เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ทักษะ:

Software Development, DevOps, Project Management

ประเภทงาน:

งานประจำ

• Comfortable in a client-facing role with the ambition to lead teams.
• Likes to distill complex results or processes into simple, clear visualizations.
• Explain sophisticated data science concepts in an understandable manner.
• Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience).
• Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data.
• Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients.
• Have strong project management skills.
• What You'll Bring.
• Master s Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field.
• Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues.
• Comfortable in a client-facing role with the ambition to lead teams.
• Likes to distill complex results or processes into simple, clear visualizations.
• Explain sophisticated data science concepts in an understandable manner.
• Strong record of professional accomplishment and leadership.
• Fluency in Python.
• Additional info.
• Ability to travel based on client and business needs.
• We are hiring across all experience levels.
• Fluency in Thai is preferred; strong English communication skills are also required.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

ทักษะ:

Contracts, Python, SQL

ประเภทงาน:

งานประจำ

• Design computational data models, reusable schemas, and structured data frameworks that improve interoperability, consistency, and machine usability across the R&D data ecosystem.
• Define reusable entity structures, metadata patterns, relationships, and data contracts that support integration across experimentation systems, analytics environments, and digital products.
• Translate scientific and business complexity into scalable model logic and reusable ...
• Context- and Knowledge-Driven Data Modelling.
• Develop context-rich data models that connect scientific data, metadata, documents, protocols, business rules, and domain concepts into reusable knowledge assets.
• Create information structures that preserve scientific meaning and operational context to improve consistency across functions and over time.
• Improve discoverability and reuse by formalizing relationships, definitions, and contextual attributes across fragmented systems and data sources.
• Ontology, Knowledge Graph, and RAG Foundations.
• Apply ontology principles to define consistent concepts, hierarchies, relationships, and machine-readable rules across priority R&D data domains.
• Support the development of R&D knowledge graph foundations by modeling relationships between experiments, protocols, observations, methods, assets, and decisions.
• Enable Retrieval-Augmented Generation (RAG) and other knowledge-driven AI approaches by improving retrieval structures, contextual linkages, and connections between structured and unstructured information.
• AI-Ready Data Platform Enablement.
• Contribute to AI-ready data platforms by defining reusable knowledge layers, integration patterns, and data-readiness standards.
• Partner with platform owners, Bioinformatics leads and technical stakeholders to scalable AI integration, and reliable information retrieval.
• Collaboration with Data Scientists and Bioinformatics Leads.
• Collaborate with Data Scientists and Bioinformatics lead to ensure analytical, digital, and AI solutions are built on reusable and scalable data foundations.
• Contribute to shared architecture discussions, design reviews, and foundational modelling decisions aligned with business and platform needs.
• Documentation, Standards, and Change Enablement.
• Document modelling standards, ontologies, schemas, and reusable reference patterns to support consistent adoption across teams.
• Provide technical guidance on computational data models, ontology structures and AI-ready data design approaches.
• Governance, Safety, and Professional Standards.
• Ensure data models and knowledge structures align with governance, security, lineage awareness, traceability, and responsible AI enablement standards.
• Balance architectural rigor, usability, innovation, usability, and practical business value to support scalable implementation.
• Qualifications Advanced degree (MSc or PhD) or equivalent applied experience in data science, computational modeling, data engineering, knowledge engineering, computer science, bioinformatics, or a closely related field.
• Demonstrated hands on experience designing reusable computational data models, including entities, schemas, relationships, metadata structures, and model driven data consumption patterns.
• Strong expertise in semantic modeling, ontology principles, and knowledge representation, with the ability to translate complex domain concepts into machine readable structures.
• Proven experience with knowledge graphs, information retrieval, or retrieval augmented generation (RAG)-enabling architectures, including context layering and source grounding.
• Solid programming and data engineering capability (e.g., Python/R, SQL), with experience working on modern data platforms and analytics ecosystems.
• Ability to translate scientific, business, and operational rules into robust, reusable model logic that supports analytics, digital workflows, and AI enabled applications.
• Experience designing for interoperability and reuse across platforms and products, avoiding one off or locally optimized solutions.
• Strong communication and collaboration skills, with experience working in matrix environments and explaining complex modeling or architecture concepts in practical business terms.
• Additional InformationSyngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
• LI-Onsite.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Data Warehousing

ประเภทงาน:

งานประจำ

• Intermediate certification on at least 1 cloud ecosystem and 1 data related cloud technology.
• Advanced knowledge of security for cloud computing.
• Expert level skills for Informatica services and product capabilities in respective major or area of focus.
• Ability to engage VP/Director customer personas.
• Credibility with data engineers, data scientists, and other technical personas.
• Expert storytelling and presentation skills across multiple horizontal and vertically specific use cases.
• Advanced technical knowledge of hybrid deployment of software solutions, data warehousing, database, and/or business intelligence software concepts and products.
• Strong written and verbal communication skills.
• Ability to create and execute on a strategic technical account plan.
• ESSENTIAL DUTIES.
• Proactive learner.
• Manage customer engagements independently.
• Responsible for sharing best practices, content, and tips and tricks, and competitive intelligence for major or area of focus across area or theater.
• Stay current on certification of services required for area of responsibility.
• Perform all activities leading up to the delivery of a customer demo with no assistance including discovery, technical qualification/fit, customer presentations, demos, and related customer facing communication.
• Create and deliver customized demos.
• Conduct technical workshops with customers.
• Lead RFP responses and POC s.
• Partner with the CSM team on nurture activities including technical advisory, workshops, etc.
• Provide customer feedback on product gaps using Vivun.
• Ability to support demos at marketing events independently.
• Ability to create and present new customer demos for new use cases with minimal assistance.
• Present existing EBC content.
• EDUCATION & EXPERIENCE.
• 8+ years of relevant experience in data integration, master data management, or data governance.
• 10+ years of presales/technical sales or consulting experience.
• BA/BS or equivalent educational background is preferred.
• LI-Y.
• Unleash Your Potential.
• When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world.
• Accommodations.
• If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
• Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
• Posting Statement.
• Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

