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Principal Data Scientist Job Opening In New York – Now Hiring Fitch Ratings

Principal Data Scientist

    United States Jobs Expertini Expertini › United States › Jobs › New York › Computer Occupations › Principal Data Scientist

Job description

Fitch Group is currently seeking a principal data scientist, Director for its Emerging Technology AI Center of excellence (COE) group based out of our NY office.

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets.

With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics.

With dual headquarters in London and New York, Fitch Group is owned by Hearst.


Fitch's Technology & Data Team is a dynamic department where innovation meets impact.

Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).

Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients.

We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row.

Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.


Want to learn more about a career in technology and data at Fitch?


Visit:

About the Team 


The Fitch Group Emerging technology AI Center of excellence (COE) group will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization.

The position could be based out of our Chicago or NY offices.


Specific Emerging Technology team objectives are:

  • Data Science and Gen AI/ML technology implementation with business and product owners ​

  • Lead and support other enterprise-level AI exploration tools and capabilities

  • Provide guidance and support for safe development and deployment of AI

    • How You’ll Make an Impact:

  • Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions.

    Ensure sharing best practices and learnings with other squad members.

  • Lead and manage development and research projects focused on generative AI, deep learning, machine learning, NLP, and large language models.

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms that leverage deep learning, NLP and computer vision techniques.

  • Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and integrate them into existing systems and workflows.

  • Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results.
  • Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business

  • Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
  • Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and apply this knowledge to drive innovation within the organization.

  • Mentor and provide guidance to junior data scientists and researchers, fostering a culture of continuous learning and development.

  • Contribute to the creation of intellectual property, such as patents and publications, to enhance the company's competitive edge.

    • You May be a Good Fit if:

  • or master’s degree in computer science, Data Science, Machine Learning, or a related field.

  • A minimum of 7 years of experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models.

  • Proven track record of developing and deploying successful deep learning and NLP models in real-world applications.

  • Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlow or similar.

  • Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar.
  • Proficiency in machine learning and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc.

  • Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s.
  • Excellent problem-solving skills and the ability to think critically and creatively.

  • Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment.
  • Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc.

  • Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services AWS Bedrock, AWS S3, AWS Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc.

    • What Would Make You Stand Out:

  • Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers

  • Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment

  • Familiarity with credit ratings agencies, regulations, and data products around the world

  • Outstanding written and verbal communication skills

  • A champion of good code quality and Data science practices.

  • Strong interpersonal skills and ability to work proactively and as a team player

    • Why Choose Fitch:

  • Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location

  • A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity

  • Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals

  • Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing

  • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively

  • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe

  • Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

    • Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions.

    To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest.Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment.

    If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

    Fitch is proud to be an Equal Opportunity and Affirmative Action Employer.

    We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

    FOR NEW YORK AND CHICAGO ROLES ONLY: Expected base pay rates for the role will be between 170,000 and 200,000 per year.

    Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors.

    Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Fitch Ratings adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Principal Data Scientist Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in New York. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Principal Data Scientist?

    Key qualifications for Principal Data Scientist typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Principal Data Scientist Job Success

    Fitch Ratings interview tips for Principal Data Scientist

    Here are some tips to help you prepare for and ace your Principal Data Scientist job interview:

    Before the Interview:

    Research: Learn about the Fitch Ratings's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

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    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Principal Data Scientist interview at Fitch Ratings, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Fitch Ratings's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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