Data Scientist

Introduction

We believe that every candidate brings something special to the table, including you! So, even if you feel that you’re close but not an exact match, we encourage you to apply. We’d be thrilled to receive applications from exceptional individuals like yourself.

Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers.

Overview

We are seeking a data scientist 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, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products’ and services’ efficiency and usability. Should 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 relationship with stakeholders. Should 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.

How You'll Make An Impact

• Statistical analysis: Identify patterns in data. 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, NumPy, and MatLab.
• 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 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.
• Strong Data Visualization skills preferably MS PowerBI.
• Keeping up to date with the latest tools and trends.
• Excellent verbal and written Communication skills
• Leverage predictive models to optimize customer experiences.
• Creating automated anomaly detection.
  
  

About You

• Technical Bachelor’s Degree. Preferably in statistics, computer science, mathematics, or engineering.
• 3+ year of relevant experience.
• Strong domain knowledge.
• Should be ready work in shifts.
  
  

Additional Information

We value inclusion and diversity

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.