19784 Statistics Jobs - Page 42

Purpose of the role . The objective of the role is to build network capacity to ensure availability of network to support products and services to meet customer requirements. and participate in planning for short term and long-term capacity requirements,Responsibilities1. Networkand Capacity Planning domain expertise: Responsible for analyzing the currentnetwork includes MPLS and IP , GSIP and cloud capacity, forecasting futurecapacity requirements, and making recommendations for network and cloudexpansion or optimization to ensure that the network and cloud meet businessdemands.2. Network Lifecycle Management: You will lead projects related to network capacitymanagement, working closely with cross-functional teams to ensure successfulimplementation and work and plan the lifecycle management of the networkelements as needed.3. Risk Management: You will identify potential risks and proactively developmitigation strategies to minimize impact on network and cloud performance.4 Cloud Capacity Management: You will have knowledge in cloud capacitymanagement, which involves managing the capacity of cloud-based resources, suchas storage, compute, and network resources.5. Cramer Knowledge: You will use your knowledge in Cramer to manage and maintainaccurate records of network assets, track changes in network capacity, andensure that network resources are used effectively and help in modelling newdevices, SQL query writing to extract data from Cramer and Metadata creation inconfigurator tool. Desired Skill setsBE /B Tech in Electronics and Telecommunications or equivalent.4+ years experience of working on Telecom technologies like Transmission, IP- MPLS, Cloud and UCC products. Experience in capacity planning and management Expertise on inventory management systems like Cramer.Strong data analytics and or statistical experience.Applied knowledge of using analytical skills to resolve problems, changes or analyzing dataExperience leading projects and initiatives'Strong verbal and written communication skills; excellent knowledge of spoken and written English.

Req ID: 333994 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a BA Credit Risk to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Create a more detailed JD for this Credit Risk domain knowledge, Optima knowledge (important and critical) Location India Citi Experience Preferred Especially In The Credit Risk Area 5–8 years of hands-on experience in Credit Risk within banking or financial services Proven expertise and extensive experience with Optima, including advanced functionalities and reporting mechanisms Prior Citi experience in a Credit Risk role highly desirable Solid understanding of credit risk metrics (PD, LGD, EAD), scorecards, and portfolio segmentation Strong quantitative and analytical skills; experience with tools like SAS, SQL, Python, or Excel/VBA is a plus Bachelor’s or Master’s in Finance, Economics, Statistics, Risk Management, or a related field About 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. 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 one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Job Summary We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization. Responsibilities Lead the development and implementation of machine learning models to solve complex business problems Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data Utilize Airflow to manage and automate data workflows and pipelines Implement knowledge graphs to improve data relationships and insights Apply ML Ops practices to streamline the deployment and monitoring of machine learning models Develop and optimize machine learning algorithms using Cloud AutoML and other tools Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction Utilize OpenCV for computer vision tasks and image processing Apply artificial intelligence and natural language processing techniques to enhance data analysis Implement deep learning models using PyTorch and Tensorflow for advanced data analysis Use R Statistical Package and Python for data manipulation analysis and visualization Optimize search engine performance through effective SEO strategies Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives Communicate findings and recommendations to stakeholders in a clear and concise manner Stay updated with the latest advancements in data science and machine learning technologies Qualifications Must have strong experience in Statistics and Azure Open AI Service Must be proficient in EDA Airflow and Knowledge Graph Must have expertise in ML Ops Machine Learning and Cloud AutoML Must be skilled in Dialogflow OpenCV and Artificial Intelligence Must have experience in Natural Language Processing and Deep Learning Must be proficient in PyTorch AI enabled chatbot and Tensorflow Must have strong knowledge of R Statistical Package and Python Must have experience in Search Engine Optimization Nice to have experience in other data science and machine learning tools and technologies Must have excellent communication and collaboration skills

MakeMyTrip-GoIbibo data science group is looking for a seasoned data science professional, who can build next-gen travel fintech systems powered via personalized product recommendations/persuasions, real-time pricing and causal algorithms. Responsibilities: Train and deploy best in class deep learning models for ranking, pricing, recommendation, representation learning, FinTech products. Work with stakeholders at various stages of project, lead project development from inception to completion. Be a SQL python ninja, understand data thoroughly, build smart AI/ML systems. Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip and GoIbibo, i. e., in rapidly growing travel space. Build and own robust data science APIs meeting 99% SLA at very high RPS. Also ensure training/inference MLOps rigour. Show business impact while having opportunity to build best in class AI/ML models. Requirements: Bachelor's degree in mathematics, Statistics, related technical field, or equivalent practical experience. A minimum of 8 years of experience (or minimum of 5 years with a Ph. D.) in one or more of the following: ML Modeling, Ranking, Recommendations, or Personalization systems. Knowledge of advanced ML techniques such as Classification, Prediction, Recommender Systems, Dynamic Pricing, Choice modelling, Anomaly Detection Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. Experience of deploying models into production is preferred Experience with applying machine learning techniques to big data systems (e. g., Spark) with TB to PB scale datasets. Experience with data querying languages (e. g., SQL), scripting languages (e. g., Python), and/or statistical/mathematical software. Strong research record demonstrated through publications. Experience with design and analysis of experiments. Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.

We are looking for a Lead Data Scientist to join our dynamic team at MakeMyTrip. This is an exceptional opportunity for a seasoned expert to contribute to our hotel ranking, recommendations, pricing, discovery and personalization charters. Responsibilities: Train and deploy best in class deep learning models for ranking, pricing, recommendation, representation learning. Work with stakeholders at various stages of project, lead project development from inception to completion. Be a SQL python ninja, understand data thoroughly, build smart AI/ML systems. Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip and GoIbibo, i. e., in rapidly growing travel space. Build and own robust data science APIs meeting 99% SLA at very high RPS. Also ensure training/inference MLOps rigour. Show business impact while having opportunity to build best in class AI/ML models. Requirements: Bachelor's degree in mathematics, Statistics, related technical field, or equivalent practical experience. A minimum of 6 years of experience in one or more of the following: ML Modeling, Learning to Rank, Recommendations, or Personalization systems. Knowledge of advanced ML techniques such as Classification, Learning to Rank Methods, Recommender Systems, Dynamic Pricing, Choice modelling, Anomaly Detection, Time Series Forecasting. Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. Experience of deploying models into production is preferred Experience with applying machine learning techniques to big data systems (e. g., Spark) with TB to PB scale datasets. Experience with data querying languages (e. g., SQL), scripting languages (e. g., Python), and/or statistical/mathematical software. Strong research record demonstrated through publications. Experience with design and analysis of experiments. Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.

