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Senior Data Scientist Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 5–9 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

Data Scientist

RC-PROCESS And CONTROLS-Analytics-Senior (Alteryx)At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.     EY- Consulting – Senior – Data Analyst The opportunityWe’re looking for data analyst with expertise in Data Analytics for our rapidly growing Internal Audit practice within EY GDS Consulting across multiple levels and locations. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. There are exciting opportunities to build an enriching career! Come join us if you are: <ul><li>Interested in helping major global clients transform while recommending solutions to some of the most pressing business challenges and process inefficiencies</li><li>Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand</li><li>Looking for a career opportunity in Gurgaon</li></ul> Your key responsibilities Preferred Qualifications<ul><li>Graduate/Postgraduate in Engineering/ Statistics/ Mathematics or any other quantitative field</li><li>Understand business requirements in BI context and design data models to transform raw data into meaningful insights</li><li>3+ years of work experience on Alteryx, SQL and Tableau.</li><li>Good to have skill – Power BI, Python</li><li>Utilize Alteryx to design and implement data workflows that prepare, cleanse, and transform data from various sources for analysis.</li><li>Write and optimize complex SQL queries to extract, manipulate, and analyse data from relational databases, ensuring data integrity and performance.</li><li>Develop and maintain interactive dashboards and reports using Tableau, translating complex data sets into clear, actionable insights for stakeholders.</li><li>Collaborate with business stakeholders to gather requirements, understand data needs, and translate them into effective analytical solutions.</li><li>Provide guidance and mentorship to junior analysts and team members, promoting best practices in data analysis, Alteryx, SQL, and Tableau.</li><li>Monitor and optimize the performance of data workflows and Tableau dashboards, ensuring efficient data processing and visualization.</li><li>Self-motivated with the ability to thrive in a dynamic team environment, work across organizational departments and instill confidence with the client through work quality, time management, organizational skills, and responsiveness</li><li>Demonstrated ability to manage competing priorities while working collaboratively with customers and stakeholders</li><li>Understanding on ERM or standard business process knowledge around procure to pay, order to cash, inventory, journal entries etc. will be a plus</li><li>Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non-data-science background stakeholders</li><li>Comfortable dealing with ambiguity and competing objectives</li></ul> Client Management<ul><li>Understand the client’s business &amp; related industry issues / trends.</li><li>Develop strong working relationships with the client and onshore client teams</li><li>Maintain excellent rapport and proactive communication with the client</li></ul> Market Leadership<ul><li>Participate / support business development initiatives.</li><li>Support multiple innovation initiatives to enhance existing solutions leveraging technologies like PowerApps, Power Automate, Advanced Analytics.</li><li>Support the practice in developing thought leadership content and other innovation initiatives from time to time.   </li></ul>Quality delivery <ul><li>Independently execute assignments, where required</li><li>Manage multiple assignments and related project teams.</li><li>Meet quality guidelines within the established turnaround time (or allotted budget) for assigned requests.</li><li>Constantly monitor project progress, manage risk and verify key stakeholders are kept informed about progress and expected outcomes.</li><li>Demonstrate application and solution-based approach to problem solving while executing client engagements and documenting working papers. </li><li>Anticipate and identify engagement related risks and escalate issues as appropriate on a timely basis.</li><li>Identify process gaps and accordingly provide recommendation in areas requiring improvement based on the client's business process and industry practice. </li><li>Mentor and coach junior team members, enabling them to meet their performance goals and successfully grow their careers.  </li></ul> Operational<ul><li>Ensure compliance with risk management strategies, plans and activities of the firm. </li><li>Manage the engagement budgets and support superiors in developing marketing collaterals, business proposals and new solution / methodology development.</li><li>Supporting the engagement manager in planning and scheduling optimum staff levels for engagements.  </li></ul> Skills and attributes for success<ul><li>Exceptional command on spoken and written English </li><li>Globally mobile and flexible to travel to onsite locations</li><li>Highly analytical, organized and meticulous consulting skills</li><li>Proficient in MS-Office Suite, data analysis &amp; validation</li><li>Team player with strong interpersonal skills</li><li>Ability to prioritize deliverables effectively in order to achieve optimum results.</li></ul> Ideally, you’ll also have<ul><li>Strong project management skills</li><li>Problem solving skills</li><li>Ability to think differently and innovate</li></ul> What we look for<ul><li>A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment</li><li>Opportunities to work with EY Enterprise Risk Analytics team with leading businesses across a range of industries</li></ul> What working at EY offersAt EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:<ul><li>Support, coaching and feedback from some of the most engaging colleagues around</li><li>Opportunities to develop new skills and progress your career</li><li>The freedom and flexibility to handle your role in a way that’s right for you</li></ul>  EY | Building a better working world    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.     Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.     Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  <h4>Experience Level</h4>Senior Level

Ernst & Young LLP ( EY India )

Data Analyst

Data Engineer We are looking for immediate joiners who are open to working in a hybrid modelExperience - 6-8 years with MS Fabric experience Share your updated resume now.

