
Chief Analytics Expert
1 day ago
We are seeking a highly skilled Senior Data Scientist to join our team. As a key member of our analytics department, you will play a critical role in driving business decisions with data-driven insights.
Job ResponsibilitiesOur ideal candidate will have experience in analyzing complex data sets, designing and developing predictive models, and collaborating with cross-functional teams to ensure data accuracy and relevance.
- Analyze large datasets to identify trends, patterns, and insights that inform business strategy.
- Develop and deploy machine learning models to improve the accuracy and efficiency of analytics solutions.
- Collaborate with stakeholders to ensure data quality, relevance, and timeliness for analytics purposes.
- Contribute to hands-on development of data & analytics solutions, delivering high-quality results in a timely manner.
- Accelerate solution delivery using re-usable frameworks, prototypes, and hackathons to drive innovation and efficiency.
- Foster a culture of experimentation and continuous improvement, staying up-to-date on industry trends and new technologies in data science and analytics.
To succeed in this role, you will need:
- 0-5 years of relevant experience in AI/analytics product & solution delivery.
- Bachelor's/Master's degree in an information technology/computer science/Statistics/Economics or equivalent fields experience.
- Strong understanding of Machine Learning and Deep Learning concepts, with a focus on Natural Language Processing.
- Proficiency in Python programming language, with experience using libraries like PyTorch for deep learning tasks.
- Familiarity with Elastic stack (Elasticsearch, Logstash, Kibana) for data management and analysis.
- Experience in optimizing algorithms and time series forecasts.
- Knowledge of prompt engineering techniques to improve model performance.
- Ability to prototype applications using Streamlit or similar tools.
- Experience working with large and complex internal, external, structured, and unstructured datasets.
- Model development and deployment in cloud; Familiarity with Github, CI/CD process, Docker, Containerization & Kubernetes.
- Strong conceptual and creative problem-solving skills.
- Good written, verbal communication skills and presentation skills.
While not required, experience with the following would be beneficial:
- Familiarity with new age AI and ML techniques such as GenAI, foundational models, large language models (LLMs), and applications.
- Certifications in AI space such as ML Ops, AI Ops, Generative AI, Ethical AI, AI deployment in cloud.
- Familiarity with agile methodologies & tools.
- Prior experience in P&C Insurance Analytics.
- Prior experience in Analytics consulting and services.
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