Data Scientist

Location(s):

• The Alexandra 200-220, The Quays, Salford, M50 3SP, GB
  
  

Line Of Business: Data Solutions OU(DAAS OU)

Job Category

• Engineering & Technology
  
  

Experience Level: Experienced Hire

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

About The Team

Join our dynamic engineering team as a Data Scientist! Your expertise in implementing key algorithms and models will drive our advanced network analysis solutions and support our core data pipelines.

Our team is dedicated to developing top-tier enterprise software, prioritizing excellence, performance, and innovation. As a Data Scientist, you’ll have the chance to tackle intricate challenges, join a forward-thinking team that encourages your initiatives, and make significant contributions to high-impact projects.

Responsibilities

• Develop and fine-tune complex mathematical and machine learning algorithms, prioritizing high accuracy and recall.
• Create and maintain data pipelines that integrate algorithms and ML models, capable of processing large-scale datasets (millions to billions of records).
• Ensure data pipelines are scalable and performant. Provide recommendations or code optimizations to meet enterprise standards.
• Collaborate with various stakeholders (Business, Data Analysts, QA) to deliver relevant and insightful data model results.
• Stay updated with the latest advancements in data engineering and data science.
  
  

Skills And Competencies

• Good knowledge of statistical measures, ML modelling (regression/trees/NN/embedding) and evaluation methodologies.
• Proficiency in Graph theory applied to data (clustering, community detection, etc.) and graph database
• tools. Skills on Entity Resolution or Entity Matching topics is a plus.
• 2+ years in developing automated data pipelines using tools such as Spark, Pandas, Kafka, Flink.
• Proficiency in data transformation operations such as joining, mapping, cleansing, and standardization with millions of records.
• Ability to interpret business functions and resolve system problems.
• Excellent communication skills to convey complex insights to non-technical stakeholders.
• Motivated and proactive with the initiative to make independent decisions.
• Working knowledge of CI/CD pipelines. Knowledge of Docker and K8 is a plus
  
  

Education

• Master’s degree in Computer Science, Information Technology, or related field
  
  

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.