Accion labs india pvt ltd

Data Engineer

Data Scientist Responsibilities:<ul><li>Data Analysis and Modeling:</li><li>Utilize advanced statistical methods and deep learning/machine learning techniques to analyse large datasets and extract valuable insights.</li><li>Develop predictive models and algorithms to support business decision- making.</li><li>Domain Expertise:</li><li>Demonstrate expertise in the Biometrics domain or similar industry, understanding the nuances of data and business requirements.</li><li>Apply data science techniques to address specific challenges within the domain.</li><li>Feature Engineering and Data Preprocessing:</li><li>Conduct effective feature engineering and data preprocessing to ensure high- quality input for machine learning models</li><li>Good Knowledge of object detection and computer vision is required.</li><li>Work with real-world data to derive meaningful features for analysis.</li><li>Coding Proficiency:</li><li>Exhibit strong programming skills in languages such as Python, R, or similar.</li><li>Should have working knowledge of developing REST API’s and frameworks like Flask/FastAPI.</li><li>Implement and deploy machine learning models, and contribute to codebase maintenance.</li><li>Must have knowledge of deep learning model training, evaluation and understanding of model inferencing.</li><li>Collaboration:</li><li>Collaborate with cross-functional teams to define data requirements and deliver solutions that meet business objectives.</li><li>Communicate findings and insights to both technical and non-technical stakeholders.</li><li>Model Evaluation and Optimization:</li><li>Evaluate model performance using appropriate metrics and iterate models for continuous improvement.</li><li>Optimise/quantize models for scalability and efficiency in real-world applications eg. edge devices.</li><li>Cloud and Big Data Technologies:</li><li>Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies for efficient data processing and analysis.</li><li>Version Control:</li><li>Utilize version control systems (e.g., Git/Gitlab) to manage and track changes in code and models</li></ul> Qualifications:<ul><li>Bachelors/Master’s or Ph.D. in a relevant quantitative field such as Computer Science, Statistics, or Data Science.</li><li>Overall 3+ years of industry work experience in computer vision, object detection, pattern recognition, artificial intelligence, automation, and/or vision processing.</li><li>3+ years of relevant experience as a CV Engineer, Data Scientist, Machine Learning Engineer, or related role.</li><li>Experience with common languages (e.g., Python, SQL) and tools (e.g., TensorFlow, PyTorch, distributed training / inference) on premise or cloud.</li><li>Knowledge of CUDA, OpenCV, Model Training on multiple GPUs.</li><li>Proficient in at least one of: PyTorch (Preferable), TensorFlow and Keras</li><li>Coding experience in programming Languages: Python (must), C++</li><li>Knowledge of text detection &amp; OCR, human / face detection, generative</li><li>models, video analytics, model compression / optimization.</li><li>Very good understanding and knowledge of Statistical and ML/DL Concepts:</li><li>Statistics</li><li>Computer Vision</li><li>Regression/ Classification and Unsupervised Approaches</li><li>Model Training, Deployment and Evaluation</li><li>Ensemble approaches</li><li>Evaluation techniques</li><li>Familiarity with various operating systems (e.g. Windows, UNIX) and databases (e.g. MySQL,NoSQL)</li><li>Good team player and excellent written and verbal technical communication skills</li><li>Experience with cloud platforms(AWS,GCP,Azure) and big data technologies is a plus.</li><li>&nbsp;Experience with Docker, Kubernetes, Airflow/MLFlow is good to have.</li></ul> Experience: <ul><li>6+ years</li></ul>

BioQube

Tableau Developer If you are passionate about turning data into impactful business insights and have experience with 𝐓𝐚𝐛𝐥𝐞𝐚𝐮, 𝐒𝐐𝐋, 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬, 𝐚𝐧𝐝 𝐩𝐡𝐚𝐫𝐦𝐚 𝐝𝐨𝐦𝐚𝐢𝐧 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, this could be the right opportunity for you. 𝐑𝐨𝐥𝐞 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬•	Develop and optimize Tableau dashboards &amp; visualizations•	Collaborate with stakeholders to design analytical solutions•	Work with cross-functional teams to align on data models &amp; pipelines•	Mentor junior developers and enforce best practices 𝐖𝐡𝐚𝐭 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫•	3–7 years of Tableau development experience•	Strong SQL &amp; data modeling expertise•	Hands-on with advanced Tableau features (LOD, parameters, actions, etc.)•	Pharma domain knowledge (preferred) Share your updated resume now.

