Technology Consulting- Data Scientist – Pakistan

10 نوفمبر، 2022

0 0 3 دقائق

الوصف الوظيفي

Joining EY’s Data and Analytics team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our client’s businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains.
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 Data Scientist; passionate, entrepreneurial individuals to join us on an exciting journey of evolving our next generation Data Science and Big Data platform.
You will help our clients navigate 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 AI and Machine Learning opportunities within Client portfolios, building, and validating, deploying, and monitoring advanced descriptive, predictive, and prescriptive machine learning models, including Risk Management, Customer Experience and Journey analytics, Digital Analytics, Customer Segmentation, Customer Acquisition, Churn Management, Next Best Action and many others.
Skills and attributes for success
* Effectively partner with Clients to understand and anticipate their 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, validate, deploy, monitor, and provide DevOps support for a set of AI/Machine Learning models and services for both internal POCs and Client production initiatives, including Risk Management, Customer Experience and Journey analytics, Digital Analytics, Customer Segmentation, Customer Acquisition, Churn Management, Next Best Action and many others.
* 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. 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, Data Meer, 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

المهارات

* Experience with Deep Learning on CPUs and GPUs, including ANN, CNN, RNN frameworks like TensorFlow/Keras, MXNet or equivalent would be an asset.
* Experience with Azure Machine Learning would be an asset.
* Experience with SAS Risk and Finance modeling modules and workbenches would be an asset.
* Experience with SAS Decision Manager would be an asset.
* Experience with SAS Text Mining and Sentiment Analysis (SA) would be an asset.