Job Description
Job Summary
We are seeking a highly skilled Senior Data Scientist with 10 to 14 years of experience to join our team. The ideal candidate will have expertise in Azure Machine Learning Azure Open AI Service Machine Learning Artificial Intelligence Natural Language Processing and Python. Experience in Investment Banking Operations and Investment Banking & Brokerage is a plus. This is a hybrid work model with day shifts and no travel required.
Responsibilities
- Develop and implement advanced machine learning models to solve complex business problems.
- Utilize Azure Machine Learning and Azure Open AI Service to enhance data processing and model deployment.
- Apply artificial intelligence techniques to improve decision-making processes.
- Conduct natural language processing to extract insights from unstructured data.
- Write efficient Python code to support machine learning and AI projects.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Analyze large datasets to identify patterns and trends that can inform business strategies.
- Provide technical guidance and mentorship to junior data scientists.
- Ensure the scalability and reliability of machine learning models in production environments.
- Stay updated with the latest advancements in machine learning and AI technologies.
- Communicate findings and recommendations to stakeholders through clear and concise reports.
- Contribute to the continuous improvement of data science practices and methodologies.
- Support the development of data-driven products and services that align with the companys goals.
Qualifications
- Possess a strong background in Azure Machine Learning Azure Open AI Service Machine Learning Artificial Intelligence Natural Language Processing and Python.
- Demonstrate experience in Investment Banking Operations and Investment Banking & Brokerage is a plus.
- Exhibit excellent problem-solving skills and the ability to work independently.
- Showcase strong communication skills to effectively convey technical concepts to non-technical stakeholders.
- Have a proven track record of successfully deploying machine learning models in production environments.
- Display a commitment to continuous learning and staying current with industry trends.
- Show proficiency in data analysis and statistical methods.
- Demonstrate the ability to work collaboratively in a hybrid work model.
- Possess strong organizational skills and attention to detail.
- Exhibit the ability to mentor and guide junior team members.
- Show experience in developing data-driven solutions that drive business value.
- Demonstrate the ability to manage multiple projects and meet deadlines.
- Possess a passion for leveraging data to make a positive impact on the companys objectives.
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don't just dream of a better way - we make it happen.
- We take care of our people, clients, company, communities and climate by doing what's right.
- We foster an innovative environment where you can build the career path that's right for you.
About us:
Cognizant 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 (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at
Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Job Tags
Full time, Local area, Shift work, Day shift,