ZS Associates India Private Limited

VP-AI Key Responsibilities<ul><li>ML Model Development: Lead the design, development, and deployment of machine learning models, specifically in the context of biometric identity verification.</li><li>Innovation and Research: Stay abreast of the latest advancements in AI and computer vision technologies. Drive innovation by exploring and implementing state-of-the-art solutions in the&nbsp;realm of biometrics.</li><li>Solution Design &amp; Deployment: Lead the design and architecture of AI solutions, ensuring alignment with business objectives. Collaborate with cross-functional teams to create robust, accurate &amp; scalable solutions for image and video analytics, data analytics, large scale biometric matching processing.</li><li>Guidance and Mentorship: Provide technical leadership to the data science team, offering guidance and mentorship to ensure the highest standards of performance and continuous skill development. Effectively delegate tasks to junior team members, providing guidance and mentorship. Foster a collaborative team environment and ensure the timely delivery of highquality solutions.</li><li>Collaboration: Work closely with other departments, such as software engineering and product management, to integrate machine learning solutions seamlessly into our products and services.</li><li>Communication: Clearly communicate complex technical concepts to both technical and non-technical stakeholders. Collaborate with other departments to gather requirements and provide insights.</li></ul> QualificationsBiometric &amp; Identity Domain Expertise (Must):• Demonstrate a strong understanding of face, voice, liveness, contactless biometrics, and stay abreast of the latest advancements in the field.• Leverage expertise to develop innovative and effective solutions for biometric applications.• Project experiences and hands on experience is must to have. Computer Vision and Deep Learning:• Proven experience (at least 8 years) in designing, developing, and deploying machine learning &amp; deep learning models, with a focus on large-scale implementations.• Possess in-depth knowledge and hands-on experience in object detection, computer vision, and deep learning techniques.• In depth knowledge of YOLO, CNN, their architectures and significance.• Design, implement, and optimise (existing/new) advanced algorithms for image and video analysis. Work Experience:• Showcase a proven track record of successful projects in the biometrics and computer vision, image processing, and video analytics domains.• Provide examples of implementing machine learning models and solutions in real-world applications. Experience in video analytics and big data analytics is required.• Scaling, Performance, and ensuring High-Availability &amp; Quality of the products.• Driving code reviews, design reviews, and architecture discussions. Coding Proficiency:<ul><li>Exhibit strong coding skills in languages such as Python, and proficiency in utilizing machine learning libraries and frameworks TensorFlow, PyTorch, or similar.</li><li>Having knowledge of REST APIs and frameworks like FastAPI/Flask.</li><li>Good knowledge in CI/CD pipelines, MLOps &amp; AIOps implementations using Airflow, Docker.</li><li>Actively participate in coding tasks &amp; guide team members in implementing algorithms &amp; models.</li><li>Excellent problem-solving skills and the ability to think critically about complex technical challenges.</li><li>Strong communication skills and the ability to convey complex technical concepts to both technical and non- technical stakeholders.</li><li>Proven leadership and mentorship experience.</li></ul> Experience: <ul><li>8+ years</li></ul>

