Pernod-Ricard is a leading worldwide Wine and Spirits company. This position was made possible thanks our very entrepreneurial, innovative and risk-taking culture from the beginning as the Group strongly extended its geographical and products footprint across time, starting from absinthe and anise drinks in France to a portfolio of 400+ brands brought to customers and consumers across 160+ countries.
Leveraging digital, data and AI is becoming increasingly critical for consumer goods companies—it is becoming self-evident that the champions of those topics will be the leaders of today and tomorrow:
AI and Data are shaping new ways to do business in the Consumer sectors with high-value applications such as end-to-end forecasting and planning along with ROI measurement for advertising and promotional spending.
This trend is reinforced by the Covid-19 context, which further increases the need to anticipate, adapt to, and shape changes in consumer demand and behavior.
In this context, Pernod Ricard, in line with its entrepreneurial culture, has the ambition to conquer new frontiers and be the most innovative Wine & Spirits company in the world in terms of AI and digital. The ambition is to leverage the uniqueness of the depth of our brand portfolio to address the right product & service at the right time, at the right price to the right person (at a time when market fragmentation is increasing in the Wine and Spirits sector). This will be done by
Reinventing the way sales forces operate, equipping them with data-driven tools supporting the prioritization of their efforts
Optimizing the pricing of products in real time.
Optimizing marketing spend allocation across channels
We have already started this transformation agenda
We have already deployed some flagship projects, e.g.,
Prioritization in France and in the US of Sales Forces allocation across points of sales based on business potential and image by using various sources of data (point of sales, sales data by SKU, Sales Rep data, social network, third-party data)
Prioritization of outlets through social media data & automated updates to increase market penetration and better calibration of our route to market
We have launched a global transformation program on Data & AI with strong sponsorship from the CEO and his top management and large financial investment.
Projects are delivered in production on our “Data Platform” built in partnership with our best in class IT team leveraging the most recent technologies available on the public cloud.
We built in partnership with our HR team a Data Academy program to certify internally our employee from “Grape to XO level”
Pernod-Ricard is looking for Data scientists to join our Digital Transformation team.
Working at Pernod-Ricard is the perfect place for you to develop your Data Science skills in a holistic way:
We use Agile ways of working, allowing you to work in multidisciplinary teams deeply integrated with business and market. You will develop both technical skills and business / soft skills.
Top-notch team & tools:
Our team encompasses experienced and proven experts
We already have a central data platform in Azure connected to markets through snowflake.
Our core data science team is already in place and uses cutting-edge data science tools to answer business questions (machine learning, deep learning, statistical learning, optimization)
Our primary language is python but we are open to test and incorporate any language that fits our needs (be ready to learn!)
Variety of projects and day-to-day work:
We are present in 160+ markets with 400+ brands globally, we can propose an endless variety of projects.
We develop unique solution for our unique internal clients
Our commitment for a multi-year transformation journey will allow you to participate in projects with different maturities: from proof of concept to production.
Your day-to-day work will be varied as our team will focus on 3 priorities: push forward boundaries (imagine creative solutions to hack Pernod-Ricard), delivering qualitative tech assets for the company and facilitate adoption of the solution across the company.
Conviviality at work
How many of us have been in a job where we can truly be ourselves, where we get up every day feeling at ease and confidant to share who we are with people we work with? At Pernod-Ricard we are Proud to Belong, Empowered to Perform and Committed to Care.
We call it conviviality. We believe that this spirit should flow through to your work.
We’re looking for a passionate and talented Data Scientist to join our rapidly growing team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to sustain Pernod-Ricard growth. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.
Roles and responsibilities:
You will integrate a brand-new team including other Data Scientists, Data Engineer, Data Steward, Software Engineer, Data Analyst and Engagement lead working closely with deployment lead and field experts. Under the supervision of the Head of Data, you will be in charge of building models and performing analysis needed for the digital use cases within the KEY DIGITAL PROGRAMS:
Partner with Data Analyst team to present outcomes of our models
Partner with Data Steward to identify necessary data to build our models
Partner with Data Engineer to build necessary data pipelines
Leverage existing or create new data science capabilities within Pernod-Ricard to bring value through business use cases
Actively contribute to Data Science community
Job Scope :
Key External stakeholders: Consulting firms, Tech companies
Internal stakeholders: IT data scientist, IT Platform lead, Project managers, experts
Job scope: 100% international
Pragmatic and capable of solving complex issues
Result-oriented and capable of challenging other stakeholders
Ability to understand business needs
Push innovative solutions
Self-starter who thrives in a collaborative environment
Experience in core analytics methods (illustrative)
Statistics (t-tests, ANOVA)
Geographic cluster recognition and manipulation techniques
Predictive modeling: e.g. logistic regression, linear regression
Machine learning: e.g. LCA, Random Forest, neural networks
Network analysis (location-allocation, traveling sales person, vehicle routing problem)
Time series analysis (ARIMA, VAR, etc.)
Text mining & unstructured data analytics
Simulation: e.g. MC, dynamic, discrete event
Optimization: e.g. linear programming, heuristic
Familiarity with a broad base of analytics tools (illustrative)
Good knowledge of cloud computing. Knowing Azure is a plus
Data tools: Storage (Azure Datalake, SQL Database, AAS), processing and orchestration (Databricks, ADF, LogicApp), exploration (Power BI, Superset), API Management and Azure Functions for serverless applications
Project management & support : JIRA projects & service desk, Trello, Confluence, Sharepoint
Data science experience in a large company
5-7 years as a Data Scientist with extensive experience in building analytical solutions
Experience in an FMCG company is a strong plus
Data Scientist will report to the head of data
Pernod Ricard values diversity and solidarity within its organization and in its relations with its stakeholders. Our recruitment methods focus on skills and we welcome all types of talent.
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