1492 Clustering Jobs - Page 9

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Job Description The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region. Roles & Responsibilities: Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations With senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Stay up-to-date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization and decision support Skills and Competencies: Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis Strong project management skills and the ability to work independently or as part of a team Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations Experience: We welcome a bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e.g., R, SAS, Python) and data visualization tools Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis Familiarity with the biopharma industry, including market dynamics, regulatory requirements and healthcare data sources Certification or training in decision analysis, statistical modeling or related If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Job Title: Data Scientist Location: Chennai Experience: 4-8 Years Skills Required 4+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms. Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Show more Show less

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You will be part of the FCSD analytics team, playing a critical role in leveraging data science to drive significant business impact within Ford Customer Service Division. As a Data Scientist, you will translate complex business challenges into data-driven solutions. This involves partnering closely with stakeholders to understand problems, working with diverse data sources (including within GCP), developing and deploying scalable AI/ML models, and communicating actionable insights that deliver measurable results for Ford. Responsibilities Job Responsibilities: Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen. Extract, analyze, and transform data using SQL for insights. Apply statistical methods and develop ML models to solve business problems. Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. Integrate and operationalize ML models for real-world impact. Monitor the performance and impact of deployed models, iterating as needed. Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions. Qualifications Qualifications: At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python. Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics). Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.). Technical Skills: Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.). Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. Experience with version control systems, particularly Git. Nice to have: Exposure to Generative AI / Large Language Models (LLMs). Functional Skills: Proven ability to understand and formulate business problem statements. Ability to translate Business Problem statements into data science problems. Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions. Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences. Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making. Show more Show less

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You would be part of FCSD analytics team. As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to develop solutions using AI/ML algorithms to provide actionable insights that deliver key results to Ford. The potential candidate should have hands-on experience in building statistical/machine learning models adhering to the best practices of development and deployment in cloud environment. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results. Responsibilities Job Responsibilities Build an in-depth understanding of the business domain and data sources. Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind. Design and implement scalable analytical solutions in Google cloud environment. Work closely with Product Owner, Product Manager, Software engineers and Data engineers to build products in agile environment. Operationalize AI/ML/LLM models by integrating with upstream and downstream business processes. Communicate results to business teams through effective presentations. Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management Identify opportunities to build analytical solutions driving business value, leveraging various data sources. Qualifications Qualifications: At least 2 years of relevant work experience in solving business problems using data science Bachelors/master’s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE,MS,MBA, BSc/MSc -Computer science/Statistics) or any other equivalent 2+ years of experience with SQL, Python delivering analytical solutions in production environment. At least 1 year of experience working in Cloud environment (GCP or AWS or Azure) 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc.,) and machine learning techniques (Classification/Regression, NLP) Technical Skills: Proficient in BigQuery/SQL, Python Advanced SQL knowledge to handle large data, optimize queries. Working knowledge in GCP environment (Big Query, Vertex AI) to develop and deploy machine Learning models Nice to have: Exposure to Gen AI/LLM Functional Skills: Understanding and formulating business problem statements Convert Business Problem statement into data science problems. Self-motivated with excellent verbal and written skills Highly credible in organizational, time management and decision making. Excellent Problem-Solving and Interpersonal skills Show more Show less

We are hiring a Laravel Developer! If you're passionate about backend development, know Laravel inside-out, and can handle liveprojects and deployments confidently - we want you in our team!Laravel Expertise:1. Minimum 1 year of strong hands-on experience in Laravel.2. Expertise in latest Laravel version and deep command over its ecosystem.3. Proven experience in deploying Laravel projects live on production servers.4. Version Control & DevOps:5. Proficiency with Git, GitHub, CI/CD pipelines.6. Sound knowledge of server-side configuration, Linux servers, and deployment tools.7. Hands-on experience integrating services like Firebase, Razorpay, OTP authentication, andChatGPT API.8. Database Mastery: Strong knowledge of MySQL, Database clustering, and experience workingwith AWS RDS / S3 Buckets.9. Code Management: Proper understanding of code versioning, branching, and rollback strategies.10. Communication & Product Understanding: Ability to clearly communicate with team membersand understand product requirements from both11. Full Deployment Lifecycle: Expertise in handling everything from project setup to deploymentincluding debugging, security, and performance optimization.Additional Qualities of a Laravel Developer:1. Writes clean, maintainable, and testable code.2. Takes ownership and responsibility of assigned tasks.3. Familiarity with RESTful APIs and third-party service integrations.4. Knows how to write and maintain Laravel Artisan Commands and Queues.5. Experience with job scheduling and real-time notification systems.6. Open to learning and implementing new technologies.7. Strong debugging and problem-solving skills.Interview Process: We follow a 4-Step Evaluation Process:1. HR Round – Understanding your background and motivation.2. Technical Panel Round – In-depth Laravel and backend knowledge check.3. Live POC (Proof of Concept) Test – You’ll be given a real-world task to build live code in a limitedtime.4. Final Round – Final discussion with senior management.Note:Apply only if you are truly ready and capable for this Laravel Developer role. We are looking for doers,not just talkers.Perks:1. 5 Days Working (10 AM – 7 PM)2. Salary: Negotiable (Depend on interview & performance)3. Learning-oriented environment4. Opportunity to work on high-impact projects Apply Now: hr@stockpathshala.com Contact WhatsApp: +91-7889241395 Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Fixed shift Morning shift Work Location: In person

