Total 24 Senior Executive regional recruitment lead job vacancies in Information Technology category in Australia

We are looking for a Senior Data Scientist to join our innovative team and lead key projects involving machine learning, time series forecasting and LLMs. You will have a solid mathematical foundation and proven experience in developing and deploying production-level code.

Key Responsibilities:

• Lead the design, development, and implementation of data science models, responsible for designing and delivering technically complex Data Science and Artificial Intelligence (AI) initiatives that produce significant business value
• Utilize advanced techniques in machine learning, deep learning, and causal inference to drive business insights and optimize performance.
• Collaborate with cross-functional teams to understand business needs and translate them into actionable data science solutions.
• Develop production-level code using Python, ensuring scalability and integration with cloud platforms such as AWS, GCP, or Azure.
• Use SQL and ETL processes to manipulate and extract data from relational databases.
• Communicate findings and insights effectively to both technical and non-technical stakeholders.
• Provide mentorship to junior team members and contribute to the overall growth of the analytics team.

The Successful candidate:

• Significant, demonstrable experience in data science or analytical roles
• You will have a track record of achievement in data science, analysis, applied statistics or machine learning
• Advanced Technical Skills: Expert-level knowledge of machine learning algorithms, model development, and deployment, with proficiency in at least one programming language (e.g., Python, R) and one database querying language (e.g., SQL). Experience with visualization tools like PowerBI is a plus.
• Business Acumen: Strong ability to align technical solutions with business strategy, and to communicate complex findings to senior stakeholders
• An academic background in statistics, mathematics, computer science, actuarial studies or similar is required
• You will have experience working in a cloud (AWS / GCP / Azure) environment
• You will have demonstrated clear and thorough logical and analytical thinking, as well as problem-solving skills and high attention to detail.
• Project Management: Experience in managing large, complex projects or multiple concurrent projects, including setting timelines, deliverables, and navigating resourcing challenges

Why Join Us:

• Work in a dynamic and innovative team driving real business impact.
• Opportunities for professional growth and development in a leadership role.
• Collaborative culture and cross-functional engagement with various teams and stakeholders.
• Competitive salary and benefits.

Data @ Open

At Open, we exist because we believe that Insurance is fundamentally an information and data business. Creating technology so that our customers can enjoy intuitive insurance experiences based on smart use of information and data is at the core of Open.

Our Data team thrive on solving problems to revolutionise insurance and have a ‘no excuses’ attitude when it comes to putting our customers first. Our high performing team specialise in Python, Snowflake, Airbyte and the latest AWS tools to support development.

What you'll do

We are looking for a Senior Data Engineer to be Open’s first data engineer on the ground in London and lead our expansion into the UK and Europe.

As aSenior Data Engineer, you’ll be responsible for the following:

• Evaluate data needs and objectives across the business
• Analyse and organise raw data to build data systems and pipelines
• Prepare data for prescriptive and predictive modelling by building algorithms and prototypes
• Combine raw information from different sources, data acquisition
• Develop analytical tools and programs
• Develop and maintain data systems (data warehouse, data lake etc.) and pipelines
• Monitor data pipelines ensuring performance metrics remain within acceptable limits, and continuously improving their efficiency, quality and transparency
• Develop and contribute to data pipeline documentation and guidelines
• Develop and manage external data feeds for partners in the UK
• Work closely with Product, Design, Data, and various stakeholders to deliver business and customer value each step of the way

As part of this role, we will support you to relocate to London, UK after spending your first 4-6 months with the team in Sydney preparing for Open’s launch into the UK and Europe.

This role is not just about technical expertise; it's about joining a team that's committed to transforming the insurance industry, making it simpler, more transparent, and accessible to everyone.