Major Accountabilities Owns the safety strategy of the assigned products and ensures ongoing evaluation of the overall safety profile, serving as the medical safety representative for Risk Management Plans (RMPs), Periodic Safety Update Reports (PSURs), Annual Product Quality Reports (APQRs) and medical risk assessments (MRAs).Preparation/review of investigator notifications and periodic medical assessments for ethics committees. Medical review of single case reports according to business needs (example SUSARs).Review safety documents prepared by External Service Providers. Performs medical assessment of product quality defects with or without adverse events, including the review of line listings whenever required and proposes relevant market action. Monitoring and evaluation of all safety signals both from internal and external sources including literature sources, single cases and/or aggregate data and presents the assessment to the Sandoz Safety Management Team/ Governance Board / other internal/external boards as needed. Prepares safety responses to inquiries from regulatory authorities, health care professionals or legal queries on the benefit-risk balance of assigned products. Supports Country Organization and other stakeholders on safety related questions when global input is required. Depending on assigned products and portfolio, may support the GPSL/Medical Safety Group Lead and the Senior Medical Safety Lead in submission activities as required by providing pharmacovigilance inputs to initial development and updates of core data sheet (CDS) and its related documents. In this context, the Medical Safety Lead may deputize for the Senior Medical Safety Lead for the preparation of safety documents (e.g. summary of clinical safety, clinical overview) for review by GPSL. Lead/Review the authoring of pharmacovigilance cumulative reviews/clinical overviews to support initial submissions and updates of the company core data sheet (cCDS)/ Safety labels. Provides guidance as appropriate to Case processing team for the coding and causality/expectedness assessment of adverse event reports as and when needed. Provides inputs and collaborates on preparation of Safety Profiling Plan (SPP).Provides safety inputs for clinical and regulatory deliverables including but not limited to clinical study protocols (e.g. - PASS, consortia studies etc.), clinical study reports, investigator brochure and safety management plans. Collaborates productively on clinical safety tasks with colleagues from Clinical Development, Regulatory Affairs, Medical Affairs, Medical Information, Statistics, Safety Data Management, and other related departments. Provides relevant inputs for Global Program/Brand Team (GPT/GBT), Global Clinical Team (GCT), and Clinical Trial Team (CTT) meetings as needed depending upon the portfolio and products assigned. Provides support as needed for regulatory authority inspections and internal/external audits. Perform Root cause analysis (RCA) and propose robust Corrective and Preventive Actions (CAPA) as appropriate. Provides support as needed for licensing activities. Leads the safety review for due diligences/mergers and acquisitions and proposes relevant action/mitigation strategies. Provide safety input for Post marketing surveillance plans, Clinical Evaluation Plan and Report (CEP/CER) and other safety related documents in the context of EU Medical Device Regulations. Preparation and review of working instructions and procedures. Perform tasks as per assigned workstreams. Minimum Requirements Medical Degree (MBBS or MD) required. Medical degree with specialization preferred/ Bachelor of Science in Pharmacy / Bachelor of Science in Nursing / PharmD / PhD or Masters in relevant field. Medical degree is essential for associates performing medical review of single case reports whenever business needs require this activity Why Sandoz? Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, touched the lives of almost 500 million patients last year and while we are proud of this achievement, we have an ambition to do more! With investments in new development capabilities, state-of-the-art production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably. Our momentum and entrepreneurial spirit is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is encouraged! The future is ours to shape!

Role: Data Science (Senior/Lead) Location: Hyderabad (Work from Office) about alliantgroup alliantgroup is a professional services firm that provides tax consulting and compliance services to businesses in the United States. The company was founded in 2002 and is headquartered in Houston, Texas. alliantgroup services are focused on helping businesses claim tax credits and incentives that they are entitled to under various federal and state programs. These credits and incentives are designed to encourage businesses to invest in certain types of activities, such as research and development, energy efficiency, and hiring employees from certain disadvantaged groups. alliantgroup services include helping businesses identify and claim these credits and incentives, as well as providing guidance on compliance with the relevant regulations. alliantgroup is headquartered in Houston, Texas with additional offices located in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, Washington, D.C.; and Bristol and London in the U.K. More about our culture and why we love alliantgroup https://youtu.be/nM_9fXXwyrg https://youtu.be/erJobvthqRw alliantgroup India Talent Pvt. Ltd: alliantgroup started its operations in India in the year 2020 with a world-class office in Hyderabad to provide Tax, Advisory, Audit and Accounting services. alliantgroup India Talent comprises a team of skilled professionals who address the most pressing needs of U.S CPA Firms. We work with the best talent and ensure our clients get top quality services they need. We are currently a family of 1000+ employees. Our people and culture set us apart as a firm, and our team includes professionals from a diverse array of fields, including business, engineering, software development, law, and accounting. What you’ll be doing: We are seeking a highly skilled and motivated Data Scientist to join our team. As a Senior/Lead Data Scientist, your primary responsibility will be to lead design and develop predictive models to derive actionable insights from complex data sets. You will work closely with cross-functional teams to understand business requirements and leverage your expertise in data analysis and modeling techniques to provide valuable solutions. Additional requirements for this role are dependability and willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution. What will be your responsibilities: Collaborate with domain experts, stakeholders, and data engineers to identify and gather relevant data for analysis. Build strategy for Predictive Analytics. Data Collection and Integrations. Understanding of Natural Language Processing (NLP) techniques. Develop and apply advanced analytics for organizational strategy like Prescriptive Analytics/Data optimization and simulation. Develop and implement advanced statistical models and algorithms to analyze large and complex datasets. Work on Data exploration and Visualization. Extensive experience in Data communication and storytelling Big Data Analytics, Processing and analyzing large volumes of structured and unstructured data to uncover patterns and trends. Perform feature engineering, variable selection, and model validation to improve the accuracy and effectiveness of predictive models. Collaborate with stakeholders to understand business requirementsand produce developed models for deployment in real-world systems. Stay up to date with the latest advancements in data science, machine learning, computer vision, NLP, and MLOps techniques. Coordination with ISMS core team to support ISMS activities and implantation strategies at the company. What are we looking for: Bachelor’s degree in computer science, Statistics, Mathematics, or a related field. A Master's degree is preferred. 8+ years of experience and leading small DS teams. Proven experience as a Data Scientist or similar role, preferably in a business or industry setting. Strong analytical thinking and a passion for data-driven decision-making. Experience working on tools like Python, Power BI and Tableau. Ability to work independently and collaboratively in a fast-paced and dynamic environment. What we offer: With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees. Join us and bring your curiosity to life!

