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Join to apply for the
AI Solutions Consultant – Industrial
role at
Yokogawa
Join to apply for the
AI Solutions Consultant – Industrial
role at
Yokogawa
Not just a job, but a career
Yokogawa, award winner for 'Best Asset Monitoring Technology' and 'Best Digital Twin Technology' at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Not just a job, but a career
Yokogawa, award winner for 'Best Asset Monitoring Technology' and 'Best Digital Twin Technology' at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
About The Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
Responsibilities
Collaborate with Regional HQs and sales teams to develop opportunities and drive global order intake for AI-enabled AOM (Asset Optimization Management) solutions.
To understand client challenges across operations, maintenance, and asset performance, tailor AI-driven solutions to meet their needs.
Lead or support solution demonstrations, articulating business value through data-driven storytelling and technical depth.
Build trusted relationships with both technical stakeholders and executive sponsors.
Stay updated on AI trends in Industry 4.0, bringing innovation into client engagements and internal capability development.
Requirements
Bachelor's degree in engineering, Computer Science, AI/ML, or related discipline.
Minimum 5 years of working experience in AI, data science, digital transformation, or industrial automation.
Solid knowledge of industrial environments (oil & gas, mining, utilities) and experience with digital transformation projects.
Hands-on experience with AI/ML applications such as predictive maintenance, real-time optimization, digital twins, or anomaly detection.
Familiarity with platforms like ERP, MES, EAM/CMMS, APM, SCADA, and IoT ecosystems.
Strong communication, stakeholder engagement, and presentation skills.
Good understanding of edge computing, agentic AI, and time-series data
By responding to Yokogawa's advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.
We regret to inform that only shortlisted candidates will be notified.
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
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about our Employee Referral process!
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Consulting, Information Technology, and Sales
Industries Automation Machinery Manufacturing
Referrals increase your chances of interviewing at Yokogawa by 2x
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Overview
Business Analyst - AML AI Consultant role at Digital Business People. This is an individual contributor role focused on advising clients in the banking and financial services sector on how to integrate AI and advanced analytics into their operations, with a strong focus on financial crime risk areas such as Anti-Money Laundering (AML) and fraud detection.
The ideal candidate will combine deep domain expertise, a solid understanding of AI technologies, and the ability to articulate and shape client strategy at both technical and executive levels. This is a highly client-facing role requiring thought leadership, consulting finesse, and technical fluency. In certain circumstances the role necessitates responsibility for the delivery of such services and driving increased adoption of AI-based financial crime solutions with Actimize clients.
Base pay range
SGD60,000.00/yr - SGD120,000.00/yr
Duties and Responsibilities
Indirect/direct consulting to clients.
Deliver value-add consulting services in financial crime compliance, performance improvement and business transformation, leveraging knowledge of industry best practices and proven practices using Actimize solutions.
Establish working relationships with chosen partner ecosystem, internally and externally.
Communicate with clients to assess solution fit and identify product gaps.
Serve as a trusted AI advisor to banks and financial institutions, guiding them on strategic AI adoption with an emphasis on AML and fraud risk mitigation.
Lead and facilitate discovery workshops, client interviews, and problem-framing sessions to identify AI opportunities.
Translate client objectives into AI/ML use cases, roadmaps, and high-level solution architectures.
Provide insights and recommendations on AI-driven AML frameworks, fraud detection models, transaction monitoring, entity resolution, and case management automation.
Stay current on regulatory trends, technologies, and best practices in financial crime compliance (e.g., FATF, FCA, Basel guidelines).
Collaborate with data scientists, engineers, and client-side stakeholders to ensure alignment of strategy with technical feasibility and data availability.
Contribute to proposal development, thought leadership content, and client presentations.
Support pre-sales efforts and participate in business development activities as a domain and AI expert.
Ideal Profile
Education & Experience
Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related quantitative or business discipline.
5+ years of relevant experience in consulting, AI/analytics advisory, or financial services.
Strong knowledge of AI/ML technologies (e.g., predictive modelling, anomaly detection, NLP).
Proven experience working in or advising on AML, fraud detection, or financial crime risk domains.
Experience designing or supporting implementation of AI or analytics use cases in banking environments.
Familiarity with relevant platforms/tools: Python, SQL, cloud platforms (AWS, Azure, GCP), SAS, Actimize, or equivalent.
Subject matter expertise in the areas of artificial intelligence - in particular Machine Learning models and Generative AI and financial crime compliance.
Proficiency with deep learning frameworks and proficiency with Python and basic libraries for Machine Learning.
Expertise in visualizing and manipulating big datasets.
Excellent verbal and written communication and presentation skills.
Familiarity with languages/tools associated with development and deployment of cloud-based Machine Learning models.
Previous experience establishing best practices, including continuous-integration pipelines, unit testing, code review.
Able to thrive in a fast-paced environment and learn quickly.
Ability to travel approximately 15% of the time.
Inter-Personal Skills
Customer facing skills, presenting, and selling.
Proven ability to effectively communicate and influence at all levels of an organization, including C-level executives and decision makers.
Capable of working on multiple overlapping tasks in a fast-paced environment with a "can-do" attitude and problem-solving approach.
Strong consultative communication skills – able to engage senior stakeholders, facilitate workshops, and convey complex ideas simply.
Analytical mindset with a problem-solving orientation and a focus on outcomes.
Ability to work independently and drive client engagements with minimal supervision.
Adept at navigating ambiguity and translating it into structured, actionable insights.
Confidence and professionalism in delivering presentations, leading discussions, and challenging ideas constructively.
What's on Offer
Leadership Role
Work alongside & learn from best in class talent
Join a well known brand within Corporate Banking
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries: Banking, Technology, Information and Internet, and Insurance
Referrals increase your chances of interviewing at Digital Business People by 2x
Get notified about new Business Analyst jobs in Singapore, Singapore.
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As an AI Solutions Consultant , you will drive transformative change by designing, building, and deploying innovative AI-powered solutions across domains such as Generative AI, Anti-Fraud, Agent Systems, and Content & Growth Automation . You'll work hands-on to develop scalable, production-grade applications while acting as a trusted advisor to internal stakeholders, translating complex business and technical challenges into high-impact outcomes.

