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data scientists

TaskUs

<div>
 
 
 Job Description
 
 
 
 
 
 
 About TaskUs:
 
 
 TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
 
 
 The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.
 
 
 It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world.
 
 
 
 
 What We Offer:
 
 
 At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
 
 
 
 
 Job Description Summary
 
 
 
 
 Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models.
 
 
 
 
 Job Description
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI/ML Development &amp; Research
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
 </li>
 <li>
 Implement and optimize Large Language Models (LLMs) and Generative AI solutions
 </li>
 <li>
 Build agentic AI systems with autonomous decision-making capabilities
 </li>
 <li>
 Conduct research on emerging AI technologies and their practical applications
 </li>
 <li>
 Perform model evaluation, validation, and continuous improvement
 
 
 </li>
 </ul>
 
 
 Cloud Infrastructure &amp; Full-Stack Development
 
 
 
 
 <ul>
 <li>
 Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
 </li>
 <li>
 Develop full-stack applications integrating AI models with modern web technologies
 </li>
 <li>
 Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
 </li>
 <li>
 Implement CI/CD pipelines for ML model deployment and monitoring
 </li>
 <li>
 Design and optimize cloud infrastructure for high-performance computing workloads
 
 
 </li>
 </ul>
 
 
 Data Engineering &amp; Database Management
 
 
 
 
 <ul>
 <li>
 Design and implement data pipelines for large-scale data processing
 </li>
 <li>
 Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
 </li>
 <li>
 Optimize database performance for ML workloads and real-time applications
 </li>
 <li>
 Implement data governance and quality assurance frameworks
 </li>
 <li>
 Handle streaming data processing and real-time analytics
 
 
 </li>
 </ul>
 
 
 Leadership &amp; Collaboration
 
 
 
 
 <ul>
 <li>
 Mentor junior data scientists and guide technical decision-making
 </li>
 <li>
 Collaborate with cross-functional teams including product, engineering, and business stakeholders
 </li>
 <li>
 Present findings and recommendations to technical and non-technical audiences
 </li>
 <li>
 Lead proof-of-concept projects and innovation initiatives
 
 
 </li>
 </ul>
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
 </li>
 <li>
 5+ years of hands-on experience in data science and machine learning
 </li>
 <li>
 3+ years of experience with deep learning frameworks and neural networks
 </li>
 <li>
 2+ years of experience with cloud platforms and full-stack development
 
 
 </li>
 </ul>
 
 
 Technical Skills - Core AI/ML
 
 
 
 
 <ul>
 <li>
 Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
 </li>
 <li>
 Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
 </li>
 <li>
 Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
 </li>
 <li>
 Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
 </li>
 <li>
 Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
 
 
 </li>
 </ul>
 
 
 Technical Skills - Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
 </li>
 <li>
 Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
 </li>
 <li>
 Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
 </li>
 <li>
 Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
 </li>
 <li>
 MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
 </li>
 <li>
 Big Data: Spark, Hadoop, Kafka, streaming data processing
 
 
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
 </li>
 <li>
 Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
 </li>
 <li>
 Experience with model compression and edge deployment
 </li>
 <li>
 Familiarity with distributed computing and parallel processing
 </li>
 <li>
 Experience with computer vision and NLP applications
 </li>
 <li>
 Knowledge of federated learning and privacy-preserving ML
 </li>
 <li>
 Experience with quantum machine learning
 </li>
 <li>
 Expertise in MLOps and production ML system design
 
 
 </li>
 </ul>
 
 
 Key Competencies
 
 
 
 
 
 
 Technical Excellence
 
 
 
 
 <ul>
 <li>
 Strong mathematical foundation in statistics, linear algebra, and optimization
 </li>
 <li>
 Ability to implement algorithms from research papers
 </li>
 <li>
 Experience with model interpretability and explainable AI
 </li>
 <li>
 Knowledge of ethical AI and bias detection/mitigation
 
 
 </li>
 </ul>
 
 
 Problem-Solving &amp; Innovation
 
 
 
 
 <ul>
 <li>
 Strong analytical and critical thinking skills
 </li>
 <li>
 Ability to translate business requirements into technical solutions
 </li>
 <li>
 Creative approach to solving complex, ambiguous problems
 </li>
 <li>
 Experience with rapid prototyping and experimentation
 
 
 </li>
 </ul>
 
 Communication &amp; Leadership
 
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Ability to explain complex technical concepts to diverse audiences
 </li>
 <li>
 Strong project management and organizational skills
 </li>
 <li>
 Experience mentoring and leading technical teams
 
 
 </li>
 </ul>
 
 
 How We Partner To Protect You:
 
 
 TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.
 
