Artificial Intelligence Architect

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. Moreover, this is your chance to be part of the success story: we are looking for an Artificial Intelligence Architect

About Cognizant Digital Business
Cognizant Digital Business (CDB) practice brings together strategy and execution capabilities to optimize software development for today’s business. Cognizant AI & Analytics applies deep experience in data management, industry domain, human insight and integration to leverage data, AI and analytics to drive more relevant products, services and personalized experiences, improving productivity and accelerating client’s growth.
More information? Please visit https://be.cognizant.com/sites/cognizant-digital-business/SitePage/285308/cognizant-digital-business-

Job description
Deliver insightful presentations of analysis and business results to business unit leaders.
Develop analytics proof of concepts on emerging trends in different vertical areas to develop new analytical PoC´s for Competency centre.
Evaluate and compare algorithm performance based on large, real-world data sets
Work with large volumes of data and apply ML techniques towards real product and business problems.
Work with product/business owners to map business requirements into products productized solutions and/or working prototypes of ML algorithms.
Leverage data to analyze the business unit function, identify the business drivers and recommend strategy and future course of actions.
Conceptualize modeling framework, define data requirement, create predictive variables and co-ordinate model implementation with other business partners, and create experimental designs to understand drivers of business performance.
Hands on programming in Python, SAS and/or R



Desired Skills and Experience
Excellent communication skills, both verbal and written
Strong analytical and problem-solving skills
Expertise in developing business presentations.
Fundamental understanding of advanced analytical practices – data preparation & wrangling, big data visual exploration and data mining concepts
Expert level skills in leading program management efforts involving the coordination of resources and goals across multiple related projects.
Good knowledge of data architecture fundamentals and industrial trends on big data usage
Advanced Excel skills, strong data science, analysis, and problem-solving skills
Expert level experience developing and monitoring delivery of efficient and effective solutions to diverse and complex business problems.


What you can expect
Become part of a ‘flag ship’ success story - We go through enormous growth!
Organization driven by technology – We have a tremendous technology backbone
Open, ‘can do’ team spirit
Environment where you can make your own ideas reality
Drive your own career
Market conform benefits



Diversity and Inclusion at Cognizant


At Cognizant, we believe diversity and inclusion are at the heart of our ability to execute successfully and consistently over the long term. We recognize that our people are our most important asset. We strive to create an environment where all associates feel comfortable to be themselves, feel accepted and can therefore thrive both personally and professionally. We continue to drive D&I throughout our organization to unlock the insights, imagination and innovation of our associates, as well as reflect the diversity of our clients and communities. We are a European Top Employer and continually drive employment recognition and engagement through employee-friendly policies and affinity groups such as “Women in Cognizant Consulting”, “Women Empowered”, “Embrace LGBTQ+” and “Race Equality Network”.