What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of 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. And this is your chance to be part of the success story: we are looking a Principal Data Scientist to join our AIA Team.
About Cognizant AIA practice
Every functional area, in every industry, is on an AI Journey. The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel every large organization is on an AI journey, the path to value is unclear.
There are three key barriers to deploying AI and machine learning at scale:
Building data pipelines that feed both the development and deployment of machine learning models
Improving consistency, reducing effort and expanding the ability of data scientists to address the growing range of business problems from prediction to prescription
Building out the necessary infrastructure to support 100s of machine learning models in production, including the necessary governance and compliance patterns
At Cognizant, we are proud to be helping our clients on their journey to AI at scale. We’ve built practices that bring together the best talent to address these key barriers, and have built unique capability to complement our people:
Our Adaptive Data Foundation brings together our accelerators, partnerships and consulting approach to help clients solve the increasing demands for data
Our Evolutionary AI technology and patents is reducing the effort required to develop deep learning and other sophisticated models. It’s particularly adept at addressing prescription problems, from marketing to next best action to supply chain
Our architecture frameworks help clients navigate technology choices throughout the AI process. As well as building capability in close collaboration with the leading cloud providers, we are working with start-ups that address the critical engineering challenges that machine learning brings
Client demand has meant that we are growing these practices at an unprecedented rate. We are looking for people that can bring existing strengths in data engineering and data science but we want to hire people that share our vision and want to grow their own skills across the problem space.
Are you passionate about transforming and shaping leading organizations? Do you enjoy providing solutions to complex life sciences and business problems enabling clients to achieve their organizational objectives? Would you like to be part of the Data Sciences and Artificial Intelligence team as a major contributor on large life sciences deals, which will have a real impact on the company’s success?
Come, join our team in Europe as a Senior Data Scientist - Health & Life Sciences, and be part of our exciting growth.
We offer you an environment where everyone's opinion matters, ideas are openly shared, where change is the norm and where you will work with some of the fastest moving, well-recognized brands in the world.
Who are we?
We are a focused Data Science Practice within Cognizant’s AI & Analytics organization. We support Cognizant engagements across Life Sciences and Healthcare client industry verticals.
Our pedigreed team of Ph.D.’s or Master’s degree holders; engage with senior customer stakeholders, to translate strategy and vision into digital journeys, across diverse business challenges using various Data Science tools, technologies ecosystems and partnerships.
What will you do?
We are looking for enthusiastic Senior Data Scientists with 4+ years of expertise in building and deploying models within Health & Life Sciences, who have an eagerness to learn and deliver large complex Digital Transformation programs across Europe. As a Senior Data Scientist, you will be well versed in understanding business challenges and theoretical insights, and implementing them as a working code. Having worked on Data Science projects and or AI projects in an Agile environment.
Your key responsibilities will be:
Apply mathematical concepts to answer real world business challenges by using disparate available datasets; both structured and unstructured
Use data science tools and techniques to prototype and develop statistical / Machine learning models to solve business problems
Communicate results and hypothesis to key decision makers; both business and technical audiences
Running multiple analytical experiments; analyzing, interpreting and translating results into business narratives
Establish and maintain effective working relationships with all stakeholders relevant to the achieving of business objectives
Experimenting with new age Data Science tools, technology and platforms
Work in joint multi skilled internal teams to develop joint ‘Go To Market’ propositions
Lead specialist experienced in managing multidisciplinary teams
Experienced in clients’ engagement and project / product ownership
What experience are we looking for?
Academic background in Bioinformatics, Computational Biology/Pharmacology or related computational field with exposure to Molecular Biology, Genetics, and Biochemistry
Experienced in understanding scientific challenges and theoretical insights in research and clinical domain of within Life Sciences industry, and implementing them as a working code
Hands on experience on various Machine Learning tools, libraries and development platforms
Experience in working with different omics data sets and identifying omics-based markers
Experience in reconstructing regulatory and interaction graph networks and visualizations
Understanding of biomarkers and drug compound analysis in context of target identification
Experience in working across the Data Science spectrum; Data extraction / transformation, Model prototyping, validation and deployment
Building Predictive and/or prescriptive Machine Learning models
Experience in developing Deep Learning and other sophisticated models, leveraging complex unstructured data
Experience in working with large data sets on distributed computing tools
Experience in SQL and NoSQL databases
Expertise or exposure to the following will be good to have else we will be enable you with the required training
Experience in Tools such as: R, Python or Tensoflow and Keras
Building Models in Data Science Ecosystems such as: AWS, Azure or Google (GCP)
Experience in Model Deployment ecosystems: Scala, Kafka/Spark, AWS, Azure or GCP
Good to have exposure: Niche Platforms such as Data Robot or Dataiku and similar. Visualisation tools like: Qlikview, Tableau or similar
What you can expect
Become part of a ‘flag ship’ success story - We go through enormous growth!
Based in the Benelux – we have offices in Amsterdam, Eindhoven and Brussels within an European and Global network
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
Employee Status : Full Time Employee
Shift : Day Job
Travel : No
Job Posting : Jan 28 2021
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 194 on the Fortune 500 and is consistently listed among the most admired companies in the world.