Senior Data Management Professional - Data Science - Data Management Lab | London, UK

Bloomberg; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Data Management Professional to enhance data quality and support impactful business decisions. This role is integral to the Data Management Lab, where you'll lead global initiatives in data science applications, design studies to uncover data quality issues, and create statistical models to optimize data pipelines. Collaborating with diverse teams, you'll provide actionable insights that drive innovation and improve operational efficiency. If you're passionate about data and eager to make a significant impact in a collaborative environment, this opportunity is perfect for you.

Qualifications

• 3-5 years of experience in data quality and predictive modeling.
• Strong programming skills in Python and SQL are essential.

Responsibilities

• Lead initiatives on data science applications in quality and efficiency.
• Design studies to identify root causes of data quality issues.

Skills

Python

SQL

Data Profiling

Predictive Modeling

Causal Analysis

Project Management

Data Storytelling

Education

PhD in Data Science

Master's in Economics

Tools

Git

GitHub

GitLab

Job description

Senior Data Management Professional - Data Science - Data Management Lab

Bloomberg relies on data, and our Data department is responsible for acquiring, interpreting, and providing data insights to our clients. Our Data teams collect, analyze, process, and publish data that forms the backbone of our Bloomberg Terminal, which influences financial markets worldwide. We deliver this data, along with news and analytics, through innovative technology that emphasizes speed and accuracy.

The Data Management Lab (DML), part of the Data organization, supports excellence in data management by aligning industry best practices with Bloomberg's expertise in financial market data. DML helps data professionals make their products 'ready-to-use' by enhancing data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.

As a Data Management Professional, you will ensure the delivery of high-quality data to clients and support impactful business decisions. You will be part of a collaborative team within the Quality Methods & Insights group under DML, which includes Data Quality, Business Intelligence, and Process Engineering, serving as a center of excellence. Your role involves leading initiatives to improve dataset quality, partnering with Data product and Engineering teams, and developing scalable methods for analyzing product, process, and people data. Your insights will support data-driven decisions, quality improvements, and process optimizations. You will also help refine data management best practices.

As a valued team member, you will:

• Lead global initiatives on data science applications in data quality, product development, and operational efficiency
• Design and conduct studies to identify root causes of data quality issues using techniques like hypothesis testing, clustering, and regression analysis
• Create statistical models to detect anomalies, predict quality issues, and optimize data pipelines
• Provide actionable insights through advanced analytics and compelling data storytelling to support decision-making and innovation
• Collaborate with stakeholders and engineering teams to develop scalable data science solutions
• Build team capabilities and mentor others in modeling and experimentation best practices

Qualifications include:

• A PhD or Master's degree in Data Science, Economics, Statistics, or a related quantitative field
• 3-5 years of experience in research design, data profiling, predictive modeling, and causal analysis
• Strong programming skills in Python and SQL
• Experience with version control systems like Git and collaborative workflows such as GitHub or GitLab
• Experience in data quality, governance, or management environments is a plus (knowledge of DAMA, DCAM, etc.)
• Excellent project management and communication skills for technical and non-technical audiences
• Knowledge of financial markets and Bloomberg products is advantageous

Interested in this opportunity?

If you believe you're a good fit, apply now. We look forward to connecting with you about the next steps.