Senior Data Scientist

3 weeks ago

Pune, India Allianz Services Full time

Designation - Senior Data Scientist Experience Range - 5 to 10 YearsLocation - Pune / Trivandrum5–10 years of relevant experience in Data Science/ML Engineering/GenAI Engineering✔️ Strong expertise in Python, Azure/AWS stack✔️ Hands-on experience with ML, GenAI & AgenticKEY REQUIREMENTS -A degree in a highly quantitative field such as Computer Science, Mathematics, Statistics or equivalent, postgraduate studies preferredDemonstrated experience in a Data Scientist role, applying Data Science Methods to solve real-world business problems within a commerical setting.Experience using data mining, statistical methods and machine-learning techniques.Ability to navigate complexity and ambiguity to provide pragmatic commerical solutions which meet stakeholder expectations.Excellent verbal and written communication skilss, capable of communicating with audiences at all levels with clarity, impact and influence.Good understanding of ML ops and strong Python programming skills.Ability to plan and prioritise effectively, organise tasks and manage competing resuources and demands.Proven analytical and critical thinking capability to interpret a range of data, identify patterns, trends and links that inform judgements and solutions and report accordingly.Demonstrated ability to build effective relationships internally and externally with stakeholders, intermediaries and service providers.Highly developed 'first principles' problem-solving skills, combined with a curious and creative mind-set.Highly developed consulting and influencing skills, demonstrating the ability to co-create strategy and valuable analytical solutions with key business stakeholders.Demonstrated ability in innovative development practices, able to generate data science prototypes repaidly using relevant techniques.Significant experience in data science and analytics, general insurance, and predictive modelling such as quote conversion, customer retention, with ML techniques, acquired in a complex, matrixed General Insurer.

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