data scientist

data scientist - (risk analyst) Jobs in Chennai

data scientist - (risk analyst)

research engineer 3/ senior research engineer 1 Jobs in Chennai

research engineer 3/ senior research engineer 1

research scientist

NielsenIQ

<div>
 
 
 Company Description
 
 
 
 
 NielsenIQ is a consumer intelligence company that delivers the Full View&trade;, the world&rsquo;s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with.
 
 
 NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects
 
 
 
 
 Job Description
 
 
 
 
 We are looking for a Research Scientist with a data-centric mindset to join our applied research and innovation team. The ideal candidate will have a strong background in machine learning, deep learning, operationalization of AI/ML and process automation.
 
 
 You will be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts to resolve real-world and large-scale challenging problems.
 
 
 
 
 Job Responsibilities
 
 
 
 
 Develop and apply machine learning innovations with minimal technical supervision. Understand the requirements from stakeholders and be able to communicate results and conclusions in a way that is accurate, clear and winsome.
 
 
 Perform feasibility studies and analyse data to determine the most appropriate solution. Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
 
 
 Both data and software must be developed and maintained with high-quality standards and minimal defects. Collaborate with other technical fellows on the integration and deployment of ML solutions. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations.
 
 
 
 
 Qualifications
 
 
 
 
 
 Essential Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or an equivalent numerate discipline
 </li>
 <li>
 Demonstrated senior experience in Machine Learning, Deep Learning &amp; other AI fields
 </li>
 <li>
 Experience working with large datasets, production-grade code &amp; operationalization of ML solutions
 </li>
 <li>
 EDA analysis &amp; practical hands-on experience with datasets, ML models (Pytorch or Tensorflow) &amp; evaluations
 </li>
 <li>
 Able to understand scientific papers &amp; develop the idea into executable code
 </li>
 <li>
 Analytical mindset, problem solving &amp; logical thinking capabilities
 </li>
 <li>
 Proactive attitude, constructive, intellectual curiosity &amp; persistence to find answers to questions
 </li>
 <li>
 A high level of interpersonal &amp; communication skills in English &amp; strong ability to meet deadlines
 </li>
 <li>
 Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks
 
 
 </li>
 </ul>
 
 
 Desired Skills
 
 
 
 
 <ul>
 <li>
 Masters degree &amp;/or specialization courses in AI/ML. PhD in science is an added value
 </li>
 <li>
 Experience in MLOPs (MLFlow, Prefect) &amp; deployment of AI/ML solutions to the cloud (Azure preferred)
 </li>
 <li>
 Understanding &amp; practice of LLMs &amp; Generative AI (prompt engineering, RAG)
 </li>
 <li>
 Experience with Robotic Process Automation, Time Series Forecasting &amp; Predictive modeling
 </li>
 <li>
 A practical grasp of databases (SQL, ElasticSearch, Pinecone, Faiss)
 </li>
 <li>
 Previous experience in retail, consumer, ecommerce, business, FMCG products (NielsenIQ portfolio)
 
 
 </li>
 </ul>
 
 
 Additional Information
 
 
 
 
 With @NielsenIQ, we&rsquo;re now an even more diverse team of 40,000 people &ndash; each with their own stories
 
 
 Our increasingly diverse workforce empowers us to better reflect the diversity of the markets we measure.
 
 
 
 
 Our Benefits
 
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 
 
 </li>
 </ul>
 
 
 Our Benefits
 
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 
 
 </li>
 </ul>
 
 
 About NIQ
 
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 For more information, visit NIQ.com
 
 
 Want to keep up with our latest updates?
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
 
 
</div>

Research Scientist

Avendus

<div>
 
 
 Location
 
 : Chennai
 
 
 
 
 
 The role will be a part of the Equity Research Team at the Institutional Equities business
 
 
 
 
 
 
 
 
 
 Role &amp; Responsibilities :
 
 
 
 
 
 <ul>
 <li>
 The role requires the individual to have an analytical and research based approach
 </li>
 <li>
 The role impacts the investors group deeply, where they advise them on the intrinsic check points/inquiries that needs to be undertaken before an investment decision is made
 </li>
 <li>
 Detailed review and analysis of competitive landscape.
 </li>
 <li>
 Comparative study within the industry/competing/peer firms to draw up analysis which will strengthen the confidence of the investors
 </li>
 <li>
 Qualitative and Quantitative Analysis through financial modelling through historical data ad other relevant data sources
 </li>
 <li>
 The role strengthens the equity research team`s review on specific sector/industry/firms
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Background :
 