Data Scientist - CareerEquifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.This position allows the successful incumbent to develop deep technical and broad commercial skills by being exposed to, and working on a wide variety of internal projects.  Working as part of a large, sophisticated analytics team, this role will be required to: • Manipulate and analyse data for the development and validation of predictive models in the areas of credit risk, demographics, marketing, fraud and ratings, in distributed computing environment • Monitor Equifax’s cutting edge scorecards and risk tools • Create business case and analytic insight materials that show the value of predictive modelling and visualise the insights • Conduct ad hoc queries such as bureau insights, testing solutions • Lead small projects and quality check own and others’ outputs guide junior data scientists • Maintain documentation that supports Analytics platform of databases, data products and analytical solutions. What You’ll Do:Project Leadership / Mentoring<ul><li>Mentor Analysts through development process</li><li>Driving a focus on learning so that the team benefits from your coaching and other learning events that contribute to improved performance.</li><li>Develop and maintain a network of influence.</li><li>Demonstrate leadership by example.</li></ul>Data Analysis<ul><li>Leading statistical and data analysis, sometimes as project team leader.</li><li>Demonstrate analytic leadership in the approaches used and proactively provide technical guidance and support to analysts.</li><li>Demonstrate a high level of skill in programming required to perform analysis such as demonstrated experience with SQL, R, Python and Tableau on Cloud environments such as GCP or equivalent. Process and analyse large volumes of data in the development of insights.</li><li>Prepare documentation for all work, to ensure that an audit trail is sufficient for a colleague to be able to quality review and/or repeat your analysis.</li><li>Quality check your own and other analyst work output to ensure error-free delivery of information and analysis.</li><li>Develop extensive repertoire of analytical methodologies and techniques for investigating data relationships and insights</li><li>Adhere to Equifax project management standards and effective use of project management resources (methodology, templates, time recording systems and project office).</li></ul>Product and Service<ul><li>Contributing to analytic roadmap, product development and innovation </li><li>Develop a detailed understanding of the full product and service offering available through Equifax as well as the market dynamics and requirements within the data driven marketing space.</li><li>Proactively use this understanding to work with the team and stakeholders to enhance and expand Equifax’s data and insights assets.</li></ul> What experience you need<ul><li>BS degree in a STEM major or equivalent discipline</li><li>5-7 years of experience in a related analytical role</li><li>Proven track record of designing and developing predictive models in real-world applications</li><li>Experience with model performance evaluation and predictive model optimization for accuracy and efficiency</li><li>Cloud certification strongly preferred</li><li>Additional role-based certifications may be required depending upon region/BU requirements</li></ul>Process Improvement and Efficiencie​<ul><li>Drive transition to more advanced modelling environments, utilising distributed computing and methodologies such as machine learning</li><li>Demonstrate an understanding of business needs, making recommendations relating to new or improved data and insights assets.</li><li>Supporting the other teams within the Analytics function by working with them to improve processes as needed.</li></ul>Systems and Processes<ul><li>Develop a detailed understanding of Equifax databases, data structures and core data analysis procedures, as well as maximising output through a Hadoop based file system.</li><li>Develop understanding of best practice model management framework to ensure Equifax’s models remain optimal in terms of performance and stability</li><li>Develop familiarity with Equifax’s documented project management methodology and resources (templates, time recording system, work scheduling etc.).</li></ul> What could set you apart<ul><li>Passion for data science, data mining, machine learning and experience with big data architectures and methods</li><li>A Master's degree in a quantitative field (Statistics, Mathematics, Economics)</li><li>Cloud certification such as GCP strongly preferred</li><li>Self Starter</li><li>Excellent communicator / Client Facing</li><li>Ability to work in fast paced environment</li><li>Flexibility work across A/NZ time zones based on project needs</li></ul>We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Primary Location: IND-Pune-Equifax Analytics-PECFunction: Function - Data and AnalyticsSchedule: Full time

Equifax Credit Information Services Pvt Ltd

Lead Data Engineer - Vice PresidentJob Summary:We are seeking a skilled and experienced Data Engineer to join our team. The ideal candidate will have expertise in Snowflake or Big Data platforms and a strong background in RDBMS skills like Oracle PL/SQL. You will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and optimizing database and data platform performance. This role requires a deep understanding of modern data engineering workflows, ETL processes, and database systems.Key Responsibilities:Data Engineering:<ul><li>Design, develop, and maintain scalable and efficient data pipelines to support business needs.</li><li>Implement ETL/ELT processes to extract, transform, and load data from various sources into Snowflake, Big Data platforms, or RDBMS systems.</li><li>Optimize data workflows for performance, scalability, and reliability.</li></ul>Snowflake or Big Data Platforms:<ul><li>For Snowflake:<ul><li>Design and implement data models in Snowflake to support analytical and reporting needs.</li><li>Develop and optimize Snowflake queries, stored procedures, and user-defined functions.</li><li>Manage Snowflake data sharing, security, and access control.</li></ul></li><li>For Big Data Platforms:<ul><li>Work with Big Data technologies such as Hadoop, Spark, Hive, or HDFS to process and analyze large datasets.</li><li>Develop distributed data processing pipelines using Spark (PySpark)</li><li>Optimize Big Data workflows for performance and scalability.</li></ul></li></ul>RDBMS Skills (Oracle PL/SQL):<ul><li>Write, debug, and optimize complex PL/SQL scripts, stored procedures, functions, and triggers.</li><li>Perform database performance tuning, query optimization, and troubleshooting in Oracle.</li><li>Design and implement database objects such as tables, views, indexes, and constraints.</li></ul>Data Integration:<ul><li>Integrate data from multiple sources, including APIs, flat files, and third-party systems.</li><li>Collaborate with data analysts, data scientists, and business teams to understand data requirements.</li></ul>Data Quality and Governance:<ul><li>Ensure data accuracy, consistency, and integrity across systems.</li><li>Implement data validation and error-handling mechanisms.</li></ul>Collaboration and Documentation:<ul><li>Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Document data pipelines, database designs, and processes for future reference.</li></ul>Required Skills and Qualifications:<ul><li>Technical Expertise:<ul><li>Expertise in Snowflake or Big Data platforms:<ul><li>Snowflake: Hands-on experience with Snowflake data warehousing, data modeling, and query optimization.</li><li>Big Data Platforms: Experience with Hadoop, Spark (PySpark), Hive, or HDFS for distributed data processing.</li></ul></li><li>Strong experience in RDBMS skills, particularly Oracle PL/SQL, including stored procedures, functions, triggers, and performance tuning.</li><li>Proficiency in SQL and database design principles.</li><li>Experience with ETL/ELT tools</li></ul></li><li>Programming Skills:<ul><li>Proficiency in scripting languages such as Python and Shell scripting for data processing and automation.</li></ul></li><li>Data Governance:<ul><li>Knowledge of data quality, data governance, and data security best practices.</li></ul></li><li>Soft Skills:<ul><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work in a fast-paced, dynamic environment.</li></ul></li></ul>Preferred Qualifications:<ul><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of CI/CD pipelines for database deployments or Big Data workflows.</li><li>Familiarity with real-time data processing tools (e.g., Kafka, Flink, or Storm).</li><li>Certification in Snowflake, Oracle databases, or Big Data technologies is a plus.</li><li>Knowledge of NO SQL ( either Mongo or Neo4J )</li></ul>------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family:Applications Development------------------------------------------------------Time Type:Full time------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review <a href="https://www.citigroup.com/citi/accessibility/application-accessibility.htm" rel="noopener noreferrer" target="_blank">Accessibility at Citi</a>. View Citi’s <a href="https://www.citigroup.com/global/eeo-aa-policy" rel="noopener noreferrer" target="_blank">EEO Policy Statement</a> and the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer" target="_blank">Know Your Rights</a> poster.<h4>Experience Level</h4>Senior Level

