Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

About NTT Data Singapore

We are a top 6 global IT services company with operations in 50+ countries. We offer an advanced portfolio of application, business process, cloud, and infrastructure services to businesses and governments worldwide.

NTT DATA Singapore PTE Ltd is a wholly-owned subsidiary of NTT DATA Corp, a part of NTT Group, the world’s 65th Largest Company according to Fortune Magazine. The Singapore entity of NTT DATA is an S10 government-registered supplier and forms the core of NTT DATA’s APAC operations and is positioned as a gateway of our global capabilities in Singapore and the APAC region.

At NTT DATA SINGAPORE, we pride ourselves on being an inclusive and equal opportunity employer that puts our people and clients first. We welcome different ideas, backgrounds and passionate individuals to join us in our inclusive environment to achieve stronger and better results through teamwork, foresight, and innovation. We pledge to create a harmonious and nurturing culture, where all individuals feel a sense of pride and belonging, regardless of age, gender identity, race, sexual orientation, physical or mental ability, ethnicity.

Responsibilities:

The Solution Architect is responsible for creating the most appropriate architecture for a software development project, and maintaining control over the architecture throughout the entire project lifecycle. Define design and programming guidelines, and establish the design of the system, taking into considerations integration of various components, identification and mitigation of known technical risk, architectural principles, technology standards and best practices. The activities also include support in pre-sale activities as solution architect and consultant, and to propose and review technical solutions, and propose resources (including manpower) needed to meet the requirements of client and ensure successful delivery.

• Lead the evaluation and selection of software products and partners to put together a complete solution that meets the end client requirements.
• Advocate of Cloud Native Technology & DevSecOps.
• Design and lead the implementation of application architecture (including cloud native applications) and design of solutions across a group of business applications and technologies based on project (including, but not limited to POC and POV projects)/RFP requirements.
• Understand IaaS/PaaS concept and able to do IaaS/PaaS Architecture.
• Prepare proposal document detailing the overall solution and architecture and estimate resources needed to fulfil the project delivery.
• Engage customers to explain the rationale of architecture’s selection, or other technical issues.
• Lead architecture team to develop the common application framework, or repeatable functions for reusability.
• Look out for latest technologies and match up with use case and solve business problems efficiently.
• Work with other architects, leads, team members in an agile scrum environment.
• Provide consultancy services to the project team on technical problems faced

Requirements:

• Degree in Information Technology or related discipline.
• At least 5 years’ experience in preparing IT solution proposals, and proven experience in designing highly secured and scalable applications.
• Strong understanding of cloud application patterns & designs desired.
• Experience in running public cloud application in Azure, Google Cloud Platform or AWS desired.
• Possess experience in VMware CI/CD, DevSecOps, setting up and managing Build and release pipelines.
• Practical experience in any of the following areas: coding skills Node.JS, PHP or C#, DevOps tools like GitHub, Jenkins or others preferred.
• Good verbal, written communication and presentation skills with ability to interact professionally with a diverse group of stakeholders from developers to senior executives.
• Previous experience as Development Lead and/or implementation in at least two IT solution development disciplines.
• Good understanding of strategic and new emerging technology trends, and the practical application of these technologies to new and evolving business and operating models.

Soft Skills

• Team Player.
• Self-starter and highly motivated.
• Excellent Communication Skills.
• Ability to handle high pressure and fast paced situations.
• Excellent presentation skills.
• Ability to work with globally distributed teams.

Only shortlisted applicants will be contacted.

The Data Lead serves as the primary authority, both in business and technical aspects, responsible for overseeing the comprehensive handling and utilization of data. This encompasses managing the architecture, governance, collection, analysis, and strategic leveraging of data to enhance business value.

