861 Data Mining Jobs - Page 34

www.rentomojo.com About the Company We, RentoMojo, were founded by IITM alums and serial entrepreneurs who worked out of almost every major city in India in his first five years of corporate career. Frustrated with the hassles of relocating from one place to the other, and tired of finding that perfect cluster of home essentials that suited their lifestyle. "The spending youth, especially the millennials & Gen Zs prefer staying light, desire flexibility and are value conscious. Willing to experiment with new stuff across categories that make life simpler and not boring, these generations are also sensitive to our planets sustainability. Our customers and employees identify with what we do , is what Geetansh Bamania, our Founder and CEO has to say. RentoMojo caters to the needs of the working professionals which is unmet due to nonavailability of furnished rental flats by offering furniture and appliances on rental basis, thus, providing more flexibility than owning the expensive furniture and appliances. Currently, we have 130,000+ subscribers with a typical rental period of 1214 months. The current market size (as per a recent report by Grant Thornton) is estimated to be US$ 4.1 Billion and expected to grow to US$ 13 Billion by 2025. With 1000+ people operations, the company has a presence in 16 cities across India. Looking back, Rentomojo has not only made a new market of lease which never existed for the consumer, they have also become market leaders in the consumer rental industry. Unlike the norm, they are now seeing a reverse trend wherein a version of ours is being copied in the US and UK. We are also profitable at monthly PAT since Oct 2021. Five Pillars of our Culture: Zoom InZoom Out : We zoom in and go micro; our focus would be doing better in everything, including things we already do well. We zoom out a lot for creating successful pilots that can potentially scale into a lot of value add in the future, like strengthening our offline presence. Enterprising Mindset: If you are bold enough, you will have life changing growth opportunities here. We will continue to expand the responsibilities of hungry and willing people. If you are ready to do what you have never done, you will find roles that you have never managed. Growing people from within was a significant contributor to the Fortune employers choice award that we won in 2022 and more importantly thats one of the biggest reasons of our success & continued momentum Frugality: Measure Twice and Cut once. It is always easy to spend more money to get more done, but it lacks any form of challenge. We have to grow and become better without a proportionate increase in cost. For every penny that we spend or that we put up to spend, expect a lot of discussions, debates and conversations. Planning is going to be important, data has to be the foundation, detailing will be a must and world class execution is the only way we will move forward in this journey. Accountability: Less Why, more How. We will always have more to bite than we can chew, we will always have to make choices and prioritize while we progress. We can have hundreds of reasons behind why something can not be done, but we have to remain focused on the how of things. The focus on how will help us find ways to get done, what needs to get done. Think, decide, play and act for the long term. The only time we will make short term decisions is when they help us in the longer term. To me, the long term is all about consistency and not intensity. Recent Media Coverage: YourStory , Dec 2022 The Core Team: Geetansh Bamania - Founder & CEO Ketan Krishna - People & Governance Head Prabhat Verma - VP of Engineering, Data & Product Hakim Ujjainwala - Head of Capital and Resourcing Shivendu Ojha - Customer Operations and Sales Rohan Kulkarni - Head of Corporate Finance and Strategy Aman Jha - Head of Operations & Procurement Akash Jangid - Chief of Staff Dhruv Wahal - AVP - Growth and Marketing ROLE : Finance executive LOCATION : : Bangalore NUMBER OF DIRECT REPORTEES : Individual contributor role KEY RELATIONSHIPS REPORTS TO : Senior Manager Finance Responsibilities Roles and Responsibilities Manage companys capital structure and review with senior leaders. Partner with various business teams to support financing decisions. Documentation for on boarding investors and serve as the key point of contact for the investor community. Build analytical models to evaluate capital structure decisions including financing, return of capital, and contingency planning. Build and/or maintain deal collateral, teaser, one pager, Information memorandum, financial model, debt profile, and other important metrics. Etc Assist in research for various information cuts, new MVPs, new business lines, new financing structures, etc Assist in data mining for new financing structures, means of finance, and the nature of lenders/investors (both domestic and/or international). Model credit rating outcomes and assist in managing relationships with rating agencies. Support maintenance, user entitlement, and activities relating to Treasury workstation and electronic banking portals. Provide broad-based, analytical support to the Treasury team for cash management processes and initiatives. Qualifications ACCA Pursuing CA or MBA (Finance)Fresher or BCOM/MCOM with minimum 2 yrs experience Advanced level expertise with MS Excel, Word, PPT, and other similar tools. Advanced analytical and problem-solving skills with keen attention to detai