The AI Engineer will design, develop, and implement AI models and systems, focusing on turning data into actionable insights through advanced machine learning (ML) and AI techniques. This role involves working with both structured and unstructured data, collaborating with cross-functional teams, and deploying AI solutions in real-world applications. Key responsibilities include hands-on development of generative AI applications and machine learning models such as classification, regression, clustering, and natural language processing (NLP) to generate actionable insights. The AI Engineer will collaborate with cross-functional teams to ensure that AI solutions align with business needs. Working in an agile development environment, the engineer will contribute directly to production-ready AI applications. Staying up-to-date with advancements in AI and integrating relevant innovations into ongoing projects will be essential. The role also involves continuously monitoring and optimizing AI models to improve accuracy, scalability, reliability, and maintainability. Documenting processes, models, and key learnings is expected, along with contributing to the development of internal AI capabilities. The engineer must also ensure that AI models adhere to ethical standards, privacy regulations, and fairness guidelines. Qualifications for this role include a bachelors degree in operations research, mathematics, computer science, or a related quantitative field. Candidates should have advanced expertise in Python and familiarity with database systems such as SQL, NoSQL, and Graph databases. Proficiency with generative AI tools, particularly AWS Bedrock, is required, as is a comprehensive understanding of agentic systems and workflows. The ideal candidate will have experience productionizing GenAI services and working with complex datasets. Advanced experience in developing APIs using Python (e.g., with FastAPI) and deploying them to production is expected. Familiarity with CI/CD pipelines, a strong foundation in software development, and a deep understanding of algorithms, optimization, and scaling are also required. Excellent communication and business analysis skills are critical to success in this role. While not mandatory, experience with cloud engineering, particularly using AWS cloud services, is considered a valuable asset. Show more Show less

Project Role : Service Management Practitioner Project Role Description : Support the delivery of programs, projects or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : Microsoft Power Apps Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Service Management Practitioner, you will support the delivery of programs, projects, or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Coordinate the delivery of programs, projects, or managed services. - Develop and maintain relationships with key stakeholders and sponsors. - Ensure high levels of commitment from stakeholders. - Enable strategic agenda through effective coordination. - Provide regular updates and reports on project progress. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI). - Good To Have Skills: Experience with Microsoft Power Apps. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Microsoft Power Business Intelligence (BI). - This position is based at our Chennai office. - A 15 years full-time education is required. 15 years full time education

Project Role : Technology Delivery Lead Project Role Description : Manages the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : Any Degree Summary: As a Technology Delivery Lead, you will manage the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. You will drive profitability and continued success by managing service quality and cost and leading delivery. Additionally, you will proactively support sales through innovative solutions and delivery excellence. Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have Influencing and Advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Manage the delivery of large, complex technology projects using appropriate frameworks. - Collaborate with sponsors to manage scope and risk. - Drive profitability and continued success by managing service quality and cost. - Lead delivery and ensure delivery excellence. - Proactively support sales through innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI S/4HANA Accounting. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 15 years of experience in SAP FI S/4HANA Accounting. - This position is based at our Hyderabad office. - A Any Degree is required. Any Degree

