Data Digitization and Processing Agent Job at Ethics HR (New Cairo)

Analyst, Data Engineering, Digital & Artificial Intelligence Department

At Bombardier, we design, build and maintain the world’s peak-performing aircraf...

Location

Canada , Dorval

Salary:

Not provided

Bombardier

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field
5+ years of professional experience in machine learning and deep learning
Demonstrated experience building and deploying AI agents and agentic workflows
Hands-on experience with large language models (LLMs) and generative AI technologies
Proficiency in Python and relevant ML/DL frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
Deep understanding of LLMs and their optimization for enterprise use cases
Working knowledge of ontologies, knowledge graphs, and semantic technologies
Familiarity with cloud-based AI tools, particularly within the Microsoft Azure ecosystem
Strong analytical and problem-solving skills with attention to detail

Job Responsibility

Design and implement generative AI agents using large language models (LLMs)
Develop agentic workflows where AI agents collaborate seamlessly across business processes
Leverage state-of-the-art LLMs to create custom generative AI solutions tailored to business needs
Optimize AI agents for performance, reliability, and scalability within enterprise environments
Build and integrate ontologies and knowledge graphs into AI workflows to enhance data organization, retrieval, and reasoning
Apply semantic technologies to enable AI agents to operate within structured business contexts
Work closely with data analysts, data scientists, and application developers to integrate AI agents into end-to-end solutions
Utilize tools like Microsoft Semantic Kernel to enable seamless AI collaboration across workflows
Stay updated on advancements in generative AI, multi-agent systems, and related technologies
Explore innovative techniques and tools to improve AI agent capabilities and performance

What we offer

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Fulltime

Director of Global Commercial Sales

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. P...

Location

United States , Atlanta

Salary:

119000.00 - 164000.00 USD / Year

PagerDuty

Expiration Date

Until further notice

Requirements

5+ years of progressive sales leadership experience with direct responsibility for revenue targets and team management in a B2B SaaS environment, with demonstrated success implementing digital-first sales approaches and automation technologies.
Demonstrated success in building a high-performing, metrics-driven SDR/BDR function.
Proven track record of owning and consistently delivering against revenue numbers with experience managing forecasting processes and providing accurate weekly pipeline reporting.
Success scaling revenue through automated and digital channels.
Expert-level proficiency with Salesforce.com, sales engagement platforms, and marketing automation tools.
Hands-on experience implementing and optimizing AI-powered sales development tools, with understanding of how to balance automated engagement with human intervention for maximum effectiveness.
Proven ability to design and implement scalable processes that prioritize digital engagement and automation while maintaining high conversion rates and customer experience standards.
Strong analytical skills with the ability to interpret performance data from both agentic tools and human activities, identifying optimal intervention points and conversion opportunities.
Education: Bachelor's degree required.

Job Responsibility

Lead and scale a global team of Sales Development Representatives, Business Development Representatives and Sales Representatives focused on commercial acquisition and expansion as well as cover enterprise acquisition.
Develop and execute comprehensive strategies that prioritize agentic tools, automated sequences, and digital engagement.
Own and deliver against new business and expansion revenue forecasts with weekly accuracy and accountability.
Design and implement processes that leverage our agentic SDR tool as the primary driver of initial prospect engagement, qualification, and nurturing while ensuring human sellers step in at optimal conversion points to maximize pipeline efficiency.
Leverage advanced Salesforce capabilities and sophisticated email sequences to create seamless, automated customer journeys.
Partner with programs team to build and optimize automated email programs, chatbot interactions, and digital touchpoints which span across acquisition and expansion lifecycle moments.
Monitor tool performance (including agentic tools), analyze effectiveness metrics, and continuously refine automated prospecting, qualification, and nurturing workflows.
Establish clear protocols for when and how human reps engage in the sales process, ensuring seamless handoffs from agentic tools to human representatives.
Work collaboratively with Marketing, Sales Operations, Customer Success, and Product teams to optimize digital lead flow to attain quarterly new + expansion targets.
Establish comprehensive reporting frameworks that provide actionable insights into agentic tool performance, digital engagement metrics, and human intervention points.

