Data Scientist Lead – Commercial Pharma & AI
Boulogne, France
Ipsen
Ipsen is a global biopharmaceutical company focused on innovation and specialty care to improve the lives of patients around the world.Title:
Data Scientist Lead – Commercial Pharma & AICompany:
Ipsen Pharma (SAS)
About Ipsen:
Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.
Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society!
For more information, visit us at https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram.
Job Description:
SUMMARY OF THE ROLEThe Global Analytics Lead will be a key figure within Ipsen, a leading pharmaceutical biotech company, and will work closely with commercial teams to apply advanced analytics, AI, and machine learning techniques. The role focuses on leveraging data to optimize sales, marketing, and commercial operations, driving growth and efficiency. The individual will lead data-driven initiatives, create actionable insights, and collaborate with teams to align business strategies.
This position aims to provide senior leadership with data-driven insights that enhance commercial strategy, sales forecasting, marketing campaign effectiveness, and customer targeting in the pharmaceutical industry. The role focuses on integrating advanced analytics and AI into the commercial functions of Ipsen to improve overall business performance and decision-making.
MAIN RESPONSIBILITIESKey Responsibilities:
Commercial Data Strategy: Lead data-driven initiatives within the commercial function, using AI and machine learning to optimize sales forecasts,
Sales & Marketing Analytics: Apply advanced analytics to sales data, customer segmentation, and marketing effectiveness to uncover trends and inform commercial strategy. Utilize predictive modeling to improve targeting and optimize marketing ROI.
AI Integration: Leverage machine learning algorithms to enhance commercial decision-making, such as segmentation, targeting, sales optimization, and personalization of marketing campaigns.
Cross-Functional Collaboration: Partner with sales, marketing, and business intelligence teams to align on key business objectives and ensure analytics support business decisions effectively.
Reporting & Visualization: Create clear, actionable reports and visualizations for senior leadership, providing insights that drive strategic commercial decisions.
Data Governance & Compliance: Ensure all data and analytics comply with industry regulations and corporate data governance standards, including privacy and security compliance in the commercial context.
Commercial Pharma Expertise: Strong understanding of the pharmaceutical commercial environment, including sales, marketing,
Advanced Analytics & AI Skills: Expertise in advanced data analytics, machine learning, and AI techniques. Experience with predictive modeling, segmentation, and customer analytics for commercial functions.
Technical Proficiency: Advanced proficiency in SQL, Databricks, AWS, and Python or for data analysis, modeling, and machine learning.
Sales & Marketing Analytics: Experience in analyzing commercial data to support sales forecasting, marketing effectiveness, customer segmentation, and targeting strategies.
Reporting & Visualization: Strong skills in creating insightful reports and visualizations that translate complex commercial data into actionable insights for non-technical business stakeholders (e.g., senior leadership).
Business Acumen & Collaboration: Ability to translate commercial business needs into data solutions, and collaborate effectively with sales, marketing, and market access teams.
Problem Solving: Strong analytical and problem-solving abilities to tackle complex commercial challenges and identify data-driven solutions.
Familiarity with pharmaceutical sales and marketing data, including customer relationship management (CRM) platforms, sales performance data, and marketing campaign results.
Experience with commercial data visualization tools (e.g, Power BI) for creating dashboards and reporting.
Knowledge of market access analytics and competitive intelligence in the pharmaceutical industry.
Familiarity with Agile methodologies for project management.
#LI-Hybrid
Dans le cadre de ses recrutements IPSEN s’engage au respect de l’égalité de traitement des candidats, indépendamment du sexe, de l’âge, de l'orientation sexuelle, de l'origine ethnique, de la couleur de la peau, de la nationalité, du handicap ou de l'appartenance à un syndicat.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Business Intelligence Data analysis Data Analytics Databricks Data governance Data strategy Data visualization Machine Learning Pharma Power BI Predictive modeling Privacy Python Research SAS Security SQL
Perks/benefits: Career development Startup environment
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