 
 
 
 DEI:
 
 
 In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.
 
 
 We invite you to explore all TaskUs career opportunities and apply through the provided URL
 
 https://www.taskus.com/careers/ .
 
 
 
 TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community.
 
 
 Req Id: R_2507_10295_2
 
 
 Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
</div>

Data Scientists

Capgemini Engineering

<div>
 
 
 Data Scientist / Analyst &ndash; Digital Twin of Ships
 
 
 
 
 Location:
 
 Chennai, India
 
 
 
 Work Mode:
 
 Hybrid (3 days/week from office)
 
 
 
 Experience Required:
 
 12&ndash;17 years
 
 
 
 Qualifications:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in engineering
 
 
 
 
 
 Choosing this opportunity means joining a team at the forefront of maritime innovation, where data science meets sustainability. You&rsquo;ll be empowered to shape digital twin solutions for ships, supported by a collaborative engineering and product ecosystem, and inspired to drive impactful change in fleet health and environmental performance.
 
 
 
 
 
 
 Your Role
 
 
 
 
 
 
 We are seeking a data-driven and analytical
 
 Data Scientist / Analyst
 
 to join our
 
 Digital Twin of Ships
 
 team. This role is ideal for someone with strong modeling and analytical skills, capable of interpreting complex vessel behavior, assessing fleet health, and supporting sustainability initiatives through data. You will work closely with engineering and product teams to derive actionable insights from large-scale maritime datasets.
 
 
 
 
 
 
 In this role, you will:
 
 
 
 
 
 <ul>
 <li>
 Model vessel behavior using historical and real-time data to support predictive analytics.
 </li>
 <li>
 Analyze fleet health metrics to identify patterns, anomalies, and maintenance needs.
 </li>
 <li>
 Develop and track sustainability metrics aligned with organizational goals.
 </li>
 <li>
 Apply machine learning techniques for predictive maintenance and anomaly detection.
 </li>
 <li>
 Collaborate with engineering and product teams to integrate insights into digital twin features.
 </li>
 <li>
 Use AWS services such as SageMaker and Athena for scalable data processing and analysis.
 </li>
 <li>
 Communicate findings through dashboards, reports, and presentations to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Engineering.
 </li>
 <li>
 12&ndash;17 years of experience in data science or analytics roles, with 10&ndash;12 years in engineering-focused domains.
 </li>
 <li>
 Proven experience in
 
 Digital Twin technologies,
 
 preferably in maritime or industrial sectors.
 </li>
 <li>
 Proficiency in programming and data analysis tools:
 
 Python, R, SQL.
 
 </li>
 <li>
 Experience with machine learning techniques including
 
 predictive maintenance and anomaly detection.
 
 </li>
 <li>
 Hands-on experience with AWS services:
 
 SageMaker, Athena.
 
 </li>
 <li>
 Familiarity with
 
 sustainability metrics modeling
 
 and environmental data analysis.
 </li>
 <li>
 Strong problem-solving and communication skills.
 </li>
 <li>
 Ability to work collaboratively in agile teams and present insights to technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Love About Working Here
 
 
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative digital twin solutions in a high-impact maritime domain.
 </li>
 <li>
 Collaborative and forward-thinking work culture.
 </li>
 <li>
 Hybrid work model with flexibility.
 </li>
 <li>
 Career growth and leadership opportunities in data science.
 </li>
 </ul>
 
 
 
 
 
 About Us
 
 
 
 
 
 
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
</div>

Data Scientist / Analyst – Digital Twin of Ships

Ideas2IT Technologies

<div>
 
 Job Role
 
 
 
 As a Lead Data Scientist, you&rsquo;ll drive data-driven innovation, transforming complex datasets into actionable insights that guide strategic decisions. Collaborating with cross-functional teams, you&rsquo;ll develop predictive models, analyze trends, and deploy scalable solutions that maximize impact. This role combines technical expertise with leadership, offering opportunities to shape data strategies, mentor junior scientists, and influence high-impact projects across the organization.
 
