Job Role: Sr. Data Scientist
Experience: 8+ years
Job location: Dublin, Ireland
Work mode: Hybrid 3 days per week work from office
Role Summary
This role focuses on developing, deploying, and monitoring advanced Data Science solutions using Machine Learning (ML), Deep Learning (DL), GenAI, Agentic frameworks, and other AI techniques.
The role will focus primarily on applied data science delivery (~80%), supported by hands‑on data engineering enablement (~20%) to ensure secure, scalable, and reliable data foundations for modeling and analytics.
Required Skills & Experience
Proven experience delivering Machine Learning and Deep Learning solutions end‑to‑end, from data exploration through deployment and monitoring.
Strong applied knowledge of ML, DL, GenAI, and Agentic approaches, including understanding of underlying mathematical foundations.
Strong experience with EDA, feature engineering, offline modeling, evaluation, and transforming messy data into clean, reusable features.
Proven ability to communicate scientifically and present results to diverse technical and non‑technical stakeholders.
Demonstrated ability to handle data responsibly, including data governance, privacy, and standards compliance.
Experience building GenAI‑based solutions using LLMs/SLMs, RAG, Vector databases, and agentic frameworks.
Strong hands‑on programming experience (e.g., Python) and strong SQL skills, with the ability to work across big‑data and cloud ecosystems.
Curious, critical thinker with strong problem‑solving skills and a hands‑on execution mindset, comfortable working in ambiguous problem spaces.
Optional / Nice to Have
Experience in fraud, risk, or security analytics domains.
Experience with model governance, explainability, and audit requirements in regulated environments.
Familiarity with Snowflake and cloud‑based data platforms supporting large‑scale analytics.
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions.
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