Machine Learning Engineer Applied Scientist

About Ferocia

Were the team behind Up but under the hood were Ferocia - a passionate tech company driven by financial inclusion. Since 2011 weve been crafting innovative financial tools starting with the digital platform for Bendigo Bank. We believe technology can empower everyone from the advantaged to the disadvantaged which is why Up was born.

Now as part of the Bendigo and Adelaide Bank family we combine the agility of a small company with the reach and stability of a major player. Together were carbon neutral community-focused and dedicated to high standards of corporate governance. Our mission To leverage technology to help Australians move from financial stress and anxiety to a place of confidence and empowerment.

Want to join us Wed love to hear from you!

The role

Were looking for someone who thinks like a scientist and wants to learn to build automate and deploy like an engineer.

Youll join our Data & AI team: a small diverse group that builds and operates data products across the business. Fraud detection customer service automation intelligent query routing unstructured data analysis that kind of thing. Every person on the team brings a different background. What we all share is that we own our work from the initial idea all the way into production.

What were adding with this role is a new lens: quantitative research and behavioural science. Your understanding of how and why people behave the way they do will strengthen the entire teams ability to work on customer intelligence problems: identifying common attributes of our customers what drives their behaviours and how to better engage with them.

On a normal day you could be:

• Applying causal inference and inferential statistics to figure out whats actually driving customer behaviour vs. whats just correlated with it.
• Training evaluating and automating models that will integrate directly into our systems as live features.
• Translating model outputs into strategic recommendations ensuring that Customer Intelligence leads to measurable improvements in experience.
• Taking existing customer segmentation research and automating it into a scheduled pipeline that can be acted on and used beyond reporting.
• Partnering with our Customer Experience and Analytics teams to build the automated models and self-serve tooling that will elevate how the entire company understands and serves our customers.
• Growing your engineering skills. You bring at least a baseline of clean Python Git and SQL; well teach you our engineering standards and best practices to ensure your work scales seamlessly.

Where youll work: Melbourne (hybrid - in office when it matters WFH when you need focus time)

You should apply if

You have:

• Quantitative research chops.A postgraduate degree (or equivalent through industry experience) in a field where causal inference is core: econometrics biostatistics quantitative psychology computational social science epidemiology or similar. You know when a causal claim is defensible and you choose methods based on the question not the tool.
• 2-5 years in the industry applying quantitative methods ideally in a customer-facing or product context. Youve produced analysis that actually changed a decision.
• Strong inferential statistics.Hypothesis testing confidence intervals regression causal inference methods (diff-in-diff propensity score matching instrumental variables). Plus solid ML fundamentals: clustering classification predictive modelling and the judgment to know when a simple regression beats a deep learning model.
• Python and SQL proficiency.Experience with scikit-learn pytorch XGBoost or similar. You write code someone else can read and maintain.
• Engineering willingness. You dont need to be a software engineer today but you want to become one. Youre drawn to teams that build and automate not teams that just report. You see version control testing and code review as growth not overhead.
• Commercial instinct.You think in terms of decisions not just findings. So what is your favourite question. The complexities of a model are less important to you than how it affects customers.
• Communication skills. You can defend your methodology to a statistician and clearly explain the implications toa non-technical product manager. No jargon fog.

Bonus points for:

• Behavioural science background.Psychology sociology anthropology behavioural economics. Intuition about why people do what they do not just a model that predicts what.
• CX domain knowledge.NPS CSAT customer lifecycle Voice of Customer data.
• Experience with data technology. Big data analysis data pipelines orchestration ML model packaging and ML model serving.

Youll thrive here if you:

• Get excited by why is this happening more than what happened
• Want your segmentation model to actually do something in production.
• Like working in a small team where everyone knows everyones work.
• Think the best analysis is 30% technique 70% asking the right question.

This probably isnt for you if:

• You want to work in isolation and hand off a report.
• Automating and deploying your own work sounds like someone elses job.
• You need every research question perfectly scoped before you start.

How we work

Our tech stack:

• Data warehouse: BigQuery
• Transformation: dbt
• Orchestration & Infrastructure: Dagster Docker
• BI: Metabase
• Languages: Python SQL
• Collaboration: Slack Notion

Team structure:

• Youll report to the Technical Director of Data & AI.
• Youll work alongside ML Engineers and Data Engineers.
• Youll partner regularly with the Customer Experience team product managers and other teams across the business.

How we engage with other teams: We work in partnership with teams across Up on defined projects each season. Teams come to us with problems we scope them together and we build solutions that last. Its a two-way street as well - we actively search for systemic friction to remedy as well as commercial opportunities to exploit in our products. We collaborate we build and we deploy.

FAQs

Do I need to be a software engineer Not necessarily. However you should have an active interest in becoming one. Well invest in getting you there; our team is built for this.

Will I only work on CX projects No. Youll undertake customer intelligence work but youre a full member of the team. Youll contribute to projects across the business.

Do I need a PhD Not necessarily. If youve built equivalent depth through industry experience that counts. We care about what you can do not whats on your wall.

What if Im more of an applied scientist than an engineer Great. Thats what were looking for. Were hiring for your research brain and we can support your engineering growth.

Is this role remote Hybrid. Melbourne-based. We value getting together but we optimise for output not chair time.

Our salaries

As part of our commitment to a fairer workplace we internally publish salary bands. All of our offers will be within these bands and the final offer will depend on where within the level our assessment places you.

Our salary bands are as follows:

• IC4 (mid-level) pays from $125000 to $145000
• IC5 (senior-level) pays from $150000 to $170000

All listed salaries are base pay exclusive of superannuation and potential bonus equity (dependent on minimum tenure and group performance).

If you arent sure if this is the right role for you or youd like to have a chat with someone who works here first to ask any questions you might have send us an email at and well pair you up for a chat with an engineer or engineering leader.

Working at Ferocia

We have a hybrid work culture where people can attend the Ferocia office as much or as little as makes sense for them.

We offer:

• A small team of passionate people
• Generous leave and parental policy
• Flexible working schedule
• Great city office and perks (rooftop gym and personal trainer games)
• Budget for personal development training and conferences
• Employee Assistance Program
• Home loan rebates for our loans (conditions apply)
• Ongoing equity grants (conditions apply)

Not quite ticking every box Throw your hat in the ring anyway! At Ferocia were all about shaking things up and rewriting the rules. We thrive on diversity and inclusion and we wholeheartedly encourage you to step up and shine. Let us be the judge of your qualifications for this role you just might surprise yourself!

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