HGS is Hiring - Data Scientists with generative ai and Stat

Hinduja Global Solutions (HGS) is a global company specializing in business process management (BPM) and digital customer experience (CX) solutions. HGS offers a range of services including contact center solutions, back-office processing, and integrated digital platforms. They are part of the Hinduja Group, a large multinational conglomerate. With over 20,000 employees across 34 delivery centers in 8 countries, HGS offers a spectrum of technology, digital marketing, and outsourcing solutions tailored to specific industry verticals.

What we are looking for:

Core Skills & Knowledge

• Programming:

  Expert Python; deep use of Pandas, NumPy, Scikit-learn, PyTorch/Lightning; strong OO and functional patterns.

• Large Language Models:

  Fine-tuning (LoRA, QLoRA, PEFT), prompt engineering, evaluation (BLEU, BERTScore, hallucination metrics).

• Machine Learning:

  Classical algorithms (tree-based, linear, ensemble, time-series), hyper-parameter search (Optuna, Ray Tune), model explainability (SHAP, Captum).

• Statistical Methods:

  Experimental design, p-value and power analysis, Bayesian A/B testing, causal inference.

• Vector Search & RAG:

  Embedding generation, similarity search tuning (HNSW, IVF-PQ), chunking strategies, knowledge-base hygiene.

• DevOps & Tooling:

  Git, Docker, Conda/Poetry, make/Task, notebook versioning, automated linting & unit tests (pytest).

• Cloud & Data Platforms:

  Familiarity with AWS (SageMaker, Bedrock) or Azure (ML, OpenAI) plus modern data warehouses (Snowflake, Redshift, BigQuery) and lake formats (Parquet, Delta).

• Why this role matters

• We deliver data-driven and GenAI-powered products that move business KPIs, not just models. Youll transform raw data and cutting-edge research (LLMs, causal inference, RAG pipelines) into production-grade capabilities that customers use every day.

• Key Responsibilities

Responsibility

Model development & experimentation

Causal & statistical analysis

Operationalization & MLOps

Data wrangling & feature engineering

Collaboration & knowledge sharing

Nice-to-Have / Stretch Skills

• Graph data science (Neo4j, Graph-SAGE)
• Streaming ML on Apache Kafka / Flink
• LangChain / LlamaIndex orchestration
• Real-time feature stores (Feast, Tecton)
• Domain knowledge in finance, healthcare, or supply chain

Experience & Education

• 6-10 years

  of overall IT experience with

  over 5 years

  of relevant experience building and shipping ML models or GenAI services in production.
• Proven track record of improving a business metric (conversion, churn, NPS, cost) through data science.
• Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, or related field (or equivalent hands-on experience).

Working at HGS:

At TekLink our employees get an open and collaborative environment and gain experience working for customers in various industries while solving complex business problems. They get support to learn new technologies as well as to enhance existing skills to further their career growth.

We offer:

• Very competitive remuneration
• Excellent Benefits including – Hot Skills allowance, Shift allowance, Health, accidental and Life coverage.
• Excellent performance based annual increments.
• Fast paced growth opportunities
• International work experience
• Opportunity to participate in various sports and CSR activities.