Data Science​/AI Prompt Engineer - Temp

Introduction

At Gallagher Benefit Services, you’re a trusted partner to organizations navigating some of their most important people decisions. We help clients build better workplaces, where people feel supported, empowered, and inspired to thrive. Whether it’s shaping benefit strategies, designing wellbeing programs, or advising on workforce challenges, the work you do here creates meaningful change for businesses and the people who power them.

We’re a community of bold explorers, trusted experts, and compassionate partners; working side by side to solve problems, and shape the future of work. Here, curiosity is encouraged, collaboration is second nature, and your ideas have room to grow. If you’re looking for a place where your contribution matters and where you can help build a better world of work;

think of Gallagher.

We are seeking a data scientist/AI Prompt Engineer to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, studying the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products’ and services’ efficiency and usability.

Be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationships with stakeholders. Be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques.

• This is a Temp‑To‑Hire, W‑2 position. We are not able to do 1099 or C2C.
• It is a fully remote role that will need to be based in the U.S.
• You must meet our U.S. Eligibility requirements for work authorization as noted under "Additional Information" at the bottom of the job description.

• Statistical analysis
  :
  Identify patterns in large datasets. This includes having a keen sense of pattern detection and anomaly detection.
• Artificial Intelligence & Machine Learning Techniques
  :
  Expert level knowledge on AI / ML techniques. Implement algorithms and statistical models to enable a computer to automatically learn from data.
• Strong knowledge of Python & R, MS Azure ML Studio, AWS, or Google Cloud
  .
• Knowledge of data science toolkits such as R, Num Py, and Mat Lab.
• Computer science
  :
  Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
• Programming
  :
  Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Python, Java, R, and SQL.
• Data storytelling
  :
  Communicate actionable insights using data, often for a non‑technical audience.
• Analytical thinking
  :
  Find analytical solutions to abstract business issues.
• Business intuition
  :
  Connect with stakeholders to gain a full understanding of the problems they’re looking to solve.
• Interpersonal skills:
  Communicate across a diverse audience across all levels of an organization.
• Critical thinking
  :
  Apply objective analysis of facts before coming to a conclusion.
• Inquisitiveness
  :
  Look beyond what’s on the surface to discover patterns and solutions within the data.
• Perform data mining, exploration, and analysis.
• Ability to store and process unstructured data with No
  
  SQL databases and machine learning models.
• Design, train, and implement machine learning algorithms.
• Strong attention to detail and accuracy of output.
• Advanced knowledge of SQL and Excel.
• Agile Delivery
  :
  Experience working in an Agile environment delivery, including user story grooming and sprint planning, development, and user acceptance.
• Compliance & Security
  :
  Ensure compliance with data privacy…