399 Svm Jobs - Page 13

About Us: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communitie NetApp Storage Job Description: Responsibilities: • Provide L3-level support for NetApp CDOT in a NAS environment, ensuring high availability and performance. • Demonstrate in-depth expertise in NetApp C Mode, including cluster configuration, SVM/volume-based replication, LIFs setup and storage efficiency implementation. • Manage and troubleshoot SMB/CIFS shares, NFS exports and dual protocol shares, ensuring seamless data access and performance. • Perform performance analysis, troubleshooting and root cause analysis (RCA)using tools like NetApp Active IQ Manager, OCUM and OnCommand System Manager. • Plan and execute patch/microcode upgrades and data migration from other storage arrays to NetApp C Mode, following ITIL Change Management • Lead Problem Management activities, including identifying, diagnosing and resolving complex storage issues. • Configure and manage Cluster Aggregates, Volumes, Qtrees, Snapshots and SVMs, adhering to industry best practices. • Perform capacity planning like monitor storage usage, forecast future needs, and implement strategies for optimal storage utilization • Collaborate with vendors and cross-functional teams to resolve complex technical issues and ensure smooth operations. • Perform migration task and ability to work on migration / planning of storage from old new hardware • Mentor BAU support teams, contribute as individual contributors and translate business requirements into scalable technology solutions. • DR configuration and implementation. Skills: • Deep knowledge of NetApp ONTAP: Thorough understanding of ONTAP functionality, configuration, and troubleshooting techniques. • Experience with SAN/NAS: Familiarity with storage area networks (SAN) and network-attached storage (NAS) technologies. • Troubleshooting expertise: Ability to diagnose and resolve complex storage issues. • Strong communication skills: Ability to communicate technical information clearly and concisely. • Networking knowledge: Understanding of networking protocols and concepts. • Relevant certifications: NetApp certifications (e.g., NetApp Certified Administrator) are often preferred. Show more Show less

Description In this role the Account Manager will manage a set of critical seller accounts which contribute to 20%+ business of the category. He/She/They will be responsible to develop strong relationships with top sellers in the category and drive improvements in customer facing inputs and achieve category objectives. Key job responsibilities Managing the seller relationship by championing the seller’s needs at Amazon. Build strong communication channels at all levels of the seller’s organization, set proper expectations, provide clear status communications, and manage towards a growth plan. Managing and driving the growth of the seller’s business: Build and execute on a strategic account plan that delivers on key business opportunities for the seller and Amazon. Managing key improvement initiatives and projects: Drive new product launches and relationship extensions by partnering with the business development and onboarding teams. Work with sellers to improve operational aspects of their business in providing a great consumer experience. Analyzing the business: Conduct deep dive analysis and provide routine executive-level reporting on the seller’s current business and future opportunities. Publish recommendations and action plans based on data. Basic Qualifications 2+ years of sales experience Experience analyzing data and best practices to assess performance drivers Preferred Qualifications Experience meeting revenue targets and quotas Experience in e-commerce Experience working in a fast-paced and highly cross-functional organization Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Haryana Job ID: A2982102 Show more Show less

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Architecture Management Level Senior Associate Job Description & Summary PwC is one of the most prestigious professional services firm in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s 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 R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of 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. Fraud/AML Risk Analytics Professional Job Specification Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 3-6 years of experience; Location: Bangalore Core Skill Requirements Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include: Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning. Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc. Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities. Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions. Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc. Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment. Non-functional Skill Requirements In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date August 23, 2024 Show more Show less

