Principal Data Scientist

• Working on multiple engagements within portfolio companies across various different industry sectors

• Delivering key Data Science / AI initiatives that drive value for customers.

• Shaping how projects are delivered, driving performance and working closely with C-level execs.

• Providing technical leadership across the business, with a focus on end-to-end machine learning solutions., Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. Skills

• Data

• Financial Services

• Machine Learning

• Private Equity

• Data Science

• AI

• Tech

• Data Scientist

• An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc.
• Experience using Python is a must
• Knowledge of cloud technologies important (agnostic)
• A strong knowledge of statistical/machine learning models applied to real-world problems
• A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important
• A focus on using data science and AI to create value is essential
• A strong interest in working across a variety of different industry sectors and problem areas.

Up to £140,000 base salary Competitive bonus The opportunity to join a world-class and growing team

Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space. They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue. In this role you will lead the technical teams that deliver value.