As a Data Scientist - Classifications Model Specialist at Shift, you will play a pivotal role in maintaining and evolving our classification models. You’ll be responsible for ensuring their continued success through performance monitoring, updates, and collaboration across teams. Your work will directly impact how we leverage data to drive business decisions and optimise our systems.

What you’ll do: 

• Maintain and enhance the performance of classification models through regular updates and monitoring.
• Support updates to model architecture, training sets, and model validation.
• Build and implement monitoring capabilities to effectively track model health.
• Develop and document processes to ensure smooth and consistent operations.
• Collaborate with data science, engineering, and operational teams to align on classification needs and improvements.   

We are embarking on an HR system implementation across Nine. We are looking for a Senior Workday Developer / Integrations Specialist to work closely within our Technology team to deliver a series of initiatives that will be critical to set this program up for success. This is for a six month contract with the potential of extending the role to support the design, development and deployment of the system.

Day to day you will:

• Document the detailed current & future state systems landscape of the in scope processes, including building an understanding of current state integrations.
• Work with system owners and the business to detail the integration requirements for the Workday implementation.
• Work with the Technology team to get Dev and Test environments ready for critical upstream and downstream systems.
• Engage with stakeholders at different levels, across various business units to gain business knowledge and translate this into key deliverables.
• Work collaboratively with the People & Culture team to defi ne the outcomes required and develop an approach to deliver against this within a defi ned timeframe.
• Work collaboratively with all Business units to understand and document their current state HR processes and be able to clearly capture varying requirements and needs across the BUs.
• Support the project team and business, building a trust relationship with ability to influence.

Position: Senior Product Manager (Technology Consulting, Business Analysis)
Location: Sydney, Australia
WorkStyle: Sydney Hybrid based
Simple Machines. Data Engineered to Life™

Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes.

About You

We are looking for a consultant-minded individual who is passionate about working closely with clients to solve complex problems and lead them on a journey from discovery to technical implementation. You have a knack for understanding client needs and delivering market-leading solutions and have worked in Technology Consulting | Business Analysis | Software Development

You will love and excel in this role if you:

• Have a strong background in Technology Consulting, played a Senior Manager role within a top-tier consulting company.
• Have a refined understanding of how modern software is built and delivered (tools, methodologies, roles, common challenges etc.)
• A demonstrated knowledge of different methods and tools that help you to perform analysis, testing, product management and delivery in a range of environment
• Know how to effectively communicate information between people at all levels of the business, in written and verbal form
• Have a passion for accruing knowledge, and using that knowledge to continuously improve yourself and the team’s performance
• Personal interest in best practice and trends of the technology industry, with the ability to apply these to your day-to-day work
• A relationship builder by nature, and someone who can thrive in new teams and new situations
• A proactive person who knows what needs to be done, how to approach it, and how to influence others to move things forward
• An ambitious person who is excited about the prospect of joining a small, close-knit ANZ team of experts and helping it to grow

The Exciting Part

Simple Machines is not your average consultancy or software engineering firm. Our team is comprised of inspiring industry leaders in Consulting, Data Engineering, Machine Learning, and Artificial Intelligence. Our projects, for a global client base, are data-focused and drive real change.

About the Role

We are looking for someone to join our close-knit team of experts to help deliver our client engagements as we scale our ANZ business. If you excel in client facing roles, have a deep understanding of how modern software is built and delivered, and have a passion for technology then we’d love to hear from you.

Here’s a brief overview of the role’s responsibilities:

Drive the engagement

• Understand each clients’ unique business needs, the ‘why’ behind each project and develop solutions that will fulfil each clients’ success criteria
• Act as a translator between business teams and technology delivery
• Develop domain expertise unique to each engagement

Feed the engineering team

• Provide high quality written requirements, acceptance criteria, feature overviews, test cases and other artefacts for the team to work from
• Run effective meetings with team and stakeholders

Drive the team’s direction

• Clearly articulate the business needs and work with the tech team to translate these into technical requirements
• Persuade the client and the SM team on what should be done and why

Increase the team’s speed

• Understand and anticipate dependencies in software delivery
• Enable decision making through excellent communication

Assure the team’s focus

• Protect the engineering team from day to day ‘noise’
• Embed and optimise processes to handle our scope of work and new demand

Assure SM’s position with the client

• Build and nurture relationships with clients at all levels
• Help to manage SM’s delivery risk