• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
Singapore Jobs Expertini

Industrial Data Science & AI Engineer Job Opening In Singapore, Singapore – Now Hiring Thales


Job description

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges.

From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence.

Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region.

With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors.

Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

Summary:

Thales Avionics (AVS) in Singapore consists of manufacturing and repair activities for aircraft OEM and airlines respectively.

This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation.

They oversee the end-to-end project lifecycle, from requirements gathering and data analysis to model development, deployment, and performance monitoring.

This role holds a blend of project management expertise, technical proficiency in data science and analytics, and a deep understanding of industrial operations.

He/She will be the initiator, influencer and driving the stakeholders to emulate, synchronize and connect to make Thales AVS more sustainable and competitive through innovation and collaboration to achieve industrial excellence.

Responsibilities:

  • Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.
  • Stakeholder Engagement: Collaborate with stakeholders to understand business needs, operational challenges, and opportunities for leveraging data science to drive value.
  • Data Acquisition and Preparation: Work with data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and modeling.
  • Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.
  • Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems.

    Deploy standards defined and contribute to their improvements.
  • Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.
  • Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.
  • Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.
  • Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.
  • Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.
  • Business Value Delivery: Define, measure and keep track of business value deliverables link to the project ROI
  • Technical Leadership: Drive the design, development, and optimization of scalable data pipelines, APIs, and data platforms to support advanced analytics, AI, and business intelligence use cases.
  • Dashboard & Visualization Solutions: Lead the development of enterprise-grade dashboards using Flask (or equivalent frameworks), ensuring usability, performance, and integration with data science models.
  • Data for Digital Twin & Simulation: Architect and oversee the creation of data inputs for digital twin environments, enabling predictive simulations and real-time monitoring by integrating structured/unstructured inputs (JSON, XML, APIs).
  • AI & Chatbot Integration: Design and implement intelligent assistant solutions, leveraging Retrieval-Augmented Generation (RAG) and related AI techniques to enhance knowledge discovery and automation.
  • Data Strategy & Standards: Define best practices for data engineering, quality assurance, monitoring, and governance, ensuring compliance with enterprise and security standards.
  • Collaboration & Mentorship: Work closely with cross-functional teams (data scientists, software engineers, product owners) while mentoring junior engineers to raise the team’s technical capability.
  • Requirements:

  • Bachelor's degree in computer science, data science, industrial engineering, or a related field.
  • Proven experience in project management, specifically in leading data science or analytics projects in industrial settings.
  • Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus
  • Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.
  • Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.
  • Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.
  • Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.
  • Familiarity with data governance, privacy, and security best practices in industrial environments.
  • Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus
  • Proven track record of dashboarding and visualization (e.g., PowerBI, Flask, Plotly/Dash, or integration with BI tools) for decision-making support.
  • Experience with digital twin simulation and real-time data integration, including structured/unstructured formats (JSON, XML) and APIs.
  • Exposure to AI-driven solutions, especially chatbot development and Retrieval-Augmented Generation (RAG).
  • Excellent communication and stakeholder management skills, with the ability to present complex technical concepts to non-technical audiences.
  • Other Information:

  • Work Location: Changi North Rise
  • Working Days: Monday - Friday
  • Company transport provided from designated MRT stations.
  • At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do.

    Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do.

    Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

    Required Skill Profession

    Computer Occupations


    • Job Details

    Related Jobs

    Thales Group hiring Industrial Data Science & AI Engineer Job in Singapore
    Thales Group
    Singapore
    Thales hiring Industrial Data Science Job in North East Community Development Council, SG.02, Singapore
    Thales
    North East Community Development Council, SG.02, Singapore
    OniGroup hiring AI Data Science Engineer Job in Singapore
    OniGroup
    Singapore
    Just Recruit Singapore Pte Ltd hiring AI/ML/ Data Science Engineer Job in Singapore
    Just Recruit Singapore Pte Ltd
    Singapore
    Adecco Personnel Pte Ltd. hiring Data Science/AI Researcher Job in Central Singapore Community Development Council, SG.01, Singapore
    Adecco Personnel Pte Ltd.
    Central Singapore Community Development Council, SG.01, Singapore
    Internal Security Department hiring Data Science & AI Researcher Job in Singapore
    Internal Security Department
    Singapore
    ST Engineering Aerospace Ltd hiring Automation & Industrial AI Engineer Job in Seletar, SG.02, Singapore
    ST Engineering Aerospace Ltd
    Seletar, SG.02, Singapore
    Flintex Consulting Pte Ltd hiring Data Science & Engineer Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Flintex Consulting Pte Ltd hiring Project Lead (Data Science / AI) Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Flintex Consulting Pte Ltd hiring Project Lead (Data Science / AI) Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Flintex Consulting Pte Ltd hiring Project Lead (Data Science / AI) Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Munich Re hiring Data Science & Gen-AI Intern Job in Singapore
    Munich Re
    Singapore
    Flintex Consulting Pte Ltd hiring Project Lead (Data Science / AI) Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Flintex Consulting Pte Ltd hiring Project Lead (Data Science / AI) Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Flintex Consulting Pte Ltd hiring Project Lead (Data Science / AI) Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Flintex Consulting Pte Ltd hiring Project Lead (Data Science / AI) Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Flintex Consulting Pte Ltd hiring Project Lead (Data Science / AI) Job in Singapore
    Flintex Consulting Pte Ltd
    Singapore
    Ministry of Defence Singapore hiring Data Science Job in Singapore
    Ministry of Defence Singapore
    Singapore
    Changi General Hospital hiring Data Science Job in Simei New Town, Simei New Town, Singapore
    Changi General Hospital
    Simei New Town, Simei New Town, Singapore
    Ministry of Defence Singapore hiring Data Science Job in Singapore
    Ministry of Defence Singapore
    Singapore
    Munich Re hiring Data Science Job in Singapore
    Munich Re
    Singapore
    FlocCare Pte. Ltd. hiring Data Science Job in Singapore
    FlocCare Pte. Ltd.
    Singapore
    Zurich Insurance Company hiring Data & AI Engineer Job in Singapore
    Zurich Insurance Company
    Singapore
    InnoCellence hiring AI Data Engineer Job in Singapore
    InnoCellence
    Singapore
    VISTRA hiring AI/Data Engineer Job in WorkFromHome, Singapore, Singapore
    VISTRA
    WorkFromHome, Singapore, Singapore
    PROJECT SEARCH hiring Data Engineer – AI Job in Singapore
    PROJECT SEARCH
    Singapore
    InnoCellence Systems hiring AI Data Engineer Job in Singapore
    InnoCellence Systems
    Singapore
    Zurich Insurance hiring Data & AI Engineer Job in Singapore
    Zurich Insurance
    Singapore
    BEATHCHAPMAN (PTE. LTD.) hiring Data & AI Engineer Job in Singapore
    BEATHCHAPMAN (PTE. LTD.)
    Singapore
    Zurich 56 Company Ltd hiring Data & AI Engineer Job in Singapore
    Zurich 56 Company Ltd
    Singapore

    Unlock Your Industrial Data Potential: Insight & Career Growth Guide


    Real-time Industrial Data Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Industrial Data in Singapore, Singapore, highlighting market share and opportunities for professionals in Industrial Data roles.

    5574 Jobs in Singapore
    5574
    5057 Jobs in Singapore
    5057
    Download Industrial Data Jobs Trends in Singapore and Singapore

    Are You Looking for Industrial Data Science & AI Engineer Job?

    Great news! is currently hiring and seeking a Industrial Data Science & AI Engineer to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Thales adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Singapore laws and regulations

    What Is the Average Salary Range for Industrial Data Science & AI Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Industrial Data Science & AI Engineer?

    Key qualifications for Industrial Data Science & AI Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Industrial Data Science & AI Engineer?

    To improve your chances of getting hired for Industrial Data Science & AI Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Industrial Data Science & AI Engineer Job Success

    Thales interview tips for Industrial Data Science & AI Engineer

    Here are some tips to help you prepare for and ace your Industrial Data Science & AI Engineer job interview:

    Before the Interview:

    Research: Learn about the Thales's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Industrial Data Science & AI Engineer interview at Thales, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Thales's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

    How to Set Up Job Alerts for Industrial Data Science & AI Engineer Positions

    Setting up job alerts for Industrial Data Science & AI Engineer is easy with Singapore Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!