Data Scientist

Data Scientist

About the Opportunity

Chi Square Group is currently partnering with a growing consulting firm in the search for a Data Scientist to join its expanding team. This firm delivers cutting-edge consulting and software solutions to organisations across the finance and defence sectors, helping them solve complex challenges through data-driven decision-making and advanced analytics.

This is a unique opportunity to work alongside exceptional researchers, data specialists, and quantitative professionals in a highly intellectual and collaborative environment where data-driven insights directly influence strategic decision-making.

The successful candidate will leverage a wide range of traditional, public, financial, and alternative datasets to uncover valuable signals, develop predictive models, and contribute to high-impact analytical projects. This role offers the opportunity to work at the intersection of data science, machine learning, and real-world decision-making within a fast-paced and innovative setting.

Key Responsibilities

• Analyse large and complex structured and unstructured datasets to identify meaningful patterns, trends, and opportunities.
• Develop predictive models and advanced analytical solutions that support critical business and research objectives.
• Partner closely with stakeholders to understand key challenges and translate data into actionable insights.
• Design, build, and enhance data products that improve the accessibility and value of analytical outputs.
• Collaborate with data engineering teams to leverage automated data pipelines and ensure high-quality data delivery.
• Evaluate and integrate alternative datasets to generate differentiated insights and uncover new opportunities.
• Apply statistical, machine learning, and artificial intelligence techniques to solve complex analytical problems.
• Continuously improve analytical processes, methodologies, and tools to increase efficiency and impact.
• Stay current with developments in data science, machine learning, artificial intelligence, and emerging technologies.

Candidate Requirements

• Bachelor's, Master's, or PhD in a highly quantitative discipline from a recognised university (Russell Group University / top 300 in the world)
• Strong programming skills in Python and SQL.
• Experience using Azure & Databricks is desirable.
• Experience working with large and complex datasets, including both structured and unstructured data.
• Solid understanding of statistical modelling, machine learning techniques, and applied data science methodologies.
• Experience building predictive models and analytical solutions that support business decision-making.
• Knowledge of cloud-based data platforms and modern data science tooling is advantageous.
• Exposure to financial, economic, or alternative datasets would be beneficial but is not essential.
• Strong problem-solving skills with the ability to work independently and take ownership of projects.
• Excellent communication skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.
• Highly organised, detail-oriented, and motivated to continuously learn and develop new skills.
• Ability to thrive in a fast-paced, collaborative, and intellectually challenging environment.

What's on Offer

• Competitive compensation package.
• Opportunity to work alongside exceptional researchers, data scientists, and quantitative specialists.
• Meaningful ownership and responsibility from day one.
• Exposure to a diverse range of high-impact projects spanning data science, analytics, machine learning, and quantitative research.
• Continuous learning and professional development opportunities.
• Access to cutting-edge datasets, technologies, and analytical techniques.
• Chance to play a key role in shaping a rapidly growing and innovative organisation.