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Skills:

Product Development, Tableau, SQL

Job type:

Full-time

• 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.

Experience:

3 years required

Skills:

ETL, TensorFlow, Statistics

Job type:

Full-time

• Designing and developing data integration (including batch/real-time, ETL/ELT) processes with a variety of structured and unstructured data with tools such as Informatica, Talend, Pentaho PDI or AWS Glue.
• Applying analytical models to predict business outcomes with tools such as Dataiku, DataRobot or TensorFlow, Keras or pyTorch.
• Good understanding of AI/ML processes and algorithms like k-means clustering, propensity models, text analytics, predictive models.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Consultant across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• Requirements:A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Machine learning and big data activities and demonstrate value through use cases. Applied experience in 2 or more types of machine learning problem classes- forecasting, prediction, segmentation, optimization and cognitive use cases.
• Proficient at data quality assessment, data exploration, profiling, design and development of analytic data sets, statistical analysis and machine learning modelling, application of new types of algorithms for predictive modelling, segmentation, forecasting, and optimization.
• Work on development of new data science solutions iteratively by building quick POCs and converting ideas into real products.
• Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Have a passion for delivering quality code and ensuring the team's deliverables meet or exceed client expectations.
• Good foundation in data science, with competencies in data structures, algorithms and coding.
• 3-5 years of experience in data science building supervised, unsupervised and/or optimization models leading to business impact. Comfortable working cloud environments and big data / scalable computing.
• Experience with AWS or GCP machine learning platform or python or R.
• Experience with tools such as Dataiku, DataRobot.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website. Requisition ID: 114154In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Experience:

5 years required

Skills:

Digital Marketing, Big Data, Quantitative Analysis

Job type:

Full-time

• 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.

Skills:

Creativity

Job type:

Full-time

• Guide the team in applying strong engineering practices across software and infrastructure delivery.
• Stay hands-on where needed to support critical decisions and unblock technical challenges.
• Build domain knowledge within the team and set clear expectations around quality, reliability, maintainability, and operational readiness.
• Establish credibility through consistent delivery and sound technical judgment.
• Customer-Centric Delivery.
• Ensure the team designs, delivers, and supports software with a strong focus on customer experience.
• Support fast, effective responses to operational issues that impact or risk impacting customers.
• Use customer feedback and metrics to improve engineering processes, design decisions, and team performance.
• Risk, Safety, and Reliability Management.
• Lead delivery practices that balance speed with safety, ensuring secure and reliable engineering outcomes.
• Set expectations for secure coding, readiness reviews, and robust operational practices.
• Use risk insights, data, and post-incident learnings to guide better decision-making and strengthen engineering resilience.
• People Leadership & Team Development.
• Own team outcomes and guide engineers through ambiguity, ensuring reliable and predictable delivery.
• Coach engineers to grow their technical capability, problem solving skills, and leadership potential.
• Foster a culture of learning, accountability, and continuous improvement.
• Build future engineering leaders by providing mentorship, constructive feedback, and leadership opportunities.
• Data-Driven Decision Making & Improvement.
• Encourage the team to test assumptions, validate decisions with evidence, and incorporate feedback loops.
• Use data to inform planning, prioritization, design choices, and quality improvements.
• Support innovation and experimentation that drives measurable enhancements in engineering practices.
• Adaptability & Continuous Improvement.
• Empower the team to challenge current practices and adopt improved ways of working.
• Encourage creativity, experimentation, and problem-solving to enhance productivity and quality.
• Invest in your own professional development and support others in strengthening their technical and leadership craft.
• Communication & Stakeholder Alignment.
• Communicate priorities, goals, and expectations clearly to foster trust and alignment.
• Provide timely, constructive feedback that supports individual and team growth.
• Connect team work to broader business objectives and customer outcomes.
• Practical understanding of machine learning concepts and AI system design.
• Experience integrating AI/ML models into production systems.
• Familiarity with AI enabled developer tools (e.g., code assistants, automated testing, data pipelines).
• Ability to guide technical decisions involving AI without being a hands on data scientist.
• Manager
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
• Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
• Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
• We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
• You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject.
• If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Job type:

Full-time

• 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!