What we offer

Competitive salary
Comprehensive benefits package
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent

Fulltime

New

AI & Data Strategy Manager

As our AI & Data Strategy Manager, you will help accelerate Marshall Group’s per...

Location

Sweden , Stockholm

Salary:

Not provided

sa.global

Expiration Date

Until further notice

Requirements

Experience in Strategy, Digital Transformation, digital product ownership, Data, or similar fields
Strong understanding of Generative AI, Agentic AI, and emerging productivity technologies
Proven ability to turn business challenges into AI-enabled opportunities and deliver value outcomes
Skilled in leading change, influencing stakeholders, and simplifying complex topics
Familiarity with AI and automation tools (e.g., GPT-based tools, Power Automate, Claude, CoPilot)
A passion for music and the culture that drives Marshall
Bachelor’s or Master’s degree in business, Computer Science, Engineering, Data Science, or a related field
3–5+ years of relevant experience in Strategy, Digital Transformation, AI & Data Analytics, project management or operational excellence roles
Demonstrated experience implementing AI-enabled workflow improvements or productivity tools
Understanding the landscape of data fundamentals, cloud environments, and integration basics (no development experience expected)

Job Responsibility

Develop and maintain our AI & Data strategy with a clear focus on productivity, efficiency, and smarter processes
Spot high-value AI use cases across the business, using existing tools and third-party solutions—not by building custom AI agents or models
Lead cross-functional projects to deploy AI-enabled workflows and automations that drive measurable value
Enable adoption: build training, best-practice toolkits, and support teams as they integrate AI into daily work
Communicate progress and impact to senior leaders with clarity and insight
Partner with IT and Data teams to ensure the right data foundations and platforms are in place
Manage relationships with AI vendors and stay on top of emerging technologies and governance standards

What we offer

re-location support
visa/work permit application
local authority registration
home finding service

Analyst, Data Engineering, Digital & Artificial Intelligence Department

At Bombardier, we design, build and maintain the world’s peak-performing aircraf...

Location

Canada , Dorval

Salary:

Not provided

Bombardier

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field
5+ years of professional experience in machine learning and deep learning
Demonstrated experience building and deploying AI agents and agentic workflows
Hands-on experience with large language models (LLMs) and generative AI technologies
Proficiency in Python and relevant ML/DL frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
Deep understanding of LLMs and their optimization for enterprise use cases
Working knowledge of ontologies, knowledge graphs, and semantic technologies
Familiarity with cloud-based AI tools, particularly within the Microsoft Azure ecosystem
Strong analytical and problem-solving skills with attention to detail

Job Responsibility

Design and implement generative AI agents using large language models (LLMs)
Develop agentic workflows where AI agents collaborate seamlessly across business processes
Leverage state-of-the-art LLMs to create custom generative AI solutions tailored to business needs
Optimize AI agents for performance, reliability, and scalability within enterprise environments
Build and integrate ontologies and knowledge graphs into AI workflows to enhance data organization, retrieval, and reasoning
Apply semantic technologies to enable AI agents to operate within structured business contexts
Work closely with data analysts, data scientists, and application developers to integrate AI agents into end-to-end solutions
Utilize tools like Microsoft Semantic Kernel to enable seamless AI collaboration across workflows
Stay updated on advancements in generative AI, multi-agent systems, and related technologies
Explore innovative techniques and tools to improve AI agent capabilities and performance

What we offer

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Fulltime

Senior Data Scientist – Surfaceome Biology

We are seeking a highly qualified and motivated Senior Data Scientist with a str...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 8-13 years of directly related experience
Demonstrated expertise in computational and data science method development for short- and long-read transcriptomics, polysome sequencing, proteomics, multi-omics integration, or surfaceome characterization
Strong background in machine learning and AI, including deep learning and generative modeling
experience with pre-training, fine-tuning, and few-/zero-shot learning, ideally experience with in silico modeling of cellular surface protein biology
Proven track record of applying computational methods to drive biological insights, target validation, biomarker discovery, or therapeutic hypothesis generation
Proficiency in scientific programming languages and tool development using Python, R, or similar, with familiarity in relevant libraries and frameworks
Experience with large-scale data processing using cloud computing, workflow development, and software best practices (e.g., version control, continuous integration, test-driven development)
Familiarity with agentic AI, digital innovation approaches, and FAIR data principles for building robust and scalable analytical workflows
Familiarity with molecular and disease biology, with the ability to contextualize computational findings in therapeutic discovery
Excellent analytical and communication skills, with the ability to extract and clearly present insights from complex data to diverse audiences with rigor and accuracy

