Manager, Data Scientist – Auckland

  • Company:
    EY
  • Location:
  • Salary:
    negotiable / Monthly
  • Job type:
    Full-Time
  • Posted:
    18 hours ago
  • Category:
    General

Manager, Data Scientist – Auckland

Advisory

Requisition # AUC000YJ

Post Date Feb 17, 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**

**The opportunity**

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 Zealand.

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 key responsibilities**

+ Data scientist to assist with the development of the Azure machine learning pipelines to automate the document comparisons using Azure Data Bricks, Machine Learning and Cognitive Services

+ Applying computer-aided statistical modelling to solve business problems

+ Machine learning, data mining and information retrieval

+ Extracting information from a wide variety of sources including quantitative, qualitative and big data sources

+ Maintain strong partnership with business leaders, stakeholders, users and partners to integrate programs into overall strategic objectives

+ Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies

**Skills and attributes for success**

+ Solid experience in development of the Azure machine learning pipelines using Azure Data Bricks, Machine Learning and Cognitive Services

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

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

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

+ Data visualisation experience – Tableau / Power BI

+ Demonstrating your ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process

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

**Ideally, you’ll also have**

+ Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company

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

**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 here –

**What working at EY offers**

Our Total Rewards package includes:

+ formal or informal flexible working options e.g. remote working, flexible start and finish times –

+ career and learning development e.g. EY badges (), career mentoring

+ an extensive range of wellbeing and benefit offerings e.g. parental leave and support, health checks

**Who we are**

EY is an inclusive and equal opportunity employer () offering a vast range of internal networks including Ability EY, our disability network, Unity, our LGBTI network and our Māori 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 via contactrecruitment@au.ey.com or +61 1800 017 666.

Join us in building a better working world. Apply now!

#LI-ANALYTICS

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

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