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Are you an experienced Data Scientist, and you love what you do? Would you like to be a part of a global customer facing Team focussed on solving complex, real-world business problems? Would you like to be a part of a worldclass community of technical leaders, highly specialised in their disciplines and working together as one to bring the best practices of Artificial Intelligence, Machine learning, Engineering and Architecture to world’s largest enterprise customers? The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data & AI. EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions. We are hiring a Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence. Our team embraces a continuous learning and growth mindset, encourages diverse viewpoints and relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact economy and people worldwide.
Job Responsibility:
Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
Acquire, prepare, and explore data through querying, visualization, reporting techniques, and collaboration with other teams, ensuring data integrity
Apply machine learning and statistical analysis to develop models, train, optimize, and evaluate them, and communicate findings to stakeholders
Test, review, and improve models by analyzing performance, incorporating feedback, and contributing to the review process
Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems
Business Understanding and Impact
Data Preparation and Understanding
Modeling and Statistical Analysis
Evaluation
Industry and Research Knowledge/Opportunity Identification
Coding and Debugging
Business Management
Customer/Partner Orientation
Other
Requirements:
Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field, with proven 4 years of data science experience in business context
Be able to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges
Hands-on software engineering experience (e.g. Python, Scikit, PyTorch, C++) with main established data science frameworks
Nice to have:
Familiarity with building and deploying largescale AI solutions into production within a cloud environment
Experience dealing with internal and external stakeholders on large, complex projects