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Senior data scientist/machine learning engineer

About Intellify

Intellify is a data science, machine learning and artificial intelligence consulting company who helps our customers to increase growth, operate more efficiently and build competitive advantage. Our team consists of leading data scientists, machine learning engineers and product developers that extensively use advanced (statistical) machine learning and optimisation techniques to create state-of-the-art solutions for business needs. As an emerging AWS consulting partner, we have the ability to scale our solution to any needs through their cloud platform.

About the Opportunity

As we are growing at a rapid speed, we are seeking a senior full-time data scientist/machine learning engineer who has extensive experience in data science, machine learning and/or statistical modelling as well as programming. As part of this role, you will supervise and manage junior data scientists, and work on development to build data science solutions using a combination of the latest technologies and business strategies.

With a startup culture and applying cutting-edge technology to real-world business problems, you have the opportunity to drive impact at some of Australia’s leading startups and enterprises as well as to learn and grow within a team of like-minded data scientists. Our client problems have ranged from pricing, inventory and workforce optimisation to computer vision applied to radar data for predictive maintenance. The work is varied and challenging, and will require someone who is dynamic in their thinking as well as willing to explore and try new ideas.

Being a senior data scientist at Intellify you are charged with both being a mentor and learning from fellow specialist data scientists in an ever evolving and improving atmosphere. We want to see you thrive professionally and personally as we create a leading data science, machine learning and AI company of the future.

What we offer

This is a full-time permanent role. This role will provide a unique opportunity to work in a collaborative team and learn from experienced data scientists, so you can advance your knowledge and get hands-on experience with state-of-the-art machine learning methods. Our salaries are competitive, and we offer flexible working hours. We also believe great data science comes from great teams, so invest continuously in up-skilling and cross-training our data scientists, with lunch & learn sessions, training courses and certifications, and an opportunity to be a core part of our data science and machine learning communities. Furthermore, we offer the following:

1) 10 x paid days of professional development per year (attend/ speak @ conferences, undertake courses and certifications)

2) $2,200 Toolkit allowance to go out and buy your own tech

3) Profit sharing

4) Work with high-profile clients

5) A defined career path with your 1-1 mentor

6) Great team culture

7) Have an impact in a small team where there is no politics

8) Flexible & inclusive work-environment

9) Work closely with AWS using cutting edge cloud technologies.

Required Skills:

  • A computer science, robotics, maths, statistics, physics or related degree (graduated Bachelors, MSc, PhD or last year MSc/PhD student)
  • 5+ years of applied industry machine learning, optimisation and/or statistics experience
  • Strong Python or R programming experience and related data science libraries (such as scikit-learn, Pandas, Tensorflow/Keras)
  • Strong SQL database and code versioning (e.g., Git) skills
  • Good software engineering principles
  • Project management / team management experience
  • Experience with data visualisation tools or frameworks i.e. tableau, D3.js, ggplot2 etc.

Preferred skills:

  • Knowledge or experience of software engineering practices
  • Knowledge or experience on time series/product forecasting/recommender systems
  • Knowledge of deep learning/neural networks
  • Experience working with web development technologies
  • Experience working with cloud technologies i.e. AWS / Microsoft / Google Cloud.

Portfolio evidence of your previous work is appreciated (i.e. blog, github repository, conference presentations etc).

How to Apply

If you wish to take the next step in your career working and learning with the best, in an innovative data science company, please forward to an email with:

  • Your CV
  • Your portfolio of projects (eg GitHub, blog site etc)
  • Desired salary
  • Your availability
  • Brief details (3-4 sentences) of either:
    • A machine learning or data science project you have developed or delivered previously; or
    • Previous team leadership experience, where you worked with a team to deliver a project.

We are looking forward to hearing from you.



Please note that our Company Policy dictates direct recruitment only.

Title: Senior data scientist/machine learning engineer

Type: Full time/part time

Salary: $120-160k p.a. plus profit share after 3 months

Location: Sydney NSW 2000