 
 
 
 
 <ul>
 <li>
 Should have the ability to synthesis insights from accounting and financial information disclosed by companies and regulators.
 </li>
 <li>
 Preferably CA/CFA background
 </li>
 <li>
 Strong technical/conceptual understanding of finance and valuations
 </li>
 <li>
 Strong statistical and analytical skills to assess the economic performance / perform analysis of companies and industries
 </li>
 <li>
 Strong business acumen &amp; a multi-tasker with an eye for details
 </li>
 <li>
 MS Office skills &ndash; should be proficient in MS PowerPoint, MS Excel, and MS Word
 </li>
 </ul>
 
 
 
 
 
 
 
 About
 
 Avendus Spark :
 
 Avendus Spark Institutional Equities is India&rsquo;s leading Domestic institutional brokerage house. Trusted by 400+ institutional investors for its intellectual honesty, thought leadership, detail-oriented, ears to the ground and a buy side approach to sell side research. The 50+ member team covers 250+ stocks across ~15 sectors, covering ~80% of the total market capitalisation in India. Each sector lead analyst has over 12 years expertise in covering the respective sectors and overall 15+ years of experience. The team scores high on sector knowledge, relationships and objectivity. The Research team at Spark has been ranked as #1 Best India Research in the recently concluded Asiamoney 2023 Polls and consistently ranked among the Top 3 Research Teams over the past decade.
 
</div>

Associate - Equity Research - Avendus Spark

<div>
 
 Before you apply to a job, select your language preference from the options available at the top right of this page.
 
 
 
 Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
 
 
 
 Job Description
 
 
 
 
 DATA SCIENTIST
 
 
 
 
 Job Summary
 
 
 
 This
 
 Data Scientist
 
 creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Defines key data sources from UPS and external sources to deliver models.
 </li>
 <li>
 Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
 </li>
 <li>
 For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
 </li>
 <li>
 Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
 </li>
 <li>
 Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
 </li>
 <li>
 Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
 </li>
 <li>
 Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
 </li>
 <li>
 Presents operationalized analytic findings and provides recommendations.
 </li>
 <li>
 Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
 </li>
 <li>
 Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Expertise in R, SQL, Python and/or any other high-level languages.
 </li>
 <li>
 Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
 </li>
 <li>
 Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
 </li>
 <li>
 Experience applying models from small to medium scaled problems.
 </li>
 <li>
 Strong analytical skills and attention to detail.
 </li>
 <li>
 Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
 </li>
 <li>
 Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
 </li>
 <li>
 Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
 </li>
 <li>
 Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
 </li>
 <li>
 Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
 </li>
 <li>
 Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
 </li>
 <li>
 Familiarity with Java or C++ is a plus.
 </li>
 <li>
 Solid oral and written communication skills, especially around analytical concepts and methods.
 </li>
 <li>
 Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
 </li>
 <li>
 Master&rsquo;s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
 
 
 </li>
 </ul>
 
 Last Day Posted - 2/25/2024
 
 
 
 
 Employee Type
 
 
 
 Permanent
 
 
 UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
</div>

Data Scientist

Tata Elxsi

<div>
 
 
 Purpose of the role:
 
 
 
 As a Data Scientist, the person will be responsible for bringing a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience.
 
 
 
 
 
 
 KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from various sources.
 </li>
 <li>
 Develop and implement machine learning models and statistical algorithms.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and anomalies.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
 </li>
 <li>
 Visualize data insights using tools like Tableau, Power BI, or matplotlib/seaborn.
 </li>
 <li>
 Communicate findings clearly to stakeholders through reports and presentations.
 </li>
 <li>
 Continuously improve data processes and model performance.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Graduate degree or Phd in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline.
 </li>
 <li>
 Machine learning, data science skills with strong programming background in python.
 </li>
 <li>
 5+ years of experience with common data science toolkits, such as scikit-learn, R, etc. Excellence in at least one of these is highly desirable.
 </li>
 <li>
 Great communication skills.
 </li>
 <li>
 Good Analytical skills
 </li>
 <li>
 Data-oriented personality
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies:
 
