Position Snapshot
Type of Contract: Permanent
Function and Stream: NHS Global Data
Type of work: Hybrid
Work Language: Fluent Business English
Work Location: Esplugues de Llobregat (Barcelona)
The roleIn this role, you will have the opportunity to design and deploy analytical and machine-learning solutions that solve complex business challenges. You will transform datasets into clear, actionable insights and partner with Data Engineering to scale models into production. You will also support stakeholders with data-driven recommendations and contributions to team development through mentorin.
What you'll do
Statistical Modelling, Machine Learning & Predictive Analytics. Build, test, and deploy econometric or ML/statistical models, develop predictive models for forecasting behaviour, demand or ROI, developing segmentation models and clustering, creting algorithms to automate insights or decisions, evaluating model performance and refinigs based on diagnostics
Experimentation & Causal Inference Designing and evaluating experiments to estimate price elasticity at product or category level, effects of praice changes on customer behaviour, cross-elasiticities between the products and substitute goods
Specific Activities for Marketing mix modelling and Price Elasticity Simulate multiple business scenarios using elasticity curves, MMM-based channel response curves, seasonality and mactor factors.
Data Visualization, Story-telling & Stakeholder Communication. Translate insights into clear recommendations for stakeholders; promote analytics best practices and data literacy.
We offer you
Great benefits including salary and a comprehensive social benefits package. We have one of the best pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.
What will make you a great fit
3-6 years of applied data science experience, with proficiency in Phyton, SQL and core ML/statistical methods.
Ability to turn complex business questions into experiments and actionable insights for both technical and non-technical audiences
ML Model deployment/cloud/ML Ops knowledge
Bonus Points If You have
Experience with cloud platforms (AWS/Azure/GCP), big data tools, and CI/CD/Git for MLOps.
Expertise in pricing/SRM (elasticity, PPA, promo analytics) with exposure to eCommerce analytics.
Strong data visualization skills (e.g., Power BI) to turn insights into compelling decision assets.
Background in FMCG; exposure to consumer health/pharma and prior mentoring/coaching experience
At Nestlé, we are strongly committed to providing equal opportunities for all individuals. We value diversity in age, ethnicity, nationality, sexual orientation, gender identity and expression, sex characteristics, social origin, religion or belief, and disability.
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