Simpli Namdharis Simpli Namdhari’s is a 100% vegetarian Omni Channel retail chain in Bangalore with a comprehensive range of fresh fruits & vegetables, organic & pesticides free range of staples, single-origin dairy products, imported dry fruits, healthy snack range and more. Starting the journey back in the year 2000 with the mission to bring safe food, every product is either grown at the company’s own farms or from trusted sources across India & abroad. With over 30+ stores across Bangalore, and three brand new stores in Malleshwaram, MG Road and Airport Road it is the company’s constant endeavour to create a sustainable food future for its customers. https://www.simplinamdharis.com/ https://www.namdharifresh.com/ http://namdhariseeds.com/ https://dairytales.com/ Data Analyst responsibilities include: Interpreting data, analyzing results using statistical techniques. Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Acquiring data from primary or secondary data sources and maintaining databases. Job Brief: We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Candidate must have strong technical and analytical skills and should be able to work Python development and predictive analysis. Candidate should have good communication skills to be able to collaborate in team and understand the project specifications in detail. Job Description: Roles and Responsibilities: Research and developing new technology algorithms in Python language related to domains like machine learning, analytics, statistics, data analytics and data science. Working on predictive analysis and demand forecasting. Key skills: MS Excel, Tableau, SQL, Python, Machine learning, Predictive analysis, Demand forecasting. Role & responsibilities Preferred candidate profile Perks and benefits

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems

Role Summary: Construction of modelling and monitoring bases and data quality management for regulatory credit risk (PD, LGD and EAD) and provisio:n (IFRS9) models. Role Description Apply data wrangling and credit risk domain expertise in creation of modelling and monitoring databases and evaluating the quality of the same. Manage intermediate level case studies and challenges on around data collection, wrangling and data quality with minimal supervision. Perform root-cause analysis and resolve any team hurdles around data quality issues. Identify, develop and implement process and project enhancements. Know upstream and downstream processes of modelling data creation. Lead process governance meetings with stakeholders - modelling and IT teams. Represent and contribute to internal forums, and innovation. Profile Required: Understanding of Design and Development of Data Analytics. Good experience on SQL Queries and sound programming knowledge in analytical tools like SAS, Python, PySpark. Good to have awareness of Big Data and cloud based BI stack, emerging BI trend. Understanding of designing, defining and documenting solution architecture. Ability in gathering client requirements and work through specifications and develop solutions where appropriate in line with project documentation. Working within time guideline. Knowledge of credit risk modelling such as PD, LGD , CCF and IFRS9. Specific Context Client Focus, Team Sprit, Commitment, Responsibility, Ownership, and Innovation Environment At Socit Gnrale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether youre joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Groups ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

We are seeking a proactive and results-driven Business Development Executive to join our team and drive software sales in the domestic market. The ideal candidate should have a strong background in business development within the service-based industry and be familiar with the market in Mumbai, Navi Mumbai, Thane and Pune. About the position : Business Development Manager Roles and responsibilities : Conduct thorough research of accounts and identify potential decision-makers in the domestic market. Utilize CRM tools like Zoho for managing leads, prospects and sales activities. Perform data mining and prospecting to identify and target new business opportunities. Develop and execute effective business development strategies to drive sales of custom-made software solutions and temp staffing services. Set up and manage qualified meetings with key stakeholders to drive business growth. Achieve and exceed revenue-based monthly and annual targets. Understand and manage the end-to-end sales cycle involved in custom-made solutions, from initial contact to closing the deal. Understand the sales cycle of temp staffing, both onsite and offshore, and drive it effectively. Attend trade shows and industry events to promote the company s products and services, and generate leads. Travel as required for in-person meetings with customers and prospects. Skills and qualifications : 1 to 7 years of experience in business development or a similar role. Proven experience in the domestic market, particularly in Mumbai, Navi Mumbai, Thane and Pune. Proficiency in using CRM tools like Zoho. Ability to independently research accounts and decision-makers, and perform data mining. Strong follow-up skills and the ability to set up qualified meetings. Background in working with service-based companies is preferred. Familiarity with custom-made software sales and temp staffing services. Excellent communication and interpersonal skills. Ability to understand and manage the end-to-end sales cycle of custom-made solutions and temp staffing. Experience in attending trade shows and industry events to promote products and services.

