Other Requirements:

• Big Data

• Artificial Intelligence

• Machine Learning

• Natural Language Processing

• Kafka

• Kubernetes

• Docker

• K8S

• Hadoop

• Spark

• ELK Stack

• Open Search

• Elastic Search

• Cloud

• Microservices

• Spring Boot

• Python

• Java

• Scala

• SQL

Benefits:

• Flexible working environment

• Volunteer time off

• LinkedIn Learning

• Employee-Assistance-Program (EAP)

• Internal trainings will be provided together with detailed onboarding agenda.

Education Requirements:

• Master degree

Other Requirements:

• Excellent analytical and numerical reasoning skills

• Excellent interpersonal and teamwork skills

• Interest in the FMCG industry

• Proficient in Microsoft Office Suite, especially Word, Excel, and Powerpoint (SQL would be a plus)

• Fluency in Italian & English

Responsibilities:

• The intern will execute projects with limited supervision by compiling, analyzing, and interpreting sales data and constructing presentations.

• The intern will acquire skills related to the FMCG and distribution market, familiarize themselves with the tools and metrics primarily used by Retailers to address competitors and market trends.

Benefits:

• Flexible working environment

• Volunteer time off

• LinkedIn Learning

• Employee-Assistance-Program (EAP)

• Internal trainings will be provided together with detailed onboarding agenda.

Education Requirements:

• Degree in Management, Economics, Marketing, Statistics, Information Management

Other Requirements:

• Native in Italian and good level of English

• Excellent analysis and numerical reasoning skills

• Excellent interpersonal and teamwork skills

• Interest in the consumer goods market

• Knowledge of Office Packages (Excel, PowerPoint)

Responsibilities:

• Support Customer Success executives in analyzing in-market data, studying results, and summarizing insights in emails, reports, and slides

• Manage basic client requests

• Deliver insights on FMCG/retail phenomena and consumer behaviors

• Be point of contact and interface with several company departments, in order to be a collector among them and the clients

• Prepares and delivers quantitative analysis and presentations (category overview as well as issue based) building a story and finalizing conclusions and proposes recommendations.

Benefits:

• Flexible work schedules

• Two weeks PTO

• Nine paid holidays

• One week sick time

• Medical, dental, and vision coverage (for you and your dependents)401K plan with company matchLife insuranceShort and long-term disabilityHSAFSALegal adviceOn-site gym (some locations)Free snacks and drinks (some locations)Weekly company-sponsored happy hours (some locations)Parking, gas, or public transit benefits (some locations)Annual "day of service"Employee ownership shares

Benefits:

• 8 full weeks per year of full remote

• Hybrid work model

• Mobility expenses

• Yearly public transport subscriptions or an ecologic voucher

• Good life-work balance

Experience Requirements:

• 4+ years of experience in the latest ML/AI algorithms, Python/Pyspark, Data science stack

Other Requirements:

• Team player

• Strong communicator

• Passion for finding pragmatic and smart solutions

• Solid understanding of math and statistics

• Basics of SQL

• Mastery of Jupyter, pandas, NumPy, matplotlib/seaborn, and scikit-learn

• Ability to write clean and maintainable Python code

• Proficient in English

Responsibilities:

• Designing experiments, testing hypotheses, and building models

• Conducting advanced data analyses and highly complex algorithms

• Discovering insights and identifying opportunities

• Providing data that is congruent and reliable, and validating findings

• Proposing innovative ways to look at problems

Responsibilities:

• Conducting research and developing algorithms for computer vision and machine learning.

• Implementing and testing algorithms on real-world data.

• Working with the engineering team to integrate algorithms into products and services

Responsibilities:

• Building and maintaining tools and infrastructure that enable customers to build, test, and deploy software.

• Ensuring the availability, performance, scalability, and security of systems

Responsibilities:

• Deploying, automating, maintaining, and managing AWS cloud-based production systems.

