Chief Analytics Expert

1 day ago


Kannur, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Scientist

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 Responsibilities

Our 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.
Required Skills and Qualifications

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.
Preferred Qualifications

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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