Consulting - Data Science

RiskPod; Dubai; On-site; AED 260,000 - 420,000; Full time

Job summary

RiskPod is expanding its consulting team to deliver bespoke AI and analytics solutions for clients across industries. This client-facing role blends data science, consulting and technical delivery, translating business requirements into scalable analytical solutions.

You will design and deliver end-to-end projects, develop Python and SQL solutions, improve models and communicate insights through dashboards and client presentations.

Qualifications

• Master's or PhD in a quantitative discipline.
• 3+ years' experience in data science, analytics or consulting.
• Strong Python, SQL, statistical modelling and machine learning expertise.

Responsibilities

• Design and deliver end-to-end data science projects for client needs.
• Develop Python and SQL solutions and improve ML models.
• Translate requirements to scalable analytics, dashboards and deliver client presentations.
• Ensure data quality and transformation, and contribute to continuous analytics product improvement.

Skills

Python

SQL

Statistical modelling

Machine learning

Pandas

NumPy

scikit-learn

NLP frameworks

Transformers/LLMs

APIs

Software engineering practices

Communication skills

Commercial awareness

Education

Master's or PhD in quantitative discipline

Tools

Azure DevOps

MLOps

Docker

Kubernetes

Cloud AI platforms

Job description

I am looking for someone to join a growing consulting team delivering bespoke AI and analytics solutions that help organisations solve complex commercial challenges through data. This is a client-facing role combining data science, consulting and technical delivery, where you'll work closely with business stakeholders to translate requirements into scalable analytical solutions.

You will design and deliver end-to-end data science projects, develop custom Python and SQL solutions, improve machine learning models, and optimise classification and clustering performance while addressing data bias. Responsibilities include data transformation, quality assurance, insight generation, dashboard creation, client presentations, and contributing to the continuous improvement of analytics products and delivery processes.

I am looking for high level candidates with a Master's or PhD in a quantitative discipline and 3+ years' experience in data science, analytics or consulting. Strong Python, SQL, statistical modelling and machine learning expertise are essential, alongside experience with pandas, NumPy, scikit-learn, NLP frameworks, transformers/LLMs, APIs and modern software engineering practices. Exposure to Azure DevOps, MLOps, Docker, Kubernetes or cloud AI platforms would be advantageous. Excellent communication skills, commercial awareness and the ability to simplify complex technical concepts for clients are key.

YOU MUST come from a Management Consultancy Background.