Senior Customer Data Scientist

💰 $4,560 - $7,296 (Est.) 📍 Mangere

Job Description

Ko wai mātou – About us
Foodstuffs is privileged to have an amazing brand portfolio, some of New Zealand’s best and most trusted. Foodstuffs New Zealand is a 100% New Zealand owned and operated organisation, made up of two regional co-operatives and a central ‘centre of excellence’ leading national marketing, corporate affairs, corporate social responsibility, sustainability, brand and customer experience strategies and activities. Foodstuffs New Zealand (FSNZ) partners with the broader business to ensure the creation of winning brands through customer experience design, actionable insight and rich data intelligence.
We’re a creative and passionate bunch that live and breathe our values of, success breeds success, teamwork makes the dream work, positivity with a purpose, crazy about customers and boundless creativity making us a great place to work.
Te Tūranga – About the role
This role plays a key part in transforming data into meaningful customer experiences. You’ll design and build machine‑learning and rules‑based models that unlock new, relevant, and engaging interactions with our shoppers. By applying your expertise in AI, machine learning, and business intelligence, you will help strengthen customer loyalty across the wider Foodstuffs business.
To do this, you’ll:
· Work collaboratively and cross functionally to leverage FSNZ’s rich data assets, to deliver robust logical and machine learning models which learn and target our customers at the right time, with the right offer and through the right channel.
· Develop, deploy and maintain predictive models (e.g. customer loyalty, churn modelling, next best action etc).
· Integrate and analyse large, complex datasets from both internal (e.g. transactions, loyalty, online behaviour) and external sources (e.g. market data, census).
· Drive experimentation design (A/B testing, uplift modelling) to measure the impact of interventions.
· Be the technical lead for complex data science projects, ensuring best‑in‑class methods
· Provide Foodstuffs with high quality data-based analytics, marketing intelligence and customer insight that provide clear and actionable outcomes.
· Develop data visualisation and capturing actionable insight and opportunities.
· Present insights to senior leaders incorporating compelling and commercial benefits of actions driven by data modelling.
Ngā painga - What we offer
We’re committed to providing awesome experiences for our people, including offering a range of benefits:
· Free carparking - we’ve got over 1,000 carparks including EV plugs
· Southern cross health insurance
· Onsite café with subsidised meals, mini mart, 5% discount at our retail stores
· Flexible working options, a day off on your birthday, long service leave
· Inhouse learning and development programmes and courses, flu vaccinations, and social network groups (we call them Tribes).
He kōrero mōu - About you
You’ll bring the ability to connect and integrate data from across Foodstuffs and our external partners to uncover high‑value customer targeting opportunities. Your insights will shape and develop customer targeting that align with and elevate Foodstuffs’ strategy.
You’ll also bring:
· 8+ years of data science experience applied within a business context, ideally in retail/ FMCG and customer/loyalty environments.
· Proven track record delivering data science solutions that create measurable commercial impact.
· Experience leading data science projects end‑to‑end, from scoping to deployment.
· You will be a proficient developer in R, Python or similar data science language.
· Extensive experience using leading BI tools like Tableau, PowerBI or Looker.
· A collaborative and supportive working style, be dynamic and responsive to fast pace and demanding organisation needs.
· Commercial acumen and customer‑centric thinking.
· Strong communication skills with the ability to make the complex analytics accessible to non-technical stakeholders.
We’re interested in your diverse experiences, your strengths and how adaptable you are to learn and grow. If you don't meet every requirement, but feel this role could be for you, we’d still love to hear from you!
Experience awesome. Achieve awesome. Be awesomely you.
We’re proud to have a focus on Diversity & Inclusion here at Foodies and welcome courageous behaviour, encourage togetherness, inspire our people to be their best selves in our Foodies whānau.
We encourage you to apply with all your awesomeness and welcome your diverse background, including any disability, additional health and mental health needs, and/or neurodiversity.
If you require accessibility support to ensure you can fairly access our recruitment process, please reach out to Recruitment.Foodstuffs @foodstuffs.co.nz. Accommodations could include, interview location, sign language interpreter, assistive technology.
Are you ready to be part of our bunch – apply now!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

💡 Quick Summary

Seeking a career-building opportunity? The Senior Customer Data Scientist position is now open for candidates interested in the Customer Care sector. This role in Mangere offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Customer Care is a plus.

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Job Details

Company Name: Foodstuffs North Island

Frequently Asked Questions

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The expected salary for Senior Customer Data Scientist in Mangere is $4,560 - $7,296 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Senior Customer Data Scientist is an on-site position based in Mangere. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Senior Customer Data Scientist. Previous experience in Customer Care is a plus. Freshers may also apply depending on the employer's requirements.
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