Stage Post laurea - 23 days ago
Stage Post laurea - 23 days ago
Junior Data Analyst Stageur

Junior Data Analyst Stageur

Informatica e Tecnologia
Informatica e Tecnologia
RomaPaid Job

Unilever è una delle principali aziende di beni di consumo a livello mondiale che opera nei mercati Food & Refreshment, Home Care, Beauty & Personal Care. Radicata in oltre 190 paesi in tutto il mondo raggiunge, attraverso i suoi prodotti, 2,5 miliardi di consumatori ogni giorno. Unilever impiega oltre 149.000 persone globalmente e nel 2020 ha generato un fatturato di €50,7 miliardi. Il suo portafoglio include oltre 400 brand tra cui gli iconici Dove, Sunsilk, Mentadent, Knorr, Calvé, Algida, Magnum, Lipton, Svelto e Coccolino. L'obiettivo principale di Unilever è essere leader globale nella sostenibilità e dimostrare come il proprio modello di business purpose-led e future-fit sia in grado di produrre una performance superiore. Per questo motivo è da sempre è impegnata ad essere un’azienda innovativa e responsabile. Per ulteriori informazioni su Unilever e i suoi marchi potete visitare il sito www.unilever.it.

Main Job Purpose
Unilever Food Solutions (UFS) has traditionally been using account managers to engage with chefs of food serving establishments (restaurants, hotels, caterings, etc.). 

The focus of UFS marketing and sales is to engage chefs with our platform and make them buy our products. This achieved by continuous integrated communication via visits of sales representatives and through digital touchpoints like the UFS.com website / web shop, the segmented & personalized campaigns and the UFS apps. Data plays a crucial role in the success of these touchpoints.

Data Science is key when it comes to offering a custom-made experience for each customer. Whether it is through offline touchpoints like the sales representatives and call centers or through the online touchpoints like the ufs.com website/shop, email or app. Data Science enables marketing and sales to offer each customer the right products and services. Using the best fitting touchpoint and incentive to convince the customer to take the deal. And last but not least creating an overview of all the customers out there in the local market and directing marketing and sales to the ones that are most valuable. In other words: data driven business starts with the Data Science.

 
Job Summary

Within the global data platform, all the data from local sources and global sources is stored and integrated. The data scientists develop the core algorithms that turns this data into scores, business rules and recommendations. You are responsible for deploying these algorithms in the Italian  market.

Do you have a sense for business and for technology? Do you like coding? Are you open for learning new technologies and working with a state-of-the-art data science environment?

Our architect is based on Spark and Python Technology and Databricks as our main scheduling tool. All our models are developed as Python eggs and Spark is used for distributing heavy calculations across our cloud based clusters. We also use Power BI as main reporting tool for both daily reporting and performance reporting.

Day to day activities

As a junior model deployer you will be part of the Business Excellence team. The following actions are needed from your side:

- Read up and understand the available packages
- Create a script / list of packages that enables the set-up of the appropriate environment
- Create a pipeline that prepares the data for the market and algorithm
- Implement the available algorithm
- Create a package that applies the appropriate business ruling that fits the algorithm to the specific market needs
- Integrate Local Data within Global Data infrastructure
- Create Power BI report

Key Desired Requirements

- Power BI
- SQL
- Python
- Spark
- Predictive Modeling
- Git
- 1-2 years of experience will be considered a plus

We expect a great enthusiasm for deploying predictive models into the Italian market, but also for understanding our local requirements that need to be translated into business ruling.

Descrizione dell'azienda
Unilever è una delle principali aziende di beni di consumo a livello mondiale che opera nei mercati Food & Refreshment, Home Care, Beauty & Personal Care. Radicata in oltre 190 paesi in tutto il mondo raggiunge, attraverso i suoi prodotti, 2,5 miliardi di consumatori ogni giorno. Unilever impiega oltre 149.000 persone globalmente e nel 2020 ha generato un fatturato di €50,7 miliardi. Il suo portafoglio include oltre 400 brand tra cui gli iconici Dove, Sunsilk, Mentadent, Knorr, Calvé, Algida, Magnum, Lipton, Svelto e Coccolino. L'obiettivo principale di Unilever è essere leader globale nella sostenibilità e dimostrare come il proprio modello di business purpose-led e future-fit sia in grado di produrre una performance superiore. Per questo motivo è da sempre è impegnata ad essere un’azienda innovativa e responsabile. Per ulteriori informazioni su Unilever e i suoi marchi potete visitare il sito www.unilever.it.
Mansioni

Main Job Purpose
Unilever Food Solutions (UFS) has traditionally been using account managers to engage with chefs of food serving establishments (restaurants, hotels, caterings, etc.). 

The focus of UFS marketing and sales is to engage chefs with our platform and make them buy our products. This achieved by continuous integrated communication via visits of sales representatives and through digital touchpoints like the UFS.com website / web shop, the segmented & personalized campaigns and the UFS apps. Data plays a crucial role in the success of these touchpoints.

Data Science is key when it comes to offering a custom-made experience for each customer. Whether it is through offline touchpoints like the sales representatives and call centers or through the online touchpoints like the ufs.com website/shop, email or app. Data Science enables marketing and sales to offer each customer the right products and services. Using the best fitting touchpoint and incentive to convince the customer to take the deal. And last but not least creating an overview of all the customers out there in the local market and directing marketing and sales to the ones that are most valuable. In other words: data driven business starts with the Data Science.

 
Job Summary

Within the global data platform, all the data from local sources and global sources is stored and integrated. The data scientists develop the core algorithms that turns this data into scores, business rules and recommendations. You are responsible for deploying these algorithms in the Italian  market.

Do you have a sense for business and for technology? Do you like coding? Are you open for learning new technologies and working with a state-of-the-art data science environment?

Our architect is based on Spark and Python Technology and Databricks as our main scheduling tool. All our models are developed as Python eggs and Spark is used for distributing heavy calculations across our cloud based clusters. We also use Power BI as main reporting tool for both daily reporting and performance reporting.

Day to day activities

As a junior model deployer you will be part of the Business Excellence team. The following actions are needed from your side:

- Read up and understand the available packages
- Create a script / list of packages that enables the set-up of the appropriate environment
- Create a pipeline that prepares the data for the market and algorithm
- Implement the available algorithm
- Create a package that applies the appropriate business ruling that fits the algorithm to the specific market needs
- Integrate Local Data within Global Data infrastructure
- Create Power BI report

Requisiti

Key Desired Requirements

- Power BI
- SQL
- Python
- Spark
- Predictive Modeling
- Git
- 1-2 years of experience will be considered a plus

We expect a great enthusiasm for deploying predictive models into the Italian market, but also for understanding our local requirements that need to be translated into business ruling.

Alcuni vantaggi di questa opportunità
Alcuni vantaggi di questa opportunità
Formazione Team buildingAmbiente dinamicoFormazione on the job

Capacità di comunicazione

Git

Python

SQL server

Power BI

Analisi dati

SAS

Unilever | Consumer Goods
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Capacità di comunicazione

Git

Python

SQL server

Power BI

Analisi dati

SAS