What you’ll bring

Ideally you will have:

• 5+ years of experience working with data
• Working experience with higher-level languages, Python and SQL. 
• Good understanding of building ETL/ELT data pipelines and data warehousing/reporting techniques
• Experience in data platform development on AWS. Data-driven, and a robust data backbone is necessary for our systems. We build on core AWS services such as EC2, S3, DynamoDB, SageMaker, StepFunctions, etc. and also on Snowflake
• Hands on experience with SQL database design
• Exposure to a wide variety of data sources beyond SQL Database, like accessing data through APIs, files, data streams etc.
• Experience in data modelling and domain-driven design
• Solid understanding of software engineering practices, design patterns and architecture paradigms and the ability to impart this knowledge onto those in your team
• Strong analytical and problem solving abilities
• Great communication skills, especially in explaining complex data problems and solutions. Also be a fantastic listener and a team player with a positive attitude
• Creativity and curiosity. Never stop learning new things and we love to be surprised with innovative solutions

Role location

This role will start in Sydney, Australia, with expectation to transition to London, UK after 4-6 months. Open will support the visa sponsorship needed for this relocation. For the successful candidate, please keep this in mind.

Why Open?

Open is on a mission to provide the best insurance experiences, at the best price, for the world. Insurance is one of the world’s least digitally mature industries - for years it’s remained confusing, paper-based and heavily intermediated. We launched in 2016 to build a global, AI-powered platform that digitises the entire insurance process, making it transparent, less costly and more reliable.

It's an exciting time to join Open and be part of a tech scale-up. We provide our team with:

• Highly competitive compensation, including share options - we believe in paying people what they're worth and having everyone in our company share in our success
• High levels of autonomy and trust so you can do your best work
• Growth opportunities internally - as you grow, your role can too
• Flexible working - we are about impact, not time at your desk.
• We encourage freedom and responsibility, including the ability to work from anywhere
• Annual allowance for professional development - use it towards a gym membership, professional coaching, a conference. Whatever matters most to you

We're proud to be an equal opportunity employer that celebrates diversity and are committed to providing an inclusive environment for all employees. Our culture is truly open, we're continuously challenging each other to live our values, and aren't afraid to raise questions when we fall short. Most importantly, Open is for those that want to create change and have an impact. If that sounds like you, apply for this role and let's build the future of insurance together.

Join our team of talented data engineers and take on the exciting challenge of designing, constructing, installing, testing, and maintaining highly scalable data management systems. Not only will you ensure our systems meet business requirements and adhere to industry practices, but you will also have the opportunity to integrate cutting-edge data management and software engineering technologies into our existing data structures. As a leader in our team, you will have the chance to mentor and guide junior data engineers, while ensuring data governance and security policies are followed. In addition, you will play a crucial role in monitoring the performance of our data processing systems to maintain optimal data accuracy. Embrace this opportunity to make a significant impact in the field of data engineering!

Key Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Integrate up-and-coming data management and software engineering technologies into existing data structures.
• Lead, mentor, and guide junior data engineers.
• Ensure compliance with data governance and security policies.
• Monitor the performance of data processing systems and data accuracy.
• Maintaining the Cl/CD system and code base as per the acceptable industry standard level
• Establish procedures to maintain a high QA standard
• Maintain the cloud architecture spread across multiple accounts
• Adopt new technologies while also using the expertise you have built on modern big data tools and cloud services

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• At least 5 years of experience in data engineering with a proven track record of designing and implementing complex data solutions.
• Strong programming skills in Python, with experience in developing robust, maintainable, and scalable data processing pipelines.
• Hands-on experience with CI/CD systems, automating workflows, and integrating data quality checks into the deployment process.
• Extensive experience with cloud services, preferably AWS, including the use of AWS data services and an understanding of Snowflake as a data warehousing solution.
• Versatile in working with various forms of data infrastructure, adept at managing both streaming and batch data systems.
• Solid understanding of data modelling, ETL (Extract, Transform, Load) processes, and data warehousing principles, with a commitment to high data quality and accuracy.

Fostering a collaborative, open environment that’s conducive to employee success is the #1 priority at TMGM.

• Growth Opportunities - We value your growth as much as we do ours, so we include educational and career growth opportunities at every level.
• People-First Values -We believe building a great company happens by hiring great people. Our employees’ job satisfaction always comes first.
• Shared Success - We offer revenue share opportunities for the right people, allowing our employees to share in company success.
• Worldwide Team - Our worldwide team means you’ll work with others from all over the globe and gain international experience.