Ref: SCH-SVMAT-0779 1 day(s) remaining Establishment: Stowe Valley Multi Academy Trust Location: Multi-Site Salary: 20489.91 - 22187.17 Department: MAT Central Job Type: Part Time Closing Date: 05/06/2025 09:00 Interview Date: - Start Date: ASAP Additional Information Contract Type: Permanent Contract Term: TTO Plus - Term time only plus weeks Hours per Week: 37.00 Weeks per Year: 52.143 Pay Grade: Scale F 6-11 plus travel expenses The Role Stowe Valley Multi Academy Trust c/o Southam College Welsh Road West Southam, CV47 0JW Tel: 01926 812560 www.southamcollege.com CEO: R S Samra BA. MA Multi Site Teaching Assistant Level 2 Term Time Only - plus 5 Inset days 35 hours per week, Monday-Friday (working pattern to be agreed) Scale F 6-11 plus travel expenses £20,489.91 pay award pending We are thrilled to offer a new and exciting Teaching Assistant (TA) role within Stowe Valley MAT. The Multi Site TA role will work across three of our small primary schools: Stockton Primary, Temple Herdewyke and Byfield Primary School, supporting pupils with SEN. The successful candidate will be calm, patient, understanding and nurturing and will enjoy working with a varied staff group as well as pupils with a range of needs. We strive to provide high quality education for all students and we are looking to recruit someone to support our students across the Trust in fulfilling their academic potential and enabling them to become ‘the best they can be’. An understanding of how every member of staff contributes to this is essential. All applications are via our online platform and can be found on the Vacancies section of the Stowe Valley Multi Academy Trust website www.stowevalleymat.com. We will not accept CVs for this post. Strong applications may be considered on receipt. The trust is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. This post is subject to an Enhanced DBS Disclosure. COMMITTED TO EQUAL OPPORTUNITIES Qualifications Qualification Title Grade TA2 qualification or equivalent or relevant experience Essential Related Documents Privacy Notice SVM-Privacy_Notice_for_Applicant -2024-25.pdf Download Safer Recruitment Statement SaferRecruitmentStatement.pdf Download Short Listed Candidate Self Disclosure Form Self-DisclosureforShortlistedCandidates.docx Download Job Description Job Description JD8.00 TA 2.pdf Download Safeguarding Information Stowe Valley Multi Academy Trust is committed to safeguarding and promoting the welfare of young people and vulnerable adults, and all appointments are subject to enhanced Disclosure & Barring Service (DBS) checks and satisfactory references. Stowe Valley Multi Academy Trust is also committed to promoting equality, challenging discrimination and developing community cohesion. We welcome applications from all sections of the community. Apply for this role Submit your application today with our simple application process Apply Now Back Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motor 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. 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. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 5 years of experience in at least one of the following languages: Python, R 5 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 1+ years of experience in developing LLM solutions for Enterprise Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Show more Show less

Company Qualcomm India Private Limited Job Area Information Technology Group, Information Technology Group > IT Management General Summary Experience in engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven Data Science & ML solutions Functional & technical leadership in developing data science roadmap and guiding the team with end-to-end delivery (design, development, maintenance, and optimization) of advanced analytical solutions with focus on process standardization and best practices Proactive in reaching out to wide variety of stakeholders for increasing the awareness of Data Science, ML and GenAI capabilities and identifying business value driven opportunities Analyze the market and industry trends in the technology and proactively look for opportunities in bringing the best solutions 'Strong analytical skills with the ability to gather information from several sources and identify fundamental patterns/trends in data Conduct research, design statistical studies and develop solutions Develop Story Telling dashboards on analytics to assist business in decision making Implement deep learning models for structured and unstructured data sets Perform Time Series Analysis and Forecast (ARIMA, Exponential Smoothing, VAR etc.) Implementation experience with identifying, prototyping, developing and delivering GenAI solutions using Industry standard RAG models and frameworks Ability to develop capabilities in Text Analytics ranging from Basic to Advanced (Topic Modelling, NLP) Experience with AWS suite of Data Science and ML tools Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, Catboost etc.) 'Experience With Other Cloud Platforms (GCP And Azure) Understanding of Data Platforms and Data Engineering Exposure to ChatBot solutions and Automation technologies Minimum Qualifications 7+ years of IT-related work experience with a Bachelor's degree. OR 9+ years of IT-related work experience without a Bachelor’s degree. 4+ years in a leadership role in projects/programs. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3067263 Show more Show less

Location Name: Tirupati Job Purpose “This position is open with Bajaj Finance ltd.” Duties And Responsibilities  Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses  Monitor, maintain and improve all scorecards, policies and processes across portfolios and ensure its effectiveness  Support any adhoc deep dive data analysis on portfolio matrices  Track and improve key performance indicators, losses and portfolio quality. Provide deep dive analysis on portfolio matrices.  Building of ML based models to achieve maximum match and catch rate.  Building of ML based capabilities across the organization as on when required.  Work closely with business team to understand their need and provide Analytical solution.  Assess if any early warning signals using data analysis and segmentations and take pro-active policy actions as and when required  Support in managing and improving various offer strategies, control offer generation and distribution through data analysis  Work closely with Product, Sales and Risk teams to support business growth and drive new initiatives  Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently and all required changes are build and implemented suitably Required Qualifications And Experience  Relevant analytical experience in Scorecard development, ML modelling, Segmentation and Clustering.  Preferred languages: SAS, SQL, R/Python.  Classical stat techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing.  ML algo: KNN, NBM, DT, CART, Boosting & Bagging models, SVM, Neural net, Ensemble models etc.  Experience in handling huge data base and the ability to do root cause analysis.  Individual contributor with the capability to deliver projects within timeline  Effective verbal and written communication skills.  MBA / Post Graduate with 2-4 years’ experience in financial services Show more Show less

