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Home India Data Scientist

Data Scientist

Full time at LTIMindtree in India
Posted on February 5, 2025

Job details

Data Scientist Experience - 5 Years- 8 Years Location - Bangalore Job Description: Domain - Insurance Mandatory Skills: Data Science, Statistics, Visualization, MI model Application and Algorithms.

  1. Discover hidden patterns AI algorithms identify correlations and trends in datasets Automate insight generation autonomously generate actionable insights and recommendations reducing the need for manual analysis.
  2. AI ML Integration Implement AI and ML techniques to enhance product capabilities and decision making processes Visualization Reporting Create intuitive data visualizations and reports to communicate findings to stakeholders and users.
  3. Collaboration Work closely with product managers engineers and other stakeholders to integrate data driven features into the product Innovation Stay updated with the latest advancements in AIML and decision intelligence to continuously improve the product.
Skills Required
  1. Strong understanding of machine learning techniques and statistical methods
  2. Proficiency in programming languages such as Python R SQL
  3. Experience with AI frameworks and libraries eg TensorFlow PyTorch
  4. Experience with data visualization tools like Tableau Power BI or similar
  5. Excellent problem solving and analytical skills
  6. Ability to communicate complex data insights to both technical and nontechnical audiences38 years of experience in data science roles Work Environment Culture Innovative and collaborative with a focus on continuous learning and improvement.
  7. This role is ideal for someone passionate about using AI and ML to drive product innovation and help users make informed decisions.
"LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law."

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