Senior Associate Data Science - German speaking.
Job details
In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clients' business growth ultimately.
Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth.
Your Impact Core areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data
Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments
You'll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them
You'll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on
You'll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviour
You'll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businesses
You'll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.)
You'll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal) Qualifications
Set Yourself Apart With Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP etc.
Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation etc.)
Experience in production environments for Machine Learning products incl., knowledge of the tools that a needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes)
Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI)
Knowledge of software engineering principles & deployment methods (preferably in cloud environments)
Industry experience in the Automotive, Healthcare, Logistics, Financial Services or Energy & Commodities sector
Fluent in German (verbal and written, business environment, complex concepts) and English Additional Information
Benefits of working here: We work with cutting-edge technology, which has always been part of our DNA and we want our employees to define what technologies our clients use next
We provide many learning opportunities to deepen your skillset and support your professional growth
We offer numerous discounts on travel, cultural and leisure activities.
We put the well-being of our people first and organize various health initiatives
We offer you a vibrant workplace culture with many different community events throughout the year
As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.
Company Description
Publicis Sapient is a digital transformation partner helping established organizations get digitally enabled, both in the way they work and how they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity.
As digital pioneers with 20,000 people and 53 offices worldwide, our experience spanning technology, data sciences, consulting, and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com .
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Your Impact <p></p> Core areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments You'll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them You'll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on You'll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviour You'll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businesses You'll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.) You'll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal)<p></p> Qualifications Set Yourself Apart With <p></p> Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP etc. Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation etc.) Experience in production environments for Machine Learning products incl., knowledge of the tools that a needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes) Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI) Knowledge of software engineering principles & deployment methods (preferably in cloud environments) Industry experience in the Automotive, Healthcare, Logistics, Financial Services or Energy & Commodities sector Fluent in German (verbal and written, business environment, complex concepts) and English <p></p> Additional Information Benefits of working here: <p></p> We work with cutting-edge technology, which has always been part of our DNA and we want our employees to define what technologies our clients use next We provide many learning opportunities to deepen your skillset and support your professional growth We offer numerous discounts on travel, cultural and leisure activities. 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This course has been specifically designed to provide you with a deep understanding of the International Financial Reporting Standard 15 (IFRS 15) and its implications for revenue recognition across various industries.<br /> <br /> In today's dynamic business landscape, accurate and transparent revenue recognition is of utmost importance for financial reporting and decision-making. IFRS 15 is a globally recognised accounting standard that sets out principles for recognising revenue from contracts with customers. This course will guide you through the key concepts, principles, and requirements of IFRS 15, enabling you to confidently navigate the complexities of revenue recognition while ensuring compliance with this standard.<br /> <br /> Furthermore, this course will delve into the specific challenges and considerations associated with revenue recognition in different industries. You will gain insights into industry-specific examples, case studies, and practical scenarios to enhance your understanding of how IFRS 15 applies across sectors such as manufacturing, services, construction, telecommunications, software, and more.<br /> <br /> By the end of this course, you will have developed a comprehensive understanding of IFRS 15 and its impact on revenue recognition across diverse industries. You will be equipped with the knowledge and skills to accurately apply the principles of IFRS 15 in financial reporting, ensuring compliance and transparency in revenue recognition practices.<br /> <br /> Whether you are an accounting professional, finance manager, auditor, or business owner, this course will provide you with the essential knowledge and practical insights to navigate the complexities of IFRS 15 and make informed decisions regarding revenue recognition in your industry.<br /> <br /> Enrol now and embark on a journey to master IFRS 15 and redefine your understanding of revenue recognition for all industries.<br /> <br /> <strong>What you will learn</strong> <ul> <li>Understanding IFRS 15: Students will develop a comprehensive understanding of the principles, concepts, and requirements outlined in IFRS 15. They will become familiar with the purpose and scope of the standard, the five-step revenue recognition model, and its significance in financial reporting.</li> <li>Contract Identification: Students will learn how to identify contracts with customers in line with IFRS 15. They will understand the criteria for determining contract existence, assess contract modifications, and ascertain the enforceable rights and obligations of both parties.</li> <li>Determining Transaction Price: Students will explore the process of determining the transaction price under IFRS 15. They will learn to evaluate variable considerations, such as discounts, rebates, and incentives, and understand how to allocate the transaction price to different performance obligations.