Responsibilities

• Assume leadership of the data teams by uniting the data engineering, audience, and data governance teams.
• Advance our data strategy and advocate for the application of data in decision-making to achieve crucial business outcomes.
• Contribute to the formulation and enforcement of guidelines governing the collection, storage, management, documentation, quality, and protection of data.
• Supervise the development and upkeep of the company's data lake, utilizing existing data assets to generate business insights, visualize information, and address challenges.
• Recognize opportunities to enhance data through supplementation or fusion with data from partnerships or other external sources.
• Take a proactive stance in assisting business heads in identifying new revenue opportunities through more effective and creative use of data.
• Propel experimental data modeling designs within the business and conduct A/B tests to assess changes in the business's products and services.
• Monitor business performance against data analysis models, tracking trends in key business Key Performance Indicators (KPIs), and providing valuable insights to relevant departments for overall business performance improvement.

Skills and Qualifications

• Over a decade of professional experience with a minimum of 5 years in a senior management position.
• Demonstrated success in managing data and big data, providing leadership, and overseeing data teams and projects. Additional experience in constructing data lakes and implementing end-to-end data science models is a desirable asset.
• Solid foundation in business, mathematics, or data science and analytics is essential.
• Proficiency in BI best practices and methodologies, encompassing expertise in reporting tools, querying tools, data analytics methodologies, and data visualization.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

We are seeking a skilled SAP MM Consultant to join our team for a specific project focused on data migration plans. The individual will collaborate closely with business teams and digital teams to support all migration activities, ensuring the smooth transition of MM/PM related master and transactional data from SAP ECC to S/4HANA.

Role and Responsibilities:

• Identify and extract MM/PM related master/transactional data from SAP ECC.
• Perform technical reconciliation of extracted data.
• Indicate and exclude master data from S/4HANA migration.
• Identify ECC reports for extracting transaction and open item data.
• Provide additional mapping values for new master data (delta).
• Update mapping table in automated mapping solution.
• Cross-check and identify master data for preservation.
• Remove remaining master data marked for exclusion.
• Map values to S/4HANA format during transformation.
• Populate and format data into S/4HANA upload template.
• Perform technical data comparison between pre & post-loaded data.
• Monitor, measure, control, and report on data migration progress.
• Participate in daily stand-up meetings within the digital team.
• Collaborate with stakeholders to align data migration with project goals.
• Report into the Program for the delivery of agreed data-related activities.

Preferred Skills:

• Experience in MM/PM data migration with knowledge of functional and non-functional migration methodologies.
• Knowledgeable in Procurement, Inventory Management, and Plant Maintenance Order processes with integration expertise in FICO and PM/MM.
• Hands-on experience with SAP S/4HANA MM/PM preferred.

This role requires a candidate with strong analytical skills, attention to detail, and effective communication abilities. The successful candidate should have a deep understanding of SAP MM/PM processes and methodologies, ensuring the successful execution of data migration plans.

Zuhlke is at an incredible time of growth. Having seen over 50 years of success in Europe, Zuhlke has brought its top-of-the-line offerings across continents to its Singapore, Hong Kong, and Vietnam offices. Taking the next step in its expansion, the Zuhlke Group announced the opening of a new site in Edinburgh, bringing its network up to 17 offices across 10 countries.

As a Data Consultant in Zuhlke Data & AI Practice in Asia, you will bridge the gap between business and technology, grounded in reality. Ultimately, you play a large part in the success of our Asia office. Your job is to help guide customers often disconnected streams of thought into a cohesive understanding of what their most important goals are, how data and AI can help them achieve this and map it onto a technology stack to support data driven decision making. You will be a trusted advisor for business decision makers embarking on their data journey.

This is a multi-faceted, exciting role where you’ll have a very real impact in establishing our Asia team as a big success story within the Zuhlke Group. This is a fantastic opportunity to accelerate your career with the large amount of responsibility and personal development we will provide.

This is a Singapore-based role and occasional travel may be required.

Your job.

