Senior Data Scientist
Auckland
KPMG New Zealand
KPMG is a global network of professional firms providing Audit, Tax and Advisory services.Our people experience is anchored in a clearly articulated purpose of ‘Fuelling New Zealand’s prosperity’ and our contribution to the shared wealth and lasting well-being for all New Zealanders. In order to deliver this, we must attract, develop and retain the very best people and create a workplace environment in which everyone is able to flourish. We are proud of our reputation for values-driven behaviour that guide our actions and defines what it means to work at and be part of KPMG. We believe in Integrity – We do what is right; Excellence – We never stop learning and improving; Courage – We think and act boldly; Together – We respect each other and draw strength from our differences; and For Better – We do what matters.
Digital Consulting combines technology consulting with deep technical experience across a range of technology, areas and services. Our advisors combine extensive knowledge of data and analytics, cyber security, software development, IT strategy and operating models to provide clients with a service that adds recognised value.
The Opportunity:
- We are seeking a Senior Data Scientist to join our Data & Analytics team within One Digital Consulting. In this role, you will leverage your expertise in data science to deliver impactful insights and solutions for a variety of clients. You will work on challenging projects, collaborating with cross-functional teams to solve complex problems and drive data-driven decision-making.
Day to day you will:
- Work with large and complex datasets to solve a variety of challenging problems using advanced analytical and statistical approaches.
- Develop, validate, and deploy machine learning models to address business challenges.
- Collaborate with stakeholders to understand business needs and translate them into data science solutions.
- Build and maintain robust pipelines for data processing and model deployment.
- Mentor junior data scientists, providing guidance on technical approaches and career development.
- Communicate findings and recommendations effectively to both technical and non-technical audiences.
What you’ll bring:
- 3-5 years of experience in data science, preferably with a consulting background.
- In-depth knowledge of statistical and machine learning models and their practical applications.
- Proficiency in Python and SQL, with the ability to deliver production-ready code in well-tested CI/CD pipelines.
- Familiarity with cloud platforms, particularly Azure.
- Experience with end-to-end model development, including deployment and maintenance.
- Strong communication skills, with the ability to tackle loosely defined problems and present solutions clearly.
- Experience mentoring junior data scientists to help them succeed.
- Familiarity with reporting tools such as Power BI, Tableau, or Qlik.
Life at KPMG
KPMG values diversity in the workforce and we encourage candidates from diverse backgrounds to apply for roles, including individuals with a disability, additional mental health needs, chronic health conditions or who identify as neurodivergent.
For disabled and neurodiverse candidates, if you encounter accessibility barriers or if you have access needs and require support to participate equitably in the recruitment process, please phone Enya van Dulm on 04 816 4660 or email KPMGAccessibilityNetwork@kpmg.co.nz
We offer rewarding careers to talented individuals and a holistic range of benefits to support your life balance, whatever your circumstance. We want you to do Work That Matters, Thrive and Grow and know that you Belong here with us, at KPMG.
As a KPMG employee, we will offer you: — Access to the firm's annual incentive scheme— Opportunities for local and international secondments— Hybrid working across a mix of office, client and home hubs to recognise that people have individual circumstances and preferences when it comes to where and how they work— The ability to work from overseas and extend time connecting with friends and family outside New Zealand— Flexible leave options, including the ability to purchase additional annual leave— Gender-neutral support for all stages of the parental journey, including access to 18 weeks of fully paid parental leave for all new parents — A paid professional association membership of your choice— Digital accreditations through our partnership with Microsoft, LinkedIn Learning, with bespoke learning pathways for all employees— A wide-range of special offers and discounts on insurances, banking services, and lifestyle goods and services— The support, allyship and opportunity to join our many Inclusion, Diversity and Equity Affinity networks, including the Kiwa, Pride, Ethnicity, Accessibility and Wahine groups— The opportunity to participate in Green Team activities, as we work toward reducing the firm’s environmental footprint and become carbon zero by 2030— An invitation to join your local Social club and enjoy events aimed at bringing people together for social, sporting, cultural, family and fundraising activities— Paid time off for volunteering and involvement in citizenship activities— An array of health and wellness benefits such as free flu vaccinations, subsidised sporting events, free confidential counselling services, additional 5 days of Wellbeing leave to support you and your family's overall health and wellness, access to our Wellbeing portal with an extensive range of advice and resources and much much more! We believe that diversity of background and experience strengthens relationships and delivers meaningful benefits to our people, clients and communities. Our goal is to be recognised as an employer of choice for all, irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability. Further info can be found on our website.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Banking CI/CD Consulting Machine Learning ML models Model deployment Nonprofit Pipelines Power BI Python Qlik Security SQL Statistics Tableau
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Parental leave Team events
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