• Ensuring the availability, performance, scalability, and security of systems

Benefits:

• Culture and perks

• Competitive salary

• Flexible working hours and smart working policy

• An international working environment and a passionate team

• A variety of challenging and exciting tasks

Benefits:

• Culture and perks

• Competitive salary

• Flexible working hours and smart working policy

• An international working environment and a passionate team

• A variety of challenging and exciting tasks

Benefits:

• Culture and perks

• Competitive salary

• Flexible working hours and smart working policy

• An international working environment and a passionate team

• A variety of challenging and exciting tasks

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree in Computer Science, Engineering, or related technical fields

Experience Requirements:

• Proven work experience as a Software Developer, Software Engineer or similar role

Other Requirements:

• Excellent teamwork skills

• Good knowledge of Java programming language

• Good knowledge of the Spring framework

• Creativity and ability to formulate problems and solve them both in team and independently

• Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

• Attention to detail

• Fluent in English both spoken and written

Responsibilities:

• Writing and implementing clean and efficient code

• Researching, designing, implementing and managing software

• Troubleshoot, debug and upgrade existing software

• Identifying areas for modification or improvement in existing software and subsequently developing these modifications

• Developing quality assurance procedures

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Bachelor’s degree, Master’s degree or currently pursuing a degree in Economics, Finance, Marketing & Communications or other related fields

Other Requirements:

• Clear and effective communication, analysis and time management skills

• Analytical mindset

• Proactive and creative problem solver who is able to take responsibility and work effectively with other members of the team to deliver great results

• Proficient English level (C1 or above)

Responsibilities:

• Ideating and improving materials that are shared with clients and prospects

• Creating, adapting and developing eye-catching content for media and stakeholders

• Using insight, analyses, and benchmarks in guiding communication decisions

• Creatively converting data into engaging and intuitive documents

• Maintaining high-quality design and consistency across all types of content

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 2+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research

Other Requirements:

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

• Excellent teamwork skills

• Creativity and ability to formulate problems and solve them both in team and independently

• Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

Responsibilities:

• Researching, designing and implementing appropriate machine learning algorithms

• Selecting appropriate datasets and data representation methods

• Running machine learning tests, experiment and performing statistical analysis

• Present in a clear and concise way complex results using intuitive and beautiful data visualizations

• Extending existing AI/ML libraries and frameworks

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Bachelor’s or Master’s degree in Economics, Business Administration, Engineering or related fields

Experience Requirements:

• 1+ years work experience (including internships)

Other Requirements:

• Clear and effective communication, analysis and time management skills

• Analytic mindset and proficiency with Microsoft Office applications

• Proactive and creative problem solver who is able to take responsibility and work effectively with other members of the team to deliver great results

• Proficient English level (C1 or above)

Responsibilities:

• Supporting the COO and senior management in day-to-day operations, in set up product solutions and managing clients

• Creating outstanding presentations and documents to be shared with clients and prospects

• Being the point of contact between Business and R&D department, following new projects and all the related activities

• Preparing and structuring commercial documentation and marketing material

• Proposing developments to improve clients' experience and making the company’s processes more efficient

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 1+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research

Other Requirements:

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

• Excellent teamwork skills

• Creativity and ability to formulate problems and solve them both in team and independently

• Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

• Fluent in English both spoken and written

Responsibilities:

• Work directly both with our R&D division and with our Mission Control team on data analytics projects using our internal tools, spreadsheets and Python scripts for exploratory data analysis, modeling, visualization, performance evaluation and report generation

• Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process

• Evaluating and interpreting the outputs of the models from an economic and financial point of view.

• Producing clear written summaries of research results

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• 1+ years experience working as frontend developer

Other Requirements:

• Coding experience with TypeScript

• Knowledge of REST API

• Experience with GIT and software versioning

• Outstanding communication skills

• Fluent in English both spoken and written

Responsibilities:

• Develop interfaces for both the main product of the company and internal applications using TypeScript and React

• Lead the adoption of frontend best-practices within the company

• Collaborate with technical team members as well as business partners to define problems, requirements and meet deadlines

• Research and develop novel solutions and as part of a team

• Produce robust, reliable, scalable high quality solutions to further product development