Senior Data Scientist

We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months. In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with teams in Product, Research, and Technology, you'll help turn strategic ideas into working MVPs‑ensuring high standards of methodology, quality, and business relevance throughout. You'll also help shape the data science environment by working alongside our tech teams to support a robust and flexible infrastructure, including sandbox environments for onboarding and evaluating new data sources. This is a great opportunity for a self‑driven, impact‑oriented data scientist who thrives in a fast‑paced, cross‑functional setting‑and is eager to deliver meaningful results in a short time frame.

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• Delivering significant and valuable analytics projects/assets in industry and/or professional services.
  
• Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models.
  
• Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus.
  
• Experience working in Azure/Microsoft environments is considered a real plus.
  
• Proven understanding of data science methods for analyzing and making sense of research data outputs and survey datasets.
  
• Fluency in advanced statistics, ideally through both education and experience.
  

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• Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, or a related field.
  
• Comfortable working with uncertainty and ambiguity, from initial concepts through iterations and experiments to find the right products/services to launch.
  
• Excellent problem-solving and strong analytical skills.
  
• Proven aptitude to learn new tools, technologies, and methodologies.
  
• Understanding of requirements for software engineering and data governance in data science.
  
• Proven ability to manage and mentor data science teams.
  
• Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale.
  
• Ability to translate complex analysis findings into clear narratives and actionable insights.
  
• Excellent communication skills, with the ability to listen and collaborate with non-technical and non-quantitative stakeholders.
  
• Experience working with client‑facing and Tech teams to ensure proper data collection, quality, and reporting formats.
  
• Experience presenting investigations and insights to audiences with varying skill sets and backgrounds.
  
• Nice to have: experience working with market research methods and datasets.
  
• Nice to have: experience in the professional services or legal sector.
  
• B2B market research experience would be a significant plus.