Overview Strategically design Test processes and lead development of Manufacturing Test solutions and applications involving electro mechanical Hardware and Software code development. Primary role is to design and develop solutions using latest tools and technologies to create most efficient and optimized manufacturing processes. This role requires innovative mindset to create new and different to influence and provide direction to leadership teams to adopt new manufacturing technologies positively impacting Zebra business. This position offers future advancements to the right candidate into leadership roles in Technical operations arm of Supply chain to lead, develop, automate, optimize and innovate Manufacturing Test strategies & solutions, for wide range of Zebra offered products and solutions. Responsibilities • Lead designing and architecting Test Strategies and solutions along with their execution with other team members. • Co-develop, strategize and lead projects in manufacturing space to create low cost, highly efficient and sustainable processes within Zebra adopted framework of Industrial standards. • Test software development along with hardware design of manufacturing test systems for calibration & functional testing of electronic devices and opto-mechanical electronic products. Such products include specialty printers, mobile computers, laser & imaging scanning products. • Document test solutions, drawings, schematics and specifications as per departmental practices. • Perform Measurement validation and acceptance criteria using Measurement System Analysis (MSA) tools to validate the designed test system (Cpk, GR&R). • Support product testing during the New Product Introduction (NPI) phase as well as sustaining support. • Lead in Benchmarking test solutions to latest technologies and trends in manufacturing environment with the goal to improve product quality, line efficiencies and throughput within LSS and I4.0 Framework • Makes changes to or upgrades existing systems. Enhances and improves existing technologies to apply to new solutions seeking new tools to analyze and solve problems. • Be able to echange ideas and articulate designs for test systems with peers and others in solution architectiure Qualifications • Minimum Education: o Bachelors Degree in Engineering(Electronics/Computer Sc./Physics) or Major in Physics • Minimum Work Experience (years): o 8 +Yrs. • Key Skills and Competencies: o Expert in (5+ yrs.) Python scripting, Labview, C++ o Minimum 2 yrs of experience in use of Data analytics tools and development – Power BI/Looker o Expert in Technical analysis with problem-solving capability associated with the manufacturing or functionality of electronic systems • Licenses/Certifications, special qualifications: o S/W development - training certifications • Equivalencies: o 5 yrs experience in S/w coding Position Specific Information: • Travel Requirements (as a % of time): 15-25% • Able to telework? Yes/no – if yes, % of time and expectations while teleworking: Yes. 30% - 40%Remote operation and provindig support.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 2 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 3 years of experience in abuse analytics, Trust and Safety, policy, cybersecurity, or related fields. Experience using statistical analysis and hypothesis testing. Experience analyzing machine learning (ML) models performance or working on LLMs. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. Excellent written and verbal communication skills to clearly communicate technical concepts with multiple cross-regional and cross-functional stakeholders. About The Job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As a Trust and Safety, Engineering analyst you will be the driving initiatives that protects Google Video, Image and User generated content experiences from misinformation, abuse, and harmful content. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Responsibilities Lead projects building critical trust protections for Google Video and Image, used globally, collaborating with cross-functional teams to develop safety solutions. Perform data analyses to identify and address product vulnerabilities, continuously improving systems against evolving abuse. Embrace LLMs to enhance abuse and misinformation fighting ability. Review into trust issues specific to images, videos and creator content surfaces, providing insights and data-driven analysis to inform decision-making for the product. Use technical judgement to drive project delivery, continuously refine our enforcement workflows, leveraging automation including LLMs and your problem-solving skills to streamline processes and maximize efficiency Be prepared to review and assess content that may be controversial, offensive, or sensitive, demonstrating resilience and sound judgment. You might need to perform on-call responsibilities on a rotating basis including weekends as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

TrueID is at the forefront of digital transformation in the realm of biometric-based identity management, emphasizing the pivotal role of digital identities in modern-day businesses such as fintech, banking, and e-commerce. Our team members are given exceptional opportunities to work on cutting-edge projects, pushing the boundaries of digital transformation in identity management in the banking, fintech domains and ecommerce domains. At TrueID, we offer an inspiring work environment that fosters innovation and creativity, allowing team members to contribute to groundbreaking digital identity projects. All TrueID employees are engaged on overseas projects giving them exposure to diverse cultures and perspectives enhancing their professional growth in an increasingly digitalized world. TrueID's commitment to driving digital innovation has made the company a thought leader in shaping the future landscape of digital transformation to manage digital identities. Job Description: TrueID (www.trueid.in) is looking to hire a talented Data Scientist with 3+ years of experience to join our team and develop high-impact, scalable forecasting and predictive analytics solutions. You will leverage advanced AI/ML models, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our SaaS platform serving B2B clients. ## Responsibilities • Design, develop, and validate time series forecasting and predictive analytics models (Classical, Machine Learning and Neural Network based models) • Analyse and integrate diverse datasets from internal and external sources, including APIs and web-scraped data. • Engineer features, perform data cleaning, and build robust data pipelines. • Work within the productization team to deploy models as APIs and integrate them into our SaaS product. • Implement and monitor model accuracy, retraining, and drift detection pipelines. • Build cost-benefit analysis models, scenario simulation tools, and recommendation engines. • Apply NLP and GenAI techniques to analyze unstructured data and extract actionable insights. • Generate reports and insights for business stakeholders. • Contribute to technical documentation and knowledge transfer. Requirements • Bachelor’s/master's in computer science, Statistics, Mathematics, or related field. • 3+ years of experience in data science roles, with a strong record of production-grade forecasting or predictive analytics projects. • Proficient in Python and key libraries (pandas, numpy, scikit-learn, statsmodels, Prophet, TensorFlow/PyTorch, etc.). • Hands-on experience with ML pipeline orchestration (Airflow, MLflow, or similar). • Experience with GenAI/NLP and unstructured data. • Familiarity with cloud platforms (AWS/GCP/Azure) and REST APIs. • Experience with SQL and databases. • Strong problem-solving, communication, and collaboration skills. • Exposure to SaaS/Subscription-based product environments is a plus. ## What We Offer • Opportunity to own and deliver a greenfield AI/ML forecasting platform. • Fast-paced, collaborative, and flexible work environment. • Competitive compensation and potential for long-term growth. We are looking for immediate joiners Interested candidates can send your resume to sarika.m@trueid.in

