Driver / Data Collector in Ypres, Belgium
On site
Ypres, Belgium
Full Time
14-03-2025
Job Specifications
Company Description
Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
Project Overview
This project aims to collect high-quality visuals of streets, key points of interest, and public spaces across EU countries. Using vehicles equipped with removable 360° cameras and lidars, drivers will capture comprehensive images of the surroundings. The captured data will be stored on onboard computers (SSD Drives) and later utilized to enhance one of the world’s leading online mapping platforms.
Data collectors will follow pre-assigned routes, focusing on public streets, commercial areas, and points of interest. To ensure the highest image quality, certain areas may need to be revisited during favorable weather conditions.
The duration of the project varies based on the scope of work required in each targeted data collection area. On average, the assignments involve 3 to 6 months of active work.
Work schedule: full time engagement within standard business hours (8 AM - 7 PM).
The recruitment process for the position of a Driver involves such steps: safety driving test, interview with recruiter, and onboarding process.
Ideal Candidate:
Holds a valid EU-issued driver’s license
Maintains a clean background check (criminal and driving record)
Has at least 5 years of driving experience
Possesses professional driving experience (e.g., taxi, delivery, logistics)
Proficient in English and the local language
Tech-savvy, with experience using GSuite tools (Gmail, Google Spreadsheets, Google Forms)
Basic knowledge of vehicle mechanics
Demonstrates responsibility, reliability, and professionalism
Enjoys traveling and exploring new places
Familiar with the area of operations
What We Offer:
A dynamic and engaging project that goes beyond just driving
Competitive salary
Comprehensive training covering both practical and theoretical aspects of data collection
Ongoing support from experienced managers
The opportunity to work in an international team and environment
If you’re interested, apply now and join us in shaping the future of data collection!
About the Company
TSMG is your expert data collection partner with a presence across Europe and North America. Our mission is to empower tech companies with seamless data collection, fueled by our relentless pursuit of excellence. • We handle complex data collecting projects. • Our team supports Fortune 500 companies with all aspects of data collecting projects – from recruiting to logistics and beyond. • We gather vast volumes of relevant, accurate, and diverse datasets to fuel the intelligence of your AI systems. • We find and man... Know more
Related Jobs
- Company Name
- Exsolvæ
- Job Title
- Solver - Data Science & Machine Learning Specialist
- Job Description
- About Exsolvæ: Exsolvæ is a Brussels-based consultancy at the forefront of Data and Artificial Intelligence innovation. We specialize in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Science, Advanced Analytics, and Artificial Intelligence. At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions. We are seeking a Data Science & Machine Learning Specialist with a proven ability to design, develop, and deploy transformative AI and machine learning solutions. Your Role: As a Data Science & Machine Learning Specialist, you will work alongside multidisciplinary teams to unlock the full potential of data assets for clients. You will design state-of-the-art ML models, develop data-driven insights, and deploy production-grade AI solutions. Leveraging your expertise, you will help clients overcome their most pressing challenges and create sustainable value using AI and ML. What We’re Looking For: Required Skills and Qualifications Educational Background: Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field. Languages: Written & Spoken Fluency in English AND French or Dutch Seniority: 3-7 years of work experience Programming Skills: Expertise in Python and SQL, with experience in big data tools like Apache Spark or Databricks. Machine Learning Mastery: Proficiency in TensorFlow, PyTorch, and scikit-learn for designing, training, and deploying ML models. Cloud Expertise: Hands-on experience with Azure Machine Learning, AWS SageMaker, or GCP Vertex AI for scalable AI deployments. Data Visualization: Proficiency in tools like Tableau, Power BI, and Python-based libraries such as Matplotlib, Seaborn, and Plotly. Statistics and Mathematics: Deep understanding of linear algebra, calculus, probability, and advanced statistical techniques. Soft Skills: Exceptional communication, critical thinking, and stakeholder management skills. Preferred Skills Familiarity with advanced ML techniques, such as reinforcement learning, graph ML, and large language models (LLMs). Experience with MLOps tools like MLflow, Kubeflow, and Docker/Kubernetes. Knowledge of causal inference frameworks (e.g., DoWhy, EconML) and time-series forecasting methods. Certifications such as Microsoft Certified: Azure AI Engineer Associate, AWS Certified Machine Learning, or Google Professional ML Engineer. What You’ll Do: Core Expertise Client Engagement: Collaborate with clients to identify data challenges, define objectives, and recommend AI/ML solutions that align with business goals. Model Development: Design and train advanced machine learning models using frameworks such as TensorFlow, PyTorch, and scikit-learn. Insight Generation: Transform complex datasets into actionable insights using statistical analysis and advanced visualization tools like Power BI or Tableau. Technical Implementation Machine Learning Solutions: Develop models for classification, regression, clustering, and NLP using modern techniques, including deep learning and reinforcement learning. Data Engineering: Collaborate with Data Engineers to build robust data pipelines and optimize data for ML applications using platforms like Azure, AWS, or GCP. MLOps: Deploy and maintain models in production environments using MLOps pipelines with tools like MLflow or Kubeflow. Cloud Deployment: Implement AI workflows on cloud platforms such as Azure Machine Learning, AWS SageMaker, or GCP Vertex AI with scalability and performance in mind. Research and Innovation Stay updated on advancements in AI/ML technologies and incorporate state-of-the-art practices into client projects. Explore innovative methodologies like transfer learning, Vision Transformers, and graph neural networks to enhance solutions. Project Management Lead end-to-end ML projects, from problem definition to model deployment, ensuring alignment with client objectives and deadlines. Collaborate with cross-functional teams, including Data Engineers and Solution Architects, to deliver comprehensive solutions. Training and Support Conduct workshops and training sessions to empower client teams in adopting and managing AI/ML solutions. Provide ongoing support to ensure the scalability and performance of deployed AI systems. Why Join Us? Impactful Projects: Work on transformative AI/ML initiatives across industries like finance, healthcare, retail, and energy. Continuous Learning: Access to the latest tools, certifications, and training opportunities to remain at the cutting edge of AI and ML. Collaborative Culture: Be part of a team that values knowledge sharing and collective growth. Hybrid Flexibility: Enjoy a balanced work model with opportunities for remote and in-office collaboration. Competitive Compensation: Benefit from an attractive salary, performance-based bonuses, and comprehensive benefits. If you are a driven professional with a passion for Artificial Intelligence and a proven ability to design and deploy impactful AI/ML solutions, we’d love to hear from you!
