Job Summary:

Worked 3 years+ in Data Science and Machine learning on any cloud platform (AWS, Oracle, Google, Azure) in any industry.

As a Senior Data Science and Machine Learning Expert, you will play a crucial role in driving the strategic use of data and advanced analytics to solve complex business problems. Leveraging your extensive experience in data science and machine learning, you will lead a team of data scientists and collaborate with cross-functional teams to develop innovative solutions that contribute to business success.

Responsibilities:

- Leadership and Strategy:
- Provide strategic direction for the organization's data science and machine learning initiatives.
- Collaborate with senior management to align data science goals with overall business objectives.
- Mentor and lead a team of data scientists, fostering a culture of innovation and continuous improvement.
- Data Analysis and Modelling:
- Conduct in-depth analysis of large and complex datasets to extract valuable insights.
- Develop and deploy advanced machine learning models for predictive and prescriptive analytics.
- Utilize statistical methods to validate models and ensure their reliability and accuracy.
- Algorithm Development:
- Design and implement cutting-edge machine learning algorithms to address business challenges.
- Stay current with industry trends and emerging technologies, incorporating them into the development process.
- Collaboration:
- Collaborate with cross-functional teams, including software engineers, business analysts, and domain experts, to integrate machine learning models into operational systems.




- Communicate complex technical concepts to non-technical stakeholders, fostering understanding and support for data-driven decision-making.
- Data Governance and Quality:
- Ensure the integrity and quality of data used in machine learning models.
- Implement and enforce data governance best practices to maintain a high standard of data quality and security.
- Continuous Improvement:
- Stay abreast of advancements in data science and machine learning, incorporating new techniques and technologies into existing processes.
- Drive the adoption of best practices and methodologies within the data science team.

Qualifications:

- Advanced degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).
- Proven experience in data science, machine learning, and statistical modeling.
- Strong programming skills in languages such as Python, R, or Java.
- Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
- Solid understanding of data engineering principles and data preprocessing techniques.
- Excellent problem-solving and critical-thinking skills.
- Solid leadership and communication skills.
- Work across cloud platforms, machine learning tools and generative AI tools.
- Ability to learn the Financial services business and interact with Business heads.

Note: The above is a general outline of the duties and responsibilities associated with the designated role. It is not exhaustive and additional duties may be assigned.

Working Location- Kochin, Trivandrum, Bangalore office

📌 Data Science & Machine Learning (Bengaluru)
🏢 Muthoot Fincorp
📍 Bengaluru