 
 &zwj;
 
 Why Choose Ideas2IT:
 
 &zwj;
 
 
 Ideas2IT has all the good attributes of a product startup and a services company. Since we launch our products, you will have ample opportunities to learn and contribute. However, single-product companies stagnate in the technologies they use. In our multiple product initiatives and customer-facing projects, you will have the opportunity to work on various technologies.
 
 
 AGI is going to change the world. Big companies like Microsoft are betting heavily on this (see here and here). We are following suit.
 
 
 One of our GenAI initiatives is LegacyLeap, which converts legacy applications to modern technologies. This is a complex AI problem, and you will have an opportunity to work on it. The market response to the LegacyLeap platform has been tremendous.
 
 
 
 What&rsquo;s in it for you?
 
 
 
 <ul>
 <li>
 Experience in identifying enterprise-level challenges and transforming them into impactful product ideas. A knack for turning abstract concepts into structured strategies that align with market needs.
 </li>
 <li>
 A sharp analytical mindset that can evaluate market trends, customer insights, and competitor analysis to ensure a spot-on product-market fit.
 </li>
 <li>
 Skilled at building actionable roadmaps that are informed by real customer needs, market demand, and strategic objectives. An ability to guide product development from ideation to execution.
 </li>
 <li>
 Proven ability to engage with stakeholders, extract meaningful insights, and align diverse teams on shared goals, ensuring a seamless journey from product concept to launch.
 </li>
 <li>
 A team-oriented approach with a history of fostering innovation through close collaboration with engineering, marketing, sales, and design teams, always with a focus on the customer.
 
 
 </li>
 </ul>
 
 Here&rsquo;s What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Join a dynamic environment that values creativity and strategic thinking, where you can truly shape the future of products and solve real-world challenges.
 </li>
 <li>
 Leverage a wealth of market data and industry insights to sharpen your strategic skills and stay ahead of the competition.
 </li>
 <li>
 Opportunities for continuous learning and advancement as you work on cutting-edge products with a talented, cross-functional team.
 </li>
 <li>
 Play a key role in guiding product direction, collaborating with key decision-makers, and influencing the development of solutions that make a difference in the industry.
 </li>
 </ul>
</div>

Lead Data Scientist

Capgemini

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Job Description
 
 
 
 
 Job Description:
 
 
 
 Good knowledge in Java 1.8,
 
 
 Reactive Technology is must: Spring 5/ Spring Boot
 
 
 Experience in Microservices Architecture (REST services) is mandatory
 
 
 Knowledge in any of the database Oracle/ No SQL/ Maria DB / My SQL
 
 
 Understanding of design patterns
 
 
 Exposure to tools - Bit bucket, GIT, Maven, Jira, Intellij, Eclise
 
 
 Familiarity with Agile methods and Continuous Integration including but not limited to Program and Release Backlog Management (Jira), Defect Tracking (Jira), Collaboration (Confluence, Jive, others)
 
 
 Code Review tools (Sonar, Findbugs)
 
 
 Experience in Swagger classes
 
 
 Experience in Authorization and Authentication modules
 
 
 Experience in JPA and Spring Security
 
 
 Experience in RabbitMQ
 
 
 
 Job Description - Grade Specific
 
 
 
 Focus on Industrial Operations Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

BackEnd developer

American Express

<div>
 
 
 At American Express, our culture is built on a 175-year history of innovation, shared
 
 
 values
 
 
 and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
 
 
 
 
 Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
 
 
 
 
 
 How will you make an impact in this role?
 
 
 
 
 
 
 Responsibilities:
 
 
 &nbsp;
 
 
 
 <ul>
 <li>
 
 Develop and implement applications using Java and/or Python and leading industry tools and frameworks.
 
 
 </li>
 <li>
 
 Stay abreast of industry best practices and emerging trends in Cloud, Java, and Python development.
 
 
 </li>
 <li>
 
 Collaborate with data scientists and engineers to design and&nbsp;optimize&nbsp;applications.
 
 
 </li>
 <li>
 
 Cloud Technology Utilization: Leverage cloud platforms like GCP.
 
 
 </li>
 <li>
 
 Perform hands-on software development, writing code, API specs, doing proof of concepts, conducting code reviews, and testing in ongoing sprints.
 