ประเภทงาน:

งานประจำ

• We are looking for a Data & AI Consultant (Mid-level) to support data-driven projects and AI initiatives.
• In this role, you will be responsible for preparing, transforming, and structuring data to enable efficient analytics and machine learning use cases, while ensuring alignment with business requirements.
• Your missions
• Design, develop, and maintain ETL pipelines and data workflows
• Prepare and structure data to support AI/ML and Data Science teams
• Build and optimize data models for analytics and reporting purposes
• Develop Power BI dashboards and visualizations for business stakeholders
• Ensure data quality, consistency, and integrity across systems
• Collaborate with data engineers, data scientists, and business teams
• Translate business needs into technical data solutions
• Support integration of data across multiple systems and sources
• Contribute to continuous improvement of data processes and architecture
• Your profile
• Mid-level experience in Data Engineering, Data Analytics, or related field
• Strong knowledge of ETL processes and data transformation
• Experience in data modeling and structuring datasets
• Hands-on experience with Power BI or similar BI tools
• Understanding of how to prepare data for AI/ML use cases
• Basic understanding of cloud environments (AWS, Azure, or GCP) is a plus
• Strong analytical and problem-solving mindset
• Good communication skills in English
• What we offer
• Opportunity to work on data and AI transformation projects
• Exposure to modern data stack and cloud technologies
• Continuous learning and professional development
• A collaborative, international, and dynamic work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Compliance, Python, SQL, English

ประเภทงาน:

งานประจำ

• 50% to conceptualising, designing, building, and scaling Procurement GenAI/ Agentic AI agents and use-cases.
• 50% to delivering client service with focus on savings & value creation, category insights, operating model, and holistic procurement transformation.
• You will help clients reinvent procurement with digital and GenAI capabilities, unlocking step-change value, greater resilience, sustainability impact, and innovation across their value chains. This role is ideal for a procurement expert who is also te ...
• This is a global role reporting to BCG s Global Topic Leader for Procurement, and you will operate as part of our Global GenAI Procurement Team across North America, Europe, and Asia.
• Our Expert Consulting Track.
• The Expert Consulting Track (ECT) is vital to BCG s ability to successfully meet our clients demand for deep expertise and advanced technical capabilities. Experts deliver next-level impact for BCG's most complex and cutting-edge client challenges. Experts focus on developing BCG's thought leadership, commercial capabilities, and intellectual property assets; and their work is essential to our delivery model. Working as part of a multidisciplinary team to bring the best of BCG to our clients, Experts come from diverse backgrounds, with expertise often gained outside of BCG in industry, academia, or specialized consulting.
• What You'll Bring.
• Core Procurement Expertise.
• 7-12 years of experience in procurement, supply chain, digital procurement, or related fields.
• Strong fundamentals in category management, sourcing, contracting, supplier management, compliance, and risk.
• Proven track record in delivering procurement value creation and transformation programs.
• Experience in top-tier consulting firms is a strong plus.
• Experience in Procurement or Supply Chain functions of leading blue-chip or Fortune 500 companies especially within AI/GenAI-focused COEs, is an advantage.
• GenAI Technical Competencies.
• Hands-on experience building GenAI solutions, not just managing vendors - e.g., working with LLMs, knowledge retrieval (RAG), prompt engineering, agent design, workflow automation, or analytics tools.
• Ability to translate procurement processes into technical requirements and solution architectures.
• Ability to work collaboratively with engineers and data scientists, familiarity with Python, SQL, or no-/ low-code platforms will be a plus.
• Strong understanding of data readiness, governance, quality assurance, and model evaluation.
• Experience in AI-native or cloud-native companies is a strong plus, particularly in roles involving product development or applied AI.
• Consulting & Leadership Skills.
• Strong problem-solving and communication skills; ability to influence C-level stakeholders.
• Proven leadership managing teams and complex multi-workstream engagements.
• Fluency in English; proficiency in one or more SEA languages is an advantage.
• High adaptability, entrepreneurial mindset, and a passion for innovation in procurement.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Digital Marketing, Big Data, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topic Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3.
• Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across all digital channels and levers, including precision marketing, and analytics-enabled, one-to- one personalization.
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring.
• A minimum of 5 years of work experience within strategy and digital fields, including product management, digital marketing & analytics, and/or designing & delivering world-class software products, in leading digital companies and/or start-ups.
• Established record of driving strategic digital transformation and topics with value creation in mind.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists-or whatever is required to solve the client's challenge-will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• Candidates with lesser experience will be considered at the Associate level.
• Additional info.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.