportunity to apply for various flexible working arrangements.

   

   

   

  Statement on Fair Employment and Equal Opportunities

   

  Allstate NI wishes to ensure equal opportunity is given to all job applicants.  This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.

   

  We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit.

   

  Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.

   

   

  The closing date for receipt of applications is Monday 23rd May