Principal Consultant at Nicoll Curtin - Software Engineering, Cloud, Automation
Our client, a well‑established, globally active management consulting firm with a presence across Switzerland, Germany, Austria, the UK, the USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia, and India. They serve as a trusted partner to many of the world’s leading financial services and insurance organizations. Their work spans all stages of project management — from strategy development and operational framework design to technical implementation and delivery. By combining deep business and technology expertise with a structured, methodical approach, they consistently deliver sustainable value and impact for our clients.
Key Responsibilities
- Identify and gather data from relevant sources, automating collection processes where possible.
- Process and analyze both structured and unstructured data to uncover trends and patterns.
- Develop predictive models and implement machine learning algorithms.
- Propose data‑driven solutions and strategies to business challenges.
- Facilitate workshops with stakeholders, ideally using agile software development practices.
About You
Bachelor’s degree (or higher) in Statistics, Mathematics, Computer Science, Engineering, or a related field.Minimum of 3 years’ experience in data science.Hands‑on experience with LLMs and other Generative AI techniques.Strong understanding of applied statistics and machine learning (supervised and unsupervised).Proficient in Python, R, Power BI, Scala and / or SQL, with experience using Jupyter notebooks.Proven ability to evaluate and apply statistical models, including machine learning, optimization, and neural networks.Passionate about transforming business processes, particularly within the Financial Services sector (Banking & Insurance).Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
Financial Services, Investment Banking, and Banking
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