Data Modeler

AI Lead

Product Specialist

Decoupling Architect

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Data Scientist- AI Architect

Senior Product Manager

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: <ul><li>Experience &amp; knowledge with Digital commerce, Hyper personalization, connected experience and able to articulate new systems around the theme.</li><li>Able to understand the downstream business process which stitches the technology and platforms for a new age Airline solution</li><li>Completely understands concept of Cloud Native, on ground journey to cloud success deliveries carried out, Scaled Enterprise Integrations done for larger transformation and consolidation systems for multiple organizations</li><li>Experience in orchestrating the solution shape up of large-scale processing and business services projects</li><li>Create business arch models that reflect client strategies and goals to cover the entire digital transformation journeys in IT landscape</li><li>Find ways in which to improve client IT departments functions to support client future goals mainly for all the digital platform landscape covering, Interactive, Mobility, Integrations Cloud systems</li><li>Deliver Technical Specifications end to end.</li><li>Design custom development solution that meet customer requirements</li><li>Progress through full development lifecycle for custom solution</li><li>Strong collaboration with team software engineer consultants onshore &amp; offshore</li><li>Deploy new solutions to production environments</li><li>Innovate on new ideas to solve customer needs &amp; assist to market internally new solutions</li><li>Provide project estimates and timelines to drive new business</li></ul> Requirements: <ul><li>Experience &amp; knowledge with Azure Cloud platforms. Strong Cloud Native knowledge</li><li>Good understanding of Amadeus reservation, ticketing, payment and loyalty solutions</li><li>Able to explore Amadeus core capabilities and enhance via orchestration with 3rd party partner services</li><li>Good experience in working with Payment aggregators</li><li>Experience &amp; knowledge with Web Analytics or Digital Marketing, Deep Understanding is must</li><li>Experience &amp; knowledge with FED frameworks like Angular, Native mobile mainly from Design aspects</li><li>Experience &amp; knowledge with Digital Integration / API Middleware platforms. Strong in Integration Architecture concepts</li><li>Experience &amp; knowledge with GenAI, ML/AI. Good to have knowledge</li><li>Experience &amp; knowledge with Customer Data Platform (CDP). Any tool knowledge</li><li>Experience as an enterprise technical or engineer consultant</li></ul>

Job Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Role Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Responsibilities:Provides expert and objective advice to executive management to support decision-making in respect of all aspects of transactions. Is a core member of multi-functional transaction execution teams, providing end-to-end finance support to transactions.Screens and evaluates commercial options and evaluates transaction counterparties and joint venture partners.Is responsible for the valuation aspects of transactions, ensuring that financial models and outputs are prepared according to standards, that risks are considered, and that input assumptions are robust and documented, and that deficiencies and risks are considered.Prepares bid price recommendations for senior management reflecting competitive landscape.Manages the financial due diligence process (coordinating the activities of advisors as required), ensuring that due diligence findings are communicated to executive management and factored into valuation and/or definitive agreements.Advises on the accounting aspects of transactions.Contributes to definitive transaction agreements and is responsible for purchase price adjustments and post-transaction purchase price allocation.Is a member of the integration planning team, advising on finance aspects of integration.Coordinates the inputs of other finance experts to transactions.Develops, coaches and mentors team members on transactions.Contributes to the continuous improvement of processes and methodologies to become a center of excellence of M&A execution for the Company.Provides ad hoc financial analysis activities including on transfer pricing, impairment reviews, government incentives, and group policy reviews.Manages external Financial Advisors and consultants on transactions. Develops relationships in banks to bring external perspectives on the M&A landscape to the Company.Requirements:10+ years relevant experience in conducting financial analysis in M&A transactions, likely gained in leading investment banks, accounting firms, or large international corporations.Significant experience in large and complex cross-border transactions with a strong preference for experience in energy, natural resources, or infrastructure sectors.Expert level knowledge and use of financial analysis tools and methodologies, understanding of financial statements, familiarity with International Financial Reporting Standards (IFRS) and international taxation.You will hold a Bachelor’s degree in Finance, Accounting, Business, Management, or Engineering.Possession of an advanced business degree (e.g. MBA) or Accounting qualification is preferred, but not required.

Responsibilities:Data Ingestion and Extraction:Develop and optimize data ingestion pipelines to efficiently extract data from various sources e.g. databases, APIs, files etc.Ensure data quality and integrity through robust validation and cleansing processesData Transformation and Processing:Design and implement data transformation logic using Python and PySpark to convert raw data into a suitable format for analysisOptimise data processing pipelines for performance and scalabilityData Storage and Management:Select and implement appropriate data storage solutions (cloud-based data warehouses, data lakes, etc.) based on data volume and complexityDevelop strategies for data retention, backup, and recoveryETL/ELT Development:Build and maintain efficient ETL/ELT processes to move data between different systems and platformsOptimize ETL/ELT pipelines for performance and cost-effectivenessCloud Infrastructure:Leverage cloud-based data engineering services (AWS, GCP, Azure) to build scalable and cost-efficient data solutionsManage and maintain cloud-based data infrastructureData Modeling and Optimization:Design and implement data models to support business intelligence and analyticsOptimize data structures and indexes for query performanceCollaboration and Communication:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insightsEffectively communicate complex technical concepts to both technical and non-technical audiencesData Governance and Security:Implement data governance policies and procedures to ensure data quality, security, and complianceProtect sensitive data through appropriate security measuresRequirements:At least a bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices, with at least 4 years of experience in data engineering and architecturePrevious work experiences in using major cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes)Proficient in Python and PysparkProficient in SQL and database designKnowledge and understanding of data warehousing, data lakes and big data technologiesKnowledge of data modeling and ETL/ELT processesKnowledge of PostgreSQL and OracleStrong problem-solving and analytical skillsAble to work independently and as part of a teamLead and manage the development team including assigning tasks and monitoring progressPreferred Requirements:Experience in using data visualization tools e.g. Tableau, PowerBI

