Senior Data Scientist

9 hours ago

Bengaluru, Karnataka, India Tiger Analytics Full time
Job Title : Data Scientist /Senior Data Scientist-BFS Location : Chennai, Bangalore, Hyderabad

Skills : Data Science, Model Building, Python, Regression, Classification

NP :Immediate to 15 Days

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

Financial Times, Economic Times and Analytics India Magazine

As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.

While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.

Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.

4 -10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.

~ Minimum 2+ years of experience in the Banking and Financial services industry

~ Exhibit a fervour for crafting modular, scalable, and bug-free Python code.

~ Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint.

~ Experience in production engineering best practices (e.g. Git versioning, Docker).

~ Familiarity or experience with working on large data sets and distributed computing (e.g. Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).

~ In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.

~ Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.

~ Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.

Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities

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