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director of data science

<div>
 
 
 ADP is hiring a Director of Data Science.
 
 
 
 
 
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 Are you an experienced leader in Data Science ready for your next-level adventure?
 
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 Does the thought of working with one of the most comprehensive employment data sets in the world excite you?
 
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 Are you inspired by transformation and making an impact on the lives of millions of people every day?
 
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 Are you a technologist first and foremost who approaches every problem wearing that hat while going out of your way to champion creativity and build diverse, productive, and engaged teams?
 
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 </ul>
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for an Applied Scientist Leader to lead the development of next-generation AI-powered solutions for ADP. You will be responsible for creating systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for ADP Products. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services. This role requires deep expertise in machine learning, data science, and generative AI.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
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 Set up, build, and grow the team. You will work in close collaboration with the leadership team to assemble a world-class team.
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 Own and manage projects. You will identify, design, develop, and implement advanced and innovative analytical solutions that create high business impact.
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 Productionize. You will design, implement, and deploy high-performing machine learning/AI models in the Cloud.
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 Advanced Analytics &amp; Predictive Modeling. You bring prior experience to the role of formulating problems, extracting &amp; analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations. You will interact with developers, UX designers, product managers, and senior executives to understand the problem domain, project requirements, user experience, and demonstrate model performance and its business value.
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 Limitless Possibilities. You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that lead to innovations.
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 Collaboration and Communication. You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings.
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 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
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 PhD in quantitative area and 10+ years&rsquo; experience in Data Science or related field is required, with at least 4 years&rsquo; experience as a Team Leader.
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 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
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 Experience in Python, SQL, distributed computing tools such as Databricks, AWS, or other Cloud platforms; well-versed with Scikit-learn, PyTorch, or other machine learning libraries and platforms.
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 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
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 Practical experience with machine learning approaches for structured data, graph neural networks, time series modeling, and mathematical optimization.
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 Demonstrated ability to design novel solutions in response to business requirements and to successfully deploy software products that operate at scale.
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 </ul>
 
 
 
 
 
 YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:
 
 
 
 
 
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 Have courageous team collaboration.
 
 Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to find the best solution.
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 Deliver at epic scale.
 
 We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
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 Be surrounded by curious learners.
 
 We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
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 Act like an owner &amp; doer.
 
 Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
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 Give back to others.
 
 Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.
 </li>
 </ul>
</div>

Director of Data Science

<div>
 
 
 
 Data Science - JD
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
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 Work with data from multiple internal/external data sources and APIs including Hadoop clusters
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 Work with structured as well as unstructured data
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 Data wrangling for cleanup, handle missing data, standardize/scale data
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 Explore and analyze data using visualizations to uncover hidden patterns
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 Use ML techniques including linear/logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models
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 Use these models to identify patterns and rules which help unearth business insights and aid in decision making
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 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 
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 Bachelor, Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
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 3+ years of hands-on experience with NLP, recommendation systems, or generative AI
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 Technical Skills
 
 
 
 
 
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 Programming
 
 : Expert-level Python; proficiency in SQL, or Scala
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 ML Frameworks
 
 : PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers
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 NLP Libraries
 
 : spaCy, NLTK, Gensim, transformers
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 Big Data
 
 : Spark, Hadoop, or similar distributed computing frameworks
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 Cloud Platforms
 
 : AWS/GCP/Azure ML services and infrastructure
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 MLOps
 
 : Experience with model deployment, monitoring, and CI/CD pipelines
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 </ul>
 
 
 Databases
 
 : SQL and NoSQL databases, vector databases (Opensearch )
 
 
 
 
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 Deep understanding of transformer architectures and attention mechanisms
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 Experience with recommendation system architectures (matrix factorization, deep learning approaches)
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 Knowledge of information retrieval and search relevance
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 Familiarity with A/B testing and statistical significance testing
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 Understanding of ML interpretability and fairness considerations
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 </ul>
 
 
</div>

Data Scientist

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
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 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
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 Python, R etc.
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 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
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 Good knowledge of end-to-end data science implementation including data ingestion, integration
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 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
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 GOOD TO HAVE SKILL:
 
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 Masters degree in a quantitative discipline.
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 MLOps/ DevOps
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 BI tools like Power BI
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 ROLES AND RESPONSIBILITIES:
 
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 Ability to tailor communications to a variety of internal and external audiences.
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 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
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 Effective written and verbal communication and interpersonal skills.
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 Ability to engage with senior C-level business leaders.
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 Calm under pressure, ability to juggle multiple priorities and ambiguity.
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 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
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 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
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 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
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 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
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 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
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 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
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 </ul>
 
