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Machine Learning Engineer Coforge is seeking a Machine Learning Engineer for positions in Greater Noida, Pune, and Hyderabad with an immediate to 10-day notice period. Key Requirements:- Experience: 4–8 years in machine learning engineering, encompassing end-to-end model development and deployment.- Programming Skills: Proficiency in Python, with knowledge of ML libraries like TensorFlow, PyTorch, and Scikit-learn.- Framework Expertise: Hands-on experience with MLOps tools such as Kubeflow, Metaflow, Ray, MLflow, or Azure ML.- Cloud Platforms: Strong understanding of AWS, Azure, and GCP for deploying ML workflows.- Containerization: Proficiency in Docker and Kubernetes for containerized model deployment.- Workflow Automation: Familiarity with orchestration tools like Apache Airflow or Prefect for automating pipelines.- Data Engineering: Understanding data preparation processes, including SQL and NoSQL databases.- Version Control: Experience in data and model versioning using tools like DVC or Git.- Monitoring Tools: Knowledge of monitoring frameworks such as Prometheus, Grafana, or ELK stack for pipeline observability.- Problem-Solving: Strong analytical and debugging skills to optimize workflows and troubleshoot production issues.- Collaboration Skills: Effective communication and teamwork abilities to collaborate with cross-functional teams. Interested individuals can forward their resumes.

Coforge

Data Annotation Engineer

AI-ML Lead Engineer This job might be for you if<ul><li>You enjoy solving problems. You love taking on difficult challenges and finding creative solutions.</li><li>You don’t know the answer but will dig until you find it.</li><li>You communicate clearly. You write well.</li><li>You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference.</li><li>You can impress our customers with your enthusiasm to solve their issues (and solve them!)</li></ul> Job DescriptionAs an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities<ul><li>Collaborate with clients to understand their business processes, goals, and requirements.</li><li>Design and implement AI/ML solutions using state-of-the-art techniques and methodologies.</li><li>Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions.</li><li>Work with cross-functional teams to map AI/ML solutions to client business processes.</li><li>Perform data analysis, data preprocessing, and feature engineering as needed.</li><li>Conduct hypothesis testing, feature extraction, feature selection, cross-validation.</li><li>Develop and deploy machine learning models in a production environment.</li><li>Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation.</li><li>Communicate findings and insights effectively to both technical and non-technical stakeholders.</li><li>Ensure project deliverables meet high-quality standards and are completed on time and within budget.</li></ul> Qualifications<ul><li>Bachelor’s or master’s degree in computer science, Machine Learning, Data Science or a related field.</li><li>At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions.</li><li>Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning</li><li>Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification.</li><li>Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus.</li><li>Proficiency in programming languages such as Python or R.</li><li>Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Familiarity with MLOps is a plus</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>Strong communication and presentation skills.</li></ul>

Eximietas Design

Automation Process Engineer

Alation Expert We’re looking for exceptional professionals who’ve mastered the Alation tool — people who can turn metadata into meaning and data into business impact.If you’ve worked hands-on with Alation for data cataloging, governance, or metadata automation, we’d love to connect!Domain: Telecom Data &amp; AI Share your updated resume now.