Snowflake - Senior Technical Lead Full-time Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description Position: Snowflake - Senior Technical Lead Experience: 8-11 years Location: Noida/ Bangalore Education: B.E./ B.Tech./ MCA Primary Skills: Snowflake, Snowpipe, SQL, Data Modelling, DV 2.0, Data Quality, AWS, Snowflake Security Good to have Skills: Snowpark, Data Build Tool, Finance Domain Experience with Snowflake-specific features: Snowpipe, Streams & Tasks, Secure Data Sharing. Experience in data warehousing, with at least 2 years focused on Snowflake. Hands-on expertise in SQL, Snowflake scripting (JavaScript UDFs), and Snowflake administration. Proven experience with ETL/ELT tools (e.g., dbt, Informatica, Talend, Matillion) and orchestration frameworks. Deep knowledge of data modeling techniques (star schema, data vault) and performance tuning. Familiarity with data security, compliance requirements, and governance best practices. Experience in Python, Scala, or Java for Snowpark development is good to have. Strong understanding of cloud platforms (AWS, Azure, or GCP) and related services (S3, ADLS, IAM) Key Responsibilities Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost. Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe). Automate schema migrations, deployments, and pipeline orchestration (e.g., with dbt, Airflow, or Matillion). Monitor query performance and resource utilization; tune warehouses, caching, and clustering. Implement workload isolation (multi-cluster warehouses, resource monitors) for concurrent workloads. Define and enforce role-based access control (RBAC), masking policies, and object tagging. Ensure data encryption, compliance (e.g., GDPR, HIPAA), and audit logging are correctly configured. Establish best practices for dimensional modeling, data vault architecture, and data quality. Create and maintain data dictionaries, lineage documentation, and governance standards. Partner with business analysts and data scientists to understand requirements and deliver analytics-ready datasets. Stay current with Snowflake feature releases (e.g., Snowpark, Native Apps) and propose adoption strategies. Contribute to the long-term data platform roadmap and cloud cost-optimization initiatives. Qualifications BTech/MCA Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities: Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, and experiment results clearly and consistently Support in integrating AI/ML models into production environments Stay updated with the latest trends and techniques in machine learning, deep learning, and AI Participate in code reviews, sprint planning, and product discussions Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require: Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras Knowledge of data preprocessing, feature engineering, and model validation techniques Understanding of probability, statistics, and linear algebra Familiarity with tools like Jupyter, Git, and cloud-based notebooks Problem-solving mindset and eagerness to learn Good communication skills and the ability to work in a team Internship/project experience in AI/ML is a plus Education: B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us: TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions . With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients. Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies!

Responsibilities Should be able to manage project (Build and Validate)models independently with minimal technical support . Should be able to implement new ideas for improving profitability. Identify relevant data sources to mine for client business needs. Analyze data for trends and patterns, and interpret data with a clear objective in mind. Research and devise innovative statistical/machine learning models for data analysis. Communicate findings to senior stakeholders. Candidate Profile 6– 10 years of experience in data science position (preferably in Banking and Financial Services). Master's degree in economics, Mathematics, Engineering, Computer Science, Operations Research or Related areas is preferred; candidates with BT.ech/BS degrees from the top tier academic institutions are also welcome to apply. Experience in programming in Python, SQL and/or SAS. Excellent understanding of Model Development and Validation in Credit Risk domain. Understanding of statistical concepts like (t-tests, chi-square tests, hypothesis testing, regression analysis, etc). Excellent understanding of machine learning techniques and algorithms, such as Classification, Clustering, Random Forest, XGBoost, GBM, Neural Networks. Or hands-on with Strategy building and optimization in credit Risk. Industry experience related to data science will be preferred over academic/online projects or courses. Good communication and presentation skills. Excellent problem-solving skills. Show more Show less

Job Description At our company we are leveraging analytics and technology, as we invent for life 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. 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. Integrated Research and Forecasting (IRF) is a global function encompassing long-range pharmaceutical asset forecasting across the product lifecycles of all assets within Human Health (Oncology, Vaccines, Hospital Specialty / Primary care). Assets include early and late-stage molecules in clinical development, companies under considerations by business development for partnering and/ or acquisition as well as currently launched products. Forecasting deliverables support division planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across divisions, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Manager – Strategic Forecasting” We are looking for a team member within Vaccines strategic forecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implications to a wide range of disciplines. While forecasting of realistic potential can be arrived through both qualitative and quantitative methods, the challenge lies in selecting and deploying the right methodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc. within forecasting vertical. Primary Responsibilities Include, But Are Not Limited To Responsible for one/multiple therapy areas – demonstrating good pharmaceutical knowledge and project management capability Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as well as statistical techniques within area of responsibility Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty - identify and elevate key forecasting levers/insights/findings to inform decision making Collaborate across stakeholders – our Manufacturing Division , Human Health, Finance, Research, Country, and senior leadership – to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders Responsible for delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available Contribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processes Qualification And Skills Engineering / Management / Pharma post-graduates with 4+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics Proven ability to work collaboratively across large and diverse functions and stakeholders Ability to manage ambiguous environments, and to adapt to changing needs of business Strong analytical skills; an aptitude for problem solving and strategic thinking Working knowledge of Monte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights Proven ability to communicate effectively with stakeholders Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Analysis, Marketing, Numerical Analysis, Stakeholder Relationship Management, Strategic Planning, Waterfall Model Preferred Skills Job Posting End Date 05/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R336662 Show more Show less

