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Job Details

Location

Belfast, Northern Ireland

Closing Date

2020-04-03 22:40:00

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Data Analytics Engineer

  • Title: Data Analytics Engineer 

    Ref: 21/2/DAE

    Think Technology- Think Allstate

    We build solutions that touch 16 million customers on a daily basis.

    You will work alongside people as passionate as you, focused on delivering the best possible user experiences.

    You will work in a highly collaborative environment primed to adapt to an ever-changing landscape and which places technology solutions at its core.

    You will thrive, you will think differently, you will challenge convention and have the freedom to act with integrity, intention and speed; you will be at the forefront of developing capabilities in support of Allstate’s global business model; you will deliver results and you will leave things better than you found them.

    Location

    Belfast

    Job Description

    D3: Data, Discovery & Decision Science are looking for experienced Data Analytic Engineers.  Do you like to 

    • Design and build petabyte-scale data pipelines?
    • Determine appropriate solutions for the job?
    • Use varied technology platforms such as Apache Spark, Hadoop, Python, Scala or SQL?
    • Use mathematics? 
       

    Read on to find out more! 

    Research at Allstate 
      
    Allstate is one of the largest auto 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. 
     

    Our mission is to make Allstate a data-driven organisation. Data Analytic Engineers play an essential part in making this a reality. We’re looking for those with a passion for finding great solutions to complex problems, and enthusiasm for quickly learning whatever technology is right for the job.

    As a Data Analytic Engineer in D3, you’ll be required to collaborate with individuals across multiple disciplines & skillsets so exceptional communication is important.

    Responsibilities include (but aren't limited to):

    The D3 department is a central team that supports all areas of the enterprise. There are many R&D projects in progress, each with unique and complex data requirements. Here are just a few examples:

    • Distributed processing of real-time data streams from connected vehicles
    • RDBMS to distributed graph with Apache Spark (Scala) and Tinkerpop for fraud detection
    • Natural language processing for customer sentiment analysis
    • RDBMS to hierarchical json model with Python streaming on Hadoop creating master analytics data lake
    • Entity resolution with PySpark for customer retention modelling
    • Hive and Impala for data pipelines feeding extreme-weather risk models
    • Curation of image dataset for deep learning research on claim evidence 

    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 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. 

    Essential Criteria

    • Must be an EU citizen or possess a current UK Tier 1 Visa or Tier 2 visa and eligible to take up full time, permanent employment. EU candidates must also demonstrate they are eligible to take up UK employment post-Brexit.
    • Must be available for rotation (if not a promotion)
    • Must have good attendance and a clean disciplinary record
    • 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 

    Desirable Criteria

    • Proven experience in any of the following:

    o    Distributed computing or big data frameworks such as Spark, Mesos or Hadoop

    o    Linux and shell scripting

    o    Data formats such as JSON, XML, Parquet or Avro

    o    ETL software such as Ab Initio, Informatica or CloverETL

    o    The use of machine learning or statistics to solve real-world problems

    Apply Here: https://bit.ly/2w3XSRY 

    Closing Date:  Friday 3rd April 2020

    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.

Apply Now

Applications processed via employer's online application form