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Its an exciting opportunity to be part of India Business LFO team and to enhance knowledge about the local India business and will support ICS business. The candidate will play a key role in Financial Reporting & Analysis, Planning and forecasting activities and provide consultative finance support in the decision making process for the International Consumer Services (ICS) Business in India. The successful candidate will actively engage in cost benefit analysis (CBAs) , analyzing business performance and support decisions by engaging with the Business Partners. The candidate will also contribute to ongoing Enterprise wide market initiatives such as Project Fusion including cost tracking and keep an eye on any changes in underlying statement of records and downstream impacts on Finance processes pre and post Fusion go live, Regular and timely Project Cost monitoring and sharing regular updates on actuals costs vs plan and evaluating Cost Benefits Analysis and P&L impacts due to changes in product line strategies. Minimum Qualifications CA/ MBA (Finance) with 3-5 years of experience OR Post Graduate in Business, Finance, Economics, Statistics or a related field from a premier institute with 3-5 years of experience. Strong understanding of card business economics, P&L, regulatory requirements etc. Solid ability to adopt a broad perspective and link business strategies to specific initiatives. Understanding of business products Working knowledge of statistical modeling & data science Knowledge of statistical software (SAS, SQL, Machine Learning) and manipulating large and complex data sets; experience with cornerstone preferred American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. For more details reach out to me at mahak.maheshwari@aexp.com

Job Summary We are seeking a highly skilled and detail-oriented Senior SQL Data Analyst to join our data-driven team. This role will be responsible for leveraging advanced SQL skills to extract, analyze, and interpret complex datasets, delivering actionable insights to support business decisions. You will work closely with cross-functional teams to identify trends, solve problems, and drive data-informed strategies across the organization. Key Responsibilities Develop, write, and optimize advanced SQL queries to retrieve and analyze data from multiple sources. Design and maintain complex data models, dashboards, and reports. Collaborate with stakeholders to understand business needs and translate them into analytical requirements. Conduct deep-dive analysis to identify key business trends and opportunities for growth or improvement. Ensure data integrity and accuracy across systems and reporting tools. Automate recurring reports and develop scalable data pipelines. Present findings in a clear, compelling way to both technical and non-technical audiences. Qualifications Required: Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field. 5+ years of experience in data analysis or a similar role with a strong focus on SQL. Expert proficiency in SQL (window functions, joins, CTEs, indexing, etc.). Strong understanding of data warehousing concepts and relational database systems (e.g., PostgreSQL, SQL Server, Snowflake, Redshift). Experience with BI tools like Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Preferred Experience with scripting languages (Python, R) for data manipulation. Familiarity with cloud data platforms (AWS, Azure). Knowledge of ETL tools and best practices. Previous experience in a fast-paced, agile environment.

We are seeking an experienced Data Science Engineer with 1+ years of experience implementing AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You Will Work On We are looking for a self-driven Data Science Professional to be a member of our Data & AI Practice. We help many of our clients in building advanced analytics solutions (from traditional ML to deep learning, Computer Vision, Gen AI & Automation). You will work on some of the cutting-edge AI technologies to build meaningful products & solutions. Job Location: Pune What You Will Do (Responsibilities) Perform high-level work both independently and collaboratively as a project member. Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approaches Develop Computer Vision, NLP, Deep Learning, multi-modal Gen AI based application features & demos according to the requirements and needs. Explore new tools, technologies, frameworks in ML, DL, CV, Gen AI technologies and experiments. What You Bring (Skills) 1+ years of end-to-end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building AI application Sound knowledge in Linear Algebra, Statistics, Probability Strong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc. Experience with machine learning, deep learning, and/or NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.) Sound Knowledge of deep learning models for computer vision tasks. Understanding of image processing, Object detection frameworks and image classification areas Sound Knowledge in Generative AI /LLM’s models, frameworks, tools & technologies. Experience in Prompt Engineering & Langchain / LlamaIndex. Excellent analytical, problem solving and communication skills Great If You Know (Skills) Experience in Vector search, RAG frameworks, Function Calling, Agentic Frameworks Exposure to Cloud-based services such as AWS (Preferred), Azure or GCP Experience with async programming and RESTful APIs (FastAPI) Sound understanding of CI-CD, Containerization & Orchestration Experience with Scrum and/or other Agile development processes Exposure to MlOps, LLMOps – model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspects Sound understanding of data visualization aspects Advantage Cognologix A higher degree of autonomy, startup culture & small teams Opportunities to become an expert in emerging technologies Remote working options for the right maturity level Competitive salary & family benefits Performance based career advancement About Cognologix Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals. We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way. Minimum Experience 1-2 Years Top Skill AI Application, Python, ML, Deep Learning, NLP/NLG Frameworks, Image Processing, Object detection Framework Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name* Middle Name Last Name* Email* Mobile Phone Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) Employer Education