</li> <li>Performance Obligations and Satisfaction: Students will gain insights into the concept of performance obligations and how to identify them within a contract. They will learn the criteria for recognising revenue when performance obligations are satisfied, both over time and at a specific point in time.</li> <li>Contract Modifications and Variable Considerations: Students will understand how to account for contract modifications and address changes in transaction prices. They will explore the treatment of variable considerations and learn how to estimate and adjust revenue accordingly.</li> <li>Industry-Specific Considerations: Students will delve into the application of IFRS 15 across various industries. They will examine industry-specific examples, case studies, and practical scenarios to understand how revenue recognition principles are implemented in sectors such as manufacturing, services, construction, telecommunications, software, and more.</li> <li>Compliance and Financial Reporting: Students will learn how to ensure compliance with IFRS 15 in financial reporting. They will gain knowledge of the disclosure requirements, presentation of revenue information, and the impact of revenue recognition on financial statements.</li> </ul> <strong>Is this course for you?</strong> <ul> <li>Accountants and Financial Professionals: This course is relevant for accountants, financial analysts, controllers, and other finance professionals involved in revenue recognition and financial reporting. It provides them with the knowledge and skills to accurately apply the principles of IFRS 15 in their work.</li> <li>Auditors: Auditors responsible for assessing the compliance of financial statements with accounting standards will find this course valuable. It equips them with a deep understanding of IFRS 15, enabling them to effectively evaluate revenue recognition practices and identify any potential issues or discrepancies.</li> <li>Business Owners and Managers: For business owners and managers, understanding the principles of revenue recognition is crucial for making informed decisions and assessing the financial performance of their organisations. This course provides them with the necessary knowledge to interpret revenue recognition practices and evaluate the impact on financial statements.</li> <li>Financial Consultants and Advisors: Financial consultants and advisors working with clients from various industries will benefit from this course. It equips them with industry-specific knowledge and insights into revenue recognition under IFRS 15, enabling them to provide valuable guidance and recommendations.</li> <li>Students and Researchers: Students pursuing degrees or qualifications in accounting, finance, or related fields can gain a strong foundation in revenue recognition principles through this course. Researchers interested in studying revenue recognition practices and their implications will also find this course informative and useful.</li> </ul> <strong>Why Choose this course?</strong> <ul> <li>Conducted by industry experts</li> <li>Get Instant E-certificate</li> <li>Fully online, interactive course with Professional voice-over</li> </ul> ', 'outline' => null, 'who_should_take_this_course' => null, 'career_path' => 'Account Manager,Financial Analyst,Account Executive', 'eligibility' => 'No previous experiance of IFRS 15 - Revenue Recognition standard is required for this course.<br /> ', 'school' => 'Course Drive', 'keywords' => 'IFRS,Accounting,Finance,Certified International Financial Accountant', 'location' => 'Online', 'duration' => 'Upto 2 Hours', 'timing' => null, 'cost' => null, 'discount' => '85% Off for Laimoon Users!', 'eligibility_criteria' => null, 'job_matching_keywords' => null, 'boosted' => '0', 'lang_code' => 'en', 'status' => 'active', 'auto_translated' => '0', 'objectives' => null, 'photo' => null, 'photo_cta' => null, 'video' => null ), 'Profile' => array() ) ) $job = array( 'Job' => array( 'id' => '43451335', 'contact_id' => '3773199', 'recruiter_id' => '74726', 'job_function_id' => null, 'title' => 'Senior Associate Data Science - German speaking.', 'vacancies' => null, 'job_type_id' => null, 'description' => null, 'pay_status' => 'Free', 'external_job_description' => 'In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clients' business growth ultimately. Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth. Your Impact <p></p> Core areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments You'll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them You'll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on You'll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviour You'll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businesses You'll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.) You'll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal)<p></p> Qualifications Set Yourself Apart With <p></p> Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP etc. Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation etc.) Experience in production environments for Machine Learning products incl., knowledge of the tools that a needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes) Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI) Knowledge of software engineering principles & deployment methods (preferably in cloud environments) Industry experience in the Automotive, Healthcare, Logistics, Financial Services or Energy & Commodities sector Fluent in German (verbal and written, business environment, complex concepts) and English <p></p> Additional Information Benefits of working here: <p></p> We work with cutting-edge technology, which has always been part of our DNA and we want our employees to define what technologies our clients use next We provide many learning opportunities to deepen your skillset and support your professional growth We offer numerous discounts on travel, cultural and leisure activities. We put the well-being of our people first and organize various health initiatives We offer you a vibrant workplace culture with many different community events throughout the year As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. Company Description Publicis Sapient is a digital transformation partner helping established organizations get digitally enabled, both in the way they work and how they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices worldwide, our experience spanning technology, data sciences, consulting, and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. 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Hiring company
Publicis sapient
-
Financial Modelling for Intermediate Global CoursesAED 56
AED 514Duration: 3 Hours -
IFRS 15 - Revenue Recognition standard Course DriveAED 89
AED 588Duration: Upto 2 Hours
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