This role involves close collaboration with business leaders, product owners, and engineering teams to understand organizational needs and then leverage your expertise in LLMs, multi-agent orchestration, graph reasoning, or anomaly detection to develop tailored, production-ready solutions grounded in real-world context.

Providing hands-on consulting and technical expertise across multiple use cases — from customer support automation to fraud risk detection and AI content workflows — will be central to your role. You'll also work with platform and infrastructure teams to ensure AI solutions are robust, reproducible, and scalable.

Key Responsibilities

Solution Architecting

• Work with business and technical leads to manage and deliver successful implementations of AI-powered solutions across multiple verticals (e.g., GenAI copilots, fraud prevention pipelines, agent orchestration, content automation).
• Propose solution architectures and manage deployment strategies according to complex organizational requirements and best practices.
• Translate business objectives into actionable AI-powered use cases by gathering requirements, auditing data readiness, and designing integration flows for models, tools, and systems.
• Interact with internal stakeholders to manage project scope, priorities, deliverables, risks, and timelines for successful AI solution rollout.

Solution Engineering

• Develop, test, and deploy production-ready AI applications that integrate LLMs, retrieval pipelines, multi-agent logic, or real-time anomaly detection algorithms.
• Write clean, efficient code while optimizing for performance, cost, and latency across cloud and hybrid environments.
• Continuously evaluate and improve the performance, scalability, and efficiency of deployed solutions by incorporating new techniques and tooling.

Education & Enablement

• Collaborate with internal platform, product, and data teams to feed insights and learnings into roadmap design and reusable asset creation.
• Package successful approaches and best practices into internal methodologies, templates, and frameworks for broader enablement.
• Share your expertise through workshops, internal training sessions, and documentation to scale AI capabilities across the organization.
• Stay up-to-date with the rapidly evolving GenAI and applied AI landscape, proactively tracking emerging technologies in fields like large language models, graph ML, or adversarial behavior modeling.

Required Qualifications

Enterprise Application Development

• 5+ years of experience designing and developing enterprise-class applications, with a solid grasp of software development lifecycle principles.

AI/LLM Proficiency

• 2+ years of hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, vector store integration, and application design.
• Familiarity with foundation models across providers (OpenAI, Claude, Gemini, Qwen, Mistral, etc.) and open-source ecosystems.

Programming & Infrastructure

• Proficiency in at least one major programming language (Python, JavaScript, Java, or C#).
• Experience with Git-based version control and deployment frameworks using Docker, Kubernetes, or serverless tools.

Cloud & AI Ecosystem

• Experience deploying AI workloads on AWS, Azure, GCP, or Aliyun cloud platforms.
• Familiarity with modern AI frameworks and orchestration tools (e.g., LangChain, LlamaIndex, Haystack, LangGraph).