Citi Bank

Principal Engineer - Data Science<h4>Company:</h4>MMC Corporate<h4>Description:</h4>We are seeking a talented individual to join our CIS team at Marsh McLennan. This role will be based in Pune/Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.Principal Engineer - Data ScienceWe will count on you to:<ul><li>Design and implement machine learning pipelines that curate datasets, train, test, and validate models, and deploy them into production.</li><li>Utilize LLMs and Generative AI techniques to enhance data analysis, natural language processing, and predictive modeling capabilities.</li><li>Apply supervised, unsupervised, and deep learning techniques to address business challenges, including the development of recommendation engines and scoring systems.</li><li>Conduct A/B testing and utilize statistical techniques to evaluate model performance and improve outcomes.</li><li>Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and processes.</li><li>Proficient in model building using R or Python, with a strong focus on data mining and leveraging large datasets.</li><li>Demonstrated ability to design and build machine learning pipelines, including model training, validation, and deployment.</li><li>Deep understanding of statistical and machine learning modeling, with experience applying these techniques to real-world business problems.</li></ul>What you need to have:<ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science</li><li>Minimum of 3+ years of experience in data science</li></ul><ul><li>Hands-on experience with analytics and big data technologies, particularly within Microsoft Azure, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.</li><li>Working knowledge of machine learning frameworks and tools such as scikit-learn, TensorFlow, PyTorch, and ONNX.</li><li>Experience with LLMs and Generative AI frameworks, including fine-tuning and deploying models for specific applications.</li><li>Experience with cloud service machine learning platforms, preferably Azure, and setting up data and experimental platforms.</li><li>Extensive knowledge of model management, ideally using Azure ML service and/or ML Flow, as well as deployment using Azure Kubernetes Service.</li></ul>What makes you stand out:<ul><li>Excellent verbal and written communication skills, comfortable interfacing with business users</li><li>Good troubleshooting and technical skills</li><li>Able to work independently</li></ul>Why join our team:<ul><li>We help you be your best through professional development opportunities, interesting work and supportive leaders.</li><li>We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.</li><li>Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.</li></ul>Marsh McLennan﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿ (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿ and Oliver Wyman﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿, or follow on ﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿LinkedIn﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿﻿ and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.<h4>Experience Level</h4>Senior Level

Marsh McLennan

Data Scientist We are Hiring- Data ScientistExperience- 5 to 8 yearsNotice Period- Immediate to 30 days Required Skills and Experience<ul><li>Python, Django ,RestApis, GCP</li><li>Maintain and improve production algorithms; triage and fix bugs; add regression tests</li><li>Profile and optimize code (CPU/memory/I/O); apply parallelism/concurrency where relevant</li><li>Design and maintain REST APIs (Django/DRF or FastAPI) for model/algorithm services</li><li>Test for efficiency and scalability; benchmark latency/throughput; right-size costs</li><li>Ensure high code quality: unit/integration tests, type hints, CI/CD, documentation</li><li>Collaborate with&nbsp;product/data/QA to prioritize improvements and meet SLAs</li></ul> Apply now by sending your CV and be a part of LTIMindtree.