Experience: - 8- 15 years of overall experience in the field of IT Infrastructure is essential. - Must have at least 3 years’ experience in designing and implementing products or solutions of any one domain mentioned below: o Enterprise Servers & Storage (Cloud computing / Virtualization / Consolidation / Data center / Business Continuity / Backup / Enterprise Servers, Storage and Tape Technologies, Clustering / High availability etc) o Enterprise Networking and security (Routing and Switching protocols, network architecture, connectivity options, network management, remote access, data security, standards and compliance, identity management, log management etc ) o Datacenter ( Tier 3 / 3+ DC build including power & cooling) access control and building management system etc) Certifications: Any of the industry standard IT Infrastructure related certifications like RHCE/ MCSE / MCTS/ CCNA / CCIE / VCP /CISSP is essential. Also, PMP or ITIL certification will be an advantage Responsibilities will include: - Design of IT infrastructure solutions - develop technology strategies with logical and physical designs to meet client requirements, using standard architecture methodologies. - Handle multiple infrastructure technologies based on project requirements - Preparation of bill of material, technical write-ups for solutions developed - Documentation of architecture design to various levels of detail - Work at CxO level executives to capture client technical requirements /articulate the solution. Detailed briefing with presentations for larger client audience - Work as an individual contributor. - Ensure delivery of the infrastructure solutions designed as per scope & project timelines, through the right set of internal/external partners Role: Infrastructure Architect – T-Arch / STA (depending on the experience level of the candidate). Education: As per HR Policy Location: Noida Travel: Candidates should be ready for extensive domestic travel. Skills Required: Basic understanding of infrastructure architecture, industry standards and best practices methodology Highly motivated, ability to lead and influence Experience in infrastructure related role, Proven success in projects in large scale projects Strong technical design skills Ability to effectively communicate, coordinate and collaborate successful track record of effective vendor management Knowledge of emerging technologies and vendor landscape, Ability to balance cost against benefits Understanding of business drivers and all stakeholders’ requirements Understanding of documentation and frameworks Experience in capacity and performance management, understanding of application lifecycle management Hands on experience and expertise with specific infrastructure technologies relevant to organizational needs, including operating systems software, virtualization, automation (on multiple platforms) Creative thinking, innovative approach for solution design, implementation and problem solving. Set and manage stakeholder expectations. Recommend solutions as per RFP requirements or any change order coming from existing clients Manage vendor relationships from technical matters perspective. Mediate between infrastructure and delivery / development group. Establish and vet key vendors relationships. Assess emerging technologies from key OEMs Guide sales team on price vs performance issues. Show more Show less

At Tarana, you will help build a cutting-edge cloud product -- a management system for wireless networks, scaling to millions of devices -- using modern cloud-native architecture and open-source technologies. You will be responsible for designing and implementing distributed software in a microservices architecture. This could include everything from requirements gathering (working with Product Management and customers) to high-level design to implementation, integrations, operations, troubleshooting, performance tuning and scaling. You will provide technical and engineering leadership to an R&D team that owns multiple microservices, end-to-end. There will be PoCs, customer pilots, and production releases, all in an agile engineering environment. Expect to be challenged and stretch your skills on a daily basis. Expect to meet or beat exacting standards of quality and performance. We will provide the right mentoring to make sure that you can succeed. The job is based in Pune, and this job profile will require in-person presence in the office to interact with team members. Job Responsibilities: At least 15 years of experience in software development, including at least 5 years in large-scale distributed software Product architecture and design experience, including providing technical leadership to engineering teams Experience with building SaaS product offerings or IoT applications Experience with not just developing, but also operating and managing such systems would be a plus Required Skills & Experience: Bachelor’s degree (or higher) in Computer Science or a closely-related field, from a reputed university. Masters' / Ph.D. preferred Software design and development in Java and its associated ecosystem (e.g., Spring Boot, Hibernate, etc.) Microservices and RESTful APIs: design, implementation and consumption Strong understanding of distributed systems and associated concepts like clustering, asynchronous messaging, streaming, scalability & performance, data consistency, high availability. Experience with distributed messaging systems like Kafka/confluent or kinesis or google pub/sub Mastery of databases (relational, NoSQL, search engines), caching, and distributed persistence technologies. Experience on Elastic Search or any time series databases will be a plus Experience with cloud-native platforms like Kubernetes, and service-mesh technologies like Istio. Knowledge of network protocols (TCP/IP, HTTP) and standard network architectures, RPC mechanisms (e.g., gRPC) Secure coding practices, knowledge of network security, application security Since our founding in 2009, we’ve been on a mission to accelerate the pace of bringing fast and affordable internet access — and all the benefits it provides — to the 90% of the world’s households who can’t get it. Through a decade of R&D and more than $400M of investment, we’ve created an entirely unique next-generation fixed wireless access technology, powering our first commercial platform, Gigabit 1 (G1). It delivers a game-changing advance in broadband economics in both mainstream and underserved markets, using either licensed or unlicensed spectrum. G1 started production in mid 2021 and has now been installed by over 160 service providers globally. We’re headquartered in Milpitas, California, with additional research and development in Pune, India. G1 has been developed by an incredibly talented and pioneering core technical team. We are looking for more world-class problem solvers who can carry on our tradition of customer obsession and ground-breaking innovation. We’re well funded, growing incredibly quickly, maintaining a superb results-focused culture while we’re at it, and all grooving on the positive difference we are making for people all over the planet. If you want to help make a real difference in this world, apply now! Show more Show less