 
 
 
 Must Have:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Spark, Hadoop, Kafka,
 </li>
 <li>
 AWS/ Azure/ Google Cloud
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Spark (AWS EMR, Databricks), AWS Lambda
 </li>
 <li>
 Spark Streaming and Batch
 </li>
 <li>
 Avro, Parquet
 </li>
 <li>
 Stream Data Platforms: AWS Kinesis
 </li>
 <li>
 MySQL, Cassandra, HBase, MongoDB, RDBMS
 </li>
 <li>
 Caching Frameworks(ElasticCache/Redis)
 </li>
 <li>
 Elasticsearch, Beats, Logstash, Kibana
 </li>
 <li>
 Java, Scala, Go, R
 </li>
 <li>
 Git, Maven, Gradle, Jenkins
 </li>
 <li>
 Rancher, Puppet, Concourse, Docker, Ansible, Kubernetes
 </li>
 <li>
 Linux
 </li>
 <li>
 Presto, Athena
 </li>
 <li>
 Keras, Pandas)
 </li>
 <li>
 Visualization suite (AWS Quicksight, Grafana)
 </li>
 </ul>
</div>

ClinicMind

<div>
 ClinicMind is a leading healthcare SaaS platform that helps providers improve their practice financial performance, drive sustainable growth, and enhance patient care with integrated EHR, RCM, and Patient Engagement automation and excellent service solutions. outcomes, and maximizes revenue cycle efficiency.
 
 
 
 Position Summary
 
 
 
 The Junior Data Scientist will support the Data Science team in analyzing data, creating visual insights, and maintaining scalable data workflows using Amazon QuickSight and Amazon Redshift. This role is ideal for an entry-level candidate passionate about analytics, cloud data tools, and supporting data-driven business decisions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Data Management &amp; Preparation
 </li>
 <li>
 Extract, clean, and manage datasets within Amazon Redshift and related AWS data sources.
 </li>
 <li>
 Ensure data quality, consistency, and completeness for downstream analytics.
 </li>
 <li>
 Visualization &amp; Reporting
 </li>
 <li>
 Build and maintain Amazon QuickSight dashboards to communicate trends, KPIs, and actionable insights.
 </li>
 <li>
 Automate recurring reporting workflows and enhance dashboard interactivity.
 </li>
 <li>
 Data Analysis &amp; Insights
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and patterns.
 </li>
 <li>
 Support business teams by generating ad-hoc analyses and presenting insights clearly.
 </li>
 <li>
 Collaboration &amp; Support
 </li>
 <li>
 Work closely with the Data Science Team Lead and cross-functional teams (Operations, Product, and Engineering).
 </li>
 <li>
 Participate in sprint reviews, data validation, and stakeholder discussions.
 </li>
 <li>
 Continuous Learning &amp; Innovation
 </li>
 <li>
 Stay up to date on AWS analytics services, BI tools, and data visualization best practices.
 </li>
 <li>
 Contribute new ideas for improving efficiency, visualization design, and automation.
 
 
 </li>
 </ul>
 
 Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Analytics, or related field.
 </li>
 <li>
 Hands-on experience with Amazon QuickSight for dashboarding and reporting.
 </li>
 <li>
 Understanding of Amazon Redshift (queries, schemas, joins, and data pipelines).
 </li>
 <li>
 Knowledge of SQL for data extraction and transformation.
 </li>
 <li>
 Basic exposure to Python or R (optional but desirable).
 </li>
 <li>
 Strong analytical mindset and attention to detail.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 AWS Certified Data Analytics
 </li>
 <li>
 Amazon QuickSight Author Certification
 </li>
 <li>
 AWS Cloud Practitioner or Practitioner Essentials
 
 
 </li>
 </ul>
 Must Have
 
 
 <ul>
 <li>
 Must have a stable internet connection minimum of 25 MBPS
 </li>
 <li>
 Must have a mobile data plan as a backup
 </li>
 <li>
 Must be in a quiet environment / work from home set-up
 </li>
 <li>
 Must be comfortable working the US Eastern Time business hours
 </li>
 <li>
 Minimum system requirement: Latest i5 with SSD hard disk (i7 preferred), 16 GB RAM (32 GB preferred)
 </li>
 </ul>
</div>

Junior Data Scientist - Work From Home

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Senior Consultant Tax Technology Consulting - Sirion - CLM
 
 
 
 The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now!
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Senior Consultant in Deloitte&rsquo;s Legal Business Services function, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency, leveraging numerous applications.
 