 
</div>

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
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 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
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 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
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 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
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 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
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 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
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 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
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 Automate ML models deployments
 
 
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 Qualifications
 
 
 
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 Minimum 3years of hands-on work experience in data science / Machine learning
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 Minimum 3year of SQL experience
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 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
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 BE/BS in Computer Science, Math, Physics, or other technical fields.
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 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
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 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
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 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
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 Any Cloud - Experience in Databricks and ADF is desirable
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 Familiarity with Spark, Hive, Pig is an added advantage
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 Model deployment experience will be a plus
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 Experience with version control systems like GitHub and CI/CD tools
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 Experience in Exploratory data Analysis
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 Knowledge of ML Ops / DevOps and deploying ML models is required
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 Experience using MLFlow, Kubeflow etc. will be preferred
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 Experience executing and contributing to ML OPS automation infrastructure is good to have
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 Exceptional analytical and problem-solving skills
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 </ul>
</div>

<div>
 
 Job Description
 
 
 
 R2
 
 
 Manager, Scientific Computing
 
 
 
 The Opportunity
 
 
 
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 Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
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 Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and a n i m a l health p r o d u c t s.
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 Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats.
 
 
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 </ul>
 Our Technology Center&rsquo;s focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company&rsquo;s IT operating model, Tech Center&rsquo;s are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.
 
 
 A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Center&rsquo;s.
 
 
 
 Role Overview
 
 
 
 As Manager of Scientific Computing, you will provide high-performance computing (H P C) programming expertise in Linux and AWS cloud environments. Collaborate with Senior Manager to support research and development teams computational requirements and provide tailored H P C solutions by developing and optimizing applications and workflows. Ultimately, you will play a key role in implementing scalable and efficient solutions on AWS to support compute-intensive applications. We are looking for an individual with passion for H P C and motivated to provide worldclass H P C experience to enable research scientist to use the power of leading-edge science to save and improve lives around the world
 
 
 
 What Will You Do In This Role
 
 
 
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 Work closely with researchers, data scientists, and system administrators to develop H P C solutions in a DevOps environment.
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 Implement scalable and efficient solutions on AWS, leveraging services such as EC2, S3, EFA, and FSx for Lustre, etc.
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 Optimize compute and data workflows for performance and cost-efficiency in cloud-based H P C environments.
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 Create scripts and tools for automating cluster deployment, monitoring, and management using Terraform, Ansible, AWS CLI, etc.
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 Analyze and tune Linux systems and applications for H P C workloads, including network performance and parallel file systems.
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 Diagnose and resolve issues in complex H P C environments, including job scheduling, software, and cloud infrastructure.
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 Document processes, configurations, and best practices for H P C workloads in AWS and Linux environments.
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 Work within a matrix organizational structure, reporting to both the functional manager and Hyderabad based Director, as well as collaborating with other teams.
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 Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals.
 
 
 </li>
 </ul>
 
 What Should You Have
 
 
 
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 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field (with relevant experience). Bachelor&rsquo;s degree in other fields with extensive relevant experience is acceptable.
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 3+ years of hands-on experience in Linux operating systems, shell scripting, and HPC architecture.
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 Hands-on experience with infrastructure-as-code on AWS.
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 Experience with CI/CD toolchains (e.g. GitLab, GitHub Action, Jenkins, etc.).
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 Experience with job schedulers like SLURM, AWS Parallel Cluster, Grid Engine, AWS Batch, PBS Pro or other H P C workload managers.
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 Strong analytical skills to assess and interpret complex data.
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 Excellent verbal and written communication skills to convey findings and recommendations.
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 Strong problem-solving skills.
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 Proactive approach to identifying and addressing potential risks.
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 Meticulous attention to detail to ensure accurate assessments and reporting.
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 Understanding of relevant regulations and compliance standards.
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 Ability to coordinate with various teams.
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 Strong organizational skills to handle multiple tasks and priorities effectively.
 
 
 </li>
 </ul>
 Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation.
 
 
 
 Who We Are
 
 
 
 We are known as Merck &amp; Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
 
 
 
 What We Look For
 
 
 
 Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us&mdash;and start making your impact today.
 
