The Master Scheduler is responsible for developing and maintaining a constrained Master Production Schedule (cMPS) that aligns site capacity with network requirements while driving global optimization and digital transformation initiatives.
Compensation
The anticipated base pay range for this position is:
€64,300.00 - €102,925.00
Responsibilities
Develop and maintain a monthly constrained Master Production Schedule (MPS) based on net requirements
Perform site capacity planning for resources, shifts, equipment, and planned shutdowns
Lead site Rough-Cut Capacity Planning (RCCP) reviews and identify improvement opportunities
Chair and own the Site Latest Estimate (LE) process, ensuring alignment with Net Requirements Plan (NRP)
Collaborate with global teams to identify and mitigate capacity constraints across the network
Requirements
Bachelor’s degree in Supply Chain, Business, Engineering, or related field
Build and develop models that will feed directly into regulatory reporting and consumption component of the water balance
Enrich stakeholder insight of our Big Data Smart Meter set, applying quality assurance techniques and automation processes to deliver consistent reporting
Develop statistical and predictive models that improve understanding of consumption, per capita consumption, business demand and leakage, and feed directly into regulatory reporting
Carry out exploratory analysis, data mining and empirical analysis to identify trends, drivers and opportunities
Apply data science techniques such as linear and multivariate regression, decision trees, Monte Carlo analysis and neural networks to complex business problems
Lead the Risk Pricing and Pricing Sophistication team, developing and maintaining robust pricing models and strategies for AXA’s general insurance business.
Responsibilities
Lead risk pricing strategy and model development
Advance pricing sophistication and model performance
Translate complex modelling into clear recommendations for senior stakeholders
Drive adoption of new data sources and pricing technologies
Ensure pricing techniques remain transparent and aligned with best practice
Requirements
Third-level qualification in a quantitative discipline such as actuarial science, mathematics, statistics, economics, finance, data science or a related field
Lead the development and implementation of AI-driven evidence strategies for Lung, Head & Neck therapeutic areas, translating data into actionable insights for portfolio decisions.
Compensation
The annual base pay for this position ranges from $186,014.40 - 279,021.60 Annual USD.
Responsibilities
Define and evolve the Clinical Intelligence & Evidence strategy for Lung, Head & Neck
Lead a team of data professionals within the Group Responsible and Strategic Procurement department to define, implement, and oversee data strategy, analytics capabilities, and governance.
Responsibilities
Develop and articulate comprehensive data and analytics vision and strategy
Identify, design and prioritize key business questions
Champion a data-driven culture across the organization
Establish and enforce robust data governance policies
Oversee the architecture, design, and implementation of data platforms
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field
Lead complex workstreams within projects, serve as primary client contact, develop strategic recommendations, mentor junior staff, and contribute to business development.
Responsibilities
Lead complex workstreams within a project/engagement or small project teams
Serve as the primary day-to-day client contact
Develop strategic recommendations
Mentor junior staff
Contribute to business development by identifying potential expansion opportunities
Requirements
Bachelor's degree in epidemiology, data science, health economics, health policy, pharmacy administration, statistics, or related discipline
Peraton is seeking a Data Scientist to join our Talent Analytics & Insights team to leverage research design, regression analysis, and predictive modelling to support investigations into workforce questions such as attrition, workforce planning, internal mobility, and performance outcomes.
Compensation
Target Salary Range $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Conduct descriptive and diagnostic analyses of workforce data to surface trends, anomalies, and actionable patterns (e.g., attrition hotspots, promotion rates, engagement shifts)
Apply hypothesis testing, correlation analysis, and regression techniques and other methods to answer workforce questions with rigor
Extract, join, transform, and validate data from enterprise data warehouse and HR systems using SQL
Translate business questions into structured analytical approaches and deliver end-to-end analyses from scoping through presentation
Communicate findings clearly to HR and business stakeholders, including visualizations, written summaries, and presentations
Requirements
Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Economics, Psychology, Industrial-Organizational Psychology, Computer Science, or related discipline)
The Controls Analytics Consultant will play a key role in providing advanced analytics and data insights to support project controls functions for major infrastructure projects, ensuring project cost forecasts and schedule performance align with business goals.
Responsibilities
Develop and maintain MS Excel reports and Power BI dashboard that provide insights into project health across all PMO functions at project and programme level
Monitor key project performance indicators and identify trends, deviations, and improvement opportunities
Present clear and actionable insights to stakeholders to enable effective project governance decisions
Develop descriptive and predictive analytics models to assess potential project outcomes based on current data and trends
Collaborate with the Programme and Design Managers to incorporate data-driven forecast models into the controls process
Level 5 or higher qualification in Data Science, Computer Science, Statistics, Mathematics or a related quantitative subject, or equivalent professional experience
Director, Brand Analytics, CVRMNewAstraZeneca · Wilmington, US
Pricing ManagerAXA · Dublin, Ireland
Senior Consultant – HEOR Modelling and Evidence SynthesisAvalere Health · Remote, United Kingdom
Data Scientist - Talent Analytics & Organizational ResearchPeraton · Remote, US