Key Responsibilities : · Develop predictive models using latest machine learning / statistical methods across the domains of Risk, customer & sales · Define and establish robust model evaluation & governance framework · Engage with the Risk & Model Committees · Responsible for the end-to-end development and implementation of all scorecards/risk monitoring framework across businesses · Stakeholder relationship management & control aspects of analytical project delivery Key Competencies / skill set : Should be a subject matter expert in the domain of credit risk Strong statistical knowledge and demonstrated hands-on experience in model development & management Working knowledge of R, Python or SAS is a must. Should be able to anchor stakeholder engagements Very strong presentation & communication skills Desired Candidate Profile Similar Profiles from Banks Resilience & ability to work in a dynamic environment Technical competence will be an important selection criterion Demonstrated hands-on experience in loss forecasting, scorecards & advanced analytics use cases Qualifications Post-graduation in Statistics or Economics or Quantitative Economics or Computer Science OR MBA (Finance / Quantitative Methods) Predictive model development Logistic/Linear Regression, Clustering, D-tree, Feature Selection, PCA SVM, Random Forest, Gradient Boost Experience : Candidate is required to have minimum 2-10 years of relevant work experience in statistical modeling in a Bank Show more Show less

MicrofinanceKhammam Posted On 23 Dec 2024 End Date 23 Dec 2025 Required Experience 2 - 4 Years BASIC SECTION Job Level GB03 Job Title Manager - Microfinance, South Risk & RCU, Risk FRM Job Location Country India State TELANGANA Region South City Khammam Location Name Khammam Tier Tier 3 Skills SKILL SKILLS AS PER JD Minimum Qualification OTHERS JOB DESCRIPTION Job Purpose “This position is open with Bajaj Finance ltd.” Duties and Responsibilities Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses Monitor, maintain and improve all scorecards, policies and processes across portfolios and ensure its effectiveness Support any adhoc deep dive data analysis on portfolio matrices Track and improve key performance indicators, losses and portfolio quality. Provide deep dive analysis on portfolio matrices. Building of ML based models to achieve maximum match and catch rate. Building of ML based capabilities across the organization as on when required. Work closely with business team to understand their need and provide Analytical solution. Assess if any early warning signals using data analysis and segmentations and take pro-active policy actions as and when required Support in managing and improving various offer strategies, control offer generation and distribution through data analysis Work closely with Product, Sales and Risk teams to support business growth and drive new initiatives Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently and all required changes are build and implemented suitably Required Qualifications and Experience Relevant analytical experience in Scorecard development, ML modelling, Segmentation and Clustering. Preferred languages: SAS, SQL, R/Python. Classical stat techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. ML algo: KNN, NBM, DT, CART, Boosting & Bagging models, SVM, Neural net, Ensemble models etc. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills. MBA / Post Graduate with 2-4 years’ experience in financial services