Domain & Data Experience

• Strong foundation in one or more of the following applied AI domains:
• Anti-Fraud: Behavioral modeling, risk scoring systems, graph-based fraud detection, or transaction anomaly detection.
• Agent Systems: LLM-powered autonomous agents, multi-turn interaction design, decision orchestration using tool/function calling.
• Content & Growth Automation: Scalable content generation, AI-driven SEO optimization, personalized growth strategies using data and model-driven insights.
• Understanding of data pipelines and experience with relational and non-relational databases (e.g., SQL, NoSQL, vector DBs).

Soft Skills

• Excellent communication and interpersonal skills to align cross-functional stakeholders.
• Strong analytical and problem-solving abilities to address ambiguous challenges and drive structured innovation.
• Demonstrated ability to engage, influence, and align with cross-functional business stakeholders across departments (e.g. operations, marketing, risk, product).
• Able to use Chinese and English as working language to work with chinese speaking stakeholders

Preferred Qualifications

• A background in management consulting, strategy, or enterprise solution delivery is strongly preferred, reflecting the ability to synthesize complex business needs into actionable AI initiatives.
• Experience in user-facing systems where latency, trust, and explainability are critical.

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.
With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, Dubai and more.
Introduction
As an
AI Solutions Consultant , you will drive transformative change by designing, building, and deploying innovative AI-powered solutions across domains such as
Generative AI, Anti-Fraud, Agent Systems, and Content & Growth Automation . You will work hands-on to develop scalable, production-grade applications while acting as a trusted advisor to internal stakeholders, translating complex business and technical challenges into high-impact outcomes.
This role involves close collaboration with business leaders, product owners, and engineering teams to understand organizational needs and then leverage your expertise in
LLMs, multi-agent orchestration, graph reasoning, or anomaly detection
to develop tailored, production-ready solutions grounded in real-world context.
Providing hands-on consulting and technical expertise across multiple use cases — from customer support automation to fraud risk detection and AI content workflows — will be central to your role. You will also work with platform and infrastructure teams to ensure AI solutions are robust, reproducible, and scalable.
Key Responsibilities
Solution Architecting
Work with business and technical leads to manage and deliver successful implementations of AI-powered solutions across multiple verticals (e.g., GenAI copilots, fraud prevention pipelines, agent orchestration, content automation).
Propose solution architectures and manage deployment strategies according to complex organizational requirements and best practices.
Translate business objectives into actionable AI-powered use cases by gathering requirements, auditing data readiness, and designing integration flows for models, tools, and systems.
Interact with internal stakeholders to manage project scope, priorities, deliverables, risks, and timelines for successful AI solution rollout.
Solution Engineering
Develop, test, and deploy production-ready AI applications that integrate LLMs, retrieval pipelines, multi-agent logic, or real-time anomaly detection algorithms.
Write clean, efficient code while optimizing for performance, cost, and latency across cloud and hybrid environments.
Continuously evaluate and improve the performance, scalability, and efficiency of deployed solutions by incorporating new techniques and tooling.
Education & Enablement
Collaborate with internal platform, product, and data teams to feed insights and learnings into roadmap design and reusable asset creation.
Package successful approaches and best practices into internal methodologies, templates, and frameworks for broader enablement.
Share your expertise through workshops, internal training sessions, and documentation to scale AI capabilities across the organization.
Stay up-to-date with the rapidly evolving GenAI and applied AI landscape, proactively tracking emerging technologies in fields like large language models, graph ML, or adversarial behavior modeling.
Required Qualifications
5+ years of experience designing and developing enterprise-class applications, with a solid grasp of software development lifecycle principles.
2+ years of hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, vector store integration, and application design.
Familiarity with foundation models across providers (OpenAI, Claude, Gemini, Qwen, Mistral, etc.) and open-source ecosystems.
Programming & Infrastructure
Experience with Git-based version control and deployment frameworks using Docker, Kubernetes, or serverless tools.
Experience deploying AI workloads on AWS, Azure, GCP, or Aliyun cloud platforms.
Familiarity with modern AI frameworks and orchestration tools (e.g., LangChain, LlamaIndex, Haystack, LangGraph).
Domain & Data Experience
Strong foundation in one or more of the following applied AI domains:
Anti-Fraud:
Behavioral modeling, risk scoring systems, graph-based fraud detection, or transaction anomaly detection.
Agent Systems:
LLM-powered autonomous agents, multi-turn interaction design, decision orchestration using tool/function calling.
Understanding of data pipelines and experience with relational and non-relational databases (e.g., SQL, NoSQL, vector DBs).
Soft Skills
Excellent communication and interpersonal skills to align cross-functional stakeholders.
Strong analytical and problem-solving abilities to address ambiguous challenges and drive structured innovation.
Demonstrated ability to engage, influence, and align with cross-functional business stakeholders across departments (e.g. operations, marketing, risk, product).
Preferred Qualifications
A background in
management consulting, strategy, or enterprise solution delivery
is strongly preferred, reflecting the ability to synthesize complex business needs into actionable AI initiatives.
Experience in user-facing systems where latency, trust, and explainability are critical.
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We are looking for a skilled professional to join our technology consulting practice.

