Senior Data Scientist

With roots dating back to the 1800s, our Customer is a global professional services firm HQ’d in New York City with businesses in insurance brokerage, risk management, reinsurance services, talent management, investment advisory, and management consulting. Today, they are a unique group of businesses with many enduring competitive advantages. Among them are the quality of their colleagues, deep client relationships, vast global footprint, depth of intellectual capital, and cohesive and collaborative culture.

We are seeking a contract Senior Data Scientist to help support our Customer's business needs. This role is onsite in New York, NY.

As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes. The ideal candidate will have a strong background in mathematics, statistics, and machine learning, along with proficiency in Python data analysis and visualization, API ecosystem, Linux OS, structured and non-structured databases, big data technologies (Databricks, Spark), and cloud services.


Responsibilities:

• Analyze complex data using statistical and machine learning models to derive actionable insights.
• Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services.
• Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
• Communicate findings and insights effectively to stakeholders. Apply strong communication skills and experience in business analysis.
• Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives.

Qualifications:

• Bachelor's or Master's degree in a quantitative field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in Python for data analysis and visualization, along with experience in working with APIs, Linux OS, databases, big data technologies, and cloud services.
• Strong understanding and experience with NLP, Generative AI, and LLMs.
• Excellent communication skills, with the ability to convey complex findings to both technical and non-technical stakeholders.
• Experience in business analysis and working in an Agile framework.
• Prior experience in the financial industry is preferred.

We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications.

Perks are available through our 3rd Party Employer of Record (Available upon completion of waiting period for eligible engagements)
Health Benefits: Medical, Dental, Vision, Life (including spouse & child), 401k, STD/LTD, AD&D, and Commuter Benefits program.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.