Data Scientist (hybrid)

Date Opened: Oct 8, 2021

Location: Belfast, GB

Company: Allstate Insurance Company

 

Title: Data Scientist (hybrid)

 

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). 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/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
  • 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

 

 

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.

 

 

 

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 Friday 12th November 2021