The primary focus of a Senior/Sales Development Representative (SDR/SSDR) is to generate International/Domestic SMB leads for our products through Outbound Prospecting via various outreach channels such as Cold/Warm Calls, LinkedIn, Email etc. coordinate with Sales Managers and help them to build healthy pipeline which can be readily closed, deliver first level product demo and record all your activities in Sales CRM. What you will do As the SDR/SSDR of this team, your roles and responsibilities include: Act as the first point of contact with the prospects and outbound leads. Work towards materializing Lead Qualification. Assign leads to sales teams. Coordinating meetings with clients and prospects. Data mining through different web portals. Database management and segregation. Candidate Requirements Location : Gurgaon (Hybrid) Experience : 3-6 years What we are looking for Must haves Effective communication skills and has an innate ability to relay information in a meaningful manner to the management. He/ She must be well-versed with Excel, and other Microsoft tools.Sound knowledge of software industry is desirable. International market experience preferred (Africa/APAC & Middle-East.) . IT-Software / Software Services / Sales experience. Must have excellent soft-skills. Must have excellent sales and customer management skills. Should have in-depth knowledge of Microsoft Office - Excel, Word and PPT. 3-6 Years Good to Haves Should have good negotiation skills.

Acts as strategic thought partner with Business operations service towers and across GBUs. Develops and maintains expertise on key trends / developments in the industry. Ensure adherence to overall defined quality standards. Provides input to strategic deliverables and ensures delivery as per plan, identify areas for innovation and implement with external and internal partners. Lead/Mentor teams of experts specialized analytics professionals others as needed. Quantitative Strategy Consultant partner with a broad range of internal cross-BU client teams across regions to deliver and advise seamless solutions across the most specific marketing and sales issues facing a stakeholder. Evaluates the effectiveness of various promotion and marketing programs leveraging secondary data sources, Reporting platforms / ETL Setups. Mentor the junior team on day to day as well as exceptional cases/ situations. Monitor progress of work and provide solution to issues and queries; Share best practices and serve as a change agent and facilitator for operational excellence. Support delivery of projects in terms of resourcing, quality, timeliness, efficiency, and high standards for deliverables made by the commercial operations teams; Contribute to overall quality enhancement by ensuring to meet the defined/agreed quality parameters for the outputs produced by the respective teams Secure adherence to compliance procedures and internal / operational risk controls in accordance with any and all applicable regulatory standards; Lead and implement operational excellence projects within the team in alignment with overall direction from senior leadership using appropriate process improvement tools Ensure creating & developing tools, technology and process in order to constantly improve quality and productivity, Engaging with the business and Digital workgroup via Agile development Data transformations in Power Query based on imported data from Snowflake, Data model building. Creating DAX queries, Data visualization / Report building, Dashboard deployment via Power BI Service, User guide / training. Co-operating with Master Data Management to create data dictionary, standards. About you: Experience: 7+ years experience in PowerBI Reporting. Candidate will be responsible for designing, developing, and maintaining PowerBI reports and dashboards to meet business requirements. Soft skills: Ability to work effectively with cross-functional partners and drive process improvement initiatives across an organization. Inter-cultural skills and eagerness to work in a very international setting. High level of Interpersonal/ communication skills with an ability to communicate and present at different levels of the organization Technical skills: Proven Master Power BI developer skills (inc Power Query, DAX, Visualization) Power BI, SQL (for Snowflake data mining). Proven knowledge of applicable Project methodologies (PM Methodology, Agile / Scrum) Education: Candidate must possess at least a bachelor s degree or master s degree in quantitative subject (computer science, mathematics, engineering, statistics or science). Languages: High levels of proficiency in English

