The base pay for this position is $100,000.00 – $200,000.00
Responsibilities
Responsible for independently executing advanced quality data analytics and investigation activities
Lead cross-functional data-driven initiatives focused on quality improvement, risk reduction, process optimization, and regulatory compliance
Analyze large and complex datasets from CAPA, Complaints, Nonconformances, Supplier Quality, Manufacturing, and Post-Market Surveillance systems to identify trends, signals, and root causes
Develop innovative, practical, and compliant analytical solutions to address complex quality and operational challenges
Apply statistical methods, machine learning models, and predictive analytics to proactively detect emerging quality issues and support decision-making
Requirements
Bachelor's Degree in life sciences or engineering or an equivalent combination of education and work experience
Responsible for developing cross-Cyber Defence analytics and insight products that provide a holistic, asset-centric view of Vodafone’s security, operational and risk posture.
Responsibilities
Define and own cross-Cyber Defence analytics use cases
Design and maintain end-to-end analytics pipelines
Aggregate and normalise data from multiple platforms
Develop asset-centric views that correlate telemetry
Produce long-term trend analysis, behavioural baselining and forecasting
Requirements
Bachelor’s degree in Data Science, Computer Science, Information Technology, Engineering or equivalent practical experience
Nice to have: Power BI Data Analyst certification
Nice to have: Azure Data Fundamentals certification
Support the design and implementation of an AI-driven Predictive Maintenance solution for industrial equipment.
Responsibilities
Analyze historical equipment, maintenance, operational, sensor and telemetry data to identify patterns associated with equipment degradation and failures.
Work with domain experts to understand failure modes, their potential indicators, and whether available data provides sufficient predictive signals.
Perform exploratory data analysis, data profiling, statistical analysis, correlation analysis and feature discovery.
Assess data quality, completeness, frequency and predictive value before model development.
Identify and engineer relevant features from time-series and operational data.
Support the design and implementation of an AI-driven Predictive Maintenance solution for industrial equipment.
Responsibilities
Analyze historical equipment, maintenance, operational, sensor and telemetry data to identify patterns associated with equipment degradation and failures.
Work with domain experts to understand failure modes, their potential indicators, and whether available data provides sufficient predictive signals.
Perform exploratory data analysis, data profiling, statistical analysis, correlation analysis and feature discovery.
Assess data quality, completeness, frequency and predictive value before model development.
Identify and engineer relevant features from time-series and operational data.
The Global Water Informatics and Data Initiative (WIData) strengthens evidence-based decision-making in the water sector by supporting World Bank operations with digital water solutions, technical assistance, and advanced analytics.
Responsibilities
Design, build, and maintain full-stack WebGIS applications, dashboards, and geoportals for water accounting and irrigation monitoring.
Process satellite and climate data into water indicators such as evapotranspiration, crop water productivity, and land use.
Apply spatial modeling, time-series analysis, and change detection to produce maps and analytical products.
Apply machine learning and GeoAI to classification, downscaling, and spatial prediction.
Build automated data pipelines, spatial databases, and OGC-compliant map services using cloud-native formats.
Internship in quantitative trading, building and backtesting models, analyzing market data, and collaborating with traders and researchers.
Responsibilities
Build, backtest, and refine quantitative trading models using historical market and orderbook data
Analyze large datasets to identify patterns, inefficiencies, and alpha signals for systematic strategy development
Monitor real-time trading positions and market conditions, assisting traders with risk management and parameter adjustments
Collaborate with quantitative researchers and software developers to implement strategy prototypes into the firm's low-latency execution infrastructure
Oversee and improve daily trading processes as needed
Requirements
Bachelor's in a quantitative field
Master's in a quantitative field
PhD in a quantitative field
Nice to have: prior exposure to financial markets, trading, or quantitative research
Intern in Quantitative Research supporting investment research and strategy development
Responsibilities
Develop and improve quantitative and factor-based investment strategies
Investigate tools, techniques, and metrics including AI-assisted methods
Prepare, validate, and analyze financial and alternative datasets
Participate in development of alpha signals, portfolio construction, and risk-management approaches
Perform thorough research and statistical analysis for strategy development
Requirements
Working towards an advanced degree in a quantitative field such as economics, finance, computer science, data science, applied mathematics, physics, or a related discipline
As a Marketing Data Scientist, you will leverage our advanced data infrastructure on the Google Cloud Platform (GCP) to generate actionable insights.
Responsibilities
You conduct detailed analyses of customer, marketing, and onsite data using SQL and Python to optimize the operational management of marketing campaigns.
You will take end-to-end ownership of your analytical projects—from initial data analysis and preparation to model evaluation and the automated delivery of findings.
Expand and optimize Data Science use cases, such as marketing mix modelling or bidding optimizations, using open source technologies.
Develop and provide self-service BI solutions tailored specifically to marketing requirements and customer attributes.
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