Data Scientist

Lloyds Technology Centre; Hyderabad; Hybrid; INR 400.000 - 900.000; Vollzeit

Zusammenfassung

Lloyds Technology Centre is seeking a Senior Data Scientist to advance NLP, GenAI, and conversational AI capabilities. You will design, prototype, and productionize end-to-end ML solutions, collaborating with engineering and business teams.

Strong emphasis on feature engineering, model evaluation, and scalable, production-ready AI systems. You will mentor peers and contribute to DevOps/MLOps practices, with a focus on translating complex data outputs into actionable business insights for senior

Qualifikationen

• Hands-on modelling and experimentation across end-to-end ML pipelines.
• Advanced Python and ML frameworks proficiency.
• End-to-end ML and GenAI design including feature engineering and model selection.

Aufgaben

• Build and deploy ML/GenAI solutions with agentic workflows.
• Collaborate with engineering and business teams to translate data insights.
• Lead technical reviews and coach junior data scientists.

Kenntnisse

Hands-on modelling

Experimentation

Advanced Python

ML frameworks

GenAI design

NLP & GenAI

Conversational AI

Communication to non-technical

DevOps / MLOps awareness

Collaborative leadership

Ausbildung

Data science/ML degree or related

Tools

NumPy

Pandas

scikit-learn

PyTorch/TensorFlow

LangChain

LangGraph

MLflow

Docker

APIs

Jobbeschreibung

• Senior Data Science Expertise
  Strong experience applying machine learning, statistical modelling, and experimentation to solve real business problems.
• Advanced NLP & GenAI Capability
  Deep theoretical and applied knowledge of NLP, blending traditional NLU approaches with modern LLMs and Generative AI techniques.
• Conversational & Agentic AI Systems
  Experience building conversational AI solutions, including agentic workflows, orchestration, and memoryaware systems.
• Business Translation & Influence
  Proven ability to translate complex data science outputs into clear insights for nontechnical audiences, influencing senior decisionmakers.
• Strong Engineering & Coding Skills
  Advanced Python and query language, API proficiency, writing modular, maintainable code; fluent with pandas and common DS libraries.
• Coaching & Technical Leadership
  Ability to coach other data scientists, review code, and guide teams toward effective, businessaligned solutions.
• Modern Software & Delivery Practices
  Experience working with DevOps, CI/CD, and modern development toolchains to productionise ML and AI solutions.
• Collaboration & Stakeholder Management
  Excellent communication and collaboration across engineering, business teams, and thirdparty SaaS providers.

What We Need (MustHave)

• Handson Modelling & Experimentation
  Practical experience designing experiments and applying complex statistical methods endtoend.
• Advanced Python & ML Frameworks
  Strong proficiency in Python and libraries such as NumPy, Pandas, scikitlearn, PyTorch / TensorFlow.
• EndtoEnd ML & GenAI Design
  Strong understanding of feature engineering, model selection, evaluation, optimisation, and GenAI approaches.

Experience with modern model evaluation and testing approaches for ML and Generative AI, including ML, LLM evaluation, robustness testing, bias and safety checks, and continuous quality monitoring.

• Agentic AI & Orchestration
  Experience with RAG, prompt and reasoning design, memory management, and tools such as LangChain / LangGraph.
• CloudBased AI Deployment
  Good Familiarity with for deploying microservices, ML and AI workloads. Experience with MLOps tools (e.g. MLflow, Docker, CI/CD pipelines)
• BusinessReady Delivery
  Ability to take complex business requirements and turn them into scalable, productionready AI solutions.
• Strong Communication & Influence
  Confidence explaining technical outcomes in business terms and influencing nontechnical stakeholders.