Participate in the full lifecycle of AI projects, from ideation and model development to implementation, validation, and deployment.
Create informative and visually appealing data visualizations and reports.
Identify opportunities for innovation and improvement in analytics and data-driven decision-making.
Communicate complex computer vision concepts, and project outcomes to a diverse audience, including technical and non-technical stakeholders.
Provide mentorship and guidance to junior AI scientists and data scientists
Basic Qualifications:
P & C Insurance domain Knowledge is mandatory
Experience in one or more Client toolkits or Python frameworks
Experience and demonstrable knowledge of Deep Learning concepts
Understanding of probability and statistics and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability
Experience in applying standard implementations of machine learning algorithms effectively by choosing a suitable model such as decision tree, knn, neural net, or an ensemble of multiple models
Understanding of how components and processes work together and communicate with each other using library calls, REST APIs queueing/messaging systems and database queries
Understanding of system design to avoid bottlenecks and let your algorithms scale well with increasing volumes of data
Self-driven and self-guided in a dynamic environment
Experience with PyTorch, NLTK, SciPy, Scikit-Learn, Numpy, OpenCV or equivalent for image preprocessing
Experience with SQL/NoSql databases and queries
Familiarity with coding best practices, OOD/OOP, modular design, SOA, and systems architecture
Technical skills:
Python, pyspark or R programming language for coding
Kubernetes and docker for deployment
AWS sagemaker or EC2 instances for cloud
MYSQL, Oracle, mongodb or Redshift DB for database
Python and pyspark for programming
Cloudera Distributed Platform for computing & deployment
deep learning/neural networks packages like pytorch, tensorflow in python and use GPU
for training distributed computing pyspark and parallel compute in libraries in python
Degree: Bachelors in Computer Science or equivalent work experience

About NTT DATA

NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Visit us at us.nttdata.com.

NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.