• Working in a consulting capacity, you will develop new business models and processes for and together with customers to pave the way for data-driven developments. You accompany them from the idea to the customised tailored solution through to operation/further development.
• You view AI technologies as tools to enable fact-based decisions, optimize processes or develop new products and services. With this mindset, you recognize the potential of our customers businesses to generate real value with these tools
• In AI projects and programmes, you implement Zuhlke's holistic approach by considering all relevant levels and disciplines such as data platforms, data governance, algorithms and use cases and by moderating the collaboration of relevant experts. This ensures the success of the project and the generation of business value
• You enjoy communicating with decision-makers at our customers - and you like positioning our AI offering and thus actively developing our AI business
• You are active both internally and externally as an ambassador for our discipline AI and further develop our offerings and our expertise. You will position yourself as a thought leader for your special field in AI and help to develop young talent.

Your talent.

• You have at least 10 years of experience and at least 5 years working in IT Services/Consulting.
• You possess the relevant consulting background and are familiar with workshop facilitation, innovation methods and the basics of business models.
• You bring experience across various projects in the areas of Data, Machine Learning and/or Artificial Intelligence.
• You have strong experience in being client-facing. Your experience also demonstrates a track record for strong sales and pre-sales experience as well as overseeing client engagements/projects
• You have significant experience influencing C-Suite decision makers
• You have a strong understanding of the local market and landscape and are great at balancing professionalism with warmth and genuineness
• You enjoy keeping up with the latest technology trends .
• Excellent command of English is a must.

And Zuhlke.

At Zuhlke Asia you get the best of both worlds. You can leverage on the benefits of working in a stable, large, highly reputable company with a long history of success while enjoying the freedom and autonomy of working in a fast-growing start-up environment. Zuhlke offers you networked innovation power and the security of a long-running, international success story. We support your personal development with specialised workshops and active knowledge sharing among experts.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Talent Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Stable Basic Salary + Attractive Incentives

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

In this capacity, you will assume responsibility for implementing the Data Governance Framework across all business sectors. Reporting to the Head of Data Governance and collaborate closely with senior executives in the organization to fulfill requirements outlined in the Enterprise Data Governance program. The goal is to institutionalize the target operating model for data quality management within the business.

Key Responsibilities:

• Execute the data quality target operating model, including the deployment of the data quality technology solution.
• Formulate and uphold data quality rules, complete with thresholds, to align with the demands of business processes relying on core data.
• Institute and oversee data quality metrics, demonstrating advancements in the quality of core data assets over time.
• Establish a systematic approach to managing data quality issues, overseeing and tracking these issues through their lifecycle, including root cause analysis, solution design, and remediation, with a focus on addressing issues at their source.
• Review incidents related to data to ensure alignment with data quality rules.
• Guarantee adherence to data principles in any data-related project and collaborate with project teams.
• Conduct training sessions on data quality management, educating and fostering awareness of data quality principles and processes.

Requirements:

• Proficient in SQL and reporting techniques, with expertise in data analytics tools, including R and/or Python.
• Possess hands-on experience with BigData technologies such as Spark, ProtoBuf, and DBT.
• Familiarity with AWS and proficiency in tools like AirFlow, Kafka, Docker, and Kubernetes.
• Strong communication skills, coupled with a track record of being a team-builder, results-oriented, proactive, and self-driven.
• Demonstrates creative and strategic thinking, innovative problem-solving skills, and exceptional organizational abilities.
• Capable of managing multiple tasks concurrently, prioritizing effectively, meeting tight deadlines, and maintaining composure in times of uncertainty and stress.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

As the consumers' needs for local services increase, the local services business at TikTok is expanding quickly to address the opportunity and challenge.The Data Science team of TikTok-Data-Data Science-Local Services team plays a key role in business growth with our professional techniques, valuable insights, and problem solving skills. We are looking for talents who are passionate about Local Services to join us to make something new.

About the Role

The primary role of a Data Scientist for our Data team is to conduct deep analysis of user/merchant behavior, product features ,content ecosystem and platform strategies to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as PM/Ops/RD/MLE to identify key issues of user experience and business performance.

Responsibilities

1. Lead and execute the TikTok Local Services Data Analysis project, providing insights to support business decisions;

2. Based on an in-depth understanding of user traffic, merchants, creators, platforms, and ecosystems, define scientific metrics to accurately reflect the business situation, and through exploratory data analysis to quickly discover potential improvement opportunities in different business and technical directions.

