Lead technical development of structured finance credit models and provide hands‑on leadership to the Quant team.
Compensation
EUR 128,500.00-186,833.00
Responsibilities
Take hands‑on ownership of the design, implementation and enhancement of structured finance credit models.
Lead complex model and methodology development projects through to release, coordinating technical workstreams, dependencies, timelines and stakeholders across quantitative, ratings, review and Technology teams.
Develop, maintain and enhance proprietary Python and C++ modelling libraries.
Engage with rating analysts to understand analytical challenges and emerging market trends, and translate business needs into appropriate modelling approaches.
Lead the preparation of quantitative research papers and technical documentation supporting model development and methodology enhancements.
Requirements
Master’s degree in Mathematics, Engineering, Physics, Economics, Finance, Statistics, or a related quantitative discipline
As an intern in Sustainability Data Solutions & AI, you will turn sustainability data into insight Novo can act on.
Compensation
If allowed by your educational institution, the internship is paid at a fixed monthly base rate of DKK 15,900, plus a pension scheme (currently 10% employer contribution and 5% employee contribution).
Responsibilities
Develop a data analytics use case that combines energy and water data from source systems with global sustainability data
Support the integration and automation of sustainability data in the Sustainability Data Foundation
Improve the quality, transparency and availability of sustainability data by creating clean, reliable and reusable datasets
Support the digitalisation of sustainability data and analytics by connecting sustainability information with relevant business and operational metrics
Contribute to BI solutions for reporting, forecasting and decision-making, as well as ad hoc analyses across sustainability data and technology
Senior Data Analyst responsible for turning complex data into actionable insights to drive commercial performance in a recycling and manufacturing environment.
Lead the AI & Automation chapter within the Data & AI function, owning the company‑wide AI and automation portfolio and driving delivery of AI agents, generative AI solutions and machine learning models.
Responsibilities
Lead, develop and scale the AI & Automation chapter, including AI Engineers and ML Engineers
Own the company‑wide AI and automation portfolio by identifying, shaping and delivering AI and machine learning use cases with business stakeholders and Product Managers
Define and maintain standards, governance and best practices for generative AI, agentic AI and machine learning across the Data & AI function
Lead the development and deployment of AI agents, generative AI solutions and machine learning models, ensuring scalability, reliability and business impact
Drive responsible AI practices, including governance, transparency, compliance and adherence to AI regulations and security requirements
Requirements
Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Artificial Intelligence or a related discipline
Provide statistical support for projects in the Inflammation and Immunology disease area in Global Product Development, including design, analysis, reporting, and regulatory submissions.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Provide statistical input into project development plans, study design, statistical analysis plans.
Be accountable for quality statistical deliverables according to study timelines.
Ensure that all study and project level statistical activities are conducted in compliance with relevant regulatory requirements and Pfizer standards.
Provide data presentation plan and interpretation of statistical analysis results and contribute to the clinical trial reports.
Provide support for publications and scientific presentations of study results.
The Sr Manager of Advanced Analytics will have primary responsibility for personal and non-personal promotion response analytics, and brand deep dives across Lundbeck’s portfolio of products using statistical modelling and machine learning.
Compensation
Salary Pay Range: $170,000 - $195,000 and eligibility for a 15% bonus target based on company and individual performance, and eligibility to participate in the company's long-term incentive plan.
Responsibilities
Leverage rigorous statistical modelling techniques to evaluate various marketing promotions and sales force analytics
Leverage machine learning and AI to build predictive algorithms to evaluate and predict various marketing promotions and sales force analytics
Synthesize data insights and statistical results into actionable insights and visualize the findings
Evaluate synergistic impact between marketing promotional channels and optimize the brand investments
Provide data and analytics inputs including modeling data preparation, exploratory data analysis and meta data analysis
The Sr Manager of Advanced Analytics will have primary responsibility for personal and non-personal promotion response analytics, and brand deep dives across Lundbeck’s portfolio of products, leveraging secondary analytics, statistical modelling, and machine learning techniques.
Compensation
Salary Pay Range: $170,000 - $195,000 and eligibility for a 15% bonus target based on company and individual performance, and eligibility to participate in the company’s long-term incentive plan.
Responsibilities
Leverage rigorous statistical modelling techniques to evaluate various marketing promotions and sales force analytics, targeting and customer segmentation.
Leverage machine learning and AI to build predictive algorithms to evaluate and predict various marketing promotions and sales force analytics.
Synthesize data insights and statistical results into actionable insights and visualize the findings.
Evaluate synergistic impact between marketing promotional channels and optimize the brand investments.
Provide data and analytics inputs including modeling data preparation, exploratory data analysis and meta data analysis.
Requirements
Accredited Bachelor's degree
Master’s Degree in quantitative field
Nice to have: Pharmaceutical data (retail/ non-retail, distribution, specialty pharmacy, payer, promotional & marketing data, longitudinal patient-level data)
Nice to have: Payer mix analysis (Commercial, Medicare, Medicaid)
Nice to have: Formulary analysis and strategy development
Compensation
Poland Salary Band (Gross): 16,300PLN – 21,700PLN
Responsibilities
Develop and deploy models for marketing effectiveness, acquisition, retention and customer lifetime value
Define analytical questions, hypotheses and business-linked success metrics, and design experiments and apply causal inference, MMM or attribution where appropriate
Reconcile web, advertising-platform, CRM and sales data into trusted analytical datasets
Communicate results, uncertainty and recommendations clearly to decision-makers
Embed analytical outputs into campaign, planning, budgeting and CRM workflows
Requirements
Degree in data science, statistics, mathematics, economics, econometrics, computer science or a related quantitative discipline
Risk Analytics ManagerFirst West · Langley, Canada
Internship in Sustainability Data Solutions & AINovo Nordisk A/S · Bagsværd, Denmark
Senior Data AnalystEMR Metal Recycling · Warrington, United Kingdom
Senior Manager Advanced AnalyticsLundbeck · Remote, US