Country/Region: IN Requisition ID: 26015 Work Model: Position Type: Salary Range: Location: INDIA - NOIDA- BIRLASOFT OFFICE Title: Sr Technical Lead-Cloud & Infra Engg Description: Area(s) of responsibility About Us: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communitie NetApp Storage Job Description: Responsibilities: Provide L3-level support for NetApp CDOT in a NAS environment, ensuring high availability and performance. Demonstrate in-depth expertise in NetApp C Mode, including cluster configuration, SVM/volume-based replication, LIFs setup and storage efficiency implementation. Manage and troubleshoot SMB/CIFS shares, NFS exports and dual protocol shares, ensuring seamless data access and performance. Perform performance analysis, troubleshooting and root cause analysis (RCA)using tools like NetApp Active IQ Manager, OCUM and OnCommand System Manager. Plan and execute patch/microcode upgrades and data migration from other storage arrays to NetApp C Mode, following ITIL Change Management Lead Problem Management activities, including identifying, diagnosing and resolving complex storage issues. Configure and manage Cluster Aggregates, Volumes, Qtrees, Snapshots and SVMs, adhering to industry best practices. Perform capacity planning like monitor storage usage, forecast future needs, and implement strategies for optimal storage utilization Collaborate with vendors and cross-functional teams to resolve complex technical issues and ensure smooth operations. Perform migration task and ability to work on migration / planning of storage from old new hardware Mentor BAU support teams, contribute as individual contributors and translate business requirements into scalable technology solutions. DR configuration and implementation. Skills: Deep knowledge of NetApp ONTAP: Thorough understanding of ONTAP functionality, configuration, and troubleshooting techniques. Experience with SAN/NAS: Familiarity with storage area networks (SAN) and network-attached storage (NAS) technologies. Troubleshooting expertise: Ability to diagnose and resolve complex storage issues. Strong communication skills: Ability to communicate technical information clearly and concisely. Networking knowledge: Understanding of networking protocols and concepts. Relevant certifications: NetApp certifications (e.g., NetApp Certified Administrator) are often preferred.

MicrofinanceTirupati Posted On 23 Dec 2024 End Date 23 Dec 2025 Required Experience 2 - 4 Years BASIC SECTION Job Level GB03 Job Title Manager - Microfinance, South Risk & RCU, Risk FRM Job Location Country India State ANDHRA PRADESH Region South City Tirupati Location Name Tirupati Tier Tier 3 Skills SKILL SKILLS AS PER JD Minimum Qualification OTHERS JOB DESCRIPTION Job Purpose “This position is open with Bajaj Finance ltd.” Duties and Responsibilities Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses Monitor, maintain and improve all scorecards, policies and processes across portfolios and ensure its effectiveness Support any adhoc deep dive data analysis on portfolio matrices Track and improve key performance indicators, losses and portfolio quality. Provide deep dive analysis on portfolio matrices. Building of ML based models to achieve maximum match and catch rate. Building of ML based capabilities across the organization as on when required. Work closely with business team to understand their need and provide Analytical solution. Assess if any early warning signals using data analysis and segmentations and take pro-active policy actions as and when required Support in managing and improving various offer strategies, control offer generation and distribution through data analysis Work closely with Product, Sales and Risk teams to support business growth and drive new initiatives Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently and all required changes are build and implemented suitably Required Qualifications and Experience Relevant analytical experience in Scorecard development, ML modelling, Segmentation and Clustering. Preferred languages: SAS, SQL, R/Python. Classical stat techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. ML algo: KNN, NBM, DT, CART, Boosting & Bagging models, SVM, Neural net, Ensemble models etc. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills. MBA / Post Graduate with 2-4 years’ experience in financial services

Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. Job Specification / Skills and Competencies ▪Preferably current location Ernakulam/ Trivandrum ▪Willing to work in hybrid/ Remote mode ▪Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns Show more Show less

Company Description At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description Introduction: We are looking for an experienced professional to lead patient analytics projects, working closely with pharmaceutical clients to deliver robust analytical solutions. The ideal candidate should have strong technical expertise, hands-on experience with patient-level data, and the ability to engage directly with clients while guiding a team. Key Responsibilities Act as a subject matter expert to determine scientific and methodological aspects of RWE projects. Independently draft and edit high quality research proposals and statistical analysis plans. Guide team members with components of RWE analysis, such as, cohort creation, target/control creation, comorbidity analysis, adverse reactions, line of therapy, cost analysis, provider and payer analysis, KOL segmentation and targeting etc., based on clinical knowledge of disease area. Develop and apply data mining, statistical, machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets. Develop software solutions and applications using SQL, Python, and/or R. Responsible for review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs. Support the development of visualizations and presentations for client deliverables. Interface with EVERSANA analysts, data scientists, clinicians, program managers and with EVERSANA customers. Responsible for the development and delivery of projects within defined timelines. Respond to additional ad-hoc analysis requests. All other duties as assigned Qualifications 7-10 years of experience in data analytics and modeling, preferably around healthcare claims data and commercial analytics in the life science industry. Practical knowledge of statistics, statistical inference, and machine learning algorithms (deep learning, LSTM, SVM, CNN, GAN, and reinforcement learning) Hands-on experience and proficiency in SQL, Python, (pandas, scikit-learn, numpy, scipy) R, visualization tools, and software development within a Linux environment. Deep commercial awareness of the healthcare, health technology and pharmaceutical industry, gained through experience. High level of knowledge and analytic experience with real world data sources (e.g., EHR/EMR data, RWD, healthcare prescription / claims databases) as well as comprehensive understanding of the RWD supply chain and reimbursement policies Expertise in healthcare industry terminology and coding (e.g. NDC11, ICD9/ ICD10, HCPCS, CPT, LOINC) Works independently and is a self-starter MS PowerPoint presentation development skills Client interface and presentation skills Ability to lead by example Strong organizational skills, including ability to manage multiple deliverables across multiple projects. Significant consideration will be given to prior publications, independent software projects completed, and non-proprietary code authored by the candidate. Additional Information All your information will be kept confidential according to EEO guidelines. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on LinkedIn | Twitter Show more Show less

