Lead Data Scientist - Mining Sector (SaaS)

Michael Page; Indonesia; On-site; IDR 223,200,000 - 334,800,000; Full time

Benefits offered by this job

Opportunities for professional growth

Collaborative and supportive company culture

Job summary

A leading organisation in the energy sector seeks a Lead Data Scientist in Indonesia. This role involves developing advanced data analytics models and deploying machine learning algorithms to optimize operational efficiency. The ideal candidate should have a strong academic background in data science and proven expertise in machine learning. Successful applicants will enjoy a collaborative culture that values innovation and offers opportunities for professional development. A strong ability to communicate complex data insights clearly is essential.

Qualifications

• Strong academic background in relevant fields.
• Proven expertise in machine learning and statistical modelling.
• Experience managing and mentoring data science teams.
• Proficient in Python, R, or SQL.
• Familiarity with data visualisation tools.
• Excellent problem-solving and analytical skills.
• Strong communication skills for presenting insights.

Responsibilities

• Develop and implement advanced data analytics models.
• Collaborate with teams for data-driven decision-making.
• Design and deploy machine learning algorithms.
• Provide technical guidance and mentorship.
• Communicate findings to stakeholders.
• Ensure data quality and compliance.
• Stay updated on emerging technologies.

Skills

Machine learning

Statistical modelling

Predictive analytics

Problem-solving

Analytical skills

Communication skills

Education

Background in data science, computer science, or mathematics

Tools

Python

R

SQL

Job description

• A diversified local enterprise accelerating its digital transformation
• A Purpose‑Driven Focus on Sustainability and Positive Economic Impact

About Our Client

A leading organisation in the energy and natural resources industry, with a significant presence and a strong reputation for excellence. They are committed to innovation and sustainable practices while supporting a diverse and collaborative work environment.

Job Description

As a Lead Data Scientist, your main responsibilities will include:

• Developing and implementing advanced data analytics models to address key business challenges in the energy and natural resources sector.
• Collaborating with cross‑functional teams to identify opportunities for data‑driven decision‑making.
• Designing and deploying machine learning algorithms to optimise operational efficiency.
• Providing technical guidance and mentorship to junior team members.
• Communicating insights and findings to stakeholders in a clear and actionable manner.
• Ensuring data quality, security, and compliance with industry standards and regulations.
• Driving innovation by staying updated on emerging technologies and methodologies in data science.

The Successful Applicant

• A strong academic background in data science, computer science, mathematics, or a related field.
• Proven expertise in machine learning, statistical modelling, and predictive analytics.
• Experience in managing and mentoring data science teams.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with data visualisation tools and platforms.
• Excellent problem‑solving and analytical skills.
• Strong communication skills to present complex data insights to non‑technical stakeholders.

What’s On Offer

• Opportunities for professional growth and development within the energy and natural resources industry.
• A collaborative and supportive company culture that values innovation.