LTIMindtree

Senior Associate Data Science We are seeking a highly skilled senior data scientist to join our team. The ideal candidate will possess both technical and client presentation skills, and will be responsible for leading complex data projects and communicating insights to clients. Responsibilities:- Lead the development and implementation of data-driven solutions for clients- Collaborate with clients to understand their business needs and develop solutions to meet those needs- Develop statistical models and algorithms to analyze complex data sets- Analyze and interpret data to identify patterns and trends- Communicate insights and findings to clients in a clear and concise manner- Mentor and train junior data scientists on technical and client presentation skills- Stay up-to-date with the latest industry trends and technologies in data science and analytics Qualifications:- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field- 3+ years of experience in data science or analytics- Strong programming skills in Python and SQL- Experience with data visualization tools such as Tableau or PowerBI&nbsp;or QlikView would be an added benefit- Experience with SQL and relational databases- Strong client presentation and communication skills- Ability to lead a team and work collaboratively with other departments- Strong problem-solving skills and attention to detail If you possess these qualifications and are interested in a challenging and rewarding career in data science, we encourage you to apply for this position. We offer competitive compensation and benefits packages, as well as opportunities for career advancement and professional development. Job Requirement- Advanced statistical analysis: A senior data scientist should have a deep understanding of statistical concepts and techniques and be able to apply them to real-world problems.- Machine learning: A senior data scientist should have a strong background in machine learning techniques and be able to develop and deploy predictive models.- Data wrangling: A senior data scientist should have expertise in collecting, cleaning, and organizing large and complex data sets.- Programming skills: A senior data scientist should be proficient in programming languages such as Python, R, and SQL and be able to develop scalable and maintainable code.- Data visualization: A senior data scientist should be able to create compelling visualizations and reports that effectively communicate insights to stakeholders.- Business acumen: A senior data scientist should have a strong understanding of business operations and be able to develop data-driven solutions that align with organizational goals.- Communication skills: A senior data scientist should be able to communicate complex technical concepts to both technical and non-technical audiences.- Leadership skills: A senior data scientist should be able to lead a team of data scientists and work collaboratively with other departments to develop and implement data-driven solutions.- Project management: A senior data scientist should be able to manage complex data projects from start to finish, including scoping, planning, execution, and delivery.- Continuous learning: A senior data scientist should have a passion for continuous learning and be able to stay up-to-date with the latest advancements in data science and analytics.