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 10 years of experience in Data Science and Machine Learning. The ideal candidate should have expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) is essential to quickly understand requirements and develop solutions. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable. Responsibilities: Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications. Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses. Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) to quickly understand requirements and develop solutions. Graduate/Postgraduate in computer science, computer engineering, or equivalent with 10-12 years of experience in the IT industry. Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Minimum 5-6 years of hands-on experience in a Data Scientist role or similar role. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques. Experience using LLM models on cloud platforms (OpenAI @ Azure, AWS Bedrock, GCP Vertex AI). Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions. Strong domain experience in at least two industries (e.g., Financial, Retail, Manufacturing, Telecom). Completed 2-3 projects in the domain of expertise. Strong knowledge of Python, C/C++. Data mining, visualization, and machine learning skills. Fluent in English (written and spoken). Degree in a quantitative discipline, such as mathematics, statistics, computer science, or other engineering fields. Preferred Technical and Professional Experience Certification in one or more of the hyperscalers (Azure, AWS, Google Cloud Platform) Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

We are seeking a Business Analyst / Knowledge Management Expert to join our global Business Insights & Analytics (BIA) team. This role plays a critical part in enabling data-driven decision-making and strategic planning across the organization. The ideal candidate will possess a strong foundation in forecasting, statistical analysis, digital analytics, real-world data analysis, and strategic research. You will collaborate cross-functionally and use advanced analytical techniques to enhance business performance and drive innovation within the biopharma space. If youre looking for a meaningful and rewarding career in a dynamic environment, we invite you to join our diverse and passionate team! Key Responsibilities Understand the gaps in current drug development pipeline and come up with innovative ways of optimizing trial design which drives value Collaborate with IT teams to develop and enhance data infrastructure, data pipelines and analytical tools for efficient data collection, processing and analysis Stay up to date with industry trends, best practices and emerging technologies in pharma landscape focusing majorly on drug development Support the creation and update of competitive intelligence, industry research etc. Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations Collaborate with stakeholders to identify business problems, goals and KPIs to develop analytical frameworks Conduct research & collect real-world data from multiple sources to support business strategies & decision-making Support statistical analyses, data mining and predictive modelling to uncover trends and correlations Work closely with cross-functional teams to design and implement digital analytics initiatives and measurement frameworks to optimize marketing campaigns and customer engagement Prepare reports, dashboards and presentations to communicate findings, insights and recommendations to stakeholders at various levels of the organization Provide training, guidance and mentorship to junior analysts and team members when required Qualifications & Experience Candidates with a bachelor s or master s degree in life sciences, biotechnology, bioinformatics or related disciplines such as B.sc (life sciences; bioscience), B. Pharma, MBBS, or an MBAF; 36+ months of relevant pharma knowledge services experience in IT/Consulting/pharma companies Experience in working on databases like Evaluate Pharma, Adis, Avention, Datamonitor, Nexis etc; Proficiency in MS office (excel, word, ppt) with an understanding of OpenAI, AWS and Enterprise application/BI tool Fluency in English with strong verbal and written communication abilities. Ability to work in a fast-paced and often unstructured environment Proven experience (typically 3 to 5 years) in a similar business analyst role, preferably within the biopharma or pharmaceutical industry. Experience in working with real-world data (including clinical and healthcare), large datasets, data visualization tools, etc. Strong analytical thinking and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions Understanding in statistical analysis techniques, predictive modeling and forecasting methodologies Strong project management skills and the ability to work independently or as part of a team Solid understanding of digital analytics tools and platforms Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner. Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations. Familiarity with regulatory requirements and compliance in the biopharma industry. Experience with real-world data analysis, digital analytics, and market research methodologies. Certification or training in relevant analytics or business intelligence tools is a plus

Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. Are you excited about Data Assets and the value they bring to an organization Are you an evangelist for data driven decision making Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents Do you want to be the go-to resource for data analytics in the company The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities Work closely with global & regional teams to architect, develop, and maintain data engineering, advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services. Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions. Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects Provide 1st level insights / conclusions / assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. Apply quality control, data validation, and cleansing processes to new and existing data sources. Lead, mentor and guide more junior team members. Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. Bring your Passion and Expertise All About You Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Financial Institution or a Payments experience a plus Experience presenting data findings in a readable and insight driven format. Experience building support decks. Advanced SQL skills, ability to write optimized queries for large data sets (Big data) Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack Experience with data visualization tools such as Looker, Tableau, PowerBI Experience with Python, R, Databricks a plus Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage Excellent problem solving, quantitative and analytical skills In depth technical knowledge, drive and ability to learn new technologies Strong attention to detail and quality Team player, excellent communication skills Must be able to interact with management, internal stakeholders and collect requirements Must be able to perform in a team, use judgment and operate under ambiguity Education Bachelor s or Master s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation Able to prioritize and perform multiple tasks simultaneously

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization Are you an evangelist for data driven decision making Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents Are you interested in proactively looking to improve data driven decisions for a global corporation The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role and responsibilities The Analyst will be part of a strategic initiative to create a SSOT data platform for all transactional data assets within the organization. He/She will work alongside a team of analytics engineers, data analysts, data engineers to evaluate the current use cases across the organization, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation, collaborate with the data architects, data engineers to ensure platform build and will be responsible for the UAT before implementation. Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models. Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model. Define data mappings, data dictionaries, data quality and UAT documentation. Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Apply quality control, data validation, and cleansing processes to new and existing data sources. Implement the DataOps philosophy in everything you do. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services. All about you 4+ years experience in data analysis, data mining, data analytics, data reporting and data product development. Financial Institution or a Payments experience a plus. Proactive self-starter seeking initiatives to advance. Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud. Exposure to Python, Scala, Spark, Cloud and other related technologies a plus. Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Must be able to interact with management, internal stakeholders and collect requirements. Must be able to perform in a team, use judgment and operate under ambiguity.

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization Are you an evangelist for data driven decision making Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents Are you interested in proactively looking to improve data driven decisions for a global corporation The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role and responsibilities The Associate Analyst will be part of a strategic initiative to create a SSOT data platform for all transactional data assets within the organization. He/She will work alongside a team of analytics engineers, data analysts, data engineers to evaluate the current use cases across the organization, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation, collaborate with the data architects, data engineers to ensure platform build and will be responsible for the UAT before implementation. Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models. Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model. Define data mappings, data dictionaries, data quality and UAT documentation. Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Apply quality control, data validation, and cleansing processes to new and existing data sources. Implement the DataOps philosophy in everything you do. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services. All about you 2+ years experience in data analysis, data mining, data analytics, data reporting and data product development. Financial Institution or a Payments experience a plus. Proactive self-starter seeking initiatives to advance. Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud. Exposure to Python, Scala, Spark, Cloud and other related technologies a plus. Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Must be able to interact with management, internal stakeholders and collect requirements. Must be able to perform in a team, use judgment and operate under ambiguity.

