Manager – Data Scientist, Auckland

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  • Salary:
    negotiable / Monthly
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  • Posted:
    18 hours ago
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Manager – Data Scientist, Auckland


Requisition # AUC000YD

Post Date Feb 03, 2020

+ Work with iconic government and industry clients

+ Join an award-winning organisation recognised for its D&I initiatives

+ Be part of a high-performing,supportive culture

**About EY**


We are seeking capable ambitious people
to join our Data and Analytics practice to help us fulfil our EY purpose of
Building a Better Working World.

EY’s DnA team has demonstrated success in
delivering innovative solutions to clients across New Zealand and
globally. Our growth in New Zealand is strong and we are continuing our
work to build out team in Auckland a team that is bringing the very best of our
data and analytics capabilities and offerings to the clients we serve in New

Working in **Auckland** with our
high-profile clients across both the public and private sectors, as a **Manager – Data Scientist** , you’ll will
work as part of a broader DnA, Advisory and EY teams develop your skills and to
contribute to meaningful change for New Zealand and New Zealanders. We seek
hard working, experienced and technically capable data professionals who are
team players and who have ambition for themselves and the teams and clients
they work with.

We are seeking people with experience of large and
complex data science, migrations and a good handle on core analytics and
emerging technologies for this domain.
Successful candidates will be client and service centric, will be
experienced problem solvers and team leaders and ideally will have experience
succeeding when facing significant delivery challenges or issues in the past.

**Your keyresponsibilities**

+ Data scientist to assist with thedevelopment of the Azure machine learning pipelines to automate the documentcomparisons using Azure Data Bricks, Machine Learning and Cognitive Services.

+ Applying computer-aided statisticalmodelling to solve business problems.

+ Machine learning, data mining andinformation retrieval.

+ Extracting information from a widevariety of sources including quantitative, qualitative and big data sources.

+ Maintain strong partnership withbusiness leaders, stakeholders, users and partners to integrate programs intooverall strategic objectives.

+ Be a part of a culture that focuses ondelivering excellence for our clients and work with an awesome team of peopleto work with and access to cutting edge technologies.

**Skills andattributes for success**

+ Solid experience in development of the Azuremachine learning pipelines using Azure Data Bricks, Machine Learning andCognitive Services

+ Strong ability to communicate deepanalytical results in forms that resonate with the business collaborators,highlighting actionable insights

+ Entrepreneurial inclination to discovernovel opportunities for applying analytical techniques to business/scientificproblems across the company

+ Demonstrated experience in criticaldata science skills such as statistical analyses, advanced data visualization,data mining, and data cleansing/transformation

+ Working knowledge of Big Dataprogramming environments and Competency in major analytics software packagesand programming environments (e.g. Hadoop / Map-Reduce, Mahout; Python, R, Javaetc. in Big data paradigms)

+ Demonstrated experience in at least oneother of the following modelling software packages: MATLAB, R, SAS, or SPSS

+ Data visualisation experience – Tableau/ Power BI

+ Demonstrating your ability to adaptquickly and manage an environment of rapid change and development, and leadothers through this process

+ Knowledge and experience of all phasesof software development (including requirements analysis, design, coding,testing, defect management

**Who are Advisory?**

Our Advisory service line focuses on helping
clients to improve their performance and manage their risks more effectively.
From an improved finance function, enhanced supply chain, or superior customer
experience, EY teams are able to offer added value and turn our client’s
strategy into reality! This is why Advisory is the fastest-growing service line
and an energetic, fast-paced environment. Learn more about Advisory.

**What working at EYoffers**

Total Rewards package includes:

+ e.g. remote working,flexible start and finish times

+ career and learning development e.g., career mentoring

+ an extensive range of wellbeing and benefitofferings e.g. Salary packaging, parental leave and support, health checks

**Who we are**

is anoffering a vast range of internal
networks including Ability EY, our disability network, Unity, our LGBTI network
and our Aboriginal and Torres Strait Islander network enabling us all to
embrace and value the diverse society we live within. If you have any support or access
requirements, we encourage you to advise us at the time of application viaor +61 1800 017 666.

Make your mark. Apply Now!


preferred applicant will be subject to employment screening by EY or by their
external third party provider.

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