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data scientist / analyst – digital twin of ships Jobs in Chennai

data scientist / analyst – digital twin of ships

data scientists

data scientist

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

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>

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

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

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

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

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

Explore 75+ Data scientist in Chennai this October. Find roles across top companies and apply now to boost your career.

75 data scientist jobs IN Chennai

Data Scientist

Data Scientist

Lead Data Scientist

Manager, Clinical Data Scientist, CDIS

Data Scientist / Analyst – Digital Twin of Ships

Senior Account Manager -Data Science

Data Scientists