Lead Data Scientist

2 months ago


Perth, Western Australia Capgemini Full time

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their businesses by harnessing the power of technology. Recognized by Ethisphere as one of the World's Most Ethical Companies for the last ten years in a row, we are a diverse, values-driven organization of over 325,000 team members in more than 50 countries. Now is the time to join our Australian and New Zealand businesses as we rapidly expand - purposefully investing in specific technology capabilities whilst designing and driving integrated strategies and solutions across our business lines. This is an opportunity to be at the forefront of finding new ways technology can help us reimagine what's possible, and collect unique career experiences with global clients and game-changing tech projects.

About the Team

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 62,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast-evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms. The Group reported 2023 global revenues of €18 billion.

About the Role

We are seeking an experienced Lead Data Scientist to join our team, help our mining clients optimize their material identification and tracking processes, and support the growth of Capgemini's data and AI capabilities. The successful candidate will leverage advanced analytics, machine learning, and data visualization techniques to enhance efficiency and accuracy with our natural resources clients.

Key Responsibilities

  1. Lead teams of data scientists, analysts, and engineers, providing mentorship and guidance on projects and throughout their career.
  2. Lead the development and implementation of data-driven solutions for our mining and natural resources clients.
  3. Collaborate with mining engineers and geologists to integrate geological data into analytical models.
  4. Support business development and pre-sales in Data and AI services within Engineering & Operations of our clients.
  5. Communicate complex analytical findings to both technical and non-technical stakeholders.
  6. Lead the creation and maintenance of data pipelines for continuous data collection and processing from various sensors and equipment.
  7. Apply data science and machine learning techniques for predictive maintenance, material recognition & tracking, asset & site operations, engineering, and product R&D.

Requirements

  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field preferred.
  • 5+ years of experience in data science, with at least 2 years in a leadership role.
  • Proven experience applying machine learning and statistical modeling techniques to real-world problems.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with big data technologies such as Hadoop, Spark, snowflake, or similar.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of image processing and computer vision techniques.
  • Experience with SQL and NoSQL databases.

Preferred Experience

  • Experience in the mining industry, natural resources, or related fields (e.g., geology, geophysics) and understanding of the associated processes and operations.
  • Familiarity with IoT sensors and data collection in industrial settings.
  • Knowledge of GIS and spatial data analysis.
  • Knowledge of computer vision, spectral analysis, RFID tracking, and GPS tracking techniques.
  • Experience with cloud computing platforms (AWS, Azure, or GCP).
  • Experience in a consulting and professional services environment in proposal development.

Preferred Skills

  • Advanced analytical and problem-solving skills.
  • Strong leadership and team management abilities.
  • Excellent communication skills, both written and verbal.
  • Ability to translate complex technical concepts to non-technical audiences.
  • Project management experience.
  • Adaptability and willingness to learn about mining-specific challenges.

What's in it for you

At Capgemini, we help you get the future you want not only in your career but for your life, and your wider community. Here's how:

Bring your whole self to work

We create a safe place for our people to be themselves and truly belong at Capgemini. We are big on being active allies for everyone, celebrating special events and days of significance important to our people and instilling a genuine curiosity about one another. We actively champion our community groups like OutFront, Reconciliation Action, parents and carers, and Neurodiversity to name a few.

Benefit from learning for life

We offer a huge variety of in-person and digital learning courses, partnering with leading providers like Pluralsight, Harvard Management, Harvard Spark, and Coursera, offering external certifications and opportunities for you to grow.

Have flexibility to work your way

We aim to build an environment where everyone can enjoy a positive work-life balance. We champion remote working – even though you'll want to check out our beautiful offices – and are in the process of making 'truly flexible' working arrangements the day-to-day reality for our people.

Contribute to society

We offer opportunities to use your skills to help society address the impact of the digital and automation revolution. Our CSR (Corporate Social Responsibility) program provides opportunities to give back to not-for-profit and social enterprise organizations aligned to our values. We also help our clients move towards more sustainable business models and are committed to becoming a net zero business by 2030.

Comprehensive Benefits Program

This includes EAP, access to a medical network, financial assistance for relevant tertiary education, study leave, salary continuance insurance, and an extensive discount and rewards program.

Committed to equal opportunities for all

We work to recruit and retain a talented and diverse workforce. We strongly encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status, or age.


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