เงื่อนไขการค้นหา

ทักษะ:

Product Development, Tableau, SQL

ประเภทงาน:

งานประจำ

• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Experience using business intelligence tools (e.g. Tableau).
• Knowledge of SQL and Python.
• Understanding of machine-learning and operations research.
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics).
• Problem-solving aptitude.
• Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN: (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย: (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ทักษะ:

Digital Marketing, Big Data, Statistics

ประเภทงาน:

งานประจำ

• Drive clear and effective business translation of AI/ML products between business and technical stakeholders..
• Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives..
• Analyze Big Data to develop effective predictive and recommendation models..
• Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance..
• Continuously refine and enhance AI models through testing and performance evaluation..
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects..
• Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field..
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field..
• Proficiency in some of the following: Python, PySpark and SQL etc..
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus..
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus..
• Ability to communicate and collaborate with cross-functional teams..
• Growth mindset and openness to continuously learning and facing new projects and new technologies...
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Kafka, Python, SQL

ประเภทงาน:

งานประจำ

• Develop and maintain credit risk assessment and lending decisions modules.
• Expertise for handling large financial databases and credit data manipulation.
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask, FastAPI) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies.
• Monitor model performance to ensure high accuracy and reliability in credit decisions.
• Data Analysis & Risk Assessment.
• Clean and preprocess financial datasets, particularly credit lending and risk data.
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills.
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms (AWS,GCP) for model deployment.
• Knowledge of statistical and machine learning techniques for risk modeling.
• Domain Expertise.
• Understanding of credit lending and risk assessment principles.
• Experience in financial data analysis within regulatory constraints.
• Proven track record in developing credit decision engines (optional).
• Education & Experience.
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field.
• Minimum 3 years experience in retail lending or similar role.
• Additional Requirements.
• Strong communication skills for presenting complex findings and process flow to management.
• Experience with data visualization tools (Tableau, Power BI).
• Ability to work collaboratively with cross-functional teams..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

ทักษะ:

Python, TensorFlow

ประเภทงาน:

งานประจำ

• Develop, fine-tune, and deploy AI/ML models for real-world financial use cases across the group.
• Collaborate with AI Scientists on model architecture, evaluation, and optimization to ensure production-readiness.
• Integrate AI solutions into product pipelines in close coordination with Software Engineering and Data Engineering teams.
• Support testing, monitoring, and continuous iteration of models in live environments.
• Contribute to building and scaling SCBX s AI engineering capability across multiple business domains.
• If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply.
• Hands-on experience in AI/ML engineering or a related technical field.
• Solid foundation in machine learning, deep learning, or natural language processing.
• Proficiency in Python and common ML frameworks such as PyTorch or TensorFlow.
• Strong collaboration skills with the ability to work effectively in cross-functional squad environments.
• Experience with LLMs, generative AI, or MLOps practices is an advantage.
• Exposure to financial services or enterprise-scale AI deployment is an advantage.
• About Us.
• SCBX is the mothership of the financial technology business group comprising Siam Commercial Bank, SCB 10X Co., Ltd., Card X Co., Ltd., InnovestX Securities Co., Ltd., and other companies. SCBX drives and powers the development and execution of strategic initiatives, with a particular emphasis on financial enterprises and digital technologies. This includes pursuing new business opportunities, M&A, strategic investments, partnerships, and divestitures. It captures some of the biggest growth opportunities with superior returns, by adapting to consumers' changing behaviors and demands in a timely manner. These industries will improve the overall quality of life while serving a greater purpose. The company conducts business with flexibility and prudence in governance and risk management and has the potential to compete equally in global competitions.

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:

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.

ทักษะ:

DevOps, Automation

ประเภทงาน:

งานประจำ

• Lead end-to-end delivery of AI projects from use case definition to deployment.
• Define project success metrics and monitor progress and outcomes.
• Coordinate work across Data Engineers, Data Scientists, AI Engineers, DevOps, and IT and related teams to obtain required system access, environments, and technical approvals for AI project implementation.
• Build prototypes/MVPs to validate AI use cases using AI code assistants.
• Ensure AI solutions are production-ready with automation, scalability, reliability, monitoring, and governance.
• Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Business, or related field.
• Experience managing technology, data, or AI-related projects.
• Strong understanding of AI/ML project lifecycle and data-driven solutions.
• Experience coordinating cross-functional teams (data, engineering, IT, and business).
• Familiarity with AI development tools and ability to build basic prototypes or MVPs using AI code assistants.
• Strong project planning, stakeholder management, and communication skills.
• Ability to translate business problems into AI project requirements.
• Contact: Wirakarn (Mudmee) Email: [email protected]

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.