Incedo Inc

3D Artist

Senior Manager Advanced Analytics, CS Ops & BIAirbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Analytics Center of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership &amp; economics.The ACOE's delivery framework streamlines data-driven decision-making by offering a comprehensive solution for metrics, actionable dashboards, performance optimization, impact measurement, ROI analysis, opportunity prioritization, anomaly-driven alerts, root cause diagnostics, and hypothesis testing.The Community You Will Join: Airbnb’s Community Support Analytics team focuses on ensuring world-class service for our global community of guests and hosts. As an integral part of the Analytics Center of Excellence (ACOE), the team partners closely with various product and operational teams to drive data-informed decisions that enhance customer experiences and operational efficiencies.The Difference You Will Make:As a senior manager of advanced analytics , you will lead a high-performing team tasked with delivering actionable insights, developing robust data frameworks, driving advanced analytics solutions and building self-serve dashboards. Your expertise will shape and support Community Support’s strategic goals, including reducing contact volumes, increasing first contact resolution rates, and optimizing cost-effective service delivery. <h4>Why This Role Will Be a Game-Changer:</h4>Your unique blend of technical acumen, structured experimentation expertise, and leadership capabilities will help shape Airbnb’s Community Support into a function that not only resolves issues efficiently but anticipates and prevents them at scale.<h4>Key Responsibilities:</h4><ul><li>Leadership &amp; Strategy:</li><ul><li>Lead and inspire a multidisciplinary analytics team to deliver data-driven insights for Community Support.</li><li>Develop and execute an analytics strategy to align with organizational priorities, such as reducing contact volume, increasing first contact resolution (FCR), and optimizing cost-effective service delivery.</li><li>Translate Community Support priorities into actionable data strategies to enhance customer satisfaction, operational efficiency, and proactive issue resolution.</li></ul><li>Advanced Analytics Solutions:</li><ul><li>Drive analytics frameworks across Community Support AI tools, operational processes, and ambassador interactions.</li><li>Design predictive and causal modeling techniques to identify trends, optimize resourcing, and improve service experiences.</li><li>Enhance anomaly detection capabilities and integrate predictive analytics with operational dashboards to deliver real-time insights.</li></ul><li>Collaboration:</li><ul><li>Partner across functional teams such as Product, Operations, and Data Engineering to ensure alignment of insights with business objectives.</li><li>Work closely with engineering on logging improvements, instrumentation, and scalable tools.</li></ul><li>Metrics Development:</li><ul><li>Build and oversee impactful metrics such as Net Promoter Score (NPS), Time to First Touch (TTFT), First Contact Resolution (FCR), Solves Per Day (SPD), and advanced Service Quality metrics.</li><li>Introduce models for measuring and mitigating silent suffering and other nuanced customer trends.</li></ul><li>Experimentation &amp; Measurement:</li><ul><li>Lead structured experimentation, including developing power analyses, exit criteria, and statistical models for inference in key initiatives.</li></ul><li>Organizational Leadership:</li><ul><li>Foster innovation in CS analytics by organizing workshops and structured training programs tailored to address core priorities like contact volume reduction, resolution speed, and data-augmented service strategies.</li><li>Contribute to executive-level presentations that contextualize CS performance data within broader organizational objectives, ensuring insights are framed to influence senior leaders and drive strategic decision-making.</li></ul></ul>A Typical Day: <ul><li>Owning the analytics road map, prioritization &amp; delivery of solutions in the customer support space space. </li><li>Collaborating with operational teams to visualize case and interaction-level data to unpack contact reason trends and efficiencies.</li><li>Engaging with global &amp; India based stakeholders to refine Community Support reporting frameworks.</li><li>Lead data investigations, uncover root causes and identify opportunities for product managers. </li><li>Building scalable insights solutions using advanced analytics techniques.</li><li>Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentation.</li><li>Define how to best measure the performance of Airbnb products and business through new metrics and dimensions. Align with stakeholders, understand trade offs and guardrails, prototype metrics through custom data pipelines.</li><li>Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. </li><li>Work closely with other global operations and India analytics functions.</li><li>Drive accountability within the team and effectively manage stakeholder expectations </li><li>Hire, retain and grow talent across the right mix of functional areas to meet payment analytics needs.</li><li>Coach and mentor direct reports on both technical development and soft skills.</li><li>Adapt and grow the India customer support analytics team as the business evolves.</li></ul>Your Expertise:<ul><li>15+ years of industry experience and an advanced degree (Masters or PhD preferred) in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.</li><li>Proven expertise in leveraging analytics to shape customer support strategies, including reducing contact volumes, enhancing resolution rates, and improving service quality metrics such as NPS and FCR.</li><li>Strong proficiency in Python or R programming, SQL, data modeling, ETL processes, and data warehousing concepts to ensure scalable and efficient data pipelines.</li><li>Extensive experience in advanced statistical methodologies, including hypothesis testing, regression techniques (Linear, Logistic, Ridge, Lasso), Random Forest, NLP/Text Mining, and clustering algorithms like K-Means.</li><li>Expertise in designing and developing BI dashboards using tools like Tableau, Power BI, or Looker, with a focus on user-centric design, advanced visualizations, interactivity features, and performance optimization.</li><li>Demonstrated ability to design metrics and prototypes integrated with robust data pipelines, supporting actionable insights and decision-making.</li><li>Skilled in A/B experiment analysis, statistical data analysis, and experimental design to measure effectiveness and drive continuous improvement.</li><li>Proven communication and collaboration skills, capable of translating technical insights into actionable narratives for both technical and non-technical audiences within cross-cultural and cross-functional teams.</li><li>Experience driving data strategies, establishing centralized sources of truth, and providing direction on analytics within diverse organizational contexts.</li></ul>Our Commitment To Inclusion &amp; Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.<h4>Experience Level</h4>Senior Level

Airbnb India Private Limited

Senior Analyst

Big Data Developer Skills Required: Big Data &amp; Hadoop Ecosystem, Python, PySparkExperience: 5-10 Years Share your updated resume now.

Net2Source

Data Scientist

Data Engineering Manager (Databricks Expert) We're hiring a 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 (𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐄𝐱𝐩𝐞𝐫𝐭) for 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐆𝐫𝐚𝐝𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. Experience: 7+ years in Databricks and PySparkKey Skills:<ul><li>Expertise in Databricks, Unity Catalog, Databricks Genie, PySpark, and data pipeline development</li><li>Proficiency in SQL, Python, and cloud platforms (Azure/AWS/GCP)</li><li>Strong understanding of data modeling and ETL processes</li><li>Familiarity with SAP (Modules - MM, FI, SD, PP, CO, PS, HCM) and other well-known ERP Systems</li></ul> If you're ready to lead innovative data solutions, please apply with the mail subject as \"Applying for Data Engineering Manager (Databricks Expert)\".

Ernst & Young LLP ( EY India )

Data Engineer

Data Scientist Lead - Fraud AnalyticsWe know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.  As a Data Scientist Lead - Fraud Analytics at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.  Job spec requirements:The Fraud &amp; Financial crime Product function leads the 1st line of defense business for fraud &amp; financial crime risk, including ownership of the fraud &amp; financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud &amp; financial crime risk whilst ensuring 1st class client experience – you will be supporting the product from an Analytics perspective. Job responsibilities:<ul><li>Develop and implement fraud strategies/rules to effectively detect fraudulent activities.</li><li>Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank.</li><li>Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact.</li><li>Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective.</li><li>Ensure all compliance, audit, and control frameworks are followed – using data to confirm these processes adhere to regulation standards.</li><li>Share best practices across JP Morgan Chase &amp; Co.</li><li>Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners</li></ul> Required qualifications, capabilities and skills<ul><li>Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc</li><li>Knowledge of Fraud/Financial Crime process and products</li><li>Team development and management experience required.</li></ul> #ICBCareerJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Analytics Reliability Engineer What You’ll Be Doing:<ul><li>Ensure high availability and performance of analytics platforms across AWS &amp; GCP</li><li>Design &amp; maintain robust data pipelines using Spark, Kafka, Airflow, Dataflow, and Solace</li><li>Manage advanced data stores &amp; tools: BigTable, Elasticsearch, Druid, Iceberg, Superset, and Notebooks</li><li>Administer MySQL (tuning, replication, migration), plus Postgres &amp; MongoDB on RDS/Aurora/Cloud SQL</li><li>Deploy &amp; orchestrate infrastructure using Kubernetes (EKS, GKE, Rancher), Docker, and Terraform/CloudFormation</li><li>Lead capacity planning, autoscaling, DR, and lifecycle management</li><li>Implement observability with CloudWatch, Grafana, Prometheus, Splunk, AppDynamics, and Mosaic</li><li>Troubleshoot and support React/Next.js/Node.js based UIs (TypeScript, SASS, styled-components)</li><li>Enforce security best practices: IAM, SSL/TLS, logging, proxies, and auth frameworks</li><li>Collaborate with engineering, SREs, and vendors in a cloud-native environment</li><li>Participate in on-call rotations to support 24/7 uptime</li><li>Build internal tools and automation scripts to increase efficiency</li><li>Stay updated with the latest in analytics reliability &amp; data infrastructure trends</li></ul> What You Bring:<ul><li>6–8 years of hands-on experience in data reliability engineering or SRE for analytics</li><li>Strong expertise in cloud platforms (AWS, GCP) and container orchestration with Kubernetes</li><li>Proven ability to handle large-scale data pipelines, observability stacks, and backend integrations</li><li>Experience managing both data infrastructure and modern UI stacks</li><li>Passion for reliability, automation, and continuous improvement</li></ul> <ul><li>Experience Level: 6–8 Years</li><li>Immediate Joiners Preferred!</li></ul> Share your updated resume now.

