Senior Data Scientist

1 week ago

Hyderabad, Telangana, India AKSHIKA Group Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

AKSHIKA Group is a prominent business advisory firm dedicated to delivering exceptional client experiences globally through its research, risk management, and investment decision-making platforms, along with advisory and consulting services. Its AI-powered "Climate Risk Analytics" (CRA) platform leverages advanced machine learning algorithms for pattern and predictive analytics, offering top-tier data management capabilities. Designed to support stress testing and environmental risk integration, the platform provides an ESG framework aligned with international standards, modular features, and seamless integration into existing infrastructure. The group is recognized for its innovative solutions tailored to evolving business needs.

Role Description

This is a full-time, on-site role located in Hyderabad for a Data Scientist (Sr. Manager / Director). The selected individual will lead data science initiatives, develop predictive models, and extract meaningful insights from complex data sets. Key responsibilities include statistical analysis, data visualization, building machine learning models, and guiding internal teams on analytical solutions. You will play a critical role in delivering impactful data-driven insights to support strategic decision-making and organizational goals.

Qualifications

  • Strong expertise in Data Science, Machine Learning, and predictive modeling techniques.
  • Experience in Statistics and Data Analytics for performing advanced statistical analysis and deriving actionable insights.
  • Proficiency in Data Visualization and Data Analysis for designing intuitive dashboards and analyzing multi-faceted datasets.
  • Solid understanding of programming languages like Python, R, or SQL relevant to data analysis workflows.
  • Excellent leadership, project management, and communication skills for guiding teams and presenting findings to stakeholders.
  • Master's or Doctorate in Data Science, Statistics, Computer Science, or a related field is preferred.
  • Experience with AI-powered platforms or climate risk analytics frameworks is advantageous.
  • Proven ability to work strategically and collaboratively in a professional environment.

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