Description
In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clients' business growth ultimately.
Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth.
Your Impact
- Core areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data
- Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments
- You'll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them
- You'll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on
- You'll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviour
- You'll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businesses
- You'll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.)
- You'll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal)
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Qualifications
Benefits of working here:
- We work with cutting-edge technology, which has always been part of our DNA and we want our employees to define what technologies our clients use next
- We provide many learning opportunities to deepen your skillset and support your professional growth
- We offer numerous discounts on travel, cultural and leisure activities.
- We put the well-being of our people first and organize various health initiatives
- We offer you a vibrant workplace culture with many different community events throughout the year
As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.
Additional Information
Publicis Sapient is a digital transformation partner helping established organizations get digitally enabled, both in the way they work and how they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity.
As digital pioneers with 20,000 people and 53 offices worldwide, our experience spanning technology, data sciences, consulting, and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com.
Company Description
In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clients' business growth ultimately.
Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth.
Your Impact
- Core areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data
- Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments
- You'll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them
- You'll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on
- You'll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviour
- You'll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businesses
- You'll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.)
- You'll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal)