Data Scientist

Smiths Detection Group; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Career growth opportunities

Job summary

Smiths Detection Group, Bengaluru, is seeking a software/ML engineer to design and implement data pipelines, develop ML-ready components, and maintain CI pipelines. You will work with Python, C/C++, and Bash across Linux environments, contributing to strict coding standards and reproducible experiments.

You will collaborate with data scientists, product owners, and engineers to deliver reliable, scalable ML solutions and robust data processing workflows in a global security domain.

Qualifications

• Write robust code in Python, C, and/or C++.
• Develop and maintain unit, component and integration tests.
• Familiar with Linux scripting, debugging, and OS configuration.
• Experience with Docker and Kubernetes.

Responsibilities

• Develop, maintain, and document software components per coding standards.
• Create and validate synthetic data for operator and algorithm training.
• Maintain and extend Jenkins CI pipelines and build scripts.
• Review datasets for quality, and document issues.
• Participate in code reviews and version control processes.
• Collaborate with software engineers, data scientists, and product owners.

Skills

Python

C/C++

Bash

Linux

Docker

Kubernetes

PyTorch

Data pipelines

Machine learning

Debugging

Education

Bachelor's degree

Tools

Jenkins

Job description

Job Description:

Company Description

Every minute of every day, Smiths Detection’s threat detection and security screening technology helps to protect people and infrastructure, making the world a safer place.

Smiths Detection, part of Smiths Group is a global leader in the development, manufacture and management of security and detection solutions designed to make the world a safer place. Our technology provides threat detection and screening solutions for customers in our key markets: aviation, ports and borders, defence, and urban security.

Our expertise spans 21 global offices, seven manufacturing sites and five R&D centres, with a global network of 3,000 dedicated colleagues contributing towards over 40 years at the frontline of advances in safety and security.

This results in careers built on variety and the opportunity to work on a range of state-of-the‑art solutions, where you can develop your knowledge and experience every day.

Job Description

Duties:

• Develop, maintain, and document software components using Python, C/C++, and Bash in accordance with established coding standards.
• Create and maintain unit tests, component tests, and integration tests, and perform developer testing.
• Review datasets, annotations, and labels for quality, completeness, and consistency, and document identified issues.
• Create and validate synthetic data for operator training and algorithm training, ensuring suitability, quality, and correct labeling for the intended use.
• Maintain and improve Jenkins CI pipelines, including investigating and resolving build and test failures.
• Maintain build scripts, software dependencies, configurations, development tools, and the team’s software stack.
• Investigate software defects, implement corrective actions, and verify that issues have been resolved.
• Participate in code reviews and follow established version control, integration, documentation, and release processes.
• Contribute to the continuous improvement of Machine Learning development standards, workflows, and deployment practices.
• Collaborate closely with software engineers, data scientists, product manager, product owner and other stakeholders to deliver impactful solutions.

Qualifications

• Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, or a related discipline.
• Ability to write robust code, using programming languages such as Python, C, and/or C++.
• Familiar with Linux scripting, debugging and OS configuration.
• Experience using modern container techniques like docker and Kubernetes.
• Experience with Machine Learning frameworks and libraries such as PyTorch.
• Knowledge of data structures, data modelling, and software architecture principles.
• Solid foundation in mathematics, probability, statistics, and algorithm design.
• Familiarity with open‑source tools, technologies, and development environments.
• Ability to design, develop, and maintain data pipelines and Machine Learning solutions.

Skills and Experience:

• A self‑starter with the ability to manage your time effectively, keen attention to detail and use your own initiative.
• Effective communication skills at all levels of the organization and collaborative abilities.
• The ability and motivation to persistently pursue and achieve effective results which drive the business forward.
• Collaboration and influencing with a Global mindset, cultural awareness.
• Proven matrix and stakeholder management skills/experience working virtually in diverse teams.
• The ability to make effective, timely decisions in a complex, global market by sourcing and analysing critical information.
• The understanding and recognition of the organisation’s commercial environment and positioning themselves, their role and their actions in order to support the organisation’s commercial success.
• The ability to engage, challenge and work effectively with others.
• The ability to build an effective network of relationships both internally and externally, understanding their customers’ needs.
• Willing and able to identify and support change and continuous improvement in own and wider business environment.
• Effective communication skills at all levels of the organization and collaborative abilities.

Professional competencies:

• Strong analytical thinking and problem‑solving capabilities.
• Ability to work effectively both independently and as part of a multidisciplinary team.
• Excellent written and verbal communication skills, with fluency in English.
• Strong organisational skills with the ability to manage multiple priorities and deliver results in a timely manner.
• Self‑motivated and proactive, demonstrating initiative, attention to detail, and a continuous improvement mindset.
• Ability to communicate and collaborate effectively with stakeholders at all levels of the organization.
• Demonstrated ability to influence, collaborate, and build relationships across diverse, global, and multicultural teams.
• Sound decision‑making skills, with the ability to analyse complex information and make timely, data‑driven recommendations.
• Commercial awareness and understanding of how individual contributions support broader business objectives.
• Ability to engage constructively, challenge assumptions, and work effectively with internal and external stakeholders.
• Strong networking and relationship‑building skills, with a customer‑focused approach.
• Commitment to driving change, innovation, and continuous improvement across the organization.
• Ability to work effectively in cross‑functional and matrix‑based environments.
• Comfortable operating in an international and multicultural business environment.

Additional Information

Join us and we’ll help build your career, with excellent training and opportunities for career growth across the business, both locally and globally. You’ll experience an inclusive environment, with strong leadership and a focus on safety and wellbeing. You’ll also have the flexibility to choose from a wide range of benefits to suit your lifestyle, offering you and your family support from a health and wellbeing, financial andlifestyle perspective.

Join us and work for a world‑leader, with the benefits and training to reward your dedication and skills. Be part of a team where we are making the world a safer place.

We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.

• Grade: 09
• Employee Group: Permanent
• Global Region: Asia Pacific