In this role you have the chance to launch your career in the enterprise software world by joining the Galaxy Graduate Program as an Associate Galaxy Celonaut . The Galaxy Program will provide you with a structured approach to kick start your career within Celonis, learning and delivering value to our customers, over a period of 12 months. In particular, Galaxy s cohort structure and rotational nature will develop your expertise across the Celonis value journey with a focus on learning the technology, implementation cycle, approaches to innovation and automation, enablement, support, and customer engagement best practices. The work you ll do: As a CS Galaxy Celonaut, you will be an integral part of our teams preparing yourself for a career with Celonis. The program will combine learning and hands-on experience, making sure all aspects of the post sale customer experience are represented. The following activities are part of the program: Practical assignments across our customer projects. Accelerate our customers digital transformation and drive Celonis expansion within the market. Deploy high-value use cases Perform complex data transformations to optimize data for analysis Collaborate with consultants to develop analyses Conduct precise calculations of KPIs integrated in customer solutions Support the implementation and configuration of EMS implementations for customers Assist in troubleshooting and resolving technical issues for customers Develop individual Python scripts utilizing Machine Learning Workbench (MLWB) to efficiently consume and transmit data to EMS Collaborate with the Celonis Academy team to create custom enablement plans and train customers analysts and business users on the analysis, KPIs and other Celonis solutions you developed Rotate between the various teams within the Celonis Services organization. Customer-facing implementation consulting Technical onboarding, Celonis support, Academy and global programs. The qualifications you need: We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. You have a degree level in the field of Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program and gained first working experience in (IT-) Consulting or a similar area in the form of an internship. You have a strong interest in Big Data, Data Mining, and Process intelligence and you seek continuous improvement of your know-how. You are successful as an Associate Galaxy Celonaut if you: Enjoy interacting with various customers Understand and are able to interpret business processes Are a person with analytical skills, and have a basic knowledge of SQL or other programming languages (Python, R, Matlab...) Search for a job with a steep learning curve in order to think outside the box and to continuously broaden your knowledge Have good English skills, other languages such as German, French, Italian or Portuguese are an advantage. What Celonis Can Offer You: The unique opportunity to work with industry-leading process mining technology Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more) Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more). For intern and working student benefits, click here . Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more) A global and growing team of Celonauts from diverse backgrounds to learn from and work with

The incumbent will be responsible for actively seeking & understanding the P&L of the business and engaging/handling branch teams. Providing complete support to the team & driving them to boost top-line revenue growth, customer acquisition and maintaining profitability, leveraging on existing branch base of customers. Job Responsibilities: Team Handling, Maintaining P&L account of allocated region Perform cost-benefit and needs analysis of existing/potential clients to meet their needs Maintain positive business relationships Reach out to large customers through Data mining & developing referrals from existing accounts Develop new business opportunities with the team to acquire NEW Large & BIG accounts Expedite the resolution of customer problems and complaints to maximise satisfaction Collaboration with the internal team and external stakeholders. Analyse the territory/market s potential, Competition products and services, track sales reports Drive collection collection & keep DSO Days in control Develop team for future roles by effective training & coaching Key Result Areas: Team Handling for sales / collection / service / operations Customer Service & complaints handling Maintaining MIS/Reports Planning & strategizing on new avenues of revenue generations Customer relationship/Sales/ Business Development Ability to achieve targets Computer Skills Educational Qualification / Other Requirement: Competencies (Skills essential to the role) : Good Interpersonal & Networking Skills Ability to communicate effectively Ability to negotiate with clients Must have handled a team of 10 individuals with 4-5 years of experience Must have handled corporate customers for a minimum of 8-10 years Graduate (Any stream) Role Type / Key working relationships: Team Contributor Internal team/External External/Internal stakeholders CORE COMPETENCIES Deliver results : Need to deliver what s required Act Commercially : Uses business thinking Manage Self : Manage own emotions Coach and Develop : Coach and Develop by giving practical support Work with Others : Work with Others being a team player Display leadership : Display leadership through communicating expectations & direction Are you interested? Heres what you can expect when you join us Attractive Base Salary Attractive Incentives Annual Performance Based Bonus Group Mediclaim Insurance Policy Travel Reimbursement