Job Responsibility

Develop novel AI/ML, computational, and data science methods – including agentic AI systems – for processing, integrating, and analyzing multi-modal datasets (e.g., transcriptomics, proteomics, imaging, and single-cell multi-omics) to identify and prioritize novel and target-tissue specific cell surface antigens
Build workflows to harmonize and integrate public and internal datasets for constructing comprehensive multi-modal surfaceome atlases, and model protein expression heterogeneity across cell types, states, and spatial contexts
Design computational tools and predictive models for protein localization, topology, and internalization behavior to prioritize candidate surface proteins or antigen–ligand pairs for the discovery of multispecific antibody modalities and therapeutic payload delivery
Apply generative modeling and representation learning to propose novel antigen candidates or antigen combinations with desirable therapeutic attributes, such as accessibility, specificity, and internalization potential
Collaborate with experimental and translational teams to design and guide validation experiments, ensuring computational predictions translate into actionable biological insights

Credit Risk Automation & Enablement Manager

U.S. Bank Europe’s Credit Risk Management (CRM) team is seeking a Credit Risk Au...

Location

Ireland; Spain , Loughlinstown; Madrid

Salary:

Not provided

U.S. Bank National Association

Expiration Date

March 05, 2026

Requirements

Proven experience in Automation, Transformation, Data Strategy, or Risk Management roles within a regulated environment
Hands-on familiarity with modern data stack tools (e.g. Apache Spark, Snowflake, Python, SQL), analytics solutions (e.g., Tableau, Power BI, SAS), and AI technologies (machine learning, natural language processing, automation/agentic tools)
Understanding of data management disciplines: data quality, lineage, governance, metadata, and reporting architecture
Demonstrated experience identifying or implementing AI-enabled capabilities, such as automated document interpretation, workflow orchestration, or decision-support tools
Understanding of AI governance concepts (e.g. explainability, monitoring, fairness) to ensure responsible deployment in Credit Risk
Experience in cross-functional environments, working effectively with Technology, Data, Risk, and Business teams
Strong self-directed problem‑solving abilities, able to structure ambiguous problems and develop pragmatic transformation solutions
Excellent written and verbal communication skills, capable of translating technical concepts for non-technical stakeholders
Highly organised, self-motivated, and able to manage competing priorities and complex project demands

Job Responsibility

Establish and manage end‑to‑end process re-engineering initiatives to simplify, standardise, and automate Credit Risk activities across functions
Identify high‑value credit processes that can benefit from AI, machine learning, natural language tools, and agentic automation pipelines - and manage the end-to-end design, testing, and rollout of these solutions
Partner with Credit Risk SMEs to redesign manual or legacy workflows into digitally orchestrated, data-driven processes, reducing cycle time, error rates, and operational burden
Support the design and implementation of modern credit data pipelines using data stack technologies (e.g. Apache Spark, Snowflake, relational database optimisation)
Implement automated reconciliation solutions to validate data accuracy and ensure alignment with Finance, Regulatory Reporting, and upstream data sources
Support CRM in the transformation of Credit Risk reporting by leveraging modern data platforms, AI-enhanced analytics, and standardised data models to deliver accurate, timely, and scalable insights
Replace traditional manual reporting processes with AI-assisted data preparation and scalable pipeline-driven reporting
Work closely with other Risk teams, business lines, Technology, and Data Governance functions across the enterprise to improve data quality, lineage, and completeness across Credit Risk systems and reporting layers
Evaluate and rationalise technology stacks across U.S. and European entities to consolidate credit data sources and enhance interoperability for risk modelling, portfolio monitoring, and reporting
Support the design, implementation, and maintenance of a CRM transformation plan, ensuring alignment with business growth strategies, regulatory expectations, and broader Risk transformation priorities

What we offer

Clearly defined salary ranges aligned with industry benchmarks and internal equity standards
Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance
Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness)
Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria
Employee recognition programs that celebrate achievements and milestones for all

Fulltime

Contracting Coordinator

The role involves overseeing and managing various contracting tasks and processe...

