Data Science Leader

Key Skills

Algorithms, Azure, CUDA/GPU programming, Data science techniques, Google Cloud Platform (GCP), JavaScript, Jupyter Notebook, MLOps tools, PowerBI, Python Programming, R Programming, SAS, Scala Programming, Spark-SQL, Tableau

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

We are seeking a Data Science Leader. We are seeking passionate, entrepreneurial individuals to join us on an exciting Data & Analytics journey and building an expanding set of Managed Data Science Services across multiple industries with a strong focus on insurance industry.

You will help industry clients navigates the complex world of modern data science and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization - starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

Your key responsibilities

The role will be responsible for proactively identifying and prioritizing use cases across value chains in insurance industry leveraging AI and Machine Learning techniques, building, and validating, deploying, and monitoring advanced descriptive, predictive, and prescriptive advanced analytics solutions. The role will coach the data engineer and data science team to deliver service and develop solutions with business mindset.

What will you do?

• Collaborate with to understand clients’ needs and guide them towards building AI and Machine Learning solutions delivering both short-term wins and identifying long-term opportunities for managed data science services
• Build/deliver the roadmap to develop/implement AI/ML products with a team of data-scientists, data engineers and business focused product owners
• Build, validate, deploy, monitor, and provide MLOps support for a set of AI/Machine Learning models and services for both internal POCs and Client production initiatives
• Conduct analysis to address insurance issues; propose quality solutions and provide implementation support when required
• Leverage commercial and open-source AI, Machine Learning, Big Data ecosystem tools, BI, Visualization and Discovery tool to deliver advanced models and other Data Science solutions with the team. Specific tools will include (but not limited to), full SAS stack, R, Python, Scala, Java, Spark SQL/ML/MLLib/GraphX, Data Science Notebooks and Workbenches, Azure Machine Learning, Tableau, Datameer, and other tools
• Proactively monitor and tune AI / Machine Learning model performance, manage champion/challenger models to ensure optimal performance and resource utilization.
• Ensure all AI/Machine Learning models are properly packaged and documented for deployment. Participate in client training and knowledge transfer as required.
• Ensure all solutions comply with the highest levels of security, privacy and data governance requirements as outlined by EY and Client legal and information security guidelines, law enforcement, and privacy legislation, including data anonymization, encryption, and security in transit and at rest and others as applicable
• Effectively leverage continuous integration, continuous development and continuous deployment agile and DevOps tools and processes to deliver and support advanced Data Science and Big Data solutions and services, including Git, Jira, Jenkins and others as required
• Acts as a Subject Matter Expert and a Thought Leader, continuously following industry trends, the latest competitive developments, and delivering papers and presentations at major industry conferences and events.

To qualify for the role, you must have

• A Master degree in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering or equivalent
• 10+ years of extensive experience building end to end analytics solutions in the various subspaces of insurance industry with business acumen
• Experience in all or some areas of Telematics/NLP/Computer vision/Sentiment Analysis
• Proficiency and an in-depth understanding of the Predictive Modeling Lifecycle and best practices for feature engineering, model development and tuning (hyper-parameter, ensemble modeling techniques, deep learning), model validation, model deployment packaging, model management and performance monitoring
• Data Scientist certification, including Hadoop, Spark or equivalent production experience
• Experience with Open-source AI / Machine Learning / Data Science tools – R, Python, Spark. Including experience working with Notebooks (Zeppelin, Jupyter) and Data Science Workbenches (Azure, DSX)

Experience with Spark-based machine learning, including Spark SQL, ML, MlLib, GraphX

Ideally, you’ll also have

• Databrick Data Scientist certificate would be an asset
• Guidewire/Axis experience
• Experience with Deep Learning on CPUs and GPUs, including ANN, CNN, RNN frameworks like PyTorch, TensorFlow/Keras, MXNet or equivalent would be an asset.

What we look for

• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with insurance clients
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Business Intelligence projects

We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

What we offer

At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

Support and coaching from some of the most engaging colleagues in the industry

Learning opportunities to develop new skills and progress your career

The freedom and flexibility to handle your role in a way that’s right for you