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Job Details

Category

IT Consultancy

Location

Belfast, Northern Ireland

Closing Date

2020-04-20 23:00:00

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Senior Data Scientist

  • Title: Senior Data Scientist

    Ref: 31/3/SDS 

    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 scientists.  Do you like to:

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

     

    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.

    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 many 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 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.

    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.
    • At least 3 years’ experience in a related field working with data science techniques such as GBMs, ensemble forests, GLMs, deep learning or graph mining in industry or postgraduate degree.

    Desirable Criteria

    • A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2:1 or higher (or equivalent)
    • Proven experience leading & managing analytical or data science-based projects
    • Proven experience implementing data science solutions into production systems
    • Proven experience leading & managing teams of technical individuals

     

    Previous applicants within the last 12 months need not appl

     

    Apply Here: https://bit.ly/39qmC4w 

     

    Closing Date:  Tuesday 21st 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