- Company Name
- KPMG Belgium
- Job Title
- Microsoft Purview Consultant – Data Security and Compliance Focus
- Job Description
- Function Advisory - Manager Roles & Responsibilities As a Microsoft Purview Consultant specializing in data security and compliance, you will play a crucial role in ensuring our clients' data assets are secure and compliant with regulatory standards. While data governance is a nice-to-have, our primary focus will be on leveraging Purview's robust security and compliance features. Data Security: Implement data loss prevention (DLP) policies to safeguard sensitive information. Manage data classification and labeling to ensure proper handling and protection. Monitor for unauthorized access and potential security breaches. Compliance: Ensure adherence to regulations such as GDPR, CCPA, and HIPAA. Conduct audits and gap analyses to identify and address compliance gaps. Develop and maintain documentation and reporting mechanisms for audits. Staying Updated: Keep abreast of the latest security threats and regulatory changes. Continuously update strategies and policies to align with new requirements. Location Zaventem HQ Skills & Qualifications Proficiency in Microsoft Purview, with a focus on security and compliance features. Experience with data protection frameworks and regulations. Strong ability to design and implement security policies and procedures. Knowledge of risk management and incident response. Excellent communication skills to translate technical requirements into business terms. Technical skills in Azure services and relevant certifications (e.g., SC-400: Implement Information Protection in Microsoft 365; - AZ-500 Azure Security Engineer Associate) are a plus. We offer Benefits As a Top Employer in Belgium, KPMG offers an attractive salary package that aligns with your expertise and ambitions. Our benefits include: Flexible working arrangements Comprehensive insurance packages Company car and fuel card Net allowances and a laptop A smartphone (iPhone/iPad or Samsung) The opportunity to personalise your compensation package through our ReFlex@KPMG plan
- Company Name
- ING Belgium
- Job Title
- Data Scientist III
- Job Description
- A day in the life of a Data Scientist III Trying different approaches until you succeed if the problem is hard to crack or a technical solution hard to introduce. Making original solutions work in real-life by looking at things from a different perspective. Next, to being creative, you are also persistent. Working in cross-functional teams with ambitious goals, asking fellow team members for assistance, but also helping them out by sharing your knowledge and capabilities. Collaborating with many different parties throughout our organization enabled by your solid communication skills. Mobilizing people to capture the tremendous value that Data Science brings to customers of ING via your enthusiasm and passion that are contagious, How to succeed We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself. Machine learning, AI & data science knowledge to be applied on impactful projects. You have at least 4 years of relevant applied experience MSc or Ph.D. with excellent academic results in the field of Computer Science, Machine Learning, Mathematics, Statistics, or other quantitative fields Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer. Technical efficiency to create production ready models and roll them out. Knowledge of python, GCP & other cloud providers, GIT, ML algorithms, Model lifecycle. Stakeholder management and strong communication skills. Financial and banking knowledge as well as how it translates to analytics As a Data Scientist III you will have the opportunity to: Help us achieve our ambition to become the best Data Scientist team (in Banking). Engage in a great mix in strategic, operational & entrepreneurial assignments. Personal growth and challenging work with the needed support of senior data scientists, the international ING Data Science Community and the in-house Data Fluency Academy The team An informal, dynamic environment with innovative colleagues supporting your endeavors. We work in a progressive and agile way of working, where new ideas are valued ahead of convention. The team is composed of a mix of Data Analysts and Data Scientists and supported by both a Product Lead and Analytics translator. You will be joining us on our project-based way of working where most tracks are worked on by a small, dedicated team of 2-3 people mixing the roles available in the team with extra support from subject matter experts specific to the track. This project-based way of working also means you will have the possibility to work on different topics ranging from pure marketing ‘propensity to buy’, to more foundational building blocks of the bank, such as classifying customer feedbacks all the way to customer facing features of the app like transaction categorization. , ING Bank
- Company Name
- Sansaone
- Job Title
- Data Warehouse Engineer(SAN499)
- Job Description
- Job Description A Data Warehouse Engineer is responsible for designing, building, and managing data warehouse systems that collect, store, and analyze large amounts of data. They work closely with business analysts, data scientists, and other stakeholders to ensure that data is stored in an efficient and accessible way, enabling the organization to make data-driven decisions. Responsibilities: Design and build the architecture for large-scale data warehouses and ensure it aligns with business requirements. Extract, transform, and load (ETL) data from various sources into the warehouse, ensuring data is cleansed and normalized. Develop and maintain database schemas, dimensional models, and other structures that support business intelligence and analytics. Monitor and optimize data warehouse performance to ensure that data retrieval and processing are efficient. Work closely with data scientists, data analysts, and business users to understand their data needs and improve reporting and data accessibility. Technical Skills: NiFi Talend MySQL Snowflake Python Java Tableau Power BI AWS Git Hiring Team Member Avula Srivalli Recruitment Coordinator LinkedIn Mail