 
 This is a unique opportunity for you to join a team as it expands and help us position Deloitte as the clear legal technology leader.
 
 
 As a Legal Business Services Senior Consultant, you will contribute to the growth and success of Deloitte Tax LLP in a variety of way, including:
 
 
 <ul>
 <li>
 Client Management : Participate in the day-to-day interactions with client&rsquo;s project team members and Deloitte project leadership members.
 </li>
 <li>
 Delivery : Work with a team to optimize tax and legal processes, leveraging technology to align tax and legal software with the clients&rsquo; specific requirements and goals.
 </li>
 <li>
 Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments.
 </li>
 <li>
 Support : Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes.
 </li>
 <li>
 Project Management : Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls.
 </li>
 <li>
 Cross Functional Teaming : Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically.
 </li>
 <li>
 People Development : Participate in the development of team members.
 </li>
 <li>
 Business Development : Participate in and contribute to pursuit teams.
 
 
 </li>
 </ul>
 
 The team
 
 
 
 At Deloitte Tax LLP, our Legal Business Services (LBS) practice helps legal departments pursue a streamlined, transparent, and efficient legal function that enhances the core responsibilities of operations, contracting, compliance, reporting and planning, while also positioning Deloitte as a strategic business advisor for the digital era. We specialize in advising legal departments and can effectively address a corporate legal function&rsquo;s unique needs, requirements and obligations. As legal operations and contracting specialists, we help clients make appropriate operations and technology choices. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with contract lifecycle management, legal entity management, and legal operations services.
 
 
 Deloitte LBS professionals are aligned across our global network of member firms to support our clients&rsquo; objectives and address their challenges. Our team&rsquo;s multi-disciplinary approach combines technical and technology skillsets, enabling greater impact and efficiency within our client&rsquo;s organization. LBS helps clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, contract lifecycle management, legal entity management, and legal operating models. Learn more about Deloitte Legal Business Services.
 
 
 