 </li>
 
 
 
 <li>
 
 Drive consistent development practices - tools and common components
 
 
 </li>
 <li>
 
 Optimize and fine-tune applications to improve performance, accuracy, and efficiency.
 
 
 </li>
 <li>
 
 Good knowledge and hands on experience in RDBMS and NoSQL databases such as Oracle, MSSQL, PostgreSQL, MongoDB, Casandra
 
 
 </li>
 <li>
 
 Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions.
 
 
 </li>
 <li>
 
 Develop deep understanding of tie-ins with other systems and platforms within the supported domains.
 
 
 </li>
 <li>
 
 Work with technical product managers contributing to blueprints and assisting with annual planning of feature sets.
 
 
 </li>
 <li>
 
 Effectively communicate and collaborate with internal and external teams.
 
 
 </li>
 <li>
 
 CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes A problem solver, open to&nbsp;learning.&nbsp;Should have experience in troubleshooting,&nbsp;optimizing, solutioning and keeping up with evolving technologies - as a leading member of the team.&nbsp;
 
 
 </li>
 </ul>
 
 
 
 
 Qualifications &amp; Skills:
 
 
 
 
 
 <ul>
 <li>
 
 Degree in Computer Science with 1-3 years of experience.
 
 
 </li>
 <li>
 
 Experience in Programming Languages: Java, Vertx &amp; Reactive framework and Python and others.
 
 
 </li>
 <li>
 
 Experience in designing &amp; developing Java applications, API, services, Micro services-based architecture using frameworks like Spring Boot or Vertx.
 
 
 </li>
 <li>
 
 Hands-on experience with Kafka.
 
 
 </li>
 <li>
 
 Good knowledge and hands on experience in RDBMS and NoSQL databases such as Oracle, MSSQL, PostgreSQL, MongoDB, Casandra.
 
 
 </li>
 <li>
 
 Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux
 
 
 </li>
 <li>
 
 Good understanding of data structures, algorithms and design patterns
 
 
 </li>
 <li>
 
 Great written communication and documentation abilities
 
 
 </li>
 <li>
 
 Looks proactively beyond the obvious for continuous improvement opportunities.
 
 
 </li>
 <li>
 
 Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.
 
 
 </li>
 <li>
 
 Proficient in writing clean and efficient code to implement machine learning algorithms.
 
 
 </li>
 <li>
 
 Understanding of RESTful principles and experience in designing and implementing RESTful APIs for microservices communication.&nbsp;
 
 
 </li>
 <li>
 
 Cloud Knowledge: Proficient in cloud computing technologies.&nbsp;
 
 
 </li>
 <li>
 
 Ability to create scalable, reliable, and efficient solutions that meet business requirements.&nbsp;
 
 
 </li>
 <li>
 
 Continuous Learning: Commitment to staying updated with industry trends.&nbsp;
 
 
 </li>
 <li>
 
 Ability to effectively communicate technical concepts to both technical and non-technical audiences.&nbsp;
 
 
 </li>
 <li>
 
 Should have excellent problem-solving and analytical skills.&nbsp;
 
 
 </li>
 </ul>
 
 We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
 
 <ul>
 <li>
 
 Competitive base salaries&nbsp;
 
 </li>
 <li>
 
 Bonus incentives&nbsp;
 
 </li>
 <li>
 
 Support for financial-well-being and retirement&nbsp;
 
 </li>
 <li>
 
 Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)&nbsp;
 
 </li>
 <li>
 
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;
 
 </li>
 <li>
 
 Generous paid parental leave policies (depending on your location)&nbsp;
 
 </li>
 <li>
 
 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;
 
 </li>
 <li>
 
 Free and confidential counseling support through our Healthy Minds program&nbsp;
 
 </li>
 <li>
 
 Career development and training opportunities
 
 
 </li>
 </ul>
 
 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. &nbsp;
 
 
 
 
 Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
 
</div>

Software Engineer II

<div>
 
 
 QA / Test Engineer &ndash; Digital Twin of Ships
 
 
 
 
 Location:
 
 Chennai, India
 
 
 
 Work Mode:
 
 Hybrid (3 days/week from office)
 
 
 
 Job Grade:
 
 C2
 
 
 
 Experience Required:
 
 10&ndash;12 years
 
 
 
 Qualifications:
 
 Bachelor&rsquo;s or master&rsquo;s degree in engineering
 
 
 
 
 
 
 Your Role
 
 
 
 
 
 
 We are looking for a detail-oriented and technically skilled
 
 QA / Test Engineer
 
 to join our
 
 Digital Twin of Ships
 
 team. This role is ideal for someone with a strong background in automated testing and performance validation, who can ensure the reliability, accuracy, and robustness of complex simulation systems. You will play a critical role in validating system behavior and supporting continuous quality improvements.
 