Job Description Job Title: Analyst Data Science About us : With over 200 brands sold in nearly 180 countries, we’re the world’s leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you’ll test new ideas, learn and grow, and unlock a brighter, more exciting future. Join us to create a career worth celebrating. About the Function: Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster. Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we’ll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. About the role : Experience / skills required: 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc. Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc. Strong language coding skills required in Python/pyspark. Knowledge & experience in SQL database & MLOps. Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc. Good to have skills in Natural Language Processing, Big Data Analytics, etc. Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting. Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus. Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results Flexible Working Statement: Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you’re supported from day one. Diversity statement: Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this. We embrace diversity in the broadest possible sense. This means that you’ll be welcomed and celebrated for who you are just by being you. You’ll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more. Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world. Feel inspired? Then this may be the opportunity for you. If you require a reasonable adjustment, please ensure that you capture this information when you submit your application. Worker Type Regular Primary Location: Bangalore Karle Town SEZ Additional Locations : Job Posting Start Date 2025-01-03 Show more Show less

Coditas Solutions is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Lead the design, implementation, and optimization of machine learning and AI models using Python and R. Develop and deploy scalable predictive models and decision-making systems for business-critical applications. Conduct advanced exploratory data analysis (EDA) to extract actionable insights from structured and unstructured data. Collaborate with data engineers to ensure high-quality, well-structured datasets for training and inference. Own the end-to-end model lifecycle, from development to deployment, monitoring, and continuous improvement. Guide the integration of AI/ML models into enterprise-level production systems in collaboration with software engineering teams. Provide technical leadership, mentoring junior data scientists and driving best practices in ML model development and deployment. Stay ahead of the curve by evaluating and implementing cutting-edge AI/ML advancements, including LLMs and GenAI models. Work closely with stakeholders, product teams, and clients to define business challenges and design AI-driven solutions. Drive model interpretability, explainability, and responsible AI practices within the organization. Technical Skills 6-14 years of hands-on experience in designing and implementing machine learning, deep learning, and AI solutions . Strong programming expertise in Python and R , with proficiency in implementing complex algorithms. Extensive experience with cloud platforms (AWS, Azure, GCP) for deploying scalable machine learning solutions. Proficiency in MLOps practices , ensuring robust model deployment, monitoring, and retraining workflows. Strong background in classical ML algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM) and deep learning architectures (CNNs, RNNs, Transformers). Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, OpenCV . Expertise in data preprocessing, feature engineering, and model evaluation for structured and unstructured data. Proven experience in selecting and engineering relevant features to enhance model performance. Understanding of LLMs (Large Language Models) and GenAI technologies , with the ability to optimize their usage for enterprise applications. Strong problem-solving, critical thinking, and analytical skills to drive AI/ML innovations. Exceptional communication and leadership skills , with experience in mentoring teams and collaborating with cross-functional stakeholders. Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization's growth and success. Show more Show less

