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