 
 
 
 
 
 You profile
 
 
 
 
 
 <ul>
 <li>
 Validate system performance, reliability, and accuracy of digital twin simulations.
 </li>
 <li>
 Design and implement automated test suites using industry-standard tools.
 </li>
 <li>
 Conduct performance and load testing to ensure scalability and responsiveness.
 </li>
 <li>
 Collaborate with developers and product owners to define test strategies and acceptance criteria.
 </li>
 <li>
 Apply Test-Driven Development (TDD) practices to support agile workflows.
 </li>
 <li>
 Identify, document, and track defects and ensure timely resolution.
 </li>
 <li>
 Continuously improve testing processes and tools to enhance product quality.
 </li>
 <li>
 Strong engineering background with 10&ndash;12 years of experience in QA and testing roles.
 </li>
 <li>
 Proven experience in
 
 Digital Twin technologies
 
 , preferably in maritime or industrial domains.
 </li>
 </ul>
 
 Proficiency in automated testing tools:
 
 <ul>
 <li>
 
 Selenium
 
 </li>
 <li>
 
 Postman
 
 </li>
 <li>
 Experience in
 
 performance and load testing
 
 methodologies.
 </li>
 <li>
 Familiarity with
 
 Test-Driven Development (TDD)
 
 practices.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work collaboratively in agile teams and communicate effectively with stakeholders.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Love About Working Here
 
 
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative digital twin solutions in a high-impact domain.
 </li>
 <li>
 Collaborative and quality-focused work culture.
 </li>
 <li>
 Hybrid work model with flexibility.
 </li>
 <li>
 Career growth and leadership opportunities in QA and testing.
 </li>
 </ul>
 
 
 
 
 
 About Us
 
 
 
 
 
 
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
</div>

QA / Test Engineer – Digital Twin of Ships

Pfizer

<div>
 
 Role Summary
 
 
 
 As part of the Clinical Data Sciences (CDS) group, an integral delivery unit within the Clinical Development &amp; Operations (CD&amp;O) organization, the Clinical Data Scientist (CDS) is responsible for timely and high-quality data management deliverables supporting the Pfizer portfolio. The CDS delivers asset level information strategies and services for optimal use and reuse of internal and external information that will advance research, development, and commercialization of the Pfizer portfolio and further precision medicine. The CDS designs, develops, and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data, applies standards, data review and query management, and is accountable for quality study data set release and consistency in asset/submission data.
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Serve as Clinical Data Scientist and Trial Lead for one or more clinical trials assuming responsibility for all CDS activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence
 </li>
 <li>
 Serve as a technical resource to the study teams for DM and RBM standards, tools, data provisioning, and reporting
 </li>
 <li>
 Partners with Research/Business Units, external DM service providers and internal CDS staff to deliver high quality data management for all studies as assigned.
 </li>
 <li>
 Proactively drives quality and efficiency to meet timeline and milestones for data management, ensuring scientific and operational excellence in support of strategic imperatives and in collaboration with the cross functional study team (s).
 </li>
 <li>
 Ensure work carried out by or on behalf of CDS is in accordance with applicable SOPs and working practices.
 </li>
 <li>
 Participates and ensures quality database design including documentation, testing and implementation of clinical data collection tools, both CRF and non-CRF, using an electronic data capture (EDC) system and/or other data collection systems.
 </li>
 <li>
 Ensure the required study specific CDS documents in the Trial Master File (TMF) are of high quality and are filed contemporaneously.
 </li>
 <li>
 Ensure operational excellence in collaboration with partners for application of standards, data acquisition, proactive data review and data integrity monitoring, data cleaning, e-data processing, data access and visualization, and database release.
 
 
 </li>
 </ul>
 Work Location Assignment: Hybrid
 
 
 Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
 
 
 Medical
</div>

Manager, Clinical Data Scientist, CDIS

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