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About the Role
We are seeking a Manager with deep Data Science expertise to join our Strategy & Consulting practice. This is a unique opportunity to combine technical leadership with strategic impact- helping organisations across industries harness data, AI, and analytics to transform how they operate and grow.
You will shape data-driven strategies, lead complex client engagements, and work closely with senior stakeholders to deliver measurable outcomes. While experience working with mining clients is highly valued, your skills will also extend across other industries, ensuring a broad and diverse portfolio of work.
What You’ll Do
Partner with C-suite and senior stakeholders to define how data and AI can address critical business challenges and unlock new opportunities.
Lead end-to-end delivery of consulting projects, from solution design and planning to execution and value realisation.
Contribute to pre-sales activities, including proposals, client workshops, and solutioning deals.
Apply advanced analytics, machine learning, and AI to design innovative, scalable solutions that drive business impact.
Collaborate with multi-disciplinary teams across strategy, technology, and industry to deliver integrated transformation outcomes.
Mentor and lead teams of consultants and data scientists, building capability and fostering a culture of excellence.
Bring strong **commercial acumen-**ensuring projects are delivered on time, within budget, and with tangible client value.
What You’ll Bring
- 12+ years of professional experience, with at least6–8 years applying data science and analytics in complex, business-facing environments.
- Demonstrated expertise in machine learning, predictive modelling, optimisation, and advanced analytics, with strong proficiency in tools such as Python, R, SQL, Spark, and cloud platforms (Azure, AWS, GCP).
- Proven consulting experience, with the ability to frame business problems, design solutions, and communicate insights to non-technical stakeholders.
- Industry exposure to mining clients (or similar asset-heavy industries) and an understanding of the opportunities for digital and data-driven transformation.
- A track record of contributing to business development, including pre-sales, solutioning, and client proposals.
- Strong **commercial and delivery acumen-**able to scope, lead, and execute engagements successfully.
- Leadership and people management skills, with experience guiding diverse teams and developing talent.
- Tertiary qualifications in Data Science, Analytics, Engineering, or a related discipline; postgraduate qualifications (MBA, Masters) are highly regarded.
Why Join Us?
- Work with leading organisations on projects that shape the future of industries through data and AI.
- Join a collaborative culture that values innovation, inclusion, and continuous learning.
- Access world-class training, certifications, and leadership development programs.
- Be part of a team that blends strategic consulting with cutting-edge data science to solve problems that matter.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
Visit us at www.accenture.com
Equal Employment Opportunity Statement for Australia:
At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.
As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000.
Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
Recommend to a Friend
Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Senior/L5
L2 · Data Scientist L2
0 reports
$14,221
total / year
Base
$5,688
Stock
$7,111
Bonus
$1,422
$9,955
$18,487
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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