• The ideal candidate will have the ability to develop new skills and experience to further their career.
• We seek individuals with relentless energy, who are eager to learn and contribute, thus creating value for clients, business, and society at large.

• Participate in all phases of project work (Plan, Analyze, Design, Build, and Test).
• Collaborate with subject matter experts to understand and analyze business problems and pain points, defining requirements for solution design.
• Gather and define technical, operational, and user requirements, assisting in conceptualizing architecture and technical solutions that are efficient, resilient, scalable, secure, and reusable.
• Develop, configure, and implement automation solutions or programs, scripts, and objects on various platforms, adhering to best practices and code standards.

As a member of our team, you will have the opportunity to work alongside leading consultants on challenging projects, increasing your understanding of complex business problems and how to solve them through technology.

• A collaborative environment where you can grow and develop your skills.
• Opportunities to work on diverse projects and with various stakeholders.

• Contribute to all phases of SimplifyNext's projects (Plan, Analyze, Design, Build and Test).
• Interact & communicate with various Process Subject Matter Experts (SME) of the businesses to understand and analyze business problems and pain points to better define requirements required for the solution design.
• Gather and define technical, operational and user requirements, assisting with the conceptual of architecture and technical solutions design that are efficient, resilient, scalable, secure and reusable.
• Develop, configure and implement automation solutions or programs, scripts and objects on various platforms that are efficient, well structured, maintainable and easy to understand in accordance with SimplifyNext's best practices and code standards.
• Identify or support the creation of all appropriate use cases/process scenarios and their expected outcomes that will be used during the delivery lifecycle for the process.
• Conduct user accepting testing and rollout phases with Process SMEs from the businesses and ensuring that solution has fulfilled the requirements.
• Provide support to the businesses in the post-implementation phase and support existing automations and implement change requirements.

• Min Diploma - preferably in Computer Engineering
• Excellent communications and inter-personal skills, and passion to deliver quality work
• Ability to analyse, design, develop, implement and maintain application code.
• Strong logical approach and problem-solving skills
• Quick learner that is passionate about technology
• Candidates without prior experience are welcome to apply

• Singaporean or Singapore Permanent Resident (SPR).
• Able to commit to completing the full training program.
• Able to meet the hiring requirements of the companies.

• While an applicant may meet the eligibility criteria, all applicants are subjected to the company's review for suitability with its hiring requirements, and may not be automatically shortlisted for interview.
• Only shortlisted applicants will be notified by the company directly.
• Companies may hire eligible applicants on a first-come-first-serve basis before any closing date.
• Companies may close their applications when all the jobs offered by the participating companies have been filled.
• Companies' hiring decision is final and are not obliged to offer explanation or appeals on their hiring decision.

• Contribute to all phases of SimplifyNext's projects (Plan, Analyze, Design, Build and Test).
• Interact & communicate with various Process Subject Matter Experts (SME) of the businesses to understand and analyze business problems and pain points to better define requirements required for the solution design.
• Gather and define technical, operational and user requirements, assisting with the conceptual of architecture and technical solutions design that are efficient, resilient, scalable, secure and reusable.
• Develop, configure and implement automation solutions or programs, scripts and objects on various platforms that are efficient, well structured, maintainable and easy to understand in accordance with SimplifyNext's best practices and code standards.
• Identify or support the creation of all appropriate use cases/process scenarios and their expected outcomes that will be used during the delivery lifecycle for the process.
• Conduct user accepting testing and rollout phases with Process SMEs from the businesses and ensuring that solution has fulfilled the requirements.
• Provide support to the businesses in the post-implementation phase and support existing automations and implement change requirements.