We are seeking an experienced Data Science Engineer with 3+ years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You Will Work On We are looking for a self-driven Data Science Professional to be a key member of our Data & AI Practice. We help many of our clients in building advanced analytics solutions (from traditional ML to deep learning, Computer Vision, Gen AI & Automation). You will work on some of the cutting-edge AI technologies to build meaningful products & solutions. Job Location: Pune What You Will Do (Responsibilities) Perform high-level work both independently and collaboratively as a project member. Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approaches Develop Computer Vision, NLP, Deep Learning, multi-modal Gen AI based applications & demos according to the requirements and needs. Select appropriate datasets and data representation methods. Explore new tools, technologies, frameworks in ML, DL, CV, Gen AI technologies and experiments. Mentor, guide junior team members What You Bring (Skills) 3+ years of end-to-end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applications Sound knowledge in Linear Algebra, Statistics, Probability Strong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc. Experience with machine learning, deep learning, and/or NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.) Knowledge of training and deploying deep learning models for computer vision tasks. Knowledge of image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification. Sound Knowledge in Generative AI /LLM’s models, frameworks, tools & technologies. Experience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document Processing Experience in Cloud-based services such as AWS (Preferred), Azure or GCP Experience with async programming and RESTful APIs (FastAPI) Sound understanding of CI-CD, Containerization & Orchestration Excellent analytical, problem solving and communication skills Great If You Know (Skills) Experience with Scrum and/or other Agile development processes Exposure to MlOps, LLMOps – model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspects Sound understanding of data visualization aspects Advantage Cognologix A higher degree of autonomy, startup culture & small teams Opportunities to become an expert in emerging technologies Remote working options for the right maturity level Competitive salary & family benefits Performance based career advancement About Cognologix Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals. We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way. Minimum Experience 3 Years Top Skill AI Application, Python, ML, Deep Learning, NLP/NLG Frameworks, Image Processing, Object detection Framework Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name* Middle Name Last Name* Email* Mobile Phone Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) Employer Education

Intelligent Image Management Inc (IIMI) is an IT Services company reimagines and digitizes data through document automation using modern, cloud-native app development. As one of the world's leading multinational IT services companies with offices in the USA and Singapore, India, Sri Lanka, Bangladesh, Nepal and Kenya. Over 7,000 people are employed by IIMI worldwide whose mission is to advance data process automation. US and European Fortune 500 companies are among our clients. Become part of a team that puts its people first. Founded in 1996, Intelligent Image Management Inc. has always believed in its people. We strive to foster an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Website: https://www.iimdirect.com/ About the Role: We are looking for a highly experienced and driven Senior Data Scientist to join our advanced AI and Data Science team. You will play a key role in building and deploying machine learning models—especially in the areas of computer vision, document image processing, and large language models (LLMs) . This role requires a combination of hands-on technical skills and the ability to design scalable ML solutions that solve real-world business problems. Key Responsibilities: Design and develop end-to-end machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment. Lead complex ML projects using deep learning, computer vision, and document analysis methods (e.g., object detection, image classification, segmentation, layout analysis). Build solutions for document image processing using tools like Google Cloud Vision, AWS Textract , and OCR libraries. Apply LLMs (Large Language Models), both open-source (e.g., LLaMA, Mistral, Falcon, GPT-NeoX) and closed-source (e.g., OpenAI GPT, Claude, Gemini), to automate text understanding, extraction, summarization, classification, and question-answering tasks. Integrate LLMs into applications for intelligent document processing, NER, semantic search, embeddings, and chat-based interfaces. Use Python (along with libraries such as OpenCV, PyTorch, TensorFlow, Hugging Face Transformers) and for building scalable, multi-threaded data processing pipelines. Implement and maintain ML Ops practices using tools such as MLflow, AWS SageMaker, GCP AI Platform , and containerized deployments. Collaborate with engineering and product teams to embed ML models into scalable production systems. Stay up to date with emerging research and best practices in machine learning, LLMs, and document AI. Required Qualifications: Bachelor’s or master’s degree in computer science, Mathematics, Statistics, Engineering, or a related field. Minimum 5 years of experience in machine learning, data science, or AI engineering roles. Strong background in deep learning, computer vision, and document image processing . Practical experience with LLMs (open and closed source), including fine-tuning, prompt engineering, and inference optimization. Solid grasp of MLOps , model versioning, and model lifecycle management. Expertise in Python , with strong knowledge of ML and CV libraries. Experience with Java and multi-threading is a plus. Familiarity with NLP tasks including Named Entity Recognition , classification, embeddings , and text summarization . Experience with cloud platforms (AWS/GCP) and their ML toolkits Preferred Skills: • Experience with retrieval-augmented generation (RAG), vector databases, and LLM evaluation tools. • Exposure to CI/CD for ML workflows and best practices in production ML. • Ability to mentor junior team members and lead cross-functional AI projects. Work Location: Work from Office/Hybrid Send cover letter, complete resume, and references to email: tech.jobs@iimdirect.com Industry: Outsourcing/Offshoring Employment Type Full-time

Role: CECL & Qual Location: Bangalore, Hyderabad, Mumbai, Pune, Gurgaon Notice: Immediate to 60 days Experience: 3+ years A career in our Balance Sheet Management practice, within Financial Risk and Regulatory services, will provide you with the opportunity to help business leaders embed a proactive and dynamic risk management capability and mind set into their corporate business practices. From strategy through to implementation, we help put in place people, processes and technology so they can leverage financial risk management to identify new opportunities and pursue success as smoothly, systematically and sustainably as possible in the face of changing markets, technologies and competition. Our team provides our clients with gap assessments as well as design and implement processes to facilitate asset and liability management, funding and liquidity planning and stress testing, and capital management. You’ll help build tools that enable our clients to efficiently utilize capital and liquidity resources, consistent with regulatory expectations. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a CECL Analyst, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. As a member of the Risk & Regulatory Advisory team, you will advise financial institutions on a broad range of credit risk management topics including, organization and governance; credit process optimization; risk rating model design, build and implementation; and Current Expected Credit Losses (CECL) process and tools. You will work on a team evaluating, designing, and implementing credit risk strategies to support our clients in addressing key market challenges focused on credit risk. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 3 year(s) Preferred Qualifications: Master Degree Preferred Fields of Study: Business Administration/Management, Mathematics, Statistics, Finance, Accounting, Economics Demonstrates a thorough level of abilities and/or a proven record of success in how to lead or facilitate relevant project management or client consultations in the areas of credit-related activities and credit risk management, preferably in some combination of the following areas: Possessing knowledge of Allowance for Credit Losses, including methodology, models, and US GAAP requirements under Current Expected Credit Losses (CECL) and knowledge of IFRS 9; Strong writing and communication skills across complex accounting, credit, and model topics Experience in the reserve, finance, or controllership organization at a large financial institution Experience in designing, building, and/or validating qualitative reserves for financial institutions across a broad array of asset classes, including both consumer and commercial loans. Demonstrates a thorough level of abilities and/or a proven record of success with designing and implementing process improvement solutions, leveraging PC applications including MS Office (Word, Excel, Access, PowerPoint), where applicable, including: Knowledge of typical credit reserve methodologies used at financial institutions to determine the allowance for loan losses (i.e., Credit Reserve, ACL, or CECL). Operating successfully as both an individual contributor and team member, identifying and addressing client needs. Preparing, coordinating, and delivering complex written and verbal materials to clients and senior management (e.g., PPT presentations, summary reports/ memos, oral presentations); Collaborating with teams to create a proven atmosphere of trust, seeking diverse views to encourage improvement and innovation, and coaching staff, including providing timely meaningful written and verbal feedback; Identifying and addressing client needs by building and maintaining trust (e.g.,client relationship management); Considering cross-cultural differences, seeking diverse views to encourage improvement and innovation, and fostering a global mindset for the team; Demonstrating experience in working with and managing on-shore and off-shore teams; Demonstrating thorough ability to communicate project goals and objectives, project status and deliverables, building consensus and presenting standard industry practices/point of view effectively; and, Keeping leadership informed of progress and issues.

