Data Scientist (hybrid)

• About Us

   

  At Allstate Northern Ireland, we believe it’s more than just a job.  We believe in allowing our people to choose the direction of their careers.  It’s about you, your future and where you want to get to.

   

  Opportunity is the hallmark of the Allstate career experience.  We invest heavily in our employees, offering long term career development, personal growth and investment in new technologies.  Every day is different, with new ideas, challenges, and rewards — no matter which team you join.

   

  We believe that inclusive diversity is crucial to creating a culture of mutual respect where the strengths and talents of each individual are recognised.  We like to leave things better than we found them and deliver results.  We do all of this while having fun and exploring personal passions.

   

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

   

   

  Location

   

  Belfast/Londonderry/Derry/Strabane

   

   

   

  Your role in the team

   

  Research at Allstate

   

  Allstate is one of the largest car and home insurers in the US, serving more than 16 million households and earning over $35 billion in revenue annually. We’re also widely recognized as one of the best places to work in Northern Ireland. At Allstate, we’re on a mission to use data, math and machine learning to directly shape every aspect of how we operate. 

   

  Of course, when working with hundreds of millions of data points, computer science and programming also play an essential role. The research group has over 100 exceptional data scientists based in Belfast, Charlotte, Chicago, Seattle and Silicon Valley. It’s a great place to be if you’re interested in solving business problems, actually using the math you’ve learnt (like linear algebra, calculus, stats and probability), and programming.

   

   

   

  Example projects

   

  D3: Data, Discovery & Decision Science is a central department that supports all areas of the enterprise. At any given time, there will be tens of R&D projects in progress. Here are just a few examples:

   

  • Kernel smoothing of spatial data for weather risk modelling
  • Gradient boosted treesand logistic regression for predicting probability of customer defection
  • Supervised and unsupervised graph mining for fraud detection
  • IoT: Unlocking the value in data generated from connected vehicles
  • Modelling business objectives as high dimension constrained numerical optimization problems
  • Deep neural networks for classification of photographic claim evidence
  • Natural language processing for customer sentiment analysis
  • High performance distributed data pipelines with Apache Spark
  • Generalized linear models for predicting claim frequency and severity
  • Bayesian methods for credibility and change point detection

   

   

  The environment

   

  We are a research group: we work on long-term projects; we read scientific papers and textbooks; we talk about ideas; we explore new programming languages; we huddle around whiteboards; we try out the latest machine learning algorithms; we think about what the company should look like next year and in five years.

   

  And we get things done: we develop the next generation of products; we crank out code; we do scrum and agile; GitHub and Jenkins; code reviews and sprint reviews. We invest heavily in cutting-edge software and hardware and encourage experimentation: we count CPU cores by the hundred and RAM by the terabyte. We use and contribute to open source software and work mainly on linux.

   

  • Solve difficult problems
  • Use mathematics
  • Write code
  • Work with lots of data

   

   

   

  So, what are the essential criteria to apply?

   

   

  • All candidates must be able to demonstrate their right to work in the UK
  • First class bachelor’s degree in a highly quantitative field such as mathematics, physics or computer science with at least one year of experience in a related field

   

  OR 

   

  • First class/Distinction or equivalent 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
  • Previous applicants within the last 12 months need not apply

   

   

   

  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

   

   

   

  What we offer

   

  As Digital DNA’s Workplace of the Year 2020 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.

   

   

   

  Apply Here: https://bit.ly/3nhazAS 

   

   

   

  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 Tuesday 21st September 2021