Capillary Technologies India Pvt Ltd

Data Science Intern

Manager - Business AnalyticsJob title: Manager - Business Analytics<ul><li>Location: Hyderabad</li><li>% of travel expected: Travel required as per business need, if any</li><li>Job type: Permanent and Full time </li></ul>About the jobOur Team:Sanofi Global Hub (SGH) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&amp;D, Data &amp; Digital functions​. SGH strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations​ in Sanofi, Globally.Main responsibilities:The overall purpose and main responsibilities are listed below:<ul><li>At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world’s greatest health threats.</li><li>Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.</li><li>Deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial.</li><li>In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavour, we are seeking a dynamic talent for the role of “Manager – Business Analytics”</li><li>We are looking for a team member to support our analytics team based out of US. Robust analytics is a priority for our businesses, as the product potential has major implications to a wide range of disciplines.</li><li>It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation across different franchises.</li><li>People:<ul><li>Maintain effective relationship with the end stakeholders within the allocated GBU and tasks – with an end objective to develop education and communication content as per requirement</li><li>Actively lead and develop SGH operations associates and ensure new technologies are leveraged</li><li>Initiate the contracting process and related documents within defined timelines; and</li><li>Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget</li><li>Performance indicators: Feedback from (end stakeholders) on overall satisfaction</li><li>Weightage: 20%</li></ul></li><li>Performance:<ul><li>Refresh Existing Reports and identifies improvement opportunities in reporting and BI tools and as needed structure / functionality with the latest insights as they become available</li><li>Create dashboards to synthesize and visualize key information and enable business decisions</li><li>Works to develop deal tracking analytics and reporting capabilities</li><li>Collaborates with Digital to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity</li><li>Contribute to evolving our offerings and improving efficiency of repeated /routine processes through standardization/ automation of various offerings, models, and processes</li><li>Proactively conduct rationalization of reports to avoid data redundancies and free up capacity to work on new initiatives/projects</li><li>Synthesis of data and insights by collaborating/gathering inputs from colleagues in other functions such as Market Research, Brand Analytics, Marketing, Finance, Market Access, Medical, etc.</li><li>Provide quarterly utilization metrics of reports produced via usage metrics available in Power BI or other methods for reports outside of BI framework</li><li>Assist development and maintenance of KPI reports for the field/commercial team, covering Marketing and other related functions, and access appropriate information via a variety of tools and sources</li><li>Create dashboards to synthesize and visualize key information and enable business decisions</li><li>Develop a deep understanding of internal customers' data and analytical needs focusing on the customer-facing model</li><li>Monitor the external environment to stay up to date on the latest therapeutic area research and clinical development, as well as competitor landscape, and summarize and present findings through various communication channels</li><li>Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modelling capabilities, etc.)</li><li>Create robust data analysis models taking into consideration key data, insights, trends, and assumptions around patient flow, market dynamics, competitive landscape, payer mix, supply chain inventory fluctuation, etc.</li><li>Evaluate and determine the optimal method(s) for data analysis, considering the context of the data, availability of data, the degree of accuracy required for the process/decision-making, and the timeline available</li><li>Contribute to evolving our offerings and improving efficiency of repeated /routine processes through standardization/ automation of various offerings, models, and processes</li><li>Assess existing forecast models, identify, and prioritize areas for improvement to iteratively improve function over time, if required</li><li>Refresh model assumptions and as needed structure / functionality with the latest insights as they become available</li><li>Conduct sensitivity analyses and evaluate alternative scenarios to assist in opportunity identification and risk management</li><li>Coordinate with Insight team assisting commercial /brand team leadership in key activities, such as brand planning, performance reviews, new indication launches, and assessment of new initiatives</li><li>Coordinate with Insights team to develop and measure KPIs associated with brand strategy and tactics</li><li>Assist development and maintenance of KPI reports for the commercial team, covering Global Marketing, Country Affiliates, and Market Access functions</li><li>Perform ad-hoc national and sub-national analyses to proactively identify areas of opportunities and threats</li><li>Create dashboards to synthesize and visualize key information and enable business decisions</li><li>Ensure objectivity of brand/therapeutic area of internal and external opportunities through establishing objectives aligned around data analysis accuracy</li><li>Access appropriate information via a variety of tools and sources</li><li>Summarize and present findings through various communication channels</li><li>Performance indicators: Adherence to timeline, quality target</li><li>Weightage: 50%</li></ul></li><li>Process:<ul><li>Support delivery of projects in terms of resourcing, coordination, quality, timeliness, efficiency, and high technical standards for deliveries made by the medical/ field writing group, including scientific documents and clinical/medical reports</li><li>Contribute to overall quality enhancement by ensuring high scientific standards for the output produced by the medical/ field writing group; and</li><li>Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards</li><li>Refresh report on frequency/cycle basis (weekly/monthly/quarterly/annually), along with QC checks for each refresh</li><li>Use latest tools/technologies/methodologies and partner with internal teams to provide support on all sort of regular and adhoc business analytics activities like build, maintenance, and enhancements of such systems</li><li>Ability to work cross-functionally, gather requirements, analyse data, and generate insights and reports that can be used by the GBU</li><li>Work collaboratively with the stakeholder teams to prioritize work and deliver on time-sensitive requests</li><li>Be able to provide and defend gathered intelligence, methodology, content, and conclusions to the global leadership in a clear, concise format</li><li>Performance indicators: Feedback from stakeholders on satisfaction with deliverables Adherence to plan/calendar</li><li>Weightage: 25%</li></ul></li><li>Stakeholder:<ul><li>Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of the designated publication/medical education deliverables</li><li>Ability to work cross-functionally, gather requirements, analyse data, and generate insights and reports that can be used by the GBU</li><li>Performance indicators: Feedback from stakeholders on satisfaction with deliverables</li><li>Weightage: 5%</li></ul></li></ul>About you<ul><li>Experience:<ul><li>8+ years of experience in pharmaceutical product commercial analytics and reporting. In-depth knowledge of common databases like IQVIA, APLD, Engagement and execution data, etc.</li><li>Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques.</li><li>People management experience by recruiting, selecting, orienting, and training associates; conflicts or complaints resolving ability from stakeholders and associates.</li><li>Supervising project activities and ensuring it is properly provisioned and staffed.</li></ul></li><li>Soft skills: Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques</li><li>Technical skills:<ul><li>Exposure/sound understanding of advanced analytics techniques like Agent based and dynamic transmission model</li><li>Proficient of programming languages (e.g. SQL, SAS, Python, R, VBA)</li><li>Experience using analytical platforms (e.g. Databricks, Jupyter Notebook, SQL developers, etc)</li><li>Proficient with pharmaceutical and commercial data sources and/or CRM data systems (e.g. IQVIA, Symphony, Komodo, Veeva, Salesforce)</li><li>Experience of using analytical tools like Power BI, Qliksense, Tableau, Smartsheet, and Alteryx etc;</li><li>Expert knowledge of Excel and proficiency in VBA</li><li>Experience of developing and managing dashboards</li><li>Project management abilities; capable of prioritizing and handling multiple projects simultaneously</li><li>An aptitude for problem solving and strategic thinking and ensuring high quality data output with strong quality assurance</li><li>Ability to synthesize complex information into clear and actionable insights</li><li>Proven ability to work effectively across all levels of stakeholders and diverse functions</li><li>Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions</li><li>Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques</li></ul></li><li>Education: Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters)</li><li>Languages: Excellent knowledge in English and strong communication skills – written and spoken</li><li>Other Requirement: Required to align to US EST work schedule to engage global insights and brand teams; This role is a sole contributor focused on development, delivery and communication of insights</li></ul><h4>Pursue progress, discover extraordinary</h4>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Watch our <a href="https://www.youtube.com/watch?v=SkpDBZ-CJKw&amp;t=67s" rel="noopener noreferrer" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" rel="noopener noreferrer" target="_blank">sanofi.com</a>!<h4>Experience Level</h4>Mid Level

