Senior Data Scientist

In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner, Dautom is supporting their strategic initiatives by connecting them with exceptional talent to drive business growth and transformation.

About the role :

Role Name : Senior Data Scientist

Job Location : Pune, India (Offshore)

As a Senior Data Scientist in our London office, your role will encompass:

● Designing and implementing advanced agentic, data science and machine learning solutions to solve complex business problems.

● Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees.

● Supervising and mentoring team members on code, deployment, and best practices.

● Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles.

Qualifications :

Necessary education and experience Education:

• A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
• Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders.
• Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference.
• ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines.
• Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces.
• Cloud & DevOps: Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB), and infrastructure-as-code (Terraform). Solid understanding of CI/CD for testing and containerisation.

Desirable experience Advanced Education:

• A Master's degree or PhD in a relevant field is a strong plus.
• Agentic Implementation: Experience building and shipping agentic solutions in a professional context.
• Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray.
• Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

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