506 Data Science jobs in Singapore

MHA - Internal Security Department (ISD)

Permanent

What you will be working on

• Develop proposals and budgets, plans cost estimates, budgets justifications and statements of works for Data Science and AI research programs
• Develop and maintain a system for tracking deadlines for research deliverables and help to keep researchers accountable
• Negotiate with external organisations to establish and maintain relationships
• Develop project/program infrastructure standard operating procedures, workflow and re-engineering processes
• Provide leadership to project / program including initiating, conducting, reporting, providing technical support and project management
• Plan, design, implement, oversee and advise on data science and AI research projects
• Maintain appropriate documents and reports
• Collaborate and consult with researchers by reviewing, evaluating and making recommendations for project / program initiatives
• Contribute to strategic planning of the project/program
• Advise investigators and administrators on appropriate methodologies and resources critical to the projects/programs
• Supervise project/program staff including identifying, hiring, training, supervising and evaluating staff

What we are looking for

• Curious, self-motivated, resourceful, meticulous and enjoys challenges
• Excellent communication skills, report writing and knowledge management
• Excellent understanding of mathematical, statistical and analytical concepts, computer science and artificial intelligence
• Ability to keep the overarching objectives of the project/program in mind while pursuing the technical details
• Passionate about research management and problem solving
• (Preferred) Some hands-on experience in data science, AI and quantitative research
• Only Singaporeans need
  We wish to inform that only shortlisted candidates will be notified.

About MHA - Internal Security Department (ISD)

The Internal Security Department (ISD) confronts and addresses threats to Singapore's internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists.
At the heart of our work are the collection of intelligence that enables us to size up the threats to Singapore's internal security, and taking the executive actions necessary to overcome those threats. Every day, we collect and analyse intelligence, make impartial assessments, and take decisive action to counter the threats to Singapore's internal security and stability, and sovereignty.

About your application process

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MHA - Internal Security Department (ISD) or the wider Public Service.

Reporting to the Head, AI Office, you will provide administrative support in the planning and budgeting for projects to the CGH Artificial Intelligence and Digital (AID) Committee, CGH Chief Data and Digital Officer (CDDO) for Artificial Intelligence and Digital projects.

Responsibilities:

• Provide administrative support in the planning and project management for AID Deployment with PI/PL, CGH stakeholders and Synapxe
• Support in secretariat role to manage AID Comm schedules, draft minutes of meetings and follow up on actionables
• Support regular progress updates for AID and RIE Comm on Deployment Projects such as issues escalation, risk reporting and co-ordinate effective resolution
• Manage AI Office portal and ensure periodic updates to AI and Digitalisation projects repository
• Organise and contribute to CGH Enterprise AI Awareness roadshows, and AI webinars

Requirements:

• Diploma holder in any discipline with interest in AI and Automation technologies
• Preferably with 1 to 3 years in IT Project Management, Informatics in the healthcare or services industry
• Those with working knowledge of Generative AI tools, AI/ML Lifecycle projects, and/or, advanced analytics deployment for Machine Learning / AI / Deep Learning, would be advantageous
• Good communications and people skills
• Good writing skills for policy and grant documentations
• Good presentation skills with awareness of Generative AI applications
• Good problem-solving skills
• A team player and able to work with multidisciplinary project teams

Responsibilities

In a world of technological disruptions, the role of our Data Science team is to develop analytics, artificial intelligence and technological solutions to enhance delivery of our client service and augment our professional service offerings.

• Conduct analyses of clients’ data to generate actionable insights
• Develop technological solutions to enhance business processes
• Upskill our people with analytics and technology knowledge
• Encourage a culture of data-mindedness within the organisation

Your profile,

As someone who is passionate in analytics and technology, you are eager to create impactful solutions to address business challenges. You like to work in a close-knit collaborative team environment where your ideas are valued. You also thrive on difficult challenges and look forward to learning and growing professionally with the team.

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Driven, inquisitive, and detail-oriented
• Excellent communication skills
• Ability to work under pressure and meet tight deadlines
• Strong desire to learn and to make an impact
• 0 to 2 years of experience

Kindly click on the "Apply Now Button" to submit your job application.

