Job Search and Career Advice Platform

Enable job alerts via email!

Associate AI Lab - Data Scientist

Mubadala

Abu Dhabi

Hybrid

AED 120,000 - 160,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading global investment firm in Abu Dhabi is seeking an AI/ML Engineer to evaluate and implement innovative AI solutions. Candidates should have over 5 years of experience in data science and AI, with expertise in programming languages like Python and SQL. The role also requires strong communication skills and a passion for contributing to the firm's mission. The position offers competitive pay, a hybrid working environment, and strong values of accountability and integrity.

Benefits

Market leading pay and benefits
Flexible hybrid working
Wellness benefits

Qualifications

  • 5+ years of experience in data science and AI/ML.
  • Expertise in classical ML and statistical techniques.
  • Advanced coding skills in Python and SQL.

Responsibilities

  • Evaluate and implement new AI/ML use cases.
  • Solve real-world business problems using data-led methods.
  • Support investment platforms with advanced analytics.

Skills

Data science expertise
AI/ML methods application
Python programming
SQL proficiency
Communication skills

Education

Technical degree (Computer Science, Statistics, Mathematics, Financial Engineering)
Postgraduate degree (MSc or PhD)

Tools

AWS cloud platform
Azure cloud platform
Job description
About Us

Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.

MIC has recognized that the next frontier in competitive advantage will be driven by the adoption of AI and Machine Learning technologies. In response, a new AI Enablement Unit has been formed to lead the effort to define and implement an AI strategy and embed AI into the fabric of the MIC organization.

The newly established AI Lab sits within the AI Enablement Unit. It is tasked with developing new and innovative AI and ML‑enabled tools and solutions specifically tailored to Mubadala use cases. These solutions are designed to solve critical business problems. The team’s focus is on research and POC development, and its work leverages cutting‑edge techniques in generative AI, quantitative analysis, big data processing, optimization, and image and document processing. The team is supported by large engineering teams focused on productization and deployment‑at‑scale.

What you will do
  • Work across our business and investment teams, including supporting functions, to evaluate and implement new AI / ML use cases
  • Bring deep and generalist data science / AI / ML expertise to solve real world business problems using appropriate data‑led methods in a scalable way
  • Provide support to investment and corporate platforms by bringing advanced analytics approaches to the investment life cycle and other supporting functions
  • Assist in idea generation and validation of new AI initiatives across the MIC business and corporate functions and to support the formalization of a prioritized delivery roadmap
  • Adhere to a strong discipline of model documentation and library development to enable scalability and transferability of advanced analytics projects to other business use cases
What you will bring
  • A technical degree in computer science, statistics, mathematics, financial engineering, or related field (a postgraduate degree, for example MSc or PhD, is considered an advantage)
  • 5+ years of experience applying data science and AI / ML methods to deliver commercial impact, preferably within the areas of finance, investments or asset management
  • Expertise in classical ML and statistical techniques (including, for example, tree‑based methods, regression, deep learning, forecasting techniques, optimization methods, Bayesian methods, model evaluation metrics)
  • Expertise in the latest techniques in generative AI (including, for example, agentic workflows, RAG systems, LLM fine tuning, vector databases, optimization and deployment)
  • Advanced coding skills, principally in Python and SQL, with more diverse coding experience (e.g. Java, C++, JavaScript, others) considered an advantage
  • Understanding of production grade engineering in AI, including familiarity with common cloud platforms (AWS, Azure), collaboration tools, and principals underpinning the design of complex, modular, scalable AI / ML services
  • You will be a team player with high standards of business ethics and a drive to deliver, innovate and improve, whilst building strong partnerships within and outside Mubadala
  • You will be an excellent communicator able to build relationships, communicate and influence both within the AI Enablement Unit, and the wider organization

Most importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.

What we offer
  • Making a difference with a social and financial impact
  • Great working environment with talented colleagues
  • Market leading pay and benefits including performance pay
  • Hybrid working and wellness benefits to help you live your best work and private life
  • Opportunity to grow and develop through learning and experience
  • Excellent work culture enabled by our values of Accountability, Inspiration, Integrity & Partnership.

Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership. You will operate in a diverse, energetic, and forward‑thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.

Key Indicators

Location: Abu Dhabi

Flexible Working: Remote working up to 5 days a month

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.