# Lead Associate - Data / AI at Davies

> Hybrid · India · Staff · Other · open. Source: https://alderhq.app/jobs/pinpoint%3Adavies%3A564294 (read 2026-11-08).

## Facts (observed)

- Company: [Davies](https://alderhq.app/companies/davies)
- Location text: Pune, Maharashtra
- Where it can be done from (inferred): Hybrid · India (evidence: "Location lists "pune"")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://davies.pinpointhq.com/en/postings/b0e324dd-193b-4388-8aea-d4bd4e0b0ca6
- Skills listed (inferred): Python, Azure, SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 17): p25 ₹34.3L, median ₹45.9L, p75 ₹76.8L

## Description (the employer's text)

Imagine being part of a team that's not just shaping the future but actively driving it. At Davies, we're at the forefront of innovation and excellence, blending cutting-edge technology with top-tier professional services. As a vital part of the global Davies Group, we help businesses navigate risk, optimize operations, and spearhead transformation in the insurance and regulated sectors.

### Responsibilities

We're on the lookout for a full-time Machine Learning Technical Lead. This role provides technical leadership for AI, machine learning, and advanced analytics initiatives while guiding engineers, data scientists, and business stakeholders from concept through production.

- Lead the design, development, deployment, and monitoring of machine learning and generative AI solutions across the organization.
- Define enterprise standards, architecture patterns, MLOps practices, and model governance frameworks.
- Partner with business leaders to identify high-value use cases and translate them into scalable AI solutions.
- Provide technical leadership and mentorship to data scientists, ML engineers, analytics teams, and developers.
- Oversee model lifecycle management including feature engineering, training, evaluation, deployment, drift monitoring, and retraining.
- Build and optimize machine learning pipelines using Azure, Microsoft Fabric, Databricks, Python, and related technologies.
- Ensure security, compliance, explainability, and responsible AI principles are embedded into all solutions.
- Collaborate with executive leadership to create AI roadmaps and measure business outcomes.
- Present technical concepts, recommendations, and results to both technical and non-technical audiences.
### Skills

- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field; Master's degree preferred.
- 7+ years of experience in data science, machine learning, analytics, or software engineering roles.
- 3+ years of leadership experience managing technical teams or leading complex AI initiatives.
- Deep expertise in machine learning algorithms, predictive modeling, NLP, LLMs, and generative AI technologies.
- Strong proficiency in Python, SQL, and cloud-based data platforms.
- Hands-on experience with Azure AI Services, Azure Machine Learning, Microsoft Fabric, and Power BI.
- Experience implementing MLOps, CI/CD, model monitoring, and production-grade ML solutions.
- Excellent technical writing, communication, and stakeholder management skills.
- Strong analytical, problem-solving, and strategic thinking capabilities.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Adavies%3A564294 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.