Senior consultant-Business Analytics

Allianz Services; Pune District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Allianz Services is seeking a Data Scientist to translate business problems into data-driven solutions. You will apply machine learning, statistical methods, and data mining to real-world insurance challenges in a dynamic setting.

Strong Python skills and ML Ops knowledge are essential to build prototypes rapidly and deliver actionable insights. The role emphasizes collaboration with internal stakeholders, clear communication, and prioritization in a complex environment.

Qualifications

• Degree in a highly quantitative field or equivalent postgraduate studies.
• Experience applying data science methods to solve business problems.
• Experience with data mining, statistics and ML techniques.
• Ability to provide pragmatic commercial solutions amid ambiguity.
• Excellent verbal and written communication across audiences.
• Strong Python programming and ML Ops understanding.
• Ability to plan and prioritize tasks effectively.
• Analytical thinking to identify patterns and inform decisions.
• Strong stakeholder relationship skills.
• Proactive problem-solving and creative mindset.
• Experience in data science for general insurance and predictive modelling.

Responsibilities

• Apply data science methods to solve real-world business problems.
• Develop and prototype data-driven solutions using ML techniques.
• Collaborate with stakeholders to co-create analytical solutions.

Skills

Data Science

Python programming

Machine learning

Statistical methods

Communication skills

Stakeholder management

Problem solving

Planning & prioritization

Generative AI

Agentic AI Development

Data analytics

Education

Degree in a highly quantitative field (CS, Math, Stats)

Postgraduate studies preferred

Tools

TensorFlow / PyTorch

ML Ops

Job description

Key Requirements

• A degree in a highly quantitative field such as Computer Science, Mathematics, Statistics or equivalent, postgraduate studies preferred
• Demonstrated 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.

Additional Requirements

• 5+ years of work experience with Data Science
• 1+ years of work experience with Agentic AI Development
• 2+ years of work experience with Generative AI

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101892 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.

Note

Having different strengths, experiences, perspectives and approaches is an integral part of Allianz‘ company culture. One means to achieve this is a regular rotation of Allianz employees across functions, Allianz entities and geographies. Therefore, Allianz expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.