The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality. Health Catalyst is expanding and maintains a large suite of Improvement Apps that contribute to healthcare analytics and process improvement solutions. This includes products that manage the care of health system populations, better serve patients at the point of care, reduce health system costs, and reduce clinician workload. Job Summary: As a Software development engineer, you will be working with diverse Improvement Apps, software engineering team designing, developing, and maintaining various platforms that serve internal HCAT team members, clinicians, and patients. You will rely on Test-Driven Development to safely enhance and refactor our system, shipping production code multiple times per week. And you will go to bed each night with the comfort that your code is improving outcomes for patients. If you love… Help drive clarity and prototype individual features or problems Knowledge of architecture patterns and the ability to design and complete features / tasks that are 50-60% well defined. Can discern where gaps can be filled in without consulting a Product Manager or another programmer and can judge when a consultation is needed. Work is reviewed with the occasional need for material direction or implementation changes Seeks and provides guidance via PR reviews, pair-programming and other interactions with Engineers and Product Managers It is second nature to develop high code quality standards balanced with the needs of real-world customer timelines. Possesses a passion and drive to deliver exceptional products and follows established patterns and approaches within existing code bases with ease. Takes ownership of learning and growth Capitalizes on internal and external opportunities for learning. Identifies gaps in knowledge/skills and seeks ways to close those gaps (self-guided learning, pairing, seeking guidance for yourself and developing guidance for less experienced members of the team) Periodic On Call Rotation Ability to communicate with Customer Success about customer issues that are escalated to Engineering and help quantify customer impact. Can Respond quickly to operational emergencies, find short term resolutions and plan long term fixes to avoid similar issues in the future. What you own in the role: Interpreting data, analyzing results, using statistical techniques and providing ongoing reports relating to how patients engage with content. Contribute to the design and implementation of databases, data collection systems, data analytics and other strategies that optimize statistical analysis and data quality used in Health Catalyst’s ML/AI services. Acquiring data from primary or secondary data sources, extracting data sets from relational databases, and maintaining databases/data systems that can be incorporated into our data products. Filtering and “cleaning” data by reviewing reports and performance indicators to locate and correct code problems. Working with management to prioritize business and information needs. Locating and defining new process improvement opportunities. What you bring to this role: Bachelor's degree or equivalent practical experience preferred. Strong working knowledge of C#/.Net/ Angular / Microservices/ DS&A Strong working knowledge of CI/CD Strong knowledge of and experience with cloud (azure) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy, in a timely manner Adept at constructing efficient queries, writing reports and presenting findings Ability to manage multiple and simultaneous responsibilities and to prioritize scheduling of work Strong verbal and written communication skills 5+ years work experience as a app developer BS or MS in Statistics, Mathematics, Economics, Computer Science, Information Management, or a similar field An understanding of healthcare data is a plus, but not a requirement You may also bring: Experience with cloud infrastructure and architecture patterns, either Azure or AWS preferred. Software development experience within healthcare IT and understands key data models (clinical, claims, financial, etc.) and interoperability standards such as HL7v2, CDA, EMR, and FHIR Knowledge of healthcare compliance and how it applies to Application Security Agile/Scrum software development practices Business Intelligence or Data warehousing experience Preferred Experience and Education: BS/BA or MS in Computer science, information systems, or other technology/science degree. A minimum of 5 years of experience in building commercial software, SaaS, or digital platforms.

About VOIS In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. About VOIS India VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, _VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone Job Description Role purpose: The Business/Process Improvement Lead assist with planning and is responsible for the effective delivery of activities that improve the business performance of and within Vodafone, including business process re-engineering, Process Improvements and Process Architects. Manages a Team of Process Re-Engineering Experts and mentors them on various tools and technologies. The Business/Process Improvement Lead deliver to the organisation the appropriate methodology, tools and processes to perform in an optimum way. Analysing the performance and trends, through KPI analysis and reporting, whilst conducting various qualitative reviews to provide continuous improvement programmes and deliver demonstrable and quantifiable benefits. Core Competencies, Knowledge And Experience Knowledge of process improvement (e.g., Lean, Six Sigma Black Belt), automation, and rationalisation methodologies Functional experience (i.e., Finance / Enterprise Operation and Processes) and Strong understanding of the business processes Strong commercial experience in a global technology / managed services environment Experience in continuous improvement/ process improvement and design Experience of data analytics, statistics, data insights reporting Experience in working in an Agile Organisation / Model Must Have Technical Qualifications Lean / Six Sigma Black Belt Certified Consultancy / Advisory / Process Improvement experience Hands on Agile Experience VOIS Equal Opportunity Employer Commitment India VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Position Summary We are currently seeking a skilled Billing Administrator to join the APAC Shared Services team. The successful candidate will be responsible to performs all clerical functions related to billing including compiling, computing, accounting, and recording basic figures and statistics related to billing. Success will come from the ability to multitask, learn quickly, listen effectively, have strong communication skills and work collaboratively within the team. Job Responsibilities Prepare invoices along with all related documentation and reports. Communicate with customers and relevant parties on billing verification and related matters. Ensure billing instructions are followed to minimize errors. Ensure invoices are completed and sent to customers within the agreed timeline. Maintain proper filing and record-keeping of billing-related documents. Ensure the accuracy of billing information generated from the system. Ensure the confidential pricing to customers is properly kept and not exposed to irrelevant parties. Collaborate with the collections team and customers to resolve invoice disputes. Coordinate with other departments and relevant parties to address customer queries within a reasonable or agreed timeline. Prepare weekly and monthly billing reports, including Work-in-Progress (WIP) reports. Perform month-end close activities related to billing. Handle other invoicing tasks assigned by the immediate superior, including ad hoc reporting. Required skills and qualifications. Bachelor’s degree in finance, accounting, or a related field. Experience with SAP software preferred. High degree of proficiency in MS Office Suite, Outlook & Internet applications Strong verbal and written communication skills (including analysis, interpretation, & reasoning) Ability to develop and maintain collaborative relationships with peers and colleagues across the organization and with internal and external clients. Ability to work well independently and within a team in a fast-paced, deadline-oriented environment. Self-motivated with critical attention to detail, deadlines and reporting. Ability to work overtime as necessary.

