Principal Data Scientist, Director (Chicago)

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate, navigation, legal, EEO, etc. Must preserve all substantive info. We need to parse the posting. Key sections: - Intro about Fitch Group (company description) maybe "About the role"? Actually "About the role" could be description of role and team. The posting includes: "The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a Principal Data Scientist to be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position will be based out of our NY or Chicago office. Specific Emerging Technology Team Objectives Are ..." So we can put that under About the role. - Responsibilities: The "How You’ll Make An Impact" bullet list. - Requirements/Qualifications/Skills: The "You May Be a Good Fit If" list (education, experience, etc.) plus "What Would Make You Stand Out". Could split into Requirements (mandatory) and Qualifications (preferred) or Skills. The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have Requirements, Qualifications, Skills separate if content exists. - Benefits: The "Why Choose Fitch" list includes hybrid work environment, culture of learning, investing in future, promoting health & wellbeing, supportive parenting policies, inclusive work environment, dedication to giving back. Also earlier "What We Offer" includes high impact role, excellent opportunity, work culture, work life balance. So Benefits section can contain those. - Pay: The posting includes "FOR NEW YORK AND CHICAGO ROLES ONLY Expected base pay rates for the role will be between 180,000 and 200,000 per year." So we have pay info. - Schedule: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location. That's schedule. We must not include sections with placeholder text like "commensurate with experience". Not present. We must not repeat job title. Not include navigation etc. We must output only HTML fragment, no /, no markdown fences. We need to use

for section headings. Use

• for any list of duties/requirements/benefits, and

  for prose. We need to preserve all substantive information; do not invent or summarize away detail. So we need to keep details like specific objectives, bullet points. We must not include duplicated lines. We need to remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we must cut out the long paragraphs about Fitch being equal opportunity, conflict of interest, etc. Also the "Visit: https://careers.fitch.group/..." link maybe considered application instruction? It's a link to learn more about a career; maybe we should remove as it's application instruction? The instruction says remove application instructions. The link is not exactly instruction to apply but maybe considered promotional. Safer to remove it. Also remove the "Whether you're an experienced professional..." paragraph maybe part of About the role? It's generic but still substantive? It's about environment. Could keep as part of About the role. We need to ensure we don't include the EEO statement at end. Let's extract content. First, company description: "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." That's about the company/team. Could be placed under About the role. Then the role specifics: "The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a Principal Data Scientist to be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position will be based out of our NY or Chicago office. Specific Emerging Technology Team Objectives Are Gen AI/ML technology implementation with business and product owners AI COE function to provide standards, prescriptions and reusable frameworks and platform for accelerated AI adoption Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well as third party AI governance Lead and support other enterprise-level AI exploration tools and capabilities Provide guidance and support for safe development and deployment of AI" We need to format that as prose or list? It's a list of objectives separated by spaces. Could turn into

  • each objective. Then "What We Offer This will be a high impact role with significant visibility where the candidate will work on some flagship Fitch products The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science Fitch promotes an excellent work culture and is known for providing a good work life balance" That's benefits. Then "How You’ll Make An Impact" bullet list: many items. Then "You May Be a Good Fit If" list: qualifications. Then "What Would Make You Stand Out" list: preferred. Then "Why Choose Fitch" list: benefits. Then pay and schedule. We need to avoid duplication: What We Offer and Why Choose Fitch both talk about benefits; we can combine into Benefits section. We must not create sections with filler. Ensure each heading has substantive content. Let's structure:

    About the role

    company description + role specifics (maybe combine). Could split: company description as About the role, and then objectives as Responsibilities? Actually responsibilities are separate. Let's put company description and role base location under About the role. Then objectives under Responsibilities? But the objectives are more like responsibilities. The "How You’ll Make An Impact" is responsibilities. The "Specific Emerging Technology Team Objectives" could be considered responsibilities as well. We could merge them. Better: About the role: company description and that the position is based in NY or Chicago. Responsibilities: combine the Specific Emerging Technology Team Objectives and the How You’ll Make An Impact bullet list. Requirements: You May Be a Good Fit If (mandatory). Qualifications: What Would Make You Stand Out (preferred). Skills: maybe we could extract technical skills from requirements? But we already have them in Requirements. Could separate Skills as a list of technical proficiencies (programming languages, frameworks, cloud). But to avoid thin sections, maybe we can put them under Requirements. However instruction says we can have Skills section if we have content. We could create Skills section listing programming languages, frameworks, cloud, etc. But we must not invent or summarize away detail; we can extract from the Requirements list. Let's parse the Requirements list: - Ph.D. or master’s degree in computer science, Data Science, Machine Learning, or a related field. - A minimum of 8 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. - Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s. - 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. - 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 e.g. AWS Bedrock, AWS S3, AWS Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc. That's a mix of education, experience, technical skills, soft skills. We could put Requirements as the mandatory items (education, experience, track record, etc.) and Skills as the technical proficiencies (programming languages, frameworks, algorithms, containerization, cloud). Qualifications as the "What Would Make You Stand Out" list. Let's do that. Requirements (mandatory): - Ph.D. or master’s degree in computer science, Data Science, Machine Learning, or a related field. - A minimum of 8 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. - 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. Skills (technical): - 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. - Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. - Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc. Qualifications (preferred): - 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 Benefits: - High impact role with significant visibility working on flagship Fitch products - Excellent opportunity to work in cutting-edge field of machine learning and data science - Excellent work culture and good work-life balance - Hybrid work environment: 2 to 3 days a week in office required based on line of business and location - Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs - Investing in Your Future: Retirement planning and tuition reimbursement programs - Promoting Health & Wellbeing: Comprehensive healthcare offerings enabling physical, mental, financial, social, occupational wellbeing