Teamware Solutions

Performance Test Engineer

Data Architect <ul><li>Experience - 10+ Years</li><li>Positions - 1</li><li>Primary Skills - ADF, Building pipelines, SQL/Scala/Python in Azure Big Data tech stack</li></ul> Please share your Updated CV now.

Quadrant Technologies

Senior Analytics Consultant – GenAI <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/company/exl-service/\&quot;" target="_blank">EXL</a> Hiring for Senior Analytics Consultant – <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> (Hybrid) Join our dynamic team as a Senior GenAI Engineer and work on cutting-edge solutions that drive real business impact. What You'll Do:- Design and deploy GenAI applications: Agentic AI systems, LLM-powered tools, NLP pipelines, and chatbots.- Build scalable analytics workflows using <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23python&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">Python</a> and <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23sql&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">SQL</a>.- Collaborate across teams to identify high-impact AI use cases.- Fine-tune <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23llms&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">LLMs</a> and evaluate model performance.- Stay ahead with the latest <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> frameworks and tools. What We’re Looking For:- 4–8 years in Analytics / Data Science.- 2–3 years hands-on experience with <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> (<a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23llms&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">LLMs</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23nlp&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">NLP</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23chatbots&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">Chatbots</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23agenticai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">AgenticAI</a>).- Strong Python and SQL skills.- Experience in <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23prompt&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">prompt</a> <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23engineering&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">engineering</a> and custom AI agent development. Bonus Skills:- PySpark, Machine Learning, Data Engineering.- Cloud platforms (AWS, Azure, GCP).- MLOps for GenAI solutions. If interested send your resume.

EXL Service

Principal Data ArchitectMake an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.Your day at NTT DATA The Principal Data Engineer is a highly skilled subject matter expert, tasked with managing the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities. Key and responsibilities:<ul><li>Leads on designing data models in a structured data format to enable analysis thereof.</li><li>Design. and develop. scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources,</li><li>Participates in the transformation of object and data models into appropriate database schemas within design constraints.</li><li>Interprets installation standards to meet project needs and produce database components as required.</li><li>Advises on test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.</li><li>Accountable for running data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems.</li><li>Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.</li><li>Accountable for analysis, and development of ETL and migration documentation.</li><li>Works with cross functionally stakeholders to evaluate potential data requirements.</li><li>Owns the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.</li><li>Partners with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.</li><li>May coach and mentor less experienced team members.</li></ul> To thrive in this role, you need to have:<ul><li>Broad knowledge of the definition and management of scoping requirements, definition and prioritization activities.</li><li>Broad understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.</li><li>Deep expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.</li><li>Broad understanding of data architecture landscape between physical and logical data models</li><li>Analytical mindset with excellent business acumen skills.</li><li>Problem-solving aptitude with the ability to communicate effectively, both written and verbal.</li><li>Ability to think strategically and build effective relationships at all levels within the organization.</li><li>Expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).</li></ul> Academic qualifications and certifications:<ul><li>Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.</li><li>Relevant certifications preferred such as SAP, Microsoft Azure etc.</li><li>Certified Data Engineer, Certified Professional certification preferred.</li></ul> Required experience:<ul><li>Extended demonstrated experience in data engineering, data mining within a fast-paced environment</li><li>Extended experience in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.</li><li>Extended demonstrated experience with architecture and design of secure, highly available and scalable systems.</li><li>Extended demonstrated experience in automation, scripting and proven examples of successful implementation.</li><li>Extended demonstrated experience using scripting language (Perl, bash, Shell Scripting, Python, etc.).</li><li>Extended demonstrated experience with big data tools like Hadoop, Cassandra, Storm etc.</li><li>Extended demonstrated experience in any applicable language, preferably .NET.</li><li>Extended demonstrated experience in SAP, SQL, MySQL databases and Microsoft SQL.</li><li>Extended demonstrated experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.</li></ul>Workplace type: Hybrid WorkingAbout NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.<h4>Experience Level</h4>Senior Level