We are looking for a passionate and skilled AI/ML Engineer with 1–3 years of hands-on experience in computer vision and conversational AI. The ideal candidate should have a strong foundation in machine learning, experience training custom object detection models (especially using YOLO), and working knowledge of OpenCV and AI/ML frameworks. Exposure to OpenAI's ChatGPT and chatbot development is essential. Any experience in AR/VR will be considered a plus. Key Responsibilities: Train and deploy custom object detection models using YOLO (v5/v7/v8 or YOLO-NAS) on custom datasets. Preprocess and annotate data for training using tools like Roboflow or CVAT. Implement and optimize object detection pipelines using OpenCV . Develop, fine-tune, and integrate AI chatbots using OpenAI's ChatGPT API or similar LLMs. Work with basic ML algorithms for classification, clustering, and regression tasks. Collaborate with cross-functional teams to design, test, and deploy AI solutions. Explore integration of AI solutions into AR/VR environments (basic knowledge sufficient). Maintain and improve model performance through continuous training and validation. Stay up-to-date with the latest trends and advancements in AI/ML. Required Skills: Strong understanding of YOLO object detection models and custom training pipelines. Proficiency in OpenCV for image processing and real-time applications. Experience with OpenAI's GPT models and chatbot development . Solid understanding of basic ML algorithms (e.g., decision trees, SVM, k-NN). Good programming skills in Python . Familiarity with AI/ML frameworks such as: TensorFlow PyTorch ONNX Runtime Scikit-learn Knowledge of tools like Roboflow, LabelImg, or FiftyOne. Git version control and experience working in agile environments. Preferred (Good to Have): Exposure to AR/VR technologies (Unity, Unreal, WebXR, etc.). Experience in deploying models to edge devices (e.g., Raspberry Pi , NVIDIA Jetson Show more Show less

Area(s) of responsibility About Us Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communitie Responsibilities NetApp Storage Job Description: Provide L3-level support for NetApp CDOT in a NAS environment, ensuring high availability and performance. Demonstrate in-depth expertise in NetApp C Mode, including cluster configuration, SVM/volume-based replication, LIFs setup and storage efficiency implementation. Manage and troubleshoot SMB/CIFS shares, NFS exports and dual protocol shares, ensuring seamless data access and performance. Perform performance analysis, troubleshooting and root cause analysis (RCA)using tools like NetApp Active IQ Manager, OCUM and OnCommand System Manager. Plan and execute patch/microcode upgrades and data migration from other storage arrays to NetApp C Mode, following ITIL Change Management Lead Problem Management activities, including identifying, diagnosing and resolving complex storage issues. Configure and manage Cluster Aggregates, Volumes, Qtrees, Snapshots and SVMs, adhering to industry best practices. Perform capacity planning like monitor storage usage, forecast future needs, and implement strategies for optimal storage utilization Collaborate with vendors and cross-functional teams to resolve complex technical issues and ensure smooth operations. Perform migration task and ability to work on migration / planning of storage from old new hardware Mentor BAU support teams, contribute as individual contributors and translate business requirements into scalable technology solutions. DR configuration and implementation. Skills Deep knowledge of NetApp ONTAP: Thorough understanding of ONTAP functionality, configuration, and troubleshooting techniques. Experience with SAN/NAS: Familiarity with storage area networks (SAN) and network-attached storage (NAS) technologies. Troubleshooting expertise: Ability to diagnose and resolve complex storage issues. Strong communication skills: Ability to communicate technical information clearly and concisely. Networking knowledge: Understanding of networking protocols and concepts. Relevant certifications: NetApp certifications (e.g., NetApp Certified Administrator) are often preferred. Show more Show less

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet. Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world. Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live. A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. Job Title: Assistant Manager, Business Analytics Travel Required?: Travel - up to 10% of time Date: Jun 3, 2025 Remote Relocation Assistance Offered Within Country Job Number #165136 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has chipped in to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the CBS Analytics team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape. What role will you play as a member of Colgate's Analytics team? The CBS Analytics vertical in Colgate Palmolive is passionate about working on reasons which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead CBS Analytics projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Efficiency, Forecasting etc. Data Scientist needs to handle relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who are you… You are a function expert - Leads Analytics projects within the Analytics Continuum Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built You connect the dots - Drive insights from internal and external data for business Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need Graduation/Masters in Statistics/ Applied Mathematics/ Computer Science 1+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Knowledge of using GitHub, Airflow for coding and model executions Handling, redefining, developing statistical models for RGM/Pricing and/or Marketing Efficiency and communicating insights decks to business Validated understanding on tools like Tableau, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What you’ll need…(Preferred) Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Shown understanding of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/communicating data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc Willingness and ability to experiment with new tools and techniques Good facilitation and project management skills Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc) Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet. Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world. Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live. A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. Job Title: Sr. Specialist, Decision Analytics Travel Required?: Travel - up to 10% of time Date: Jun 3, 2025 Remote Relocation Assistance Offered Within Country Job Number #165135 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has chipped in to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the CBS Analytics team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape. What role will you play as a member of Colgate's Analytics team? The CBS Analytics vertical in Colgate Palmolive is passionate about working on cases which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead CBS Analytics projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Efficiency, Forecasting etc. Data Scientist needs to manage relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who are you… You are a function expert - Leads Analytics projects within the Analytics Continuum Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built You connect the dots - Drive insights from internal and external data for business Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need Graduation/Masters in Statistics/ Applied Mathematics/ Computer Science 1+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Knowledge of using GitHub, Airflow for coding and model executions Leading, redefining, developing statistical models for RGM/Pricing and/or Marketing Efficiency and communicating insights decks to business Confirmed understanding on tools like Tableau, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What you’ll need…(Preferred) Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Proven understanding of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/presenting data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc Willingness and ability to experiment with new tools and techniques Good facilitation and project management skills Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc) Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

