Senior Data Scientist
Auckland, New Zealand
2d ago
  • Work for one of NZ’s leading energy brands
  • Huge growth opportunity with current development of internal data science practice and people capability
  • Competitive remuneration and benefits package
  • Modern, vibrant offices Senior Data Scientist
  • Work for one of NZ's leading energy brands
  • Huge growth opportunity with current development of internal data science practice and people capability
  • Competitive remuneration and benefits package
  • Modern, vibrant offices
  • The opportunity :

    Dedicated to being at the forefront of innovation, this organisation is currently evolving its analytics capability by adopting advanced analytics techniques to underpin its current and future customer strategy.

    How you might ask? Through the augmentation of existing teams with data and analytics superstars, to lead the way in the organisation, bring fresh ideas and upskill others along the journey.

    With the goal of elevating the data practice and capability to the next level, you'll be a part of real, actionable changes within the business and see first hand the effect this has.

    As a Senior Data Scientist you will be instrumental in helping the team gain an in depth understanding of customers and the wider utilities markets.

    While this team will initially work with the retail and customer component of the business, successful outcomes from this work will open up future opportunities across multiple other business units ripe for transformation.

    Company profile :

    At this organisation you're not just an employee, you're part of something bigger, and something great. This team makes a real difference to New Zealand by doing new and exciting things with energy.

    Their goal is to be New Zealand's leading energy brand, where customer interactions deliver value and opportunities in a rapidly changing marketplace.

    With the addition of new power generation methods planned for 2020, they will become one of the few companies worldwide, and the only one in New Zealand, with an impressive repertoire of renewable energy - wind, geothermal, hydro and solar.

    From the second you walk in, to the moment you scoot away, take a look around the stunning offices and it's hard to miss.

    The colour, vibrance, collaboration, and energetic hum created by passionate people who care about what they do. Whether you're cycling an e.

    Bike to a meeting instead of taking the car, the list of perks available is enviable and unrivalled. As industry leaders both in their field and as an employer you'll be looked after and valued with a progression path as far as you can see.

    Role snapshot :

    Bringing an exceptional background in your technical field combined with experience in supporting the application of data science models in a commercial context, you will be looked to as a leader for all things data science related.

    Joining an existing analytics and data science team you will never be short of an opportunity to collaborate and bounce ideas off others.

    It goes without saying that you'll be the type who thrives on staying up to date with the latest in relevant technology trends.

    On the day to day you will utilise your capability across mathematics, statistics and machine learning to derive key insights across various parts of the business contributing to the company's strategy.

    You will work on complex data sets from some of their largest data science initiatives working on the enhancement and maintenance of models including customer segmentation, customer profitability, churn propensity and customer lifetime value models.

    To achieve this, you'll liaise with a diverse range of stakeholders working closely with internal teams across data analysis, data engineering and the wider IT department while also collaborating with third parties providing outsourced data, modelling and analytics.

    To be successful in this role you will need :

  • Senior data science skillset (3+ years) with a proven ability to technically lead and ideally mentor colleagues
  • Commercial business-facing project experience, including working in cross functional agile teams
  • Proven experience in applying data science methods to business problems
  • Strong presentation and communication skills, explaining complex analytical concepts to people from non-technical fields.
  • Programming experience at an advanced level in Python and SQL. SAS experience beneficial
  • Experience and interest in Cloud platforms
  • Excellent written and verbal communication skills, ability to present and able to clearly communicate complex solutions with the business
  • Experience liaising with a diverse range of stakeholders, influencing and gaining "buy in'
  • Apply
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