Location

United States , Monticello

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Minimum of 1 year of experience in a similar role is required
Proficiency in data entry tasks
Experience in processing paperwork is necessary
Familiarity with filing systems and procedures
Skilled in scanning documents and maintaining digital records
Proficiency in using MS Office Suite, particularly Word, Excel, and PowerPoint
Excellent organizational skills and attention to detail
Strong communication and interpersonal skills
Ability to multitask and prioritize tasks efficiently
Demonstrated problem-solving ability

Job Responsibility

Processing and managing applications for agent contracting and other required forms in a timely and thorough manner
Conducting regular follow-ups on submitted agent contracting paperwork to uphold proper processing
Applying comprehensive insurance knowledge to best cater to agent needs
Analyzing and resolving contracting and compensation errors by designing proactive solutions and following through until the issue is resolved
Maintaining organized and accessible files, including updating information, backing up crucial files and documents, purging files regularly, and creating new filing systems as necessary
Effectively handling customer inquiries and resolving any issues that arise
Monitoring customer accounts and taking appropriate action when necessary
Utilizing strong data entry skills to process paperwork accurately and efficiently
Leveraging knowledge of MS Office and other relevant software for various tasks
Ensuring a high level of detail orientation and organization in all tasks

What we offer

Medical insurance
Vision insurance
Dental insurance
Life and disability insurance
401(k) plan

Fulltime

Senior Risk Consultant II - Liability

At Allianz Commercial (AzC), we are the global leader for insuring corporate and...

Location

United States , Remote

Salary:

110000.00 - 130000.00 USD / Year

Allianz

Expiration Date

Until further notice

Requirements

Minimum 7 years’ professional engineering or consulting experience in industrial or project development environments within Manufacturing, Automotive, or Food industries
Through education or experience have demonstrable knowledge and skills in relevant disciplines including engineering in environmental management, hydrogeology, environmental compliance, health and safety systems, waste management, chemical analysis, and occupational hygiene
Experience working in risk management and loss prevention processes in industrial operations or in project driven environments
Knowledge of Standardization Systems (ISO, API, ASME, etc) and auditing processes
Basic data analytic experience in analyzing datasets related to loss prevention in the corresponding engineering discipline
Master’s Degree in either Mechanical, Industrial, Electrical, Chemical, Materials, Manufacturing, Systems, Automation and Robotics, Quality, or Process Engineering (other engineering disciplines will be considered if they align with the rest of the requirements)
Or Bachelor’s degree or equivalent in other area will be considered in conjunction with extensive technical experience
A demonstrable engineering/technical expertise
Commitment to maintaining knowledge of developments and new technologies in field
Knowledge of the business-related liability legal environment, regulations, guidelines as they apply to the North America (USA and Canada) businesses and projects

Job Responsibility

Complete desk top reviews and risk assessments (pre & post loss) for underwriting evaluating and summarizing exposures and controls on General and Product Liability
Work with underwriting, claims, the client and the broker where appropriate to develop customized loss control programs including locations to be surveyed (or included as part of continuing service), scope and cost of risk consulting services
Generate and review required reports and recommendations
Meet reporting deadlines in accordance with departmental performance objectives
Support Allianz Commercial functions (Underwriting, Claims, Marketing, etc.) and clients by providing as required scientific and technical insights in current and emerging risks about various industries, products, and technical applications
Survey client operations obtain appropriate data, identify hazards, discuss findings with appropriate parties
Generate loss control reports, recommendations etc
Actively contribute to ARC Liability projects that support Allianz Commercial transformation and digitalization
Contribute in the development and implement all available digital tools, including AI and data analytics, to enhance risk assessments and improve efficiency

What we offer

Hybrid working model
Great compensation and benefits package
Generous bonus scheme and pension
Career development and digital learning programs
International career mobility
Support for flexible working, health, and wellbeing
Private healthcare
Generous parental leave benefits
Opportunities to be engaged in shaping a future that is safe, inclusive, and sustainable

Fulltime

Data Digitization and Processing Agent

Ethics HR

Location:
Egypt , New Cairo

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 05, 2026

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