Senior Data Scientist
DWS Group Sydney, AustraliaSenior Data Scientist
DWS Group Sydney, Australia
Senior Data Scientist
DWS is seeking an experienced Senior Data Scientist to lead the delivery of high-value forecasting, optimisation and advanced analytics initiatives for a major enterprise client. This role will see you partnering with senior stakeholders, shaping business outcomes, building production-ready machine learning solutions, and providing technical leadership across distributed delivery teams. Based on a large-scale enterprise environment, you'll work across forecasting, predictive analytics, MLOps, optimisation and commercial decision support.
Where: Mascot, Sydney
Type: ACN Contractor or Max Term
Start: ASAP
Length: 6 months
Style: Hybrid; 3+ days onsite
Salary: Up to $1,000/day (ACN) or up to $220K (inc super) Max Term
Essential Skills and Experience:
About Us:
Since 1991, DWS has been helping organisations across Australia reimagine what's possible through technology, business, and management consulting. With offices in Melbourne, Sydney, Adelaide, Brisbane, and Canberra, our 300+ locally based consultants bring deep expertise and fresh thinking to every project. We deliver end-to-end solutions spanning IT consulting, Staff Augmentation, Managed Delivery, Data & Analytics, Cloud, AI and Automation.
Our strength lies in our people; each consultant is carefully selected for their expertise, creativity, and commitment to excellence. Together, we deliver impactful solutions that drive innovation, efficiency, and long-term value. At DWS, we don't just meet expectations - we redefine them.
Applicants must hold Australian Citizenship, Permanent Residency (PR), or other permanent work rights - DWS are unable to sponsor or support visas.
DWS encourages applications from Aboriginal and Torres Strait Islander peoples.
Ready for a new challenge? Click APPLY now!
www.dws.com.au
No agencies please - our in-house talent acquisition team have this covered.
Where: Mascot, Sydney
Type: ACN Contractor or Max Term
Start: ASAP
Length: 6 months
Style: Hybrid; 3+ days onsite
Salary: Up to $1,000/day (ACN) or up to $220K (inc super) Max Term
Essential Skills and Experience:
- Expert knowledge of Python, SQL and modern machine learning frameworks.
- Strong experience delivering forecasting, optimisation and predictive analytics solutions.
- Substantial experience deploying and supporting production machine learning models.
- Hands-on experience with Azure Machine Learning and cloud-based data platforms.
- Strong capability in feature engineering, model monitoring, explainability and model lifecycle management.
- Experience working with enterprise data warehouses such as Snowflake.
- Outstanding stakeholder engagement and data storytelling skills.
- Ability to translate analytical outcomes into operational and commercial decisions.
- Experience mentoring data scientists and providing technical leadership across distributed teams.
- Tertiary qualifications in a quantitative discipline or equivalent professional experience.
About Us:
Since 1991, DWS has been helping organisations across Australia reimagine what's possible through technology, business, and management consulting. With offices in Melbourne, Sydney, Adelaide, Brisbane, and Canberra, our 300+ locally based consultants bring deep expertise and fresh thinking to every project. We deliver end-to-end solutions spanning IT consulting, Staff Augmentation, Managed Delivery, Data & Analytics, Cloud, AI and Automation.
Our strength lies in our people; each consultant is carefully selected for their expertise, creativity, and commitment to excellence. Together, we deliver impactful solutions that drive innovation, efficiency, and long-term value. At DWS, we don't just meet expectations - we redefine them.
Applicants must hold Australian Citizenship, Permanent Residency (PR), or other permanent work rights - DWS are unable to sponsor or support visas.
DWS encourages applications from Aboriginal and Torres Strait Islander peoples.
Ready for a new challenge? Click APPLY now!
www.dws.com.au
No agencies please - our in-house talent acquisition team have this covered.
Job ID 1988619
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