Data Science Internship

Date Opened: Oct 8, 2021

Location: Belfast, GB

Company: Allstate Insurance Company

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

 

 

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 recognised 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 D3: Data, Discovery & Decision Science group has over 250 exceptional data scientists, data engineers and business analysts based in Belfast, Charlotte, Chicago, Seattle and Silicon Valley. It’s a great place to be if you’re interested in solving business problems using the concepts developed in your degree.

 

 

Example projects 

 

The D3 group is a central team 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 trees and 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 optimisation 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
  • Generalised 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.

 

 

 

Your role in the team

 

Each year we invite a small group of individuals to work with us for a few months. We look for those with a passion for finding great solutions to complex problems, and enthusiasm for quickly learning whatever techniques and technology are right for the job.

 

Successful candidates will avail of our hybrid work model during the summer of 2022 among more than 30 experienced data scientists and engineers and will work with a team that spans multiple locations. They'll learn about how data science techniques are used to solve business problems, then apply this knowledge on a challenging research project which will be of real value to Allstate.

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

 

Those who successfully complete their 12-week internship with Allstate Northern Ireland may be made offers of permanent employment with Allstate. These positions will be conditional and commence post-graduation and will be subject to the student securing a first-class classification in their BSc degree or a Distinction or equivalent in their Master’s Degree or PHD.

 

 

So, what are the essential criteria to apply?

 

  • All candidates must evidence an existing right to work in the UK
  • Must be eligible to travel to the US
  • First class degree (attained or expected) in a highly quantitative field such as mathematics, physics or computer science
  • In final year of a Bachelor’s degree OR
  • In final or penultimate year of a Masterʼs degree OR
  • In final or penultimate year of a PhD program

 

 

 

We also have some desirable criteria

 

  • Working towards a Master's degree or PhD in a highly quantitative field
  • Final year student
  • Proven experience in general purpose programming such as Python, Scala, Java or C/C++
  • Experience in any of the following:
  • Machine learning or statistics to solve real-world problems
  • Statistical software and libraries such as R, scikit-learn or MLlib
  • 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 optimisation

 

 

 

What we offer

 

  • A competitive salary
  • Extensive and thorough in-house training
  • A globally collaborative working environment
  • Invaluable work experience
  • Permanent offers may be available upon successful completion of the internship

 

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.

 

 

 

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