Apply now

We regret that only shortlisted candidates will be notified.

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we're driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we're shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

Summary:

Thales Avionics (AVS) in Singapore consists of manufacturing and repair activities for aircraft OEM and airlines respectively.

This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation. They oversee the end-to-end project lifecycle, from requirements gathering and data analysis to model development, deployment, and performance monitoring.

This role holds a blend of project management expertise, technical proficiency in data science and analytics, and a deep understanding of industrial operations.  He/She will be the initiator, influencer and driving the stakeholders to emulate, synchronize and connect to make Thales AVS more sustainable and competitive through innovation and collaboration to achieve industrial excellence.

Responsibilities:

• Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.
• Stakeholder Engagement: Collaborate with stakeholders to understand business needs, operational challenges, and opportunities for leveraging data science to drive value.
• Data Acquisition and Preparation: Work with data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and modeling.
• Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.
• Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems. Deploy standards defined and contribute to their improvements.
• Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.
• Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.
• Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.
• Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.
• Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.
• Business Value Delivery: Define, measure and keep track of business value deliverables link to the project ROI
• Technical Leadership: Drive the design, development, and optimization of scalable data pipelines, APIs, and data platforms to support advanced analytics, AI, and business intelligence use cases.
• Dashboard & Visualization Solutions: Lead the development of enterprise-grade dashboards using Flask (or equivalent frameworks), ensuring usability, performance, and integration with data science models.
• Data for Digital Twin & Simulation: Architect and oversee the creation of data inputs for digital twin environments, enabling predictive simulations and real-time monitoring by integrating structured/unstructured inputs (JSON, XML, APIs).
• AI & Chatbot Integration: Design and implement intelligent assistant solutions, leveraging Retrieval-Augmented Generation (RAG) and related AI techniques to enhance knowledge discovery and automation.
• Data Strategy & Standards: Define best practices for data engineering, quality assurance, monitoring, and governance, ensuring compliance with enterprise and security standards.
• Collaboration & Mentorship: Work closely with cross-functional teams (data scientists, software engineers, product owners) while mentoring junior engineers to raise the team's technical capability.

Requirements:

• Bachelor's degree in computer science, data science, industrial engineering, or a related field.
• Proven experience in project management, specifically in leading data science or analytics projects in industrial settings.
• Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus
• Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.
• Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.
• Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.
• Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.
• Familiarity with data governance, privacy, and security best practices in industrial environments.
• Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus
• Proven track record of dashboarding and visualization (e.g., PowerBI, Flask, Plotly/Dash, or integration with BI tools) for decision-making support.
• Experience with digital twin simulation and real-time data integration, including structured/unstructured formats (JSON, XML) and APIs.
• Exposure to AI-driven solutions, especially chatbot development and Retrieval-Augmented Generation (RAG).
• Excellent communication and stakeholder management skills, with the ability to present complex technical concepts to non-technical audiences.

Other Information:

• Work Location: Changi North Rise
• Working Days: Monday - Friday
• Company transport provided from designated MRT stations.

At Thales, we're committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you'll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

Central Provident Fund Board

Internship

Closing on 18 Sep 2025

What the role is

At #TeamCPF, you're not just joining a team; you are embracing a culture of excellence, collaboration, and meaningful impact. You will play a pivotal role in empowering over 4 million members to secure their retirement, healthcare, housing needs and better navigate life's uncertainties.
We thrive on sharp minds and insightful decisions. Your ability to analyse and think critically isn't just valued; it's essential. Every choice you make contributes to our collective success.
Collaboration is our way of life. We believe in the power of effective partnerships and seamless communications across teams. Together, we amplify each other's strengths and achieve remarkable results.
Our learning never stops. We encourage your inquisitiveness and courage to embrace new challenges head-on. Your agility, readiness to challenge conventions, embrace of data-driven strategies, dedication to learning and ing new skills fuels our innovation and progress.
At the core of everything we do lies a genuine desire to make a difference. We serve our community and support each other with compassion, empathy, and unwavering dedications. Every action we take is guided by a deep sense of purpose and a commitment to those we serve.
Join us at #TeamCPF Together, let's redefine possibilities and leave a legacy that echoes for generations.

What you will be working on

The Data Science Accelerator Department (DSA) drives the pervasive use of data across CPF Board to aid policy and operational decision making by providing a consolidated view of good quality data, effective governance, strong data science capabilities and modern data infrastructure and tools.
In this role, you will:

• Communicate with stakeholders to understand challenges and designing data-driven and business-centric solutions.

• Assist in data collection, preparation, processing, and exploration tasks.

• Support the development, implementation, maintenance and/or enhancement of machine learning/AI models/Gen AI solutions.

• Design end-to-end automation workflows e.g. MLOps.

• Conduct research and preparing materials on data science for training purposes, including visual narratives or infographics.

• Present findings and insights through data visualizations to technical and non-technical stakeholders.

• Participate in team meetings and contributing ideas to ongoing projects.

• Provide support for data-related activities.

What we are looking for

We value the diverse skills and perspectives that each intern brings. While you may not need to meet every requirement fully, having some familiarity or budding expertise in the following areas will help you make the most of this opportunity and succeed with our team.

• Currently pursuing a Bachelor's in Business Analytics, Artificial Intelligence, Information Technology, Computer Science, Statistics, Mathematics or related fields

• Familiar with analytics tools such as Python/R

• Good understanding of data science and machine learning concepts

• Meticulous, analytical, and resourceful

• Excellent verbal and written communication skills

• Collaborative mindset and the ability to work effectively within a team

• Willingness to adapt and learn in a fast-paced environment

• Proactive and self-motivated with a desire to take on new challenges
Position is on a full-time internship basis from Dec 2025 – May 2026.
What you can expect
Being part of #TeamCPF means embarking on a challenging and rewarding career in a progressive workplace that values productivity and growth. Here's what awaits you:

• Opportunities to engage in a mix of formal and informal training, keeping your skills sharp in our ever-evolving technological landscape.

• Promotion opportunities based on your capability and on-the-job performance.

• A vibrant community of like-minded and friendly colleagues, where collaboration and creativity thrive.

• A hybrid work model that offers flexibility for remote work, subject to exigencies of service.

• Flexible dress code that empowers you to choose your appropriate outfit for the day.

• A comprehensive rewards package that includes annual leave, pro-family leave, medical and dental benefits, and access to recreational activities.

About Central Provident Fund Board

Central Provident Fund (CPF) Board is the cornerstone of Singapore's social security system, committed to serving and empowering over 4 million members in securing their retirement, healthcare, and housing needs. As an employer, we believe in developing our people to do their life's best work through the 3Ps: Purposeful Work, Professional Growth, People & Culture.
Purposeful Work – Beyond being a pension fund, we are unique in being a national social security organisation, and we serve CPF members knowing that our work we make a difference.
Professional Growth – At CPF Board, you will have the opportunity to learn on the job, acquire new skills, and broaden your knowledge. Although you are joining one organisation, you will have access to many career paths in the years ahead.
People and Culture – When you join CPF Board, you become part of a mission-oriented organisation with a strong culture of teamwork, collaboration, and innovation. Our people are our greatest asset, and we champion a culture of respect, diversity, and inclusivity, where every voice is heard and contributions are recognised and celebrated.
We are a recipient of the Enabling Mark (Gold) by SG Enable, we welcome candidates with disabilities and are committed to providing an inclusive and supportive work environment.
Come and be a part of #TeamCPF today, to make a difference in the lives of others and in the future of Singapore. To learn more about CPF Board, visit our website at

About your application process

This job is closing on 18 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Central Provident Fund Board or the wider Public Service.

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Our Purpose – Bridging the World Through Travel

We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

Internship period: September – December 2025

Roles & Responsibilities

Get to Know our Team:

The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

In this Role, you'll get to:

• Actively participate in implementing and evaluating ML models for  Natural Language Processing and Computer Vision
• Collaborate with experienced machine learning engineers and data scientists.
• Research new technologies and share across organizations

What you'll Need to Succeed:

• Demonstrable understanding of Deep Learning concepts, frameworks, and libraries.
• Strong problem-solving skills, attention to detail, and a long-standing passion for diving into complex datasets.
• Experience in implementing machine learning algorithms, and familiarity with statistical data analysis and predictive modeling
• Passionate about data and ML and demonstrable interest in following Research/Papers from the academic community

Duration of internship:

• 4 months

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

The team is responsible for driving the firm's data, cloud, and AI strategy with a strong focus on governance, risk management, and compliance. In partnership with business and corporate functions, the team ensures that data assets are managed in line with enterprise policies, regulatory requirements, and best practices- supporting secure, ethical, and effective use of emerging technologies.

Role Description

Governance and Risk Focus:

• Bring a strong risk and control mindset, with the ability to identify, interpret, and apply governance frameworks and policies related to data, cloud, and AI.
• Play a key role in assessing and managing emerging technology risks, including the responsible use of Generative AI and ethical considerations for AI development.
• Ensure governance practices are embedded throughout the data and AI lifecycle, closing gaps in compliance and operational risk exposure.

Control Framework Automation:

• Support the automation and modernization of control frameworks using advanced analytics and AI/ML to enhance control effectiveness and efficiency.
• Embed governance and compliance checkpoints within automated pipelines to ensure robust monitoring, alerting, and auditability.

Model Governance:

• Lead the development, testing, and deployment of AI/ML models aligned with model governance standards, ensuring performance, transparency, and regulatory compliance.
• Define and implement best practices for model validation, lifecycle management, and controlled upgrades.

Collaboration & Solution Delivery:

• Work cross-functionally with data engineers, software developers, and risk professionals to integrate governance and risk requirements into data and AI initiatives.
• Deliver end-to-end AI/ML solutions that are secure, scalable, and compliant with SDLC and governance standards.

Stakeholder Engagement:

• Communicate risk and governance requirements to both technical and business stakeholders, translating complex topics into actionable insights.
• Help foster a culture of data stewardship and accountability, ensuring responsible ownership of data and AI assets across teams.

Continuous Improvement & Innovation:

• Stay current with industry trends, evolving regulations, and governance frameworks related to data and AI risk.
• Contribute to the ongoing improvement of the firm's risk and control posture through innovation and strategic input.

Skills, Experience, and Qualifications Required

• Master's degree in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a related field.
• 10+ years of experience in data and analytics, with a strong emphasis on governance, risk, and compliance.
• Proven track record in building and optimizing AI/ML models, with deep understanding of model governance and regulatory alignment.
• Experience with cloud platforms (AWS, GCP, or Azure), especially with their governance and security features.
• Proficiency in handling complex data types (structured, semi-structured, unstructured) within regulated environments.
• Demonstrated ability to assess and apply responsible AI frameworks, manage AI risks, and implement effective controls.
• Strong communication skills, with the ability to engage stakeholders on risk mitigation, governance obligations, and strategic data use.
• Solid knowledge of SDLC standards, including integration of data governance and application-level controls.

For a confidential discussion, please reach out to me at

Personal data collected will be used for recruitment purposes only.

Only shortlisted candidates will be notified / contacted.

EA Registration No: R

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: E with EA license number 16S8086.

Website:

information_technology

We are seeking a Data Science Manager to lead advanced analytics and AI initiatives that drive data-driven decision-making. This role is key in developing predictive AI models, delivering actionable insights, and ensuring data governance and quality.

Key Responsibilities

• Develop and operationalise AI/ML models for forecasting and analytics.
• Partner with IT and leadership teams to design data and AI solutions.
• Analyse large datasets to identify trends and provide strategic insights.
• Oversee data governance, ensuring integrity and compliance.
• Lead and mentor a team of data analysts, including external vendors.
• Stay ahead of industry trends and embed best practices.

Requirements

• Bachelor's in Data Science, Statistics, Computer Science, or related field (Master's preferred).
• 8+ years' experience in data science/analytics with leadership exposure.
• Strong proficiency in SQL, R, Python, Power BI, and ML frameworks.
• Experience in MLOps, ETL, and API concepts.
• Excellent communication and data storytelling skills.

Job Title: Intern, Data Science

Job Location: Inflight Catering Centre 1

SATS is Asia's leading provider of food solutions and gateway services. Using innovative food technologies and resilient supply chains, we create tasty, quality food in sustainable ways for airlines, foodservice chains, retailers and institutions. With heartfelt service and advanced technology, we connect people, businesses and communities seamlessly through our comprehensive gateway services for customers such as airlines, cruise lines, freight forwarders, postal services and eCommerce companies.

Fulfilling our purpose to feed and connect communities, SATS delights customers in over 55 locations and 14 countries across the Asia Pacific, UK, and the Middle East. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit

Job Description:

Headquartered in Singapore, SATS Ltd. (SGX stock code: S58) is one of the world's largest providers of air cargo handling services and Asia's leading airline caterer. SATS Gateway Services provides airfreight and ground handling services including passenger services, ramp and baggage handling, aviation security services, aircraft cleaning and aviation laundry. SATS Food Solutions serves airlines and institutions, and operates central kitchens with large-scale food production and distribution capabilities for a wide range of cuisines. SATS is present in the Asia-Pacific, the Americas, Europe, the Middle East and Africa, powering an interconnected world of trade, travel and taste. Following the acquisition of Worldwide Flight Services (WFS) in 2023, the combined SATS and WFS network operates over 225 stations in 27 countries. These cover trade routes responsible for more than 50% of global air cargo volume. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit

At SATS, people are our greatest asset and we build our success on the knowledge, expertise and performance of every contributor, by embracing diversity and uniqueness. As part of our holistic approach and commitment to embracing FAM (Fulfilling, Appreciated, Meaningful) in the workplace, we offer the runway to develop Fulfilling careers that foster your career growth, recognising and Appreciating the strength of talent and capabilities that we continue to build internally; and inspiring and encouraging each other to make Meaningful contributions in the work we do at SATS.

• Undergraduate in Information Systems, Business / Data Analytics, Information Technology or Computer Science

• Understanding of and experience using data visualisation concepts, techniques and tools, such as Microsoft Power BI

• Experience in developing data solutions based on established patterns and best practices for database integration with Power Platform stack (Power BI, Power Apps, Power Automate, Power Query)

• Working knowledge of data mining principles: mapping, collecting data from multiple data systems on premises and cloud-based data sources

• In-depth understanding of and experience in designing structured and unstructured, SQL and NoSQL data repositories

• Experience working with, creating and maintaining databases and repositories using state-of-the-art data backup, rollback and version control solutions

• Proficient with data processing methods and technologies / tools. Azure Cloud proficiency will be an advantage

• Highly motivated, structured and methodical with high degree of initiative

• Strong problem solving, quantitative and analytical abilities

• Excellent written and oral communication skills.

• Able to work independently or cross functionally

• Able to commit full-time (5 days a week) for minimum of 6 months

• Undergraduate in Information Systems, Business / Data Analytics, Information Technology or Computer Science

• Understanding of and experience using data visualisation concepts, techniques and tools, such as Microsoft Power BI

• Experience in developing data solutions based on established patterns and best practices for database integration with Power Platform stack (Power BI, Power Apps, Power Automate, Power Query)

• Working knowledge of data mining principles: mapping, collecting data from multiple data systems on premises and cloud-based data sources

• In-depth understanding of and experience in designing structured and unstructured, SQL and NoSQL data repositories

• Experience working with, creating and maintaining databases and repositories using state-of-the-art data backup, rollback and version control solutions

• Proficient with data processing methods and technologies / tools. Azure Cloud proficiency will be an advantage

• Highly motivated, structured and methodical with high degree of initiative

• Strong problem solving, quantitative and analytical abilities

• Excellent written and oral communication skills.

• Able to work independently or cross functionally

• Able to commit full-time (5 days a week) for minimum of 6 months