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ValGenesis

<div>
 
 About ValGenesis
 
 
 ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle.
 
 
 Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ
 
 
 About the Role:
 
 
 We are seeking a highly skilled AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, ie. revenue, engagement, and customer satisfaction.
 </li>
 <li>
 Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency.
 </li>
 <li>
 Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis.
 </li>
 <li>
 Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry
 </li>
 <li>
 Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry.
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2 - 4 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects.
 </li>
 <li>
 Strong programming skills in Python, Rust.
 </li>
 <li>
 Experience with Pandas, NumPy, SciPy, OpenCV (for image processing)
 </li>
 <li>
 Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch.
 </li>
 <li>
 Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.
 </li>
 <li>
 Experience with one or more Graph DBs - Neo4J, ArangoDB
 </li>
 <li>
 Experience with MLOps platforms, such as Kubeflow or MLFlow.
 </li>
 <li>
 Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.
 </li>
 <li>
 Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems.
 </li>
 <li>
 Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
 </li>
 <li>
 Excellent written and verbal communication skills and interpersonal skills.
 </li>
 <li>
 Advanced degree in Computer Science, Machine Learning or related field.
 
 
 
 
 </li>
 </ul>
 
 We&rsquo;re on a Mission
 
 
 In 2005, we disrupted the life sciences industry by introducing the world&rsquo;s first digital validation lifecycle management system. ValGenesis VLMS&reg; revolutionized compliance-based corporate validation activities and has remained the industry standard.
 
 
 Today, we continue to push the boundaries of innovation &horbar; enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations.
 
 
 
 The Team You&rsquo;ll Join
 
 
 Our customers&rsquo; success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity&rsquo;s quality of life, and we honor that mission.
 
 
 We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done.
 
 
 We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward.
 
 
 We&rsquo;re in it to win it. We&rsquo;re on a path to becoming the number one intelligent validation platform in the market, and we won&rsquo;t settle for anything less than being a market leader.
 
 
 
 How We Work
 
 
 Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company.
 
 
 ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.
</div>

Software Engineer - AI/ML

HCLTech

<div>
 
 HCL Tech is hiring for AI/ML Developer &ndash; Python
 
 
 
 
 
 Location: Bengaluru, Chennai, India
 
 
 EXP - 3 to 5yrs
 
 
 Notice Period - Imm to 15days
 
 
 
 
 
 Job Description
 
 
 
 
 
 Unlock innovation through Artificial Intelligence and Machine Learning.
 
 
 We are seeking a talented and motivated AI/ML Developer with expertise in Python to join our growing team. The ideal candidate will design, develop, and deploy state-of-the-art AI/ML solutions for a global clientele, driving measurable business impact.
 
 
 
 
 
 Key Responsibilities
 
 
 &bull; Design, develop, and implement AI/ML models and algorithms using Python and related libraries
 
 
 &bull; Preprocess, clean, and analyze large datasets to prepare for machine learning
 
 
 &bull; Build, train, validate, and optimize models for supervised, unsupervised, and reinforcement learning tasks
 
 
 &bull; Deploy machine learning models to production environments (cloud/on-premises) and monitor their performance
 
 
 &bull; Collaborate with cross-functional teams to understand business requirements and deliver robust solutions
 
 
 &bull; Document methodologies, experiments, and results for knowledge sharing
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Electronics, Mathematics, Statistics, or related discipline
 
 
 &bull; Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras)
 
 
 &bull; Knowledge of data engineering, feature engineering, and end-to-end ML pipelines
 
 
 &bull; Familiarity with version control (Git) and CI/CD practicesTitle: AI/ML Developer &ndash; Python
 
</div>

Data Scientist

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

dentsu

<div>
 We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights
 
 
 
 Job Description:
 
 
 
 Key responsibilities:
 
 
 <ul>
 <li>
 Modeling &amp; Machine Learning
 </li>
 <li>
 Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems).
 </li>
 <li>
 Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.).
 </li>
 <li>
 Work on feature engineering, model interpretability, and performance optimization.
 </li>
 <li>
 Data-Driven Business Strategy
 </li>
 <li>
 Partner with stakeholders to identify key opportunities where data science can drive business value.
 </li>
 <li>
 Translate business problems into data science projects with clearly defined deliverables and success metrics.
 </li>
 <li>
 Provide actionable recommendations based on data analysis and model outputs.
 </li>
 <li>
 Analytics and Experimentation
 </li>
 <li>
 Conduct deep-dive exploratory analysis to uncover trends and insights.
 </li>
 <li>
 Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness
 </li>
 <li>
 Design and analyze A/B tests and other experiments to support product and marketing decisions.
 </li>
 <li>
 Automate data pipelines and dashboards for ongoing monitoring of model and business performance.
 
 
 
 </li>
 </ul>
 
 Technical
 
 
 Skills:
 
 
 
 <ul>
 <li>
 Languages: Proficient in Python, MySQL.
 </li>
 <li>
 Libraries/Frameworks: scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch.
 </li>
 <li>
 Statistical Method: Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis
 </li>
 <li>
 Databases : PostgreSQL, BigQuery, MySQL.
 </li>
 <li>
 Visualization: Plotly, Seaborn, Matplotlib.
 </li>
 <li>
 Deployment: Experience in Gitlab, CI/CD pipelines(Good to have).
 </li>
 <li>
 Cloud Platforms: Familiarity with AWS, GCP, or Azure services(Good to have).
 