3. Work closely with cross-functional teams to design and implement scientifically reasonable A/B experiments or observational studies, provide suggestions for scientific decision-making and closed-loop iteration, and drive the landing and continuous optimization of data analysis conclusions.

4. Actively think about the business, proactively discover the pain points of the business, find opportunities for improvement of operational efficiency, provide specific and actionable optimization suggestions, and drive the actual improvement of the business.

Qualifications

1. Bachelor's degree or above, with a background in local services, e-commerce, short videos, etc. preferred. Background in statistics, computer science, economics, data science, quantitative analysis, etc. preferred.

2. Proficient in SQL, with practical experience in using R, Python, or other programming languages.

3. Sensitive to data, able to quickly find the relationship between data and business, and use data for business modelling and quantitative reasoning.

4. Excellent communication skills and cross-functional team collaboration ability;

5. Due to the early stage of business, you will grow with the business together and get a sense of achievement.

Preferred Qualification:

Minimum 3 years relevant work experience from a large-scale internet business.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organizations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 1000+ employees across 18 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Responsibilities

With the support of a Junior Data Consultant, you will have the opportunity to carry out various projects independently and in collaboration with Artefact’s teams of experts: Strategy, Activation, Analytics, Data, Creation.

At the agency or at the client’s premises, the consultant is a true project manager. The diversity of your missions will allow you to be as close as possible to customer issues, to acquire a real knowledge of data and to quickly develop your skills.

Your missions will include:

• define the needs of its customers by conducting interviews with customer teams and multiple technology partners,
• to help build, formulate and present strategic data recommendations for the client,
• to organize and conduct workshops and training to ensure the success of its projects,
• to develop and present data recommendations to clients,
• to imagine and present new support proposals to convince our future customers,
• to participate in training courses to acquire the technical knowledge necessary for its mission as an advisor and to keep abreast of the latest technological innovations on the market,
• and finally to participate in the writing of content on transversal subjects (e.g. publication of research works, writing articles or business cases).

Requirements

• Graduated from a business school (desired), the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.
• A first knowledge of digital marketing (within a start-up, agency, etc.) or consulting (Strategy, Management, IS), will obviously be valued.

PRODUCT AREA

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

JOB DESCRIPTION

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

ADDITIONAL JOB DESCRIPTION

In this role, you will exercise domain expertise and drive engagements with both internal and external audiences. You will stay up-to-date on technology in analytics space, and make things happen through influence, passion and willingness to harness customer business opportunities, and deliver complex data analytics solutions.

Qualifications

JOB RESPONSIBILITIES

• Partner with the Data Analytics Specialists Leaders (i.e., Sales and Customer Engineering), Product Leaders and Executive Leadership to ensure solutions alignment with engineering, product priorities, and Go-To-Market (GTM) priorities.
• Work with Customer Engineering Leadership to develop and motivate a team of engineers spanning across APAC specialists in the areas of focus and assist in the delivery of published materials aligned to the specific specialist focus area, supporting Google Cloud solutions and use cases.
• Reflect the APAC customers, partners and field to influence a data-driven goal and direction for technology, solutions and use case development at Google Cloud.
• Travel up to 30% of the time as needed.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 6 years of experience in a customer-facing role in the enterprise space, translating customer business needs into cloud centric solutions in the field of data analytics and big data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (e.g., ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.

PREFERRED QUALIFICATIONS

• Understanding of Data Analytics and the business issues in adopting Data Analytics solutions.
• Ability to collaborate across organizational boundaries, build relationships, and import and export talent and ideas to achieve a broader organizational goal.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Excellent presentation skills, with the ability to deliver a professional business and technical pitch to the C-level and Board levels.