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomm IT is seeking a Lead Conversational AI Developer for Intelligent Automation Center (IAC)Responsibilities include: Experience on designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI Hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search and Azure OpenAI Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI using Retrieval-Augmented Generation (RAG) or Agentic AI architecture Strong expertise in Python for building bot solutions Experience with Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Spell Check,Speech API) for advanced NLP features. Knowledge of Power Automate, Azure Logic Apps, and APIs for extending Copilot Agent and bot functionalities. Experience in software development with a focus on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform. Ensure quality of coded components by performing thorough unit testing and develop reusable test cases Work collaboratively with test teams for supporting Product testing and UAT Report status, issues and risks to tech leads on a regular basis Improve skills in automation products through certifications Train and coach team members on Conversational AI related technologies Work independently with minimal supervision and good team management skills Excellent communication and collaboration skills Provide timely status on assignments, planned activities, issues, and dependencies Good knowledge on Conversational AI on Microsoft Stack (Copilot Studio, Azure AI Foundry, Azure AI Search, Azure OpenAI) Good understanding of Generative AI concepts and Frameworks like Langchain Hands-on programming experience on Python and any frontend technology like Angular Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelor"™s degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL. Good understanding of conversational AI and Intelligent Automation methodologies and associated tools & technologies Knowledge of Process Mining concepts and implementation expereience using Celonis inclusing data models and dasboards Experience in business process diagrams and process flow charts with Automation Anywhere Certification in Industry Leading Robotic Automation products is a plus. Experience in identifying the right processes for Automation and providing estimates for implementations Programming concepts and coding background in Python Understanding of RDBMS concepts and writing SQL queries Expereience in Cloud (preferrably AWS) and certifications is a plus Experience in Agile development using standard tools like Jira Bachelor's degree and 5+ years IT-relevant work experience

The Quality Analytics team in GDI&A is currently seeking a talented and experienced analytics manager to work with a product team consisting of data scientists and software engineers to deliver business value. This role will involve leading and supporting the analytics team to ensure high-quality data analysis, modeling, and reporting. If you have a passion for data science and a proven ability to guide and develop team members, we encourage you to apply. Preferred Requirements 1+ years of experience with Product Driven Organization (PDO) Model 3+ years of experience leading a team of data scientists. 3+ years of experience leading an analytic team in a product owner role. Demonstrated success in delivering analytics products, with exposure to machine learning and advanced data analysis techniques. Agile/Scrum certification or equivalent experience is a plus. Experience with product lifecycle management tools and analytics platforms. Excellent leadership, communication, and interpersonal skills. Ability to thrive in a fast-paced, collaborative, and innovative environment. Minimum requirements Demonstrated experience of translating a business problem into an analytically tractable framework, leveraging analytics to solve the problem, generating insights from the solution, and working with the business to use the insights to deliver business value 5+ years of experience working in a team environment, supporting customer/end users 5+ years of hands-on experience in Python programming for data analysis and machine learning 5+ years of hands-on experience with data modeling, data mining, machine learning algorithms or statistical analysis 5+ years of experience implementing and maintaining successful cross functional demand and integration management 5+ years of experience with agile and lean workflow management methodologies (e.g., Kanban) 5+ years of experience with project management tools to manage user requirements, stories, and tracking the delivery process (preferably Jira) 5+ years of experience with developing and delivering data products to support analytic applications

Data Solution Consultant (Informatica) Job Details | Goodyear By continuing to use and navigate this website, you are agreeing to the use of cookies. Accept Close Search by Keyword Search by Location Select how often (in days) to receive an alert: Data Solution Consultant (Informatica) Gachibowli Hyderabad, TG, IN Location: IN - Hyderabad Telangana Goodyear Talent Acquisition Representative: Maria Monica Canding Relocation Assistance Available: No Job Responsibilities: You are responsible for designing and building data products, legal data layers, data streams, algorithms, and reporting systems (e.g., dashboards, front ends). You ensure the correct design of solutions, performance, and scalability while considering appropriate cost control. You link data product design with DevOps and infrastructure. You act as a reference within and outside the Analytics team. You serve as a technical partner to Data Engineers regarding digital product implementation. Qualifications: You have a Bachelor s degree in Computer Science, Engineering, Management Information Systems, or a related discipline, or you have 10 or more years of experience in Information Technology in lieu of a degree. You have 5 or more years of experience in Information Technology. You have an in-depth understanding of database structure principles. You have experience gathering and analyzing system requirements. You have knowledge of data mining and segmentation techniques. You have expertise in SQL and Oracle. You are familiar with data visualization tools (e.g., Tableau, Cognos, SAP Analytics Cloud). You possess proven analytical skills and a problem-solving attitude. You have a proven ability to work with distributed systems. You are able to develop creative solutions to problems. You have knowledge and strong skills with SQL and NoSQL databases and applications, such as Teradata, Redshift, MongoDB, or equivalent. Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individuals race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law. Computