Senior Associate - AI / Data

Davies; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Davies is seeking a Senior Associate - AI / Data in Pune to collate, model, and interpret complex data, delivering business-focused insights across the claims lifecycle and broader operations. You will work across the full data science pipeline from data assembly to deployment, partnering with stakeholders to turn data into measurable value.

You will apply Python/R, SQL, and the Microsoft data platform to build scalable analytics solutions, create dashboards, and drive data-driven decisions

Qualifications

• Proficiency in Python and/or R for data analysis and ML.
• Experience with Azure data platform and Power BI for data ingestion, transformation and visualization.
• Experience designing and evaluating machine learning models and deploying them in production.
• Strong SQL and data warehousing knowledge.
• Excellent communication and stakeholder collaboration across teams.

Responsibilities

• Assemble, cleanse, and model large datasets using medallion architecture on Davies data platform.
• Design, build, validate ML models for claims triage, fraud detection, outcome prediction, and efficiency.
• Collect and structure data via analysis, study design, and automated pipelines.
• Create dashboards and reports providing actionable business insights on performance metrics.
• Prepare clear reports and presentations for business, product, and executive audiences.
• Develop experimental frameworks for data collection and model evaluation (A/B testing, monitoring).
• Collaborate with data engineers, AI engineers, and platform teams to ensure production readiness.
• Engage with stakeholders to translate data needs into rigorous, useful solutions.
• Contribute to governance and tooling improvements across the AI Office and Group.

Skills

Python

R

SQL

ML modelling

NLP

Data analysis

Communication

Teamwork

Tools

Azure Data Factory

Microsoft Fabric

Power BI

Job description

Senior Associate - AI / Data

Department: IT

Employment Type: Permanent - Full Time

Location: Pune

Description

As a Senior Associate - AI / Data at Davies, you will collate, model, and interpret complex data to deliver business-focused insights and applied science solutions across the claims lifecycle and broader professional services operations. You will work across the full data science pipeline — from data assembly and feature engineering through to model development, validation, and deployment — partnering with stakeholders across the Group to turn data into measurable business value.

Key Responsibilities

• Assemble, cleanse, and model large, complex datasets from across the Group to meet functional and non-functional business requirements, using the medallion architecture on the Davies Microsoft data platform (Azure Data Factory, Microsoft Fabric, and Power BI).
• Design, build, and validate statistical and machine learning models for business-focused use cases including claims triage, fraud detection, outcome prediction, and operational efficiency optimisation.
• Collect and structure data through a combination of business analysis, study design, and automated collection pipelines — identifying the most valuable signals within large, complex datasets.
• Build and maintain analytical tools and reporting solutions that provide stakeholders with actionable insight into key business performance metrics, including operational efficiency, claims outcomes, and customer experience.
• Create clear, compelling reports, dashboards, and presentations that translate complex data findings into simple, actionable recommendations for business, product, and executive audiences.
• Develop and implement experimental frameworks for data collection and model evaluation, including A/B testing, model validation, and performance monitoring in production environments.
• Partner with data engineers, AI engineers, and platform teams to ensure data science outputs are production-ready, well-documented, and integrated effectively into Davies systems and workflows.
• Work with stakeholders across data, product, design, and executive teams to understand their data science needs, define problem statements clearly, and deliver solutions that are technically rigorous and practically useful.
• Contribute to the continuous improvement of data science practice at Davies, including tooling, methodology, model governance, and knowledge sharing across the AI Office and wider Group.

Skills, Knowledge & Expertise

• Proficiency in Python and/or R for data analysis, statistical modelling, and machine learning, with strong command of relevant libraries (pandas, scikit-learn, PyTorch, or equivalent).
• Hands-on experience with the Microsoft data platform, including Azure Data Factory, Microsoft Fabric, and Power BI, for data ingestion, transformation, and visualisation.
• Experience designing and evaluating machine learning models — including classification, regression, clustering, and NLP techniques — and deploying them in production or near-production environments.
• Strong SQL skills and experience working with relational databases, data warehouses, and medallion architecture data lake patterns.
• Ability to visualise and communicate complex data in the most effective way possible — matching chart type, narrative, and level of detail to the audience and business question.
• Excellent written and verbal communication skills, demonstrated through the preparation of reports, presentations, and technical documentation for diverse audiences including senior leadership.
• Analytical and problem-solving mindset with exceptional attention to detail — comfortable searching through large, messy datasets to surface usable and statistically meaningful insight.
• Ability to work independently and collaboratively across teams with different technical backgrounds, translating between data science concepts and business requirements with clarity.
• Experience building data transformation processes that handle workload management, data structures, dependencies, and metadata in a governed, repeatable way.
• Familiarity with model monitoring, experiment tracking, and MLOps principles — ensuring that models remain performant and auditable over time.
• Continuous improvement mindset, naturally inquisitive and intellectually driven, with a passion for finding signal in data and translating it into business impact.
• Experience applying data science in insurance, financial services, claims management, or other regulated industries is a strong advantage, particularly where data governance and model explainability are key requirements.
• Familiarity with AI and generative AI tooling — including LLMs, embedding models, and vector search — and an interest in how classical data science and modern AI methods can be combined to deliver greater business value is an advantage.