Consulting - Data Science
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Key skills for this role
About the Role
RiskPod is looking for a Data Science Consultant to join a growing consulting team delivering bespoke AI and analytics solutions. This client-facing role combines data science, consulting, and technical delivery, requiring strong Python, SQL, and machine learning skills.
Key Skills for This Role
Responsibilities
- 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
- Perform data transformation, quality assurance, insight generation, dashboard creation
- Deliver client presentations
- Contribute to continuous improvement of analytics products and delivery processes
Requirements
- 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
- Experience with pandas, NumPy, scikit learn, NLP frameworks, transformers/LLMs, APIs and modern software engineering practices
- Excellent communication skills, commercial awareness and ability to simplify complex technical concepts for clients
Full Job Posting
Overview
- Data Science Consultant
- 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.
Responsibilities
- 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.
Requirements
- 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.
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