About the Organization : IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities. Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team’s charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platform growth & engagement) will be part of the digital team at IndusInd Bank and will help uncover insights that help drive the digital strategy and optimize customer experience. About the role : You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams. Overall, Job Description Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Well versed with necessary data reprocessing and feature engineering skills. Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes. Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy. Experience in establishing/scaling up data science functions Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes Work with product, growth, and marketing teams across product/campaign lifecycle Empower product and marketing teams by creating automated dashboards and reports using PowerBI Skills/Capabilities Model development experience in R, Python, SAS Strong and in-depth understanding of statistics Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems Ability to build & use relationships and influence broadly across the organization Results driven with strong project management skills, ability to work on multiple priorities Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

Experience: 4 - 11 years Location: Bangalore, noida, gurgaon, pune, indore, hyderabad Job Description Hands-on experience working with SAS to Python conversions. Strong mathematics and statistics skills. Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data Storytelling, Business Communication, and Documentation Programming Skills – SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning, and Model performance metrics MLOps, Data Pipeline, Data Engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure, and Databricks Optional - Databricks, Big Data -Basic knowledge of Spark, Hive Roles & Responsibilities Responsilbe for SAS to python code conversion. Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills Develop and deploy cloud-based applications, including LLM/GenAI, into production.

Role - Credit Risk - GenAI Location - Bangalore, Hyderabad, Pune, Mumbai, Gurgaon Notice - Immediate to 60 days Experience - 2 to 7 years Overview PwC is one of the most prestigious professional services firms in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and is a driver of, industry-leading practices and has a deep knowledge of regulatory expectations. R&R professionals’ experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations, and economic capital estimation. Risk Analytics Center of Excellence (CoE), is the India extension of the R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM, etc., and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting-edge innovation using Data Science, Artificial Intelligence, Machine Learning, and Deep Learning. AI/ML & Credit Risk Analytics Professional – Job Specification: Candidate would be responsible for developing, validating, auditing, and maintaining AI/ML-powered credit risk models. Candidates would be expected to support financial institutions in meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level: 2–6 years of relevant experience Location: Bangalore About the Team The Risk Analytics Center of Excellence (CoE) is an integral part of PwC US’s Risk and Regulatory (R&R) practice, delivering advanced quantitative risk solutions to global banks and financial institutions. Our team is composed of highly skilled professionals with deep expertise across credit risk modeling, AI/ML development, model validation, and regulatory compliance. We apply a combination of traditional statistical approaches and advanced AI/ML techniques to solve complex risk challenges across portfolios and geographies. Role Overview We are looking for high-caliber professionals with strong foundations in credit risk modeling and hands-on experience in AI/ML techniques. The ideal candidate will contribute to the development and validation of regulatory and strategic risk models, while also applying machine learning and generative AI techniques to enhance model accuracy, efficiency, and interpretability. Key Responsibilities Develop, validate, and document credit risk models (PD, LGD, EAD) for retail and wholesale portfolios across regulatory (CECL, IFRS 9, Basel) and business-use contexts. Apply AI/ML algorithms (e.g., LightGBM, XGBoost, Random Forest, Neural Networks) to improve prediction power and model performance beyond traditional approaches. Implement Generative AI and LLM-based applications using RAG pipelines, document intelligence, and model documentation automation. Experience with agentic frameworks like Autogen, LangChain, or similar would be helpful. Experience of development and deployment of models in cloud-based platforms such as Azure, AWS, GCP etc. Design explainable AI solutions by incorporating techniques like SHAP, LIME, and feature attribution methods to enhance transparency in high-stakes modeling environments. Partner with cross-functional teams, including business stakeholders, technology teams, and model governance, to ensure model alignment with business objectives and regulatory expectations. Contribute to innovation initiatives and support proposal development, thought leadership, and solution architecture in the AI/ML space. Required Skills & Experience 2–6 years of total experience, with minimum 2 years in AI/ML or GenAI model development or validation. Strong understanding of credit risk modeling frameworks, scorecard development, and risk metrics (e.g., RWA, Expected Loss, Economic Capital). Proficient in Python and SQL, with hands-on experience using ML libraries such as scikit-learn, Tensorflow, Pytorch and transformer-based LLM packages Familiarity with regulatory standards such as CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR 11-7, and model governance best practices. Exposure to cloud environments (Azure preferred), version control (Git), and workflow automation tools. Experience with credit bureau data, vendor models (e.g., FICO, Moody’s, S&P), and financial benchmarking is a plus. Ability to clearly communicate complex technical content to non-technical stakeholders through reports, dashboards, and presentations. Education & Certifications Master’s degree or higher in Statistics, Mathematics, Economics, Data Science, Engineering, or Finance. Professional certifications such as FRM, CFA, CQF, or in product management equivalent are preferred. Contributions to opensource AI / ML projects and competitions is preferred