Responsibilities: As part of the Data Science organization at our client, the Generative AI team is working on digital transformation.We are developing enterprise solutions for Commercial, Technology and Operations functions. As an AI Engineer you will lead the design, development and adoption of new technology and analytics, help contribute to our AI strategy, and partner with leaders across the company.The role will involve collaborating with cross-functional teams to ensure the successful creation and roll-out of AI driven solutions.Role Type : Individual Contributor As AI Engineers you will perform work including: Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support AI applicationsPerform statistical analysis and data manipulation using language models.Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.Architect and design innovative AI solutions tailored to business requirements.Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.Communicate complex technical concepts and results to non-technical audiences effectively.Contribute to the development of AI strategies and governance for the organization.Stay current with advancements in AI and machine learning technologies and apply them to solve business challenges.Lead efforts to improve enterprise adoption and proficiency in the use of AI tools Requirements:10+ years of experience in data science, AI, or a related field preferred.Proficiency in software development and statistical analysis.Experience with Large Language Models and their applications.Strong communication skills and the ability to present technical results to business stakeholders.Experience with solution architecting and design preferred.Hands-on experience with cloud platforms such as Azure and/or AWS.Proficiency in programming languages such as Python, R, or similar.Strong problem-solving skills and the ability to work independently as well as part of a team.Bachelor's in Computer Science, Mathematics, Statistics, or a similar field. Master's or Ph.D. preferred.Preferred Qualifications: Experience with large language models and supporting workflows.History of project leadership and development.Familiarity with Agile development.Experience in applications related to sales, marketing, and market research a plus. 

Responsibilities:Define and Build the next generation of AI-driven experiences at our client working across our data platform teams and operating as a key driver of our AI product strategyDrive product and platform vision and create capabilities that add value to both merchants and consumers. Identify new unmet opportunities and gaps in the portfolio by analyzing the market and ecosystem.Collaborating cross-functionally in defining the personalization opportunities across the consumer journey, and define best in class personalization experiences for our client consumers globally.Evangelize, Communicate, and Influence, by driving alignment on vision, roadmap, investment needs, risks, and opportunities with large cross-functional teams, and leaders, including C-level executives.Develop experiments playbook so our models and teams are constantly learning and developing and evangelizing a strong point of view on how to improve KPIs.Execute with excellence in a cross-functional setting, building strong relationships with key stakeholders (data engineers, software engineers, product analytics, merchant tech and other business teams).Run lean experiments to learn and develop a strong point of view on how to improve KPIsDefine and develop closely with Data Science and Platform leadership the core data products needed to power personalized experiences.Define and measure key AI Platform performance indicators to evaluate and understand product value, performance and compute costs.Identifying new opportunities based on research, industry trends, and best practices, driving innovation and platform improvements.Deliver results. Own business outcomes and be responsible for hitting experience and revenue targets.Requirements:2+ years of experience in AI Product Development4+ years of experience in Product Management, with demonstrated success in launching and scaling multiple 0-1 products.Technical and business acumen with Identity, Data Normalization, Data usage limitation, and AI-driven personalization product background are critical along with demonstrated experience in defining and driving transformation initiatives.Experience inspiring and mobilizing all levels of the organization with your product vision, data-centric thinking, and customer/developer passion.Being comfortable in navigating ambiguity and establishing an iterative roadmap and experimentation culture.Defining the product and customer experience with high-quality business requirements and user stories while managing the scope of each product release and refining the technology architecture and scalability for the use case.Helping the teams move forward swiftly with rigor, speed, and transparency in decision-making.Removing roadblocks, setting a consolidated vision, and collaborating with excellence across all functions is critical.MBA or Masters in STEM fields.Highly skilled problem-solving and technical skills. Demonstrate a tech-savvy approach and love to stay on top of industry trends.Excellent and effective interpersonal and communication skills (written, verbal, and listening).Self-starter who doesn’t hesitate to proactively approach learning fastSkilled at working with cross-functional groups and matrix organizations in multiple geographies to manage multiple projects simultaneouslyExperience in areas like e-commerce, checkout, payments, and/or risk domain - a plus.

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64 linear models Jobs found

Data Modeler

AI Lead

Product Specialist

Decoupling Architect

Tech Lead Power BI

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Data Scientist- AI Architect

Senior Product Manager

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64 linear models Jobs found

Data Modeler

AI Lead

Product Specialist

Decoupling Architect

Tech Lead Power BI

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Data Scientist- AI Architect

Senior Product Manager

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

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COMPANY

Contact Us

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