Sanofi India Ltd

Manager Marketing

Lead - Data ScienceEquifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.What you’ll doLead and conduct independent validations of AI/ML models(traditional and Generative AI)  across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, and AML. Ensure the accuracy, reliability, and compliance of models by overseeing and conducting thorough validations.Drive AI validation projects by conceptualizing, planning, and executing them to ensure their successful implementation and alignment with organizational goals.Engage with various departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment.Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards. Stay updated on the evolving regulatory landscape around AI and MLMentor and develop team members, fostering a culture of collaboration and building a robust, knowledgeable team.Utilize Google Cloud Platform(GCP) to enhance efficiency by automating workflows and improving process integration.Contribute to the design and execution of model testing and monitoring processes.What experience you need6+ years of model validation or Model Risk Management experience preferably within the banking and financial services domain, with a deep understanding of industry-specific requirements and challenges.Demonstrated expertise in AI techniques(Machine learning, natural language processing, deep learning) and their applications. Experience with ML libraries such as TensorFlow, Keras, PyTorch, Scikit- learn or equivalent required. Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneouslyFoundational knowledge of Generative AI, with relevant coursework. Must stay updated on latest trends and regulations in this field.Advanced level programming in Python and SQL Strong interpersonal skills with the ability to lead teams, manage client relationships, and collaborate effectively with partners.Experience collaborating with partners, stakeholders and teams across multiple geographies and levels of the organizationIn-depth knowledge of regulations surrounding AI in the banking industry and practical experience in credit risk and fraud models.Ability to articulate complex concepts clearly and effectively to diverse stakeholders, ensuring understanding across various levels of technical proficiency.Master’s degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science or other relevant discipline, demonstrating a high level of expertise and commitment to the field.What could set you apartExperience in developing, validating or implementing Gen AI modelsPrior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9First hand experience on cloud based platforms including GCP &amp; AWSExcellent communication and presentation skillsWe offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Primary Location: IND-Pune-Equifax Analytics-PECFunction: Function - Data and AnalyticsSchedule: Full time<h4>Experience Level</h4>Senior Level

Data Analyst Intern

IN_Manager_Palantir Foundary_Data and Analytics_Advisory_Chennai - Menon EternityLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:· 3+ years of experience in implementing analytical solutions using Palantir Foundry.· · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale.· · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry.· · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually.· · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry.· · At least 3 years of experience with Foundry services:· · Data Engineering with Contour and Fusion· · Dashboarding, and report development using Quiver (or Reports)· · Application development using Workshop.· · Exposure to Map and Vertex is a plus· · Palantir AIP experience will be a plus· · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry.· · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary.· · Hands-on experience in working &amp; building on Ontology (esp. demonstrable experience in building Semantic relationships).· · Proficiency in SQL, Python and PySpark. Demonstrable ability to write &amp; optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well.· · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary.· · Experience in MLOps is a plus.· · Experience in developing and managing scalable architecture &amp; working experience in managing large data sets.· · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus.· · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus.· · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview.· · Experience in developing GenAI application is a plusMandatory skill sets:· At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry.· At least 3 years of experience with Foundry servicesPreferred skill sets:Palantir FoundryYears of experience required:Experience 7 to 10 years ( 4 + years relevant)Education qualification:Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor Degree, Master DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsPalantir (Software)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 21 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Mid Level

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