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : Data Analytics,Data Analysis,Python,R,MySQL,Cloud,AWS,Bigdata,Big Data Platforms,Business Intelligence (BI),Tableau,Data Science,Statistical Modeling Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Primary Responsibility: Collect, clean, and analyze data from various sources. Assist in creating dashboards, reports, and visualizations. We are looking for a highly motivated Data Analyst Intern to join our team remotely. As a Data Analyst Intern, you will work closely with our data team to collect, clean, analyze, and visualize data to provide actionable insights. This internship is an excellent opportunity to gain hands-on experience in data analytics while working on real-world projects. Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Requirement: Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Strong analytical and problem-solving skills. Proficiency in Excel and SQL for data analysis. Experience with data visualization tools like Power BI, Tableau, or Google Data Studio. Basic knowledge of Python or R for data analysis is a plus. Understanding of statistical methods and data modeling concepts. Strong attention to detail and ability to work independently. Excellent communication skills to present insights clearly. Preferred Skills: Experience with big data technologies (Google BigQuery, AWS, etc.). Familiarity with machine learning techniques and predictive modeling. Knowledge of business intelligence (BI) tools and reporting frameworks. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

POSITION: MANAGER/SR MANAGER: GRANT WRITING TEAM: SAURAMANDALA FOUNDATION - CORE SALARY RANGE: INR 12-14 LPA LOCATION: BENGALURU (HYBRID) ABOUT SAURAMANDALA FOUNDATION- CFAD Sauramandala Foundation is an NGO founded in 2018 with a vision to bring about systemic change in the lives of remote communities through empathetic, collaborative, and contextual solutions that are co-created with the communities themselves. The Centre for Accelerated Development (CFAD) by Sauramandala Foundation is a public policy framework that addresses the challenges remote and inaccessible communities face by accelerating social and economic change through collaborative action, working with the government to scale up programs to increase impact. ABOUT THE ROLE In the next five years, Sauramandala Foundation aims to scale some of the proven social impact initiatives in Northeast and Eastern regions of the country, possibly other geographies. These scaling initiatives are usually done through government and social impact organizations operating in those states. However, the Foundation brings additional technical and funding resources to augment co-designing and contextualizing the social impact in the state in the first few years. The Manager/ Sr. Manager shall work with the KM Team, Founding Team, and Partnership Leads to discuss the pitch and create the narrative around the pitch. Besides grant writing itself, the Manager/ Sr. Manager is also responsible for drafting and finalizing the key reports for submission to the donors and/or publishing by the Foundation. The two key roles for this position are: Drafting, finalizing, and communicating the grant proposals for submission to the donors (80%) Drafting, finalizing and, communicating key project impacts in the form of impact reports to the donors and general audience (20%) WHAT WILL YOU DO AS THE MANAGER/SR MANAGER - GRANT WRITING? Maintain an active donor pipeline: Curate a pipeline of the domestic and international donors, assign stages and priorities to the donors. Donor CRM: Leverage the donor CRM consists of donor profiles, contacts, and intelligence to qualify leaders and add to the active donor pipeline. Pitch discussion: Carry out desk research, discussion with the donors, and previous grantee to understand the donor priorities and preferences, discuss with the teams to finalise the pitch point. Grant Writing: Based on the pitch point, write the grant proposal. The proposal can be in various shapes and sizes - full proposal, short proposal, concept note, among others and formats - document, presentation, or a web form. Impact reporting: Based on the M&E data and target audience, discuss a narrative to communicate the project outputs and impacts in the form of impact reports to the donors and general public. WHO ARE WE LOOKING FOR? Candidate Profile: The ideal candidate for the position brings a mix of grant writing, research, and communication experiences and skills in the social impact space. It will help to have some experiences in one or more areas of agriculture-based livelihoods, youth development, and enterprise promotion. The candidate shall have 4 to 8 years of relevant experiences in grant research and writing. The writing should include writing professional reports and producing narratives for general audiences as well. The candidate should bring relevant experience in quantitative and qualitative research, especially good understanding of descriptive statistics and data analysis using MS-Excel. The candidate should have an undergraduate or a graduate degree in any branch of social sciences (preferably in Economics, Sociology, Social Work, and Geography) or in humanities with relevant experiences and graduate studies from a recognized university or institution. The candidate should have a moderate to high degree of proficiency in using word processing, spreadsheets, presentation, and diagramming software. The candidate should have a high degree of skills in organizing information and time.

Job Summary: The Student Placements Expert plays a key role in overseeing the placement process for students and building strategic relationships with industry professionals. This role requires strong networking skills, excellent communication, and a deep understanding of industry needs. You will collaborate with students, faculty, and employers to ensure successful placements and foster long-term industry partnerships. Key Responsibilities: Placement Coordination for both ISBF and JIMS Campuses . Manage the overall placement process, including job postings, campus recruitment drives, and placement-related events. Work with students to understand their career aspirations and match them with appropriate job opportunities. Coordinate with companies to organize recruitment drives, interviews, and assessment sessions. Assist students with interview preparation, resume building, and soft skills development. Track and maintain records of student placements, including job offers and feedback. Collaborate with faculty to ensure alignment of curriculum with industry demands. Industry Relationship Management: Build and maintain strong, long-term relationships with industry professionals, recruiters, and companies across various sectors. Develop a network of potential employers for internships, full-time positions, and collaborative projects. Organize industry visits, guest lectures, and webinars to provide students with valuable industry insights. Represent the institution at industry events, conferences, and job fairs to promote students and the institution. Provide companies with timely information about academic programs and student skill sets. Market Research & Industry Trends: Conduct research to identify emerging trends in the job market and ensure students develop relevant skills. Provide insights to academic teams on industry demands and emerging skill requirements. Partner with industry leaders to organize joint programs, workshops, and training sessions for students. Reporting & Documentation: Maintain accurate records of placements, employer engagement, and industry events. Generate regular reports on placement statistics and outcomes. Analyze placement data to continuously improve the placement process and industry relations efforts. Qualifications & Skills: Bachelor’s or Master’s degree in Business Administration, Human Resources, or related fields. Minimum of 10-12 years of experience in placement coordination, recruitment, or industry relations, preferably in an educational environment. Exceptional communication, interpersonal, and negotiation skills. Strong organizational and multitasking abilities. Proven ability to establish and maintain relationships with industry stakeholders. Knowledge of current job market trends, hiring practices, and industry requirements. Experience organizing events, career fairs, and recruitment initiatives. Proficiency in MS Office and placement management software. Preferred: Experience working within educational institutions or training organizations. Established network in various industries. Familiarity with online recruitment platforms and job portals.