Advanced Analytics Expert

16 hours ago

Palakkad, Kerala, India beBeeData Full time ₹ 18,00,000 - ₹ 24,00,000
Senior Data Scientist Job Description

We are seeking a skilled Senior Data Scientist to join our team. This role is responsible for driving business decisions through data analysis, designing predictive models, and collaborating with cross-functional teams.

About the Role:
  • Analyze complex datasets to identify trends, patterns, and insights that drive business decisions.
  • Design and develop predictive models, algorithms, machine learning, and artificial intelligence techniques to improve analytics solutions.
  • Collaborate with cross-functional teams to ensure accurate, relevant, and up-to-date data for analytics purposes.
  • Contribute to hands-on development of data & analytics solutions.
  • Delve products and solutions in a timely, proactive, and entrepreneurial manner.
  • Accelerate solution delivery using re-usable frameworks, prototypes, and hackathons.
  • Follow MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
  • Developing and maintaining detailed technical documentation.
  • Stay up-to-date on industry trends and new technologies in data science and analytics, and apply this knowledge to improve the firm's analytics capabilities.
Requirements:
  • 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; engage in meaningful manner with variety of audience: business stakeholders, technology partners & practitioners, executive and senior management.
  • Industry knowledge about emerging AI trends, AI tools and technologies.
Preferred Qualifications:
  • Familiarity of 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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