Data Scientist - Generative AI & Machine Learning

About the role

Solenis GSS India is looking for an experienced Data Scientist to join its global AI and Data Science team in Hyderabad. The role suits professionals who want to use Generative AI, machine learning and modern data platforms to solve real enterprise problems, working across commercial, supply chain and customer experience functions. It reports to the Director of Data Strategy or the AI Program Lead.

Key responsibilities

• Analyze large datasets, run exploratory data analysis and use statistics to find trends, patterns and anomalies.
• Build, train and validate predictive models, improving them through feature engineering and hyperparameter tuning.
• Support data engineers so pipelines are robust and scalable, and prepare structured and unstructured data.
• Create dashboards and present clear recommendations to technical and non-technical audiences.
• Work with product managers, engineers and business teams, and take part in strategic planning.
• Design and analyze experiments and A/B tests, and ensure data privacy, ethics and responsible AI.

Required profile

• 5-8 years of experience as a Data Scientist in a large enterprise.
• Proven experience solving enterprise problems with AI models such as predictive analytics, intelligent agents and document intelligence.
• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related field; Master's or Ph.D. preferred.
• Preferred: chemical, manufacturing or industrial sector experience, and exposure to AI in commercial, supply chain or customer service.

Required skills

• Python and SQL.
• Snowflake, Databricks and SAP data integration.
• Generative AI frameworks (e.g. LangChain, HuggingFace, OpenAI APIs) and LLM deployment.
• MLOps tools such as MLflow, dbt and Git.
• Desirable: Salesforce AgentForce, Google AgentSpace and Snowflake Cortex AI.

What we offer

• Free internal and external training courses and self-paced language training.
• Hybrid work (3 days office, 2 days WFH) and no-meeting Fridays.
• Health and wellness benefits, relocation assistance and onsite creche.
• Annual charity day, birthday/wedding gifts, internet allowance and free parking.