NTT DATA Global Delivery Services Ltd

Associate Director - Data Science - Resource OptimizationJob Description SummaryThe Insights and Decision Science (IDS) team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. This role is crucial in analysing actual and predictable interacting operational activities to support data-driven decision making. The Lead for Resource Optimization plays a crucial role in analysing both actual and anticipated operational activities within the business to derive quantitative outcomes. This position establishes a rational foundation for decision-making by applying scientific and economic disciplines and techniques. With expertise in developing complex statistical models and measurement techniques, the Lead utilizes a range of methodologies, including mathematics, statistical methods, engineering methods, and operational mathematics techniques such as linear programming, game theory, and probability theory. By leveraging diverse datasets and advanced statistical techniques, the Associate Director – Resource Optimization drives strategic thought and effective decision-making, combining data analytics with business functions to uncover valuable insights that clarify both the what (data) and the why (business) behind business decisions. Acting as a strategic partner the Lead employs modern market research strategies and methods to address the needs of key stakeholders, ensuring that informed strategies can be developed and implemented in alignment with the organization's strategic objectives. Job DescriptionKey Responsibilities: <ul><li>Contributes to shaping and executing the Market Mix Modeling, Resources allocation and Optimization capabilities</li><li>Co-defines a (customer centric) vision and priorities for the Functional team based on needs of the business, Insights and Analytics vision, input from team and stakeholders.</li><li>Proactively proposes analytical and statistical solutions to business questions and problems and provide key stakeholders with new data driven ideas and actionable recommendations that enables better decision-making and enhance the business excellence.</li><li>Develops advanced technological ideas and guides their development into a final product, leveraging data science methodologies, tools and strategies using internal and external data sources to gain market insights.</li><li>Explores and evaluates new data sources for targeting to drive Insights and innovation and to identify opportunities for improvement.</li><li>Maintains full compliance with internal and external guidelines: stays current on external and internal guidelines.</li><li>Fosters collaboration, customer centric solution design</li></ul>Essential Requirements:<ul><li>Minimum of 8 years of experience in resource optimization, strategic planning, or a similar role within the pharmaceutical or healthcare industry.</li><li>Commitment to driving and enabling data-driven decision making throughout all levels of the organization; strong analytical and problem-solving skills with the ability to interpret complex data and generate actionable insights.</li><li>Exceptional business acumen, paired with a deep understanding of business dynamics in the context of the pharmaceutical industry.</li><li>Experience in managing multiple projects simultaneously, ensuring timely delivery and alignment with business goals.</li><li>Experience in managing relationships with key stakeholders, including senior leadership and external partners; demonstrated strong leadership skills in a team environment which requires negotiation, persuasion, collaboration, and analytical judgment.</li><li>Ability to work effectively with cross-functional teams and drive strategic initiatives.</li><li>Excellent verbal and written communication skills to articulate and present business problems and solutions to key stakeholders persuasively.</li><li>Proficiency in data analysis tools and software, such as Excel, Tableau, or similar business intelligence platforms.</li><li>Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs and priorities.</li></ul>Education (Minimum/Desirable): Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred Additional qualifications are as follows: <ul><li>Minimum 10 years of experience in analytics, decision science, or related roles, preferably in the pharmaceutical or healthcare sector</li></ul><ul><li>Ability to balance operational execution with high-level strategic thinking, supporting both day-to-day performance and long-term business goals</li></ul><ul><li>Ability to work collaboratively with cross-functional teams, including sales, data Operations , and product development and drive strategic initiatives</li></ul><ul><li>Excellent communication skills, capable of effectively collaborating with senior leadership and aligning diverse teams</li></ul><ul><li>Proficiency in insight and hypothesis generation, data science, and primary and secondary research methodologies</li></ul><ul><li>Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs and priorities.</li></ul>Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture    You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards    Commitment to Diversity and Inclusion:   Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.     Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Skills DesiredApache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (Ml), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis<h4>Experience Level</h4>Mid Level