• Min Diploma - preferably in Computer Engineering
• Excellent communications and inter-personal skills, and passion to deliver quality work
• Ability to analyse, design, develop, implement and maintain application code.
• Strong logical approach and problem-solving skills
• Quick learner that is passionate about technology
• Candidates without prior experience are welcome to apply

At SimplifyNext, we specialize in driving business transformation through Automation, AI, and Low Code Apps. We empower organizations by scaling automation, integrating cutting-edge AI solutions into business processes, and delivering next-generation applications.

Additionally, we support our clients in building internal capabilities through our Centre of Excellence, comprehensive training, enablement programs, and Citizen Developer initiatives to ensure sustained success. Combining deep consulting and technology expertise, we have successfully executed projects for a diverse portfolio of global and ASEAN organizations. Our hands-on experience spans strategy formulation, seamless implementation, and operational excellence, providing invaluable insights into effective practices across various environments.

We harness digital technologies including Automation, Low Code Apps Platforms, Process Mining, and AI capabilities such as Intelligent Document Processing, Text Analytics, Generative AI, and Conversational AI. We proudly partner with leading Technology Vendors such as UiPath, Blue Prism, Automation Anywhere, OutSystems, ServiceNow, Microsoft, AWS, Druid AI, and Hyperscience.

Work you'll do

As a Technology Analyst at SimplifyNext, you will work alongside leading consultants in the industry to solve our clients' biggest challenges and make a positive, lasting impact on their businesses. You will collaborate with talented team members on complex projects, developing a deep understanding of business problems and the ability to solve them using cutting-edge technology. You will have the opportunity to expand your skills and experience, opening new possibilities for your career growth.

We're looking for individuals with a passion for learning and making a positive impact on our clients, business, and society. In this role, you will work on one of the leading Intelligent Automation (IA) platforms to deliver solutions for our clients. IA platforms include capabilities such as Robotic Process Automation (RPA), Process Mining, Process Analytics, Intelligent Document Processing (IDP), Text Analytics, Low-Code Application Development, Conversational AI, etc.

You'll be part of a team delivering end-to-end technology consulting and implementation projects on the above-mentioned areas. Your responsibilities would include:

• Contribute to all phases of SimplifyNext's projects (Plan, Analyze, Design, Build and Test).
• Interact & communicate with various Process Subject Matter Experts (SME) of the businesses to understand and analyze business problems and pain points to better define requirements required for the solution design.
• Gather and define technical, operational and user requirements, assisting with the conceptual of architecture and technical solutions design that are efficient, resilient, scalable, secure and reusable.
• Develop, configure and implement automation solutions or programs, scripts and objects on various platforms that are efficient, well structured, maintainable and easy to understand in accordance with SimplifyNext's best practices and code standards.
• Identify or support the creation of all appropriate use cases/process scenarios and their expected outcomes that will be used during the delivery lifecycle for the process.
• Conduct user accepting testing and rollout phases with Process SMEs from the businesses and ensuring that solution has fulfilled the requirements.
• Provide support to the businesses in the post-implementation phase and support existing automations and implement change requirements.

Qualifications

• Min Diploma - preferably in Computer Engineering
• Excellent communications and inter-personal skills, and passion to deliver quality work
• Ability to analyse, design, develop, implement and maintain application code.
• Strong logical approach and problem-solving skills
• Quick learner that is passionate about technology
• Candidates without prior experience are welcome to apply

Eligibility Criteria for IMDA-CLT Program

Trainees eligible for the CLT must minimally be:

• Singaporean or Singapore Permanent Resident (SPR).
• Able to commit to completing the full training program.
• Able to meet the hiring requirements of the companies.

Conditions of Applications for IMDA-CLT Program

• While an applicant may meet the eligibility criteria, all applicants are subjected to the company's review for suitability with its hiring requirements, and may not be automatically shortlisted for interview.
• Only shortlisted applicants will be notified by the company directly.
• Companies may hire eligible applicants on a first-come-first-serve basis before any closing date.
• Companies may close their applications when all the jobs offered by the participating companies have been filled.
• Companies' hiring decision is final and are not obliged to offer explanation or appeals on their hiring decision.

About Our Company

We are a technology-led consulting company, with a dedicated focus on Automation and Analytics. We provide a holistic approach for our customers' automation and analytics journey through our extensive business process experience, deep technical expertise on technology platforms and strong focus on our customers' internal capability development and organizational change enablement.

