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Data Scientist with GenAI expertise
Permanent Employment – Copenhagen or greater area, hybrid
We are currently looking for a highly skilled and motivated Generative AI Engineer to join our talented engineering team. As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services.
About Cognizant
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. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.About the Team / Business Unit
Digital is the paradigm of our days – everything is digital or at least smart and is to operate efficiently with the best and newest technology available, delivering insights, improving business and disrupting business models. To be successful, companies will need to demonstrate Digital capabilities to understand and get the best out of their Data, design products that build connections between people and processes, use the latest Technology. Within Cognizant the Digital Business Practice works with Clients across all Industries to help them becoming Digital: transforming their Business, Processes, and IT with a constant view on Business impacts. Human centricity is a key parameter making decisions and building solutions.
About the RoleA Data Scientist with Generative AI Engineering skills is crucial for advancing the field of artificial intelligence and machine learning. They specialize in creating and developing generative models that have the ability to generate new content, such as images, text, and audio, based on patterns and data. Their work enables advancements in various industries, including creative arts, content creation, virtual reality, and data synthesis, expanding AI capabilities and driving innovation in applications that require realistic and creative outputs.
You will need to deliver high quality and innovative data driven solution to our client’s needs. This will include, working within a team on the clients site: understanding the client’s pain, designing an analytical approach, implementing a solution, ensuring it is of high quality, and leading and mentoring junior team member.
About You
Must Haves
Nice to Have/ Your chance to grow
What we offer youJob Value
Compensation Package
Work-Life Balance
Other | Full Time
IT Outsourcing & Consulting
$107k-132k (estimate)
12/24/2023
04/10/2024
cognizant.com
TEANECK, NJ
>50,000
1998
BRIAN HUMPHRIES
$10B - $50B
IT Outsourcing & Consulting
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. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.
The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, Algorithms, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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