Principal Data Scientist at Fidelity driving AI/ML innovations and solutions for financial growth. Collaborating cross - functionally to design and deploy advanced analytics and AI technology.
About the role
- Head of Data Platforms & Engineering at Pepperstone. Leading enterprise data strategy and overseeing global data teams in a fintech environment.
Responsibilities
- Lead and execute the enterprise data strategy and roadmap ensuring strong alignment to business goals.
- Evolve our data architecture from warehouse to lakehouse and beyond enabling scalable modern and future ready platforms.
- Drive the organisation’s shift toward data product ownership stewardship and data driven decision making.
- Build coach and inspire global teams across data engineering data platforms data systems and governance.
- Oversee and modernise data infrastructure tools and systems transitioning from legacy technologies to next generation solutions.
- Partner closely with senior leaders across the business translating complex data initiatives into clear compelling business narratives.
- Collaborate with AI business analytics and BI teams to strengthen foundational analytics and support enterprise wide insight generation.
- Ensure robust data governance regulatory compliance and alignment with our data protection obligations.
- Champion data literacy and foster a culture of curiosity engagement and continuous learning.
- Play an active leadership role in the broader technology organisation modelling Pepperstone’s values and leadership behaviours.
Requirements
- Bring 10+ years across data systems engineering or architecture roles and 5 plus years in senior technology leadership.
- Proven experience leading high performing globally distributed data teams.
- Deep expertise in modern data architecture and technologies such as Snowflake Redshift dbt Fivetran Airflow Iceberg and Alation.
- Hands on programming capability in languages such as Python Spark Scala or Golang for data engineering use cases.
- Strong background in streaming and event pipelines and integration patterns including Kafka Flink and APIs.
- Experience in regulated Financial Services or FinTech is highly desirable.
- Executive level communication and stakeholder influencing skills able to shape conversations negotiate priorities and build strong cases for investment.
- Strategic innovative and commercially minded leadership style.
- A passion for technology problem solving and enabling teams to move fast with confidence.
Benefits
- Competitive salary structure including company bonus scheme
- Genuinely collaborative and friendly culture
- Flexible and hybrid working
- Remote working option - work from anywhere for up to 6 weeks per year, in addition to hybrid working as standard
- Ongoing personal development & learning opportunities
- 15 weeks paid primary carers parental leave & 4 weeks paid secondary carers leave
- 3 paid volunteering days per year & Workplace Giving Program
- Frequent events and celebrations including a standard weekly social
- Beautifully renovated large office at Collins Square - 727 Collins Street, Melbourne
- Best in class end of trip facilities including bicycle parking, change rooms & showers
- A full stocked kitchen, onsite coffee machines with locally sourced coffee beans (this is Melbourne after all) and curated specialty teas
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior Data Scientist at Enklare owning end - to - end ML models from data to production. Working across data engineering, data science and backend systems for financial impact.
Senior Data Scientist focused on supply chain analytics at Emerson. Collaborating with cross - functional teams to enhance master data quality and drive operational improvements.
Data Scientist responsible for end - to - end analytical solutions for iA Financial Group. Collaborating with business partners to enhance value using data innovation.
Junior Product Analyst role supporting the Product Manager in a tech company. Involved in organizing tasks, gathering information, and ensuring alignment for efficient project flow.
Data Scientist transforming business process data into actionable insights for clients. Collaborating on process improvement projects using cutting - edge process mining tools.
Data Manager ensuring the integrity and reliability of environmental quality data for ERM. Overseeing data lifecycle and collaborating with teams to deliver high - quality datasets.
Data Science Analyst at Nomura developing analytics products and supporting digital transformation. Collaborating with various teams to leverage data insights for strategic decisions.
Senior Data Scientist & AI Engineer advancing RLD Foundation’s data strategy in a collaborative environment. Building data infrastructure and conducting analytics to support social impact initiatives.
SAP BRIM Data Scientist analyzing high - volume billing data for insights and optimization. Collaborating with teams to implement predictive models and ensure data security standards.