 Qualifications
 
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Law, Information Technology, Computer Science, or a related field.
 </li>
 <li>
 6+ years of experience in CLM platform implementation, business process consulting, or technology advisory, with hands-on exposure to one or more leading CLM solutions (e.g., Icertis, DocuSign, Ironclad, SirionLabs, Conga, Agiloft, etc.).
 </li>
 <li>
 Trained and certified on Sirion Platform (Sirion L1, L2, L3 trained &amp; Certified, Sirion Certified CLM Specialist), At least 1-2 years of Sirion implementation experience for Global organizations.
 </li>
 <li>
 Demonstrated experience leading end-to-end CLM implementation projects, including facilitating client workshops, conducting stakeholder interviews, process mapping, solution designing, configuration, testing, deployment, and post-go-live support.
 </li>
 <li>
 Proven ability to manage project teams, coordinate deliverables, and mentor junior consultants.
 </li>
 <li>
 Experience with system integrations within CLM platforms (e.g., SSO, eSignature, ServiceNow, Salesforce)
 </li>
 <li>
 In-depth knowledge of contract management processes, template rationalization, playbook creation, and process harmonization.
 </li>
 <li>
 Experience implementing and driving value from advanced AI modules, including agentic and autonomous capabilities, within major CLM platforms.
 </li>
 <li>
 Familiarity with vendor selection processes, including RFP/RFI development, evaluation criteria, and comparative analysis of CLM platforms.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to resolve complex business and technical challenges and develop innovative solutions.
 </li>
 <li>
 Excellent client-facing, verbal, and written communication skills, including experience presenting to executive stakeholders.
 </li>
 <li>
 Strong project management and organizational skills, with a relentless focus on quality and timely delivery of work products.
 </li>
 <li>
 Ability to work collaboratively within a matrixed, multi-disciplinary team and across multiple time zones.
 </li>
 <li>
 Ability to perform job responsibilities within a hybrid work model that requires professionals to co-locate in person 2-3 days per week in respective office locations.
 </li>
 <li>
 Willingness to travel for client engagements as required.
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Experience supporting legal teams or procurement teams with contract management
 </li>
 <li>
 Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others
 </li>
 <li>
 One of the following active accreditations obtained, in process, or willing and able to obtain:
 </li>
 <li>
 Licensed CPA in state of practice/primary office if eligible to sit for the CPA
 </li>
 <li>
 If not CPA eligible:
 </li>
 <ul>
 <li>
 Licensed Attorney (or foreign equivalent)
 </li>
 <li>
 Enrolled Agent
 </li>
 <li>
 PMP (Project Management Certification)
 </li>
 <li>
 Contract &amp; Commercial Management (CCM) Certification Program
 </li>
 <li>
 Certified Financial Analyst (CFA)
 </li>
 <li>
 PMI Agile Certified Practitioner (Project Management Institute-ACP)
 </li>
 <li>
 Certified Change Management Professional (CCMP)
 </li>
 <li>
 Certified Business Analysis Professional (CBAP)
 </li>
 <li>
 Procurement/Legal Procurement or SAS&reg; Certified Data Scientist
 </li>
 <li>
 Paralegal Certification with a 4-year degree
 </li>
 <li>
 Technical Certifications:
 </li>
 <ul>
 <li>
 Six Sigma (Black Belt and Green Belt)
 </li>
 <li>
 Microsoft Certified Solutions Developer (MCSD) Contract &amp; Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP)
 </li>
 <li>
 Certified Systems Engineering Professional (CSEP)
 </li>
 <li>
 The Information Systems Security
 </li>
 <li>
 Architecture Professional (CISSP-ISSAP)
 </li>
 <li>
 Certified Change Management Professional (CCMP) or SAS&reg; Certified Data Scientist
 </li>
 <li>
 DocuSign (Workflow Manager, E-signature, CLM, etc.)
 </li>
 <li>
 iCertis
 </li>
 <li>
 Onit Product Suite (Level 2 and above)
 </li>
 <li>
 Conga CLM
 </li>
 <li>
 Agiloft
 </li>
 <li>
 Sirion Labs
 </li>
 <li>
 Kira
 </li>
 <li>
 Thomson Reuters (Legal Tracker, High Q, or Contract Express),
 </li>
 <li>
 Wolters Kluwer Passport (Passport Legal Spend and Matter Management),
 </li>
 <li>
 Mitratech Team Connect and TAP
 
 </li>
 </ul>
 </ul>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 318197
</div>

Senior Consultant - Tax-TTC- Sirion - Hyderabad/Bengaluru/Gurugram/Pune/Chennai/Mumbai/Kolkata

Saint-Gobain Research India

<div>
 
 Job description: Research Engineer 3 for Magnetron coating
 
 
 
 
 Summary
 
 
 
 Saint Gobain, a global leader in construction material business, is looking for young engineer with PhD with 3-5 years of experience in Material science engineering /Physics /Solid State Chemistry. Candidate should have experience in vacuum deposition techniques, characterization of thin film. The role will be to design new product and develop competencies to check robustness of the products.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Responsible for magnetron product development related activities at Saint-Gobain Research India
 </li>
 <li>
 Optical thin film characterization and modelling
 </li>
 <li>
 Carry out projects independently or in collaboration with competency teams, universities, or research organization to develop understanding of deposition condition vs material-property correlation and overall impact on multi-layer thin film
 </li>
 <li>
 Develop techniques for evaluating performance such as chemical, mechanical durability of thin film
 </li>
 <li>
 Support competency teams/PLs in NPD projects, different studies etc.
 </li>
 <li>
 Participate in lab activities and implementation of 5S
 
 
 </li>
 </ul>
 
 Desired Skills And Experience
 
 
 
 <ul>
 <li>
 PhD in Material Science Engg/ Physics/solid-state chemistry with 3-5 years of experience
 </li>
 <li>
 Understanding of vacuum plasma deposition processes, optical materials, multilayer material characterization, will be advantageous
 </li>
 <li>
 Experience in solid state chemistry of thin film is desirable
 </li>
 <li>
 Global mindset, ability to work with cross functional teams and closely working with competency teams
 </li>
 <li>
 Willing to travel on need basis to manufacturing plants and R&amp;D centers across the globe (upto 30%)
 </li>
 </ul>
</div>

Research Engineer 3/ Senior Research Engineer 1

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