Responsiblities

• Managing day to day bank relationships and utilization and placing transactions with our suite of financing banks.
• Further liaising with the same bank throughout the life of the entire transaction to ensure all concerns and issues are promptly addressed.
• Preparing and/or 2nd checking all necessary trade documents such as bank cover letter, bank drafts, commercial invoice etc to ensure all documents presented is acceptable to banks and counterparties.
• Prepare, pre-check export LC and documents against contract and ILC to ensure compliant presentation.
• Advise necessary amendments/revisions to ensure workability of all trade finance instruments.
• Follow up on export / collection bills discrepancies, acceptance payment and any disputes.
• Liaison with banks for rates on L/C confirmations and discounting
• Understanding of UCP600, URC, ISBP and Incoterms.
• Monitoring of daily cash inflows and outflows to ensure prompt receipts from customers and timely payments to suppliers.
• Make sure each business transaction is properly documented and recorded.
• Undertake additional functions and duties when required.

Qualification:

• Fresh graduates are welcome to apply.
• Preferably Min Diploma holder with one years of experience in commodities trade finance within a trading house or bank.

Requirements:

• Singaporean or PR
• Adapt in Microsoft Excel and Words.
• Able to work independently, quick learner and team player.
• Able to commit to objectives in time line set.

How To Apply:

• Submit your application by email to [email protected] detail copy of your updated resume in pdf.

Data Science & AI Director

Location: West

Working Hours: Monday - Thursday (8.30AM - 6.00PM), Friday (8.30AM - 5.30PM)

This incumbent is responsible to lead in the research & development, strategy, architecting, planning and delivery of data science capabilities (e.g. Artificial Intelligence Engineering, Data Engineering, Cognitive Computing and Decision Science), to transform and support the organisation’s overall sense making capabilities.

Responsibilities:

(1) Support the organisation’s transformation into a data-driven organisation by charting the strategic directions to design, develop and deliver Data and Analytics capabilities that includes:

• Transform the team to deliver next-generation data and analytics capabilities that support rapid on-boarding of data sources, high-scalable architecture that empower both employees and data scientist to self-serve to a suite of data products, ranging from data-self-serve to analytics-as-a-service.
• Develop organic Data Engineers for improved data management, to ingest data, design and architect data pipelines, data architectures for different data consumer groups.
• Develop organic Data team to exploit all data to harness new insights and support better sense making capabilities.
• Develop roadmaps to deliver cutting-edge sense making capabilities that harness all data types such as high velocity, structured, unstructured, images, videos, geo-location, signal, etc.
• Drive data analytics and AI/ML models for big data analytics, and advance dashboarding for data and insights visualisation, including GIS and LLM/GenAI technology.
• Guide new data-driven approaches for the purpose of generating operational insights that address operational challenges in a proactive manner.
• Collaborations with partners and stakeholders to research in advance AI/ML model to solve complex and/or wicked problem statements beyond Data Science, when no readily available solution can be found in the market.
• Proliferate and upskill Data Science competencies within organisation, including supporting relevant training to upskill data analysis/data science proficiency levels.

(2) Ensure timely delivery and implementation of the enterprise data and sense making projects that include data architectures (ingestion, storage, acquisition, validation), data exchanges, big data analytics platforms, user data and analytics systems.

(3) Lead strategic discussions with senior management and key stakeholders to ensure successful delivery of projects and capabilities.

(4) Act as the organisation’s Chief Data Officer and drive the following initiatives:

• Work with governance units to ensure data security governance complies with the prevailing policies and addresses all matters relating to data governance and solutions required to ensure secured, timely and efficient delivery of data to the respective stakeholders.
• Drive the management, use and sharing of data in a secure manner, and plug any gaps to comply with organisation guidelines.
• Define the organisation’s data strategy, goals, polices and management of organisation’s data assets, and coordinate returns for organisation’s indices.
• Raise the staff’s awareness on data policies, procedures and promote culture of data privacy and security.
• Drive data analytics adoption within the organisation and promote data-driven business decisions.