 
 
 #HYDIT2025
 
 
 
 
 Required Skills
 
 
 
 Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing
 
 
 
 Preferred Skills
 
 
 
 Current Employees apply HERE
 
 
 Current Contingent Workers apply HERE
 
 
 
 Search Firm Representatives Please Read Carefully
 
 
 
 Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
 
 
 
 Employee Status
 
 
 
 Regular
 
 
 
 Relocation
 
 
 
 
 VISA Sponsorship
 
 
 
 
 Travel Requirements
 
 
 
 
 Flexible Work Arrangements
 
 
 
 Hybrid
 
 
 
 Shift
 
 
 
 
 Valid Driving License
 
 
 
 
 Hazardous Material(s)
 
 
 
 
 Job Posting End Date
 
 
 
 12/30/2025
 
 
 <ul>
 <li>
 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
 
 
 </li>
 </ul>
 
 Requisition ID
 
 R342313
</div>

Manager, Scientific Computing Specialist

Novartis India

<div>
 
 Summary
 
 
 
 We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
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 Develop and deploy scalable machine learning models to address business challenges.
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 Utilize NLP techniques to extract insights from unstructured text data.
 </li>
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 Implement graph neural networks to analyze relational data and uncover complex patterns.
 </li>
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 Conduct topic modeling to distill key themes from large datasets.
 </li>
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 Design, implement, and analyze experiments to inform data-driven decisions.
 </li>
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 Collaborate with cross-functional teams to identify, define, and solve challenging problems.
 </li>
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 Communicate findings and recommendations to stakeholders in a clear and concise manner.
 </li>
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 Continuously stay updated with the latest advancements in data science, machine learning, and related fields.
 
 
 </li>
 </ul>
 
 Required Qualifications And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Mathematics, or a related field.
 </li>
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 Proven experience in machine learning, NLP, and generative AI.
 </li>
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 Proficiency in graph neural networks and topic modeling.
 </li>
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 Skills in deep learning architecture and training neural networks
 </li>
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 Strong programming skills in Python, R, or a similar language.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to communicate complex technical concepts to non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications And Skills
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in a relevant field
 </li>
 <li>
 Bachelor&rsquo;s from reputed college with keen desire to learn
 </li>
 <li>
 Experience in the design of experiments and statistical analysis.
 </li>
 <li>
 Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure).
 </li>
 <li>
 Strong project management and organizational skills.
 
 
 </li>
 </ul>
 
 Languages
 
 
 
 <ul>
 <li>
 English.
 
 
 </li>
 </ul>
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Experian

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Analyze and interpret complex data trends across consumer, commercial, housing, and alternative credit data to create insights that inform strategic decisions.
 </li>
 <li>
 Design, develop and deploy analytical workflows, scalable data pipelines, data science solutions, and machine learning models to enhance data quality and operational efficiency.
 </li>
 <li>
 Translate high-level requirements into clear technical specifications, data models, and process flow diagrams that support solution development.
 </li>
 <li>
 Communicate analytical findings through compelling storytelling, data visualizations, and executive-level presentations to guide partner decision-making.
 </li>
 <li>
 Collaborate with internal clients to assess and resolve data quality issues, offering expert guidance as part of established data remediation programs.
 </li>
 <li>
 Partner with teams including Data Ops, Product Development, Compliance, and Audit to gather insights and feedback that shape data-driven programs and product strategies.
 </li>
 <li>
 You'll report to a Senior Manager
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics, or a related quantitative field; or equivalent practical experience.
 </li>
 <li>
 You need to have 5+ years of experience in analytics, SQL, and proficient in relational and distributed data systems such as Aurora, MySQL, Hive, Athena, etc. Experience analyzing large datasets using tools like Alteryx, Python, SAS, R, AWS Glue, etc. -
 </li>
 <li>
 Experience building and delivering insights through data visualization and BI tools such as Tableau, Power BI, Qlik, and Microsoft Excel/PowerPoint.
 </li>
 <li>
 A deep Interest in data modeling, machine learning, or GenAI, and proficiency in tools such as Python (NumPy, pandas, scikit-learn, TensorFlow, PyTorch) and Spark is preferred.
 </li>
 <li>
 Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP) is preferred. -
 </li>
 <li>
 Prior experience in the consumer credit, lending, or financial services industry is a plus.
 </li>
 <li>
 Knowledge of data domains such as CRRG/Metro2 standards, public records, credit inquiries, and commercial credit data.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 
 Benefits
 
 
 
 Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Data Analyst Senior

Explore 186+ Director of data science in Hyderabad this December. Find roles across top companies and apply now to boost your career.

186 director of data science jobs IN Hyderabad

Director of Data Science

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Data Scientist

Data Scientist

Manager, Scientific Computing Specialist

Data Scientist

Data Analyst Senior