Job Description
Full-time opportunity for a Senior Data Scientist to join a premier economics, technology, and strategy consulting firm. This role focuses on applying advanced analytics, machine learning, and AI technologies to solve complex business, regulatory, litigation, and policy challenges involving emerging technologies, cybersecurity, competition, and digital platforms.
This is a highly visible role for an experienced data scientist who wants to work on some of the most challenging and impactful analytical problems in the market. You'll partner with economists, strategists, legal experts, and technologists to transform complex datasets into defensible insights that influence business strategy, regulatory outcomes, and high-profile litigation matters. The role offers the opportunity to build cutting-edge AI and machine learning solutions while helping shape the firm's growing data science and AI capabilities.
Required Skills & Experience
Master's or PhD in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field
6+ years of professional experience in Data Science, Machine Learning, or Applied Analytics
2+ years of experience working within the GCC region
Strong expertise in AI/ML, NLP, statistical modeling, and advanced analytics
Proficiency in Python, R, and SQL
Experience with modern machine learning frameworks including PyTorch, TensorFlow, scikit-learn, Hugging Face, and OpenAI APIs
Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
Experience working with scalable data technologies including Airflow, dbt, Spark, BigQuery, and Snowflake
Strong communication skills with the ability to explain complex findings to technical and non-technical audiences
Proven leadership experience managing projects and mentoring technical teams
Desired Skills & Experience
Experience applying AI and machine learning within regulated industries
Experience supporting litigation, regulatory, risk, cybersecurity, or economic analysis initiatives
Familiarity with large language models, generative AI, and agentic systems
Experience working in consulting or professional services environments
Experience building reusable analytical frameworks and internal tooling
Strong interest in emerging technology policy and digital regulation
What You Will Be Doing
Tech Breakdown
40% Machine Learning & AI Development
25% Statistical Analysis & Modeling
20% Data Engineering & Cloud Infrastructure
15% Client Advisory & Research
Daily Responsibilities
70% Hands On
10% Mentorship & Technical Leadership
20% Team Collaboration
Design and deploy advanced analytical models and machine learning solutions
Build, evaluate, and operationalize machine learning and LLM-based systems
Develop scalable analytical pipelines and data workflows
Apply statistical, econometric, and machine learning techniques to complex business problems
Partner with consultants, economists, and legal experts to translate technical findings into actionable recommendations
Serve as a technical advisor on AI, cybersecurity, and digital transformation engagements
Mentor junior data scientists and engineers on modeling, experimentation, and engineering best practices
Contribute to the development of internal tools, frameworks, and reusable analytical assets
Present analytical findings to both technical and executive audiences
Participate in thought leadership and knowledge-sharing initiatives across the firm's AI and data science community
The Offer
Competitive salary plus annual discretionary bonus
You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
Pension Contributions
Annual Bonus Opportunity
Professional Development Opportunities
Applicants must be currently authorized to work in the applicable region on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 878874
- Posted 30+ days ago
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