Novartis India

Data Analyst Intern

Associate Director, Data Strategy and Change ManagementJob Description SummaryThe Associate Director, ERC Data Strategy and EDM Change Manager will be responsible for overseeing and guid-ing the data strategy, fostering data literacy within ERC, and ensuring the smooth operationalization of changes related to data initiatives. Reporting to the Head ERC Transparency and Data Management, the role ensures that data and change management strategies are aligned with business objectives. The Associate Director, ERC Data Strategy and Change Manager will collaborate with various ERC Teams to enhance data management practices and to support the adoption of enterprise-wide data standards. Job DescriptionResponsibilities:<ul><li>Lead the deployment and adoption of the ERC Data Strategy Playbook, ensuring alignment with ERC priorities and enterprise objectives.</li><li>Monitor the execution of the strategy, identifying key performance indicators (KPIs) to measure success and continuously improve outcomes.</li><li>Partner with Data Owners, Data Quality Managers, Data Stewards, and other stakeholders to achieve alignment on data governance goals and initiatives.</li><li>Act as a bridge between technical teams (Data Architects, Analysts) and business functions to ensure data strategy supports operational and strategic needs.</li><li>Ensure seamless integration of data strategy, data architecture, and data models to address current and future business requirements in partnership with Data Architects.</li><li>Identify gaps between data practices and business outcomes and recommend actionable solutions.</li><li>Design and implement a change management framework to support data-related transformations, fostering adoption across global, cross-functional teams.</li><li>Create a roadmap for managing resistance and embedding data change within the ERC’s culture.</li></ul>Essentials Requirement<ul><li>Master's or bachelor's degree in data Analytics, Data Science, Business, or Engineering is required; an MBA from a reputed institute is preferred.</li><li>15+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues.</li><li>Experience in Risk or Compliance Analytics in the Pharma or Life Sciences industry is preferred.</li><li>Demonstrated experience in designing and delivering insights using AWS, Snowflake, Databricks, and Python libraries for industrialized analytics solutions leveraging statistical models, AI/ML, including GenAI. Proven experience with web analytics tools such as Google Analytics on user insights to identify improvement opportunities.</li><li>Ability to work with a multi-functional and multi-national team in a matrix environment.</li></ul> Skills DesiredAuditing, Business Continuity Management, Business Networking, Compliance Management, Compliance Risk, Computer Cluster, Electronic Components, Internal Audit, Law (Legal System), Market Risk, Operational Risk, Operational Risk Management, Risk Assessment, Risk Management, Senior Management, Software Frameworks<h4>Experience Level</h4>Mid Level

Associate Analyst

ML Lead Job Requirements:<ul><li>Lead and mentor a team of data scientists to deliver ML-driven solutions.</li><li>Develop and implement advanced analytics, ML, and predictive models.</li><li>Build solutions using Statistics, ML, Deep Learning, or Generative AI.</li><li>10+ years industry experience in Data Science/ML projects with 2+ years of team leadership experience.</li><li>Strong expertise in Machine Learning, with experience in models like SVM, Random Forest, XG Boost, forecasting, anomaly detection, etc.</li><li>Proficiency in Python, PySpark, SQL, and libraries like Scikit Learn, Pandas, Numpy, Spark.</li><li>Exposure to MLOps and cloud-based ML model deployment (Azure, AWS, GCP).</li><li>Good to have: Deep Learning, Generative AI (LLMs, prompt engineering, Vector DBs), TensorFlow, PyTorch, Keras.</li><li>Excellent leadership, communication, and problem-solving skills with a track record of delivering quality solutions.</li><li>Relevant certifications (e.g., Azure Data Scientist Associate, AWS ML Specialty) will be an added advantage.</li></ul> <ul><li>Experience - 10+ Years</li><li>Immediate Joiners Preferred</li></ul> Share your updated resume now.

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