Find The RightJob.
Are you driven by the power of data and inspired by real-world impact? Do you want to apply cutting-edge tech to one of the world’s most transformative industries? IntelliSense.io is looking for an exceptional Applied Data Scientist to bring our next-generation models to life across flagship projects in the Kingdom of Saudi Arabia.
At IntelliSense.io, we’re not just building AI — we’re pioneering Objective AI (ODAI), a breakthrough approach that blends fundamental physics with artificial intelligence to truly understand the physical world. Our technology acts as the “brain of the operation”, empowering people with role-specific AI co-pilots and enabling autonomous decision-making across the mining value chain.
With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia — a global leader in mining development under Vision 2030.
Technical leadership within a diverse, interdisciplinary team
Fostering a healthy, stimulating work environment that promotes teamwork and collaboration
Taking on ownership of implementation/execution of deployments at customer sites
Designing and specifying approaches for achieving modelling aims
Upholding high standards of rigour and ensuring quality work
Working with poor, noisy and/or limited data
Applying various mathematical, statistical and machine learning techniques to challenging problems
Rapidly developing ideas and iterating towards production
Communicating approaches and results to customers and colleagues
Cooperating with our Product Team and working with our partners
Identifying market opportunities, new technologies and approaches which can benefit our product and our customers
Breaking down high-level requirements into tasks with clearly defined completion and success criteria
Working on tasks assigned in the team
Supporting the recruitment, onboarding, and mentoring of new team members
This role is for someone who
Enjoys working with a diverse team of colleagues from different backgrounds
Celebrates the success of others and supports their progress and development
Digs deeper into problems and can help others to find solutions
Shows curiosity and an inquisitive approach to problem solving
Is comfortable working with remote colleagues around the world
Wants to stretch themselves beyond their comfort zone
Shows an openness to using whatever tool is best suited to a given problem
Appreciates how important friendly and empathic communication are in a fast-moving, diverse, and distributed team
Physical and empirical models of complex processes and equipment
Machine learning prediction and inference models
Configurable optimizers producing real-time recommendations
Rigorous treatment of uncertainty and errors in physical and machine learning models
Bayesian reconciliation of imprecise measurements
Robust treatment of challenging data sources and messy data
Fluency in both English and Arabic is essential.
Willingness to travel regularly to mining sites across Saudi Arabia and internationally. A valid driving licence is required due to the remote locations of client operations.
Openness to travel to the United Kingdom for extended training periods, particularly during the onboarding phase.
Competitive salary and benefits package in line with local market standards
Remote-first and flexible working model
Generous paid time off (annual leave and public holidays per Saudi Labour Law)
Paid parental and sick leave
A chance to be part of Saudi Arabia’s mining transformation and contribute to Vision 2030
A fast-paced, supportive international environment with significant career growth opportunities
A chance to be one of the first employees in the Middle East region, supporting and helping to shape a fast growing industrial AI business
If you're excited about the intersection of AI, mining, and industrial innovation, we’d love to hear from you.
Note: This role is open to Saudi nationals and expatriates with the legal right to work in the Kingdom. IntelliSense.io is an equal opportunity employer and values diversity in our teams.
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