Data Scientist, AI/ML, Associate

Cerberus Capital Management; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading investment firm is seeking a Data Scientist to join their AI team. The role involves designing and implementing machine learning systems to enhance decision-making across the firm. Candidates should possess strong statistical and programming skills, with a focus on delivering impactful solutions. This position offers an opportunity to work in a dynamic environment and contribute to innovative projects that drive value for the organization.

Qualifications

• 4+ years of experience required.
• Proficiency in Python and SQL essential.
• Experience with cloud environments, especially MS Azure, is a plus.

Responsibilities

• Build and deliver AI systems as an individual contributor and in teams.
• Communicate results compellingly to senior business executives.
• Establish reputation as a trusted technologist.

Skills

Statistics

Machine Learning

NLP

Computer Vision

Optimisation

Problem Solving

Creativity

Education

Degree in STEM field

Advanced Degree

Tools

Python

SQL

Git

Azure DevOps

JIRA

Job 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.

Responsibilities:

Build and deliver AI systems as an individual contributor and in teams.

• Delivery focused: 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.
• Contemporary and innovative approach: Develop novel solutions using modern platforms, languages, and tools; build IP into re-usable software packages.
• Structured approach: Bring order to disparate requirements with high tolerance for ambiguity, very strong problem-solving ability, and excellent stakeholder engagement skills.

Communicate results in a compelling way to senior business executives.

• Communicator: Break down complex concepts and problems into succinct components for a range of clients and colleagues at all levels of seniority.
• Storytelling: Be a storyteller capable of delivering insights in a compelling manner.

Build a reputation as a trusted technologist and member of the team.

• 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.
• Test & learn mentality: Challenge our current best thinking, test ideas, and iterate rapidly.
• Creativity: Invent new analyses and methods to solve key business problems.
• Trusted voice: Establish reputation of delivering on commitments; build high-trust relationships.
• Expertise: Develop deep subject matter expertise in valuable areas for the business.

Requirements:

• 4+ years of experience
• A degree in STEM field or equivalent and advanced degree.
• Strong 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++.
• Proficiency in SQL. Ability to write efficient and robust queries.
• Experience with DevOps process for model deployment and unit testing.
• Proof of work in cloud environments, especially MS Azure, is a plus.
• Proof of work in collaborative development environment (Git, Azure DevOps, JIRA).
• Strong intellectual curiosity, mathematical problem solving, and effectiveness in a team.

About Us:

Established in 1992, Cerberus Capital Management, L.P., 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. Cerberus holds controlling or significant minority interests in companies around the world.

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.

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.