About the company : StuCred is a dynamic fintech company headquartered in Chennai, India, committed to transforming the financial landscape by providing innovative and accessible financial solutions to students and young professionals. What would you do? You will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions. Looking for Data Analyst role with 4 to 6 years of experience in the field of Finance with proficiency in Python, SQL, Excel etc. You should be highly analytical with a knack for analysis, math, and statistics. Critical thinking, problem-solving skills and understanding of the world of finance is critical. Knowledge of any visualization tool such as Power Bi or Tableau is a must. The responsibilities include but not limited to: Work closely with business to identify issues and use data to propose solutions for effective decision making. Build algorithms and design experiments to merge, manage, extract data to supply tailored reports to colleagues, customers, or the wider organization. Use machine learning tools and statistical techniques to solve problems. Create clear reports that tell compelling stories about how customers or clients work with the business. Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns. Well versed with techniques such as classification, Regression, SVM, Time series analysis, Decision trees etc. Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods. Horizon scan to stay up to date with the latest technology, techniques, and methods. Conduct research to develop prototypes and proof of concepts. Look for opportunities to use insights/datasets/code/models across other functions in the organization. What are we looking for? Bachelor's degree in Finance, Accounting, Economics, or a related field (advanced degree preferred). Battle-tested experience as a financial data analyst, ideally in fintech or financial services. Tech-savvy with expertise in data analysis tools and programming languages (e.g., Excel, SQL, Python, R) and data visualization tools like Power BI Proficiency in financial modeling and forecasting techniques. Stellar communication skills to convey complex financial concepts in a digestible manner. A collaborative spirit ready to thrive in cross-functional teams. Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹70,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Please list the data analytics tools that you are familiar with. Experience: Data analytics: 2 years (Required)

Company Description: Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description: The Staff ML Scientist will work with a team to conduct world-class Applied AI research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. Essential Functions: Formulate business problems as technical data problems while ensuring key business drivers are collected in collaboration product stakeholders. Work with product engineering to ensure implement-ability of solutions. Deliver prototypes and production code based on need. Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems. Build needed data transformations on structured and un-structured data. Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, analytics, and statistical techniques. Devise and implement methods for adaptive learning with controls on efficiency, methods for explaining model decisions where vital, model validation, A/B testing of models. Devise and implement methods for efficiently monitoring model efficiency and performance in production. Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production. Contribute to development and adoption of shared predictive analytics infrastructure. This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Basic Qualifications: • 7+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: • 7 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD • Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks. • Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++, or C#. • Experience with one or more common statistical tools such SAS, R, KNIME, MATLAB. • Deep learning experience with TensorFlow is a plus. • Experience with Natural Language Processing is a plus. • Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a must. • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus. Show more Show less

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Lead Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 6+ years in machine learning, 4+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING Show more Show less

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Senior Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 3+ years in machine learning, 2+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities - Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. - Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. -AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. - Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. -Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. -Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. -Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING Show more Show less

Key Responsibilities: Design and implement machine learning systems for business use cases Conduct applied ML research Read and implement research papers, especially in generative AI Mentor junior and mid-level data scientists Write production-grade code using object-oriented programming principles in Python Required Skills and Qualifications: In-depth understanding of statistics and probability Advanced proficiency in Python and object-oriented programming Strong grasp of data structures and algorithms Expertise in ML and deep learning libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch Deep understanding of supervised and unsupervised ML algorithms like Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM Knowledge of building LLM applications using frameworks like LangChain and LlamaIndex is a plus Experience with Transformer architectures and large language models is a plus Show more Show less