Data Science/ AI Prompt Engineer - Temp to Hire

Gallagher Benefit Services is a trusted partner for organizations navigating important people decisions. They are seeking a Data Scientist/AI Prompt Engineer to join their Data Analytics team, focusing on statistical analyses, exploratory data analysis, and providing insights to improve business efficiency.

Responsibilities:

• Perform statistical analyses and exploratory data analysis
• Conduct data research and study the data thoroughly
• Run custom SQL queries and identify patterns and trends
• Provide robust insights, analysis, and analytical reporting to interpret results
• Maintain good relationships with stakeholders
• Learn new skills as per business requirements
• Extract relevant data, cleanse and transform data into insights
• Utilize data analytics, data visualization, and data modeling techniques

Requirements:

• 3+ year of relevant experience
• Technical Bachelor's Degree. Preferably in statistics, computer science, mathematics, or engineering
• Working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python)
• Performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends
• Ability to work as an individual contributor and provide robust insights, analysis and analytical reporting
• Maintain good relationship with stakeholders
• Proactive to learn new skills per business requirement
• Familiar with extraction of relevant data, cleanse and transform data into insights
• Use of data analytics, data visualization and data modeling techniques
• Excellent verbal and written Communication skills
• EXCELLENT knowledge on Statistical analysis: Identify patterns in large datasets
• Expert level knowledge on AI / ML techniques
• Strong knowledge of Python & R, MS Azure ML Studio, AWS, or Google Cloud
• Knowledge of data science toolkits such as R, NumPy, and MatLab
• Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering
• Write computer programs and analyze large datasets to uncover answers to complex problems
• Data storytelling: Communicate actionable insights using data
• 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 NoSQL 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
• Experience working in an Agile environment delivery, including user story grooming and sprint planning
• Ensure compliance with data privacy regulations and maintain data security protocols
• Implement best practices for data handling, storage, and sharing to protect sensitive information
• Strong Data Visualization skills preferably MS PowerBI
• Keeping up to date with the latest tools and trends
• Leverage predictive models to optimize customer experiences
• Creating automated anomaly detection