The D. E. Shaw group is a global investment and technology development firm with more than $65 billion in investment capital as of December 1, 2024, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world's capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. The D. E. Shaw group uses a combination of quantitative and qualitative tools to uncover self-governing, hard-to-find sources of return across global public and private markets. We are seeking an analyst to join our Compliance team at the firm’s office based in Hyderabad, or Bengaluru, or Gurugram, to work closely with a team of attorneys and compliance professionals to help ensure that the firm’s business activities are conducted in strict accordance with regulatory requirements. The Compliance group is an integral part of our global Financial Operations group and is responsible for implementing and enforcing policies and procedures across multiple regulatory requirements. This position affords the opportunity for broad exposure to the firm’s trading, operations, and software development groups, as well as the chance to handle real-time issues related to the firm’s expanding suite of global investment products in a dynamic, constantly evolving regulatory environment. WHAT YOU'LL DO DAY-TO-DAY: The Compliance group is responsible for implementing and enforcing policies and procedures across multiple regulatory requirements, where you will be assisting front office trading desks by conducting thorough research on the firm’s positions and applicable regulations for each asset class across jurisdictions through the deployment of advanced data analytics and data visualization techniques like statistical analysis, predictive modelling, clustering, etc. on tools like PowerBI and others. You will also perform regulatory filing obligations, requiring complex quantitative and qualitative analysis of the firm’s short position and long ownership reports across US, UK, EU, Japan, etc. jurisdictions, and assist in monitoring and implementing controls designed to ensure compliance with global regulations by deploying various data analytics and visualization techniques. Additionally, you will be conducting thorough analysis on the fundamental research data collected by the trading groups through their interactions with external industry experts/consultants around various market sectors to avoid potential trading while in possession of material non-public information. Furthermore, you will be assisting with long-term projects to maintain the firm’s high standards of compliance with new and existing regulations. WHO WE’RE LOOKING FOR: Basic qualifications: A master’s degree in Finance, Chartered Accountancy (CA) or equivalent, along with up to 2 years of work experience in the financial services industry Self-motivation, a results-oriented mindset, robust analytical and problem-solving skills, learning agility, attention to detail, the ability to work in a dynamic environment and the capacity to meet tight deadlines Excellent written and oral communication skills along with exceptional interpersonal skills Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Adv/Link/AnlyCompApr25 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers. Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

The D. E. Shaw group is a global investment and technology development firm with more than $65 billion in investment capital as of December 1, 2024, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world's capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. The D. E. Shaw group uses a combination of quantitative and qualitative tools to uncover self-governing, hard-to-find sources of return across global public and private markets. We are seeking an analyst to join our Compliance team at the firm’s office based in Hyderabad, or Bengaluru, or Gurugram, to work closely with a team of attorneys and compliance professionals to help ensure that the firm’s business activities are conducted in strict accordance with regulatory requirements. The Compliance group is an integral part of our global Financial Operations group and is responsible for implementing and enforcing policies and procedures across multiple regulatory requirements. This position affords the opportunity for broad exposure to the firm’s trading, operations, and software development groups, as well as the chance to handle real-time issues related to the firm’s expanding suite of global investment products in a dynamic, constantly evolving regulatory environment. WHAT YOU'LL DO DAY-TO-DAY: The Compliance group is responsible for implementing and enforcing policies and procedures across multiple regulatory requirements, where you will be assisting front office trading desks by conducting thorough research on the firm’s positions and applicable regulations for each asset class across jurisdictions through the deployment of advanced data analytics and data visualization techniques like statistical analysis, predictive modelling, clustering, etc. on tools like PowerBI and others. You will also perform regulatory filing obligations, requiring complex quantitative and qualitative analysis of the firm’s short position and long ownership reports across US, UK, EU, Japan, etc. jurisdictions, and assist in monitoring and implementing controls designed to ensure compliance with global regulations by deploying various data analytics and visualization techniques. Additionally, you will be conducting thorough analysis on the fundamental research data collected by the trading groups through their interactions with external industry experts/consultants around various market sectors to avoid potential trading while in possession of material non-public information. Furthermore, you will be assisting with long-term projects to maintain the firm’s high standards of compliance with new and existing regulations. WHO WE’RE LOOKING FOR: Basic qualifications: A master’s degree in Finance, Chartered Accountancy (CA) or equivalent, along with up to 2 years of work experience in the financial services industry Self-motivation, a results-oriented mindset, robust analytical and problem-solving skills, learning agility, attention to detail, the ability to work in a dynamic environment and the capacity to meet tight deadlines Excellent written and oral communication skills along with exceptional interpersonal skills Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Adv/Link/AnlyCompApr25 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers. Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Data Analyst Quality Customer Satisfaction Are you an experienced data analyst that has a passion and strong desire to utilize data to identify and drive decisions related to Quality of Volvo trucks? Who We Are If you want to be a part of an exciting Quality and Customer Satisfaction (Q&CS) team where you can drive and impact the quality of Volvo Trucks Brand, come join us! You will be engaged within the advanced analytics and machine learning initiatives focused on emerging issue detection, problem definition and resolution support within our team. This is done in parallel with other data and product quality leaders located across our sites Q&CS’s is part of Volvo Group Truck Technology Team. Our team’s mission is to ensure the product quality performance for the complete product line through investigating and prioritizing market product quality issues. Our data team secures the voice of the customer in the problem-solving processes through clear and concise data storytelling. This role supports achieving product quality goals and metrics that directly pertain to customer satisfaction. In this position you will use fundamental analytics approaches as well as advanced analytics techniques to accelerate field quality issue solving process. This process includes conventional, electric and fuel cell powertrains in our Trucks and Coaches. Volvo is a global organization. This position involve collaboration with sites located in Sweden, France, Brazil and US locations. What You Will Be Doing You will be part of the Q&CS product quality Bangalore organization. Your creative thinking and problem-solving skills will contribute to identifying and solving complex quality challenges through the areas of data mining and optimization. You will be actively working with quality issue management and ways to increase Uptime for our customers. QCS Data Analyst Will Be Responsible For All steps of an analytics assignment ranging from fundamental to advanced statistical techniques, in the areas of data & business value exploration, data structuring, modelling, problem solving & recommendation within the Quality team. You will develop & implement methodologies to assist Product Quality Leaders in emerging issue detection, forecasting & predicting quality & uptime performance. Working with various data sources but not limited to warranty, logged vehicle, customer data, manufacturing data, high resolution truck data. You will be able to deliver all steps independently but also establish a network working closely with colleagues in Europe, India & Brazil on various initiatives. Collaborateclosely with other Data Analysts, Data engineers, Data Architects and Data Scientists during theimplementationand deployment of the advance analytics solution Who You Are You are person with a passion for data driven decisions to solve important technical issues related to quality. A team player with eagerness to try and develop through collaboration, co-operation, and sharing insights, solutions, and ideas. Position Requirements Minimum bachelor’s degree in engineering, Computer Science, Mathematics, Statistics, or equivalent required. Graduate Degree Preferred Experience with problem solving in a quality organization that is technical focused. Very skilled in PowerBI Demonstrated experience with relevant technical tools such as: SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. Knowledge of unsupervised and supervised machine learning techniques. (Algorithms for classification, regression, clustering, or anomaly detection including but not limited to: K-means, Random Forest, etc.) You have excellent communication skills in English To be the perfect match for this role, your critical competencies will include: Must have good energy, a positive attitude, and thrive in creative thinking. Real problem solver and confident to make data driven decisions. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques Self-starter with the ability to prioritize critical tasks, as well as deliver on assignments within deadlines. Preferred qualifications (or willingness to learn!) Exposure to software development practices, including version control, unit testing, and code review. Process oriented individual with a continuous improvement mindset to drive DA product Ready to join our team and shape tomorrow’s society together with us? We value your data privacy and therefore do not accept applications via mail. Who We Are And What We Believe In We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation. Show more Show less

Apply only if your current location is Ahmedabad. Job Title: SEO Content Writer – Simpolo Digital Team About the Role: Simpolo is seeking a sharp, SEO-driven content writer who understands both the science of search and the art of storytelling. If you have a flair for crafting compelling, keyword-rich content and want to help shape the voice of one of India’s leading surface brands, this role is for you. Key Responsibilities: Create high-quality, original, and SEO-optimized content including blogs, product pages, landing pages, and editorial web content Conduct keyword research, competitor analysis, and topical clustering using tools like SEMrush, Ahrefs, and Perplexity Collaborate with the SEO and digital marketing teams to develop and execute content strategies aligned with brand and business goals Maintain consistency in brand tone, visual storytelling, and language across all content formats Stay current with SEO trends, Google algorithm changes, and AI content optimization techniques Track performance of content via Google Analytics and Search Console , and optimize based on data Skills & Qualifications: 1 to 2 years of SEO writing experience , preferably in a brand, lifestyle, or B2B domain Strong grasp of on-page SEO, keyword intent, and content funnel strategy Excellent grammar, attention to detail, and ability to write for luxury/lifestyle audiences Familiarity with WordPress, CMS platforms, and basic HTML is a plus Self-motivated, curious, and comfortable working in a fast-paced, design-focused environment Show more Show less

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions Show more Show less

Data Science Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The Data Science Internship is designed to equip you with the skills required to extract insights, build predictive models, and solve complex problems using data. Role Overview: As a Data Science Intern, you will work on real-world datasets to develop machine learning models, perform data wrangling, and generate actionable insights. This internship will help you strengthen your technical foundation in data science while working on projects that have a tangible business impact. Key Responsibilities: Collect, clean, and preprocess data from various sources Apply statistical methods and machine learning techniques to extract insights Build and evaluate predictive models for classification, regression, or clustering tasks Visualize data using libraries like Matplotlib, Seaborn, or tools like Power BI Document findings and present results to stakeholders in a clear and concise manner Collaborate with team members on data-driven projects and innovations Qualifications: Pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, or a related field Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of statistical analysis and machine learning algorithms Familiarity with SQL and data visualization tools or libraries Strong analytical, problem-solving, and critical thinking skills Eagerness to learn and apply data science techniques to solve real-world problems Internship Benefits: Hands-on experience with real datasets and end-to-end data science projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of data science projects and models Show more Show less

Title : Backup Administrator ( Commvault) Position : Fulltime Location: Hyderabad ( Work from Office) Job Description: Backup Administrator with minimum 3 -5 Years of experience in supporting backup solutions like Commvault, NetBackup, Veeam etc. A Candidate who is passionate, hardworking and responsible for monitoring and manage the end to end backup infrastructure. He/ She should be able to work in a team environment, where responsibilities will include all aspects of delivering backup service and management. Job Responsibilities: Supporting and troubleshooting Backup & Recovery in a large, complex and distributed environments. Capable of working constructively in a highly pressurized environment. Willing to work after office hours to manage critical escalations when necessary 24x7 availability as required for Out of Hours (OOH) coverage. Perform daily monitoring and management of the backup solution implemented across the Infrastructure facilities as per pre-defined policies & procedures. Execute & troubleshoot escalated restore jobs, failed jobs, and initiate corrective action Handle issues related to Commvault, Veritas NetBackup Catalog databases, Storage Units, Policies, De-Duplication, Media Servers Work with the Vendor, internal IT teams (VMware, Linux, Windows, and Storage, Network etc.). Plan and implement best practices for backup solutions & Optimize backup environment Must be able to automate the tasks using Devops, scripts or other automation tools. Skills Required: Installation, configuration and troubleshooting of multiple backup applications on client/cloud servers. Implement and maintaining Backup Infrastructure for NetBackup, Commvault, Veeam etc. Experience in Catalog Recovery and Migration activities Experience in configuring De-duplication and troubleshooting issues related DDB & MSDP. Experience on Veritas Clustering Server (VCS) or Info Scale Good Knowledge and experience on integrating backup solutions with Cloud platforms like Azure/AWS/GCP/OCI etc. Deploying NetBackup Master & Media servers, Ops Center, and integrating with third party monitoring and reporting tools like Splunk, Bocada etc. Daily health checks on Backup infrastructure and Backup Failures identification and troubleshoot issues as needed. Knowledge on configuring and restoring DB level backups (SQL, Informix, Oracle, SAP HANA, Sybase, SAP Oracle, Exchange, DB2 Etc.) Very strong knowledge of Commvault & NetBackup, Backup Policies, Media Agents and clients. Logical components like storage policies, schedule policies and sub-client policies, SLPs etc. Knowledge of VMware, Windows and Linux operation systems, Networking, Security, D2D & Tape Library concepts including associated technologies in an Enterprise multi-site Backup environment Knowledgeable in data centre operations including handling tape library configuration and day to day operations Experience in working with vendors for major issues whenever it is required. Competent in configuring disaster recovery and fault tolerant features. Should have experience installing Feature Release/Maintenance Release on Master and Media servers and Clients. Proven ability to develop, implement, and communicate best practices for Backup in a large customer environment. Ability to understand and comply with business processes and procedures. Excellent oral and written communication skills. Good to have intermediate Certification in Commvault/ NetBackup Show more Show less

If you are interested in enabling smooth customer pre-approval/ pre-qualified/ live digital journeys while leveraging modular constructs and creating APIs to scale ML algorithms - this role will be the right fit for you. Responsibilities : You will be working on ensuring scaling of ML products and credit risk policy (incl. models) within pre-approved/ pre-qualified campaigns and live digital journeys. It will entail ensuring APIs operate smoothly at scale, identify ways to ensure simplified and low risk customer journey. We are looking for someone with entrepreneurial mindset, sound understanding of credit risk, with hands-on experience in algorithm design, cloud-based tools/ packages for automation and encryption and APIs. Qualifications : - Masters or Undergraduate in Computer Science/Electrical Engineering/ Mechanical Engineering with overall experience of 6-8 years with minimum of 3-4 years in MLOps or BRE implementation - End-to-end system design experience : Model/BRE implementation (batch process/ API/ cloud platform tools), debugging, and maintenance in production. - Experience in Python, Linux, cloud computing environment (AWS/ GCP), big data tools like warehouse, spark and pipelines management. - Knowledge of different Algorithms and Machine Learning techniques like regression, classification, clustering, CNN, tree-based algorithms, NLP etc. along with Hyper parameters tuning. - Strong communication and project management skills - Experience in Java would be a plus - Experience in credit risk would be a plus About the team : You will be part of ML Engineering Team within Digital Banking Unit of the bank. You will work in a fast-paced environment where new ideas are encouraged. This will involve liaising with teams within Digital and those across the bank e.g. data engineers, data scientists, product managers and senior business and credit risk stakeholders. The mandate of the Digital Business Unit at IndusInd Bank is as follows : - Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments - Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers - Build Embedded Finance (Banking as a Service) applications - Ensure designs are highly available, highly modular, highly scalable and highly secure - Drive digital business Some of the applications managed by the Digital Business Unit include IndusMobile (bank's mobile app for retail individual clients), Indusnet (net banking application of the bank), IndusMerchantSolutions app, Whatsapp Banking, Chatbots, easycredit for Individuals, easycredit for Business Owners, savings, current account and fixed deposit online platforms. There are many more innovative digital products and solutions in pipeline The unit's objectives are three fold : (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models Show more Show less

Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Role- Lead HR Analytics Location- Noida Budget-10LPA Responsibilities Required Skills Must have- Excel, reporting dashboarding proficient. Data Analysis & Interpretation Analyze workforce data to identify patterns and trends in hiring, engagement, turnover, DEI, and performance. Perform predictive and prescriptive analytics (e.g., turnover risk, future talent needs). Advanced Analytics & Modeling Build statistical models and dashboards for talent management, forecasting, or scenario planning. Use regression, clustering, and other data science techniques to answer HR business questions. Strategic Insight Generation Provide data-driven recommendations to HR leadership and business units. Link workforce metrics to business KPIs like productivity, revenue per employee, or customer satisfaction. Dashboarding & Visualization Design intuitive dashboards and visualizations (Power BI, Tableau, etc.) to present complex data clearly. Create self-service reporting tools for HR and leadership. Show more Show less

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute to key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact for the project - Manage the team and ensure successful project delivery - Collaborate with multiple teams to make key decisions - Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD) - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 5 years of experience in SAP Sales and Distribution (SD) - This position is based in Mumbai - A 15 years full-time education is required 15 years full time education Show more Show less