We are at the forefront of automation and analytics space, having achieved many firsts in the Asia Pacific region. We have recently been included in the Forrester's Now Tech: Robotic Process Automation Services report. We are proud to have a diverse and dynamic team, with a strong collaborative and mentoring culture, focused on delivering our best and making a difference in this world.

Please read our Data Protection Notice:

At SimplifyNext, we offer a unique and exceptional career experience to inspire and empower talents like you to make an impact that matters for our clients, people and community. Our employees go deeper to solve our clients' biggest challenges and make a positive, lasting impact on their businesses.

As a member of our technology consulting practice, you'll work alongside some of the leading consultants in the industry. You'll collaborate with your team member on challenging projects, increasing your understanding of complex business problems and how you can solve them through technology. You would develop new skills and experience to help you further your career.

We are looking for people with the relentless energy to push themselves further, to learn and to contribute, thus, creating value for our clients, for our business and for the society at large.

Work you'll do

Robotic Process Automation (RPA) provides a basis for taking on a lot of mundane, repetitive tasks and freeing up time for the employees to focus on more meaningful work, which leads to better productivity, greater innovation and stronger business results. However, it is not enough to continue looking only at the automation of tasks. Businesses are looking to add intelligence to automation technology, where it can start to think like people think and analyze the way people analyze.

As an Analyst with SimplifyNext, you would focus on the next generation of automation and reshape the future of work at the confluence of RPA, artificial intelligence and analytics. You would work on the leading RPA platforms, integrate them with AI solutions for computer vision and natural language processing, and use analytics to gain insights on both the processes and robots themselves. You would work on automation and analytics projects for leading organizations across different industry verticals such as Government, Defense, Education, Healthcare, Real Estate, Banking & Finance, Transport & Logistics, Engineering, Manufacturing and Technology.

You would work on one or more technology domains such as RPA, Analytics, Cognitive Automation, Process Mining, Low Code Apps and Cloud. You would develop and enhance your technical skills and get certified in leading technologies such as UiPath, Automation Anywhere, Blue Prism, Microsoft Power Platform, Tableau, Azure/AWS Cloud and ML Services, Dataiku, Python, etc.

You would also gain experience in setting up Centre of Excellence, building internal capability and driving organizational change for leading organizations. You would contribute to the functional and technical design, plus the coding and testing of software applications to meet business requirements. You would also apply functional knowledge and technical expertise in the implementation of configuration changes and maintenance of software applications. At your projects, you would work on the functional and technical automation design, building software robots, training ML models, building visualizations, etc.

You'll be part of a team delivering end-to-end technology consulting and implementation projects on the above-mentioned areas. Your responsibilities would include:

• Contribute to all phases of SimplifyNext's projects (Plan, Analyze, Design, Build and Test).
• Interact & communicate with various Process Subject Matter Experts (SME) of the businesses to understand and analyze business problems and pain points to better define requirements required for the solution design.
• Gather and define technical, operational and user requirements, assisting with the conceptual of architecture and technical solutions design that are efficient, resilient, scalable, secure and reusable.
• Develop, configure and implement automation solutions or programs, scripts and objects on various platforms that are efficient, well structured, maintainable and easy to understand in accordance with SimplifyNext's best practices and code standards.
• Identify or support the creation of all appropriate use cases/process scenarios and their expected outcomes that will be used during the delivery lifecycle for the process.
• Conduct user accepting testing and rollout phases with Process SMEs from the businesses and ensuring that solution has fulfilled the requirements.
• Provide support to the businesses in the post-implementation phase and support existing automations and implement change requirements.

Qualifications

• Min Diploma - preferably in Computer Engineering
• Excellent communications and inter-personal skills, and passion to deliver quality work
• Ability to analyse, design, develop, implement and maintain application code.
• Strong logical approach and problem-solving skills
• Quick learner that is passionate about technology
• Candidates without prior experience are welcome to apply

About Our Company

We are a technology-led consulting company, with a dedicated focus on Automation and Analytics. We provide a holistic approach for our customers' automation and analytics journey through our extensive business process experience, deep technical expertise on technology platforms and strong focus on our customers' internal capability development and organizational change enablement.

We are at the forefront of automation and analytics space, having achieved many firsts in the Asia Pacific region. We have recently been included in the Forrester's Now Tech: Robotic Process Automation Services report. We are proud to have a diverse and dynamic team, with a strong collaborative and mentoring culture, focused on delivering our best and making a difference in this world.

Please read our Data Protection Notice: