Data Scientist
Smiths Group Bengaluru, Karnataka, India
Security and Investigations · 1,001-5,000 employees
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
Develop, maintain, and document software components and machine learning pipelines using Python, C/C++, and Bash. Collaborate with cross-functional teams to investigate software defects, perform code reviews, and ensure high-quality data and algorithm training.
What they look for
Requirements
Requires a bachelor's degree in Engineering or Computer Science with a strong foundation in mathematics and statistics. Candidates must have experience with machine learning frameworks, containerization tools like Docker and Kubernetes, and proficiency in Python and C/C++.
Benefits
Full 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, 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 organizational 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.
As per company policy, this role requires presence in the office 4 days per week.
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 and lifestyle 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.
At no time during the hiring process will Smiths Detection, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website.
- Grade: 09
- Employee Group: Permanent
- Global Region: Asia Pacific
Similar roles
-
Senior Analytical Data Scientist
Satomic San Diego, California, United States · $165K–$180K/yr
-
Senior Data Scientist, Lucie
Oscar Health New York, New York, United States · $164K–$215K/yr
-
Sr. Data Scientist
Chubb Jersey City, New Jersey, United States · $125K–$183K/yr
-
Data Scientist
NielsenIQ Ciudad de México, Mexico
-
Senior Data Scientist, Fraud
Oscar Health New York, New York, United States · $164K–$215K/yr
-
Data Scientist
Fairview Health Services Minneapolis, Minnesota, United States · $115K–$162K/yr