(5) Work with users to identify appropriate Data Science solutions to better users’ current outcomes, bring new or additional value to their operations, and/or create new/transformative capabilities for the users, such as:

• Lead users and diverse stakeholders to understand and identify users’ challenges and co-define problem statements where Data Science solutions can mitigate these challenges.
• Work with users and multi-disciplinary technical/specialist teams to scope and formulate problem statements and identify the appropriate Data Science solutions to achieve the best outcomes to these problems.
• Manage the proper resourcing of projects with the right people with the right competencies and expertise; influence and negotiate with stakeholders to secure the required resources.
• Degree in Engineering/Computer Science/Information Technology or relevant disciplines.
• Relevant working experience in IT environment including a minimum of 8 years in a leadership position managing data analytics and/or Data/AI product development team.

We are looking for careful and meticulous individuals to do live data testing on the forex markets.

This is a work-from-home position. Full training will be provided.

No prior experience required, although familiarity in TradingView will be an advantage.

PLEASE NOTE: This full-time engagement is on a freelance, contract basis. Pay will be based on an hourly rate.

Job Requirements:

• Careful and meticulous
• Able to work independently
• Disciplined, adhere to start time punctually
• 8 hours of work per day
• Able to follow detailed instructions accurately
• Familiar with Google Docs and Sheets
• Good at maintaining detailed records

Benefits:

• Fully work from home (after completing initial training phase)
• No requirement to travel to office
• Monday to Friday only
• No overtime or weekend work required
• Bonus will be awarded for excellent work performance shown over a sustained period of time

Interested candidate, please attach your resumes.

Thank you.

Roles & Responsibilities

A) Periodic walk through; Validation of equipment status, amber lights check.

B) Decommissioned of hardware inventories end of life and SME directions.

C) Manual inspection of rack space under direction of SME.

D) Verify Rack location in the DC, Potential server deployment rebooting of equipment and power cycle under direction of SME.

E) Restart Hardware after failure under direction of SME.

F) Perform Schedule Start up and shutdown hardware components.

G) Connect cables from Rack to Server under direction of SME.

H) Configure the RIB/ILO even after reboot.

I) Perform Network troubleshooting.

J) Perform RAID- Related Maintenance\ troubleshooting after a drive replacement under direction of SME.

K) Transport failed disk drives to a secure storage area pending eradication and return to vendor.

L) Escort- SSBT Approved vendor in Data Centre.

M) CMDB- Validation of Assets tagging for Servers/ Serial number for the Assets Competency.

N) SH&E Engineer physically power cycle the server by using power button of the server, under the direction of SME.

O) SH&E engineer responsible for Installation and decommissioning of Servers from Rack, Rail and Cage under direction of SME.

P) SH&E engineer accountable for Inform, Responsible and coordinate with other team members under direction of SME.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Career Advisor who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Uncapped, Attractive Sales Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn

• Strong support from management to invest in data
• Help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the company
Our Client is an established company within the financial services industry. With rapid expansion and technology investment plan, they are now looking for an Senior Data Engineer / Data Engineering to join their team. Your work will help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the job

Your role involves:

• Enhancing data integrity and establishing protocols for identifying anomalies within datasets
• Delving into data sets to uncover insights, pinpointing features and discrepancies, and effectively communicating findings to stakeholders.
• Establishing and refining monitoring practices, frameworks, tools, and libraries, and advocating for their adoption across different teams within the organization.
• Streamlining operations through automation, driving enhancements to our systems by advocating for changes that bolster resilience and dependability.
• Develop and maintain ETL processes for ingesting data from various sources
• Stay updated on emerging trends and technologies in data engineering and recommend improvements to existing systems

Skills and experience required

As a successful applicant, you will be familiar with programming languages such as Python, Java, or Scala. Proficiency in utilizing diverse data storage and manipulation tools, including SQL, Elasticsearch or Snowflake. Familiarity with containerization and orchestration technologies like Docker, Kubernetes and etc. Exposure to ETL is required for this role.

Candidates from financial services industry background will be highly preferred.

Whats on offer

This is an excellent opportunity to join an established company with high investment in data engineering. You will get the opportunity to work in a high performing team with exposure to latest technology.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn (EA: 94C3609/ R1219669)