Zip

Data Scientist

Sydney, Australia
SQL Python Machine Learning Pandas NumPy
Search for More Jobs Talk to a recruiter now 💪
This job is closed! Check out or
Description

Data Scientist

  • 2+ years experience working as a Data Scientist, ideally within a product focussed organisation. Solid SQL and Python skills with a passion for leveraging machine-learning algorithms and sophisticated statistical techniques.
  • Work on our modern, best-in-class tech stack, with a team that have your back and enjoy a fun culture (think game nights and KBBQ!)
  • Ability to work flexibly, with two team-connect days in our Sydney CBD office each week. 

Write your story with Zip

Join Zip’s Technology function, responsible for building and maintaining seamless, secure and sustainable platforms that enable customers to shop with confidence and merchant partners to grow their brands. 

Our Customer Data Science team uses Machine Learning and AI to help create personalised experiences that millions of our customers love. 

Beyond a willingness to experiment and tackle complex challenges in the innovation space, core to this team’s success is our bespoke Recommendation Engine, which creates hyper-relevant experiences for the many Australians who choose to shop with Zip.

What you’ll own

  • Work on the development of AI chatbot to support our CX agents to move at Zipspeed!
  • Collaborate closely with cross-functional teams (primarily across Product and Marketing) to optimise various processes and in turn, enhance operational efficiency or improve the customer experience.
  • Analyse large, complex datasets using statistical methods to extract valuable actionable insights.
  • Support with the development of AI innovation solutions using the latest techniques and technologies (e.g. LLMs)

What you’ll bring to the team

Zipsters work on a broad range of initiatives, and our skills and experiences all look a little different. What really matters to us is that you’re a great fit with our four Values, and have a desire to learn and grow. 

So whether you bring some or all of the technical skills below, we’d still love to hear from you:

  • Proven experience as a Data Scientist or similar role (2 to 5 years of relevant experience)
  • Strong proficiency in programming languages such as Python, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
  • Solid understanding of statistical concepts and machine learning techniques, with hands-on experience in model development and evaluation.
  • Experience working with large datasets and proficiency in querying languages (e.g., SQL) is essential
  • Experience in using modern data stack for end to end data science & analytics (e.g. Databricks, Snowflake, DBT) would be highly desirable
  • Strong communication and collaboration skills, with the ability to effectively convey complex ideas to both technical and non-technical audiences
  • Our values in your DNA: Customer First, Own It, Stronger Together and Change the Game

What you’ll get in return

  • Team social events, epic offices, free breakfast daily, and weekly free lunches (Sydney & Melbourne)What you’ll get in return
  • As we write this next exciting chapter in our story, we will continue to move at pace and embrace change. For you, this might mean opportunities to learn new skills with hands-on experience, broader responsibilities, or the buzz of seeing your work impact customers faster.  
  • Zip is a place where you’ll get out exactly what you put in. When you join the team, we'll do our best to make sure you can be yourself and surround yourself with smart, friendly colleagues and leaders who have your back, so that you can make the big things happen.
  • Zipsters tell us these are just some of the best things about working here. You’ll also receive:
  • 25 days paid leave annually, including birthday leave and quarterly wellbeing days
  • 16 weeks paid parental leave for primary carers, and 4 weeks for supporting carers
  • Family support policies including miscarriage bereavement leave and domestic violence leave
  • Mental health and wellness initiatives, including $299 annual wellbeing allowance, free access for you and family members to our EAP service Sonder, discounted private health insurance, and great rates on fitness sessions through ClassPass
  • 2 days paid volunteering leave per year 
  • Fee-free Zip products, and discounts with Zip merchant partners (AU)
  • Team social events, epic offices, free breakfast daily, and weekly free lunches (Sydney and Melbourne)

Be a part of a team that reflects the diversity of our customers

We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique.

Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience.

And finally…get to know us

Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together.

Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants.

We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.

We are a proud 2024 Circle Back initiative employer and will respond to every applicant.

#LI-Hybrid

We are a proud 2024 Circle Back initiative employer and will respond to every applicant.

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 307 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers