ASC - AI

ASC - Downstream Data Scientist

Java Python Software Engineer

System Programming Analyst

Data Consultant

Senior Data Engineer

Technical Artist

Business System Analyst I - Central Finance

test engineer

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.&nbsp;</li><li>Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation</li><li>Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions</li></ul> Requirements: <ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.</li></ul>

Responsibilities: <ul><li>Formulates and leads guided, multifaceted analytic studies against large volumes of data.</li><li>Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.</li><li>Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.</li><li>Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.</li><li>Leads all data experiments tasked by the Data Science Team.</li><li>Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.</li><li>Develops methodology and processes for prioritization and scheduling of projects.</li><li>Analyzes problems and determines root causes.</li><li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li><li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li></ul> Requirements: <ul><li>Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields</li><li>5-7 years of professional experience</li><li>Proficient with one or more programming languages (Java, C++, Python, R, etc.)</li><li>Demonstrated experience applying data science methods to real-world data problems</li><li>Experience utilizing visualization tools to take advantage of the growing volume of available information</li></ul> Data Scientist Qualifications / Skills: <ul><li>Advanced analytical knowledge of data</li><li>Conducting big data analysis</li><li>Data conditioning</li><li>Programming advanced computing</li><li>Developing algorithms</li><li>Developing software and data models</li><li>Executing predictive analytics</li></ul>

<ul><li>The opportunity to work on a variety of different technology platforms - ranging from well established players like Oracle through to emerging leaders like Featurespace, Netguardians, Quantexa etc.</li><li>The opportunity to get trained and formally certified in a number of these technology platforms, which provides for sought after specialist skills, experiences and certifications which drive candidates value in the market</li><li>The opportunity to work on the latest technologies including machine learning/AI, OCR, robotic process automation, sophisticated business process management / workflow tools, data models etc.</li><li>The opportunity to work on a variety of programming frameworks and languages (not just Java and Python)</li><li>The opportunity to get experience in Regtech, which is a large and growing market (expected to be 16bn USD annual spend by 2025</li><li>The opportunity to work on regional and international clients and occasionally to travel and work in regional / international locations</li></ul>

Responsibilities: <ul><li>Serves as a subject matter expert for administration, maintenance, customization, and support of workforce automation tools to increase organizational efficiency.</li><li>Utilizes basic templates and tools for activities and duties of low risk, minimal impact, low complexity, and scope.</li><li>Designing and developing software systems, applications, and utilities that meet specific business or operational needs.</li><li>Conducting thorough testing of software applications and systems to identify bugs, performance issues, and ensure functionality meets requirements. Debugging and resolving issues as they arise</li></ul> Requirements: <ul><li>Bachelors degree or International equivalent in Computer Science or related discipline - Preferred</li><li>Prior Knowledge of Windows Operating System</li><li>Proficient in Microsoft Office Word, PowerPoint, and Excel</li><li>Excellent verbal and written communication skills</li></ul>

Responsibilities: <ul><li>Lead Data and Analytics team that supports customers big data platform</li><li>Partnership with customer’s technology team to create data products</li><li>Provide BAU support to suite of Data platform and data products</li><li>Ensure zero audit issues, closely monitor compliance and governance for applications managed by the team.</li><li>Ensure production stability and incident resolution as per the agreed turnaround time and SLA</li><li>Proactively identify compliance, process improvements/automation and work with customer to improve them</li></ul> Requirements: <ul><li>3 to 5 years of experience in Data Visualization using Tableau. Experienced in QlikSense/Power BI</li><li>Experience with enterprise data lakes, datastore applications (Snowflake, Redshift, Postgres)</li><li>Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)</li><li>Proficiency in one of the programming languages preferably PySpark or Python</li><li>Strong understanding in investment operational systems and analytics/business intelligence tools for creating data products and analytical offerings to the firm.</li></ul>

Responsibilities: <ul><li>Data engineers need to write code to develop, maintain, and optimize data pipelines, as well as to implement data storage solutions and data processing systems.&nbsp;</li><li>They typically use programming languages such as Python, Java, or Scala, along with big data technologies like Hadoop, Spark, and Kafka</li><li>Designing scalable data architecture that supports both transactional and analytical workloads. This involves understanding business requirements and translating them into technical solutions.</li><li>Developing robust data pipelines to ingest, cleanse, transform, and aggregate data from various sources (internal and external). This includes both batch and real-time/streaming data processing.</li><li>Integrating data from disparate sources and ensuring data consistency, integrity, and reliability across different systems.</li></ul> Requirements: <ul><li>5-8 years experience with GCP, Big Query, Data Fusion, Analytics Hub and DataFlow</li><li>Experience leading others</li><li>Experience managing projects</li><li>Excellent written and verbal communication skills</li><li>Time Management</li><li>Ability to work alone and with a team</li><li>Ability to mentor junior members</li><li>A Bachelor’s degree in MIS or mathematics, statistics, or computer science, international equivalent, or equivalent job experience</li></ul>

Responsibilities: <ul><li>Lead Data and Analytics team that supports customers big data platform.</li><li>Partnership with customer’s technology team to create data products.</li><li>Provide BAU support to suite of Data platform and data products.</li><li>Ensure zero audit issues, closely monitor compliance and governance for applications managed by the team.</li><li>Ensure production stability and incident resolution as per the agreed turnaround time and SLA.</li><li>Proactively identify compliance, process improvements/automation and work with customer to improve them.</li></ul> Requirements: <ul><li>3 to 5 years of experience in Data Visualization using Tableau. Experienced in QlikSense/Power BI.</li><li>Experience with enterprise data lakes, datastore applications (Snowflake, Redshift, Postgres).</li><li>Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)</li><li>Proficiency in one of the programming languages preferably PySpark or Python.</li><li>Strong understanding in investment operational systems and analytics/business intelligence tools for creating data products and analytical offerings to the firm.</li><li class="ql-align-justify">Prior experience in leading multiple smaller teams to deliver data products, provide BAU support to data platforms and supporting customer with audit, compliance matters.</li></ul>

Responsibilities: <ul><li>Provide support and create tools and workflows for working with game engines and project pipelines</li><li>Stay on top of the latest and greatest tools and techniques for producing current/next gen game art.</li><li>Provide hands-on support to Artists and Project Managers to maintain Artist efficiency, asset performance, and asset quality.</li><li>Collaborate with Artists and Project Managers to diagnose and resolve challenging technical issues .</li><li>Maintaining, improving, and documenting new or existing tools .</li></ul> Requirements: <ul><li>5 years working experience as a technical artist (or industry equivalent) programming/scripting tool.</li><li>Minimum 1 year experience in a digital art content creation pipeline, ideally, but not necessarily in the video game industry.</li><li>A strong ability to think creatively and overcome technical challenges.</li></ul> Experiences using in the following software, tools are preferred: <ul><li>Unreal/Unity</li><li>Maya/Blender/3D Max</li><li>Substance Designer</li><li>General Automation</li><li>Shaders (Setup or authoring)</li><li>Perforce</li><li>Python (or C, C++, C#, etc)</li><li>English communication skills are preferred but not required .</li><li>An interest in video games.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.</li><li>Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation.</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up to date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation.</li><li>Lead the delivery and execution of key digital initiatives.</li><li>Participate in solutions development through projects and programs, collaborating with business and technology groups.</li><li>Maintain, support and optimize digital solutions.</li></ul> Requirements: <ul><li>As the successful candidate you will hold a bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program.</li><li>Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems.</li><li>Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. </li><li>UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions.</li><li>Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

Roles and Responsibilities <ul><li>Collaborate with product managers, UX and system designers to analyze new needs and requirements.</li><li>Design, implement, and optimize test automation infrastructure for mobile applications and backend services.</li><li>Develop and execute test strategies, test plans, and test cases.</li><li>Troubleshoot defects and manage bugs during the software development cycle.</li><li>Implement testing tools and collaborate with the Digital Quality Assurance team to improve productivity.</li><li>Perform manual tests, exploratory tests, and load tests.</li></ul>Qualifications:<ul><li>3+ years of software test engineering experience in mobile app and/or backend service applications.</li><li>2+ years of experience in testing systems including functional and non-functional testing.</li><li>Knowledge of Java, Python, Objective-C, or related programming languages.</li><li>Experience with defect management tools such as ClearQuest, JIRA, etc.</li><li>Strong knowledge of mobile app testing on iOS and Android.</li><li>Knowledge of UX automation principles in mobile applications.</li><li>Experience with web service testing tools such as Paw, Postman, or SOAP-UI.</li><li>Passion for technology and making a difference in the lives of customers.</li></ul>In return, we offer a supportive and flexible working environment, medical and hospitalization coverage, dental and optical benefits, and discounts on Electrolux products and services. We are committed to your professional growth and development with unlimited career opportunities.Find out more about Electrolux APAC &amp; MEA: <a href="https://www.linkedin.com/company/electrolux/life/apacmea/" target="_new">https://www.linkedin.com/company/electrolux/life/apacmea/</a>

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66 python programming Jobs found

ASC - AI

ASC - Downstream Data Scientist

Java Python Software Engineer

System Programming Analyst

Data Consultant

Senior Data Engineer

Data Consultant

Technical Artist

Business System Analyst I - Central Finance

test engineer

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66 python programming Jobs found

ASC - AI

ASC - Downstream Data Scientist

Java Python Software Engineer

System Programming Analyst

Data Consultant

Senior Data Engineer

Data Consultant

Technical Artist

Business System Analyst I - Central Finance

test engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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