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 Chennai
 
 
 
 Brand:
 
 
 
 Paragon
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 
 Contract Type:
 
 
 
 Permanent
</div>

Senior Account Manager -Data Science

IndusInd Bank

<div>
 
 
 About the Organization
 
 : IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities.
 
 
 Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team&rsquo;s charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platform growth &amp; engagement) will be part of the digital team at IndusInd Bank and will help uncover insights that help drive the digital strategy and optimize customer experience.
 
 
 
 
 
 
 About the role
 
 : You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams.
 
 
 
 
 
 
 Overall, Job Description
 
 
 <ul>
 <li>
 Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
 </li>
 <li>
 Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
 </li>
 <li>
 Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
 </li>
 <li>
 Well versed with necessary data reprocessing and feature engineering skills.
 </li>
 <li>
 Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction
 </li>
 <li>
 Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes.
 </li>
 <li>
 Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy.
 </li>
 <li>
 Experience in establishing/scaling up data science functions
 </li>
 <li>
 Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
 </li>
 <li>
 Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time
 </li>
 <li>
 Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes
 </li>
 <li>
 Work with product, growth, and marketing teams across product/campaign lifecycle
 </li>
 <li>
 Empower product and marketing teams by creating automated dashboards and reports using PowerBI
 </li>
 </ul>
 
 
 
 
 
 Skills/Capabilities
 
 
 <ul>
 <li>
 Model development experience in R, Python, SAS
 </li>
 <li>
 Strong and in-depth understanding of statistics
 </li>
 <li>
 Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems
 </li>
 <li>
 Ability to build &amp; use relationships and influence broadly across the organization
 </li>
 <li>
 Results driven with strong project management skills, ability to work on multiple priorities
 </li>
 <li>
 Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing
 </li>
 </ul>
 
 
</div>

<div>
 
 Job Summary
 
 
 
 We are seeking a
 
 Senior Data Analyst
 
 with strong expertise in
 
 Power BI
 
 and a solid foundation in
 
 AI/ML concepts
 
 to join our growing analytics team. The ideal candidate will be responsible for designing and developing advanced dashboards, driving data insights, and applying machine learning techniques to support business decision-making. You will collaborate with cross-functional teams, translate business requirements into data-driven solutions, and guide junior analysts with best practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Dashboarding &amp; Reporting
 </li>
 <ul>
 <li>
 Design, develop, and optimize interactive Power BI dashboards and reports for multiple business functions.
 </li>
 <li>
 Ensure data accuracy, reliability, and user-friendly visualization for decision-making.
 </li>
 </ul>
 <li>
 Data Analysis &amp; Insights
 </li>
 <ul>
 <li>
 Perform deep-dive analysis to identify business trends, patterns, and improvement opportunities.
 </li>
 <li>
 Develop KPIs, metrics, and automated reporting frameworks.
 </li>
 </ul>
 <li>
 AI / ML Integration
 </li>
 <ul>
 <li>
 Apply machine learning models (predictive, classification, clustering, etc.) to support business use cases.
 </li>
 <li>
 Collaborate with data science teams to integrate AI/ML outputs into Power BI reports.
 </li>
 <li>
 Support experimentation (A/B testing, forecasting, anomaly detection) to improve processes and outcomes.
 </li>
 </ul>
 <li>
 Collaboration &amp; Leadership
 </li>
 <ul>
 <li>
 Partner with stakeholders to understand business requirements and translate them into analytical solutions.
 </li>
 <li>
 Mentor junior analysts in Power BI best practices, data storytelling, and analytical techniques.
 
 </li>
 </ul>
 </ul>
 
 Must-Have
 
 
 
 
 Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 5+ years of experience in data analysis and visualization.
 </li>
 <li>
 Expert-level knowledge in Power BI (DAX, Power Query, data modeling, performance tuning).
 </li>
 <li>
 Strong SQL skills and experience with relational databases.
 </li>
 <li>
 Hands-on knowledge of AI/ML techniques (regression, classification, clustering, forecasting).
 </li>
 <li>
 Experience with Python or R for data analysis and machine learning.
 </li>
 <li>
 Strong analytical, problem-solving, and storytelling skills.
 
 
 </li>
 </ul>
 
 Good-to-Have
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services / Power Platform.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Familiarity with MLOps / deploying ML models into production.
 </li>
 <li>
 Experience in mentoring or leading junior analysts.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work on impactful projects with advanced analytics and AI/ML.
 </li>
 <li>
 Collaborative work environment with a culture of learning and innovation.
 </li>
 <li>
 Growth opportunities to transition into Data Science / Analytics Leadership roles.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 <ul>
 <li>
 This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
 
 
 </li>
 </ul>
</div>

Supply Chain Analyst (Data Analyst)

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

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Data Scientist / Analyst – Digital Twin of Ships