- Develop novel solutions using modern platforms, languages, and tools; build IP into re-usable software packages.
- Communicate results in a compelling way to senior business executives.
- degree in STEM field or equivalent. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation.
- Python programmer with experience building data pipelines and statistical / machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++.
- in SQL. with DevOps process for model deployment and unit testing.
- of work in collaborative development environment (Git, Azure DevOps, JIRA).
- Established in 1992, Cerberus Capital Management, L.together with its affiliates, is one of the world's leading private investment firms. Through its team of investment and operations professionals, Cerberus specializes in providing both financial resources and operational expertise to help transform undervalued and underperforming companies into industry leaders for long-term success and value creation. The Firm's proprietary operations team, Cerberus Operations and Advisory Company, LLC (COAC), employs world-class operating executives to support Cerberus' investment teams in the following areas: sourcing opportunities, conducting highly informed due diligence, taking interim management roles, monitoring the performance of investments and assisting in the planning and implementation of operational improvement initiatives at Cerberus' portfolio companies.
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Data Analysis Scientist - City of London, Greater London, United Kingdom - Cerberus Capital Management
Description
Data Scientist at Cerberus Capital Management
As a Data Scientist in our AI team, you will contribute to the firm's objectives by delivering rapid and scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments.
You'll do this by designing, implementing, and deploying machine learning systems that help our desks and portfolio companies make better business decisions and ultimately drive value.
You may also participate in due diligence or pricing analyses of future investments, etc.
Help design solutions using a rigorous hypothesis-based approach, partner with cross-functional technical teams, and execute the development with a focus on impact.
Agile and pragmatic:
Rapidly and iteratively deliver results in high-pressured projects, with skill and creativity to pivot quickly as needed to create the most value.
Technology polymath:
experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack.
Creativity:
Invent new analyses and methods to solve key business problems.
Cerberus Technology Solutions is an operating company and subsidiary of Cerberus Capital Management focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations.
Our expert technologists work closely with Cerberus investment and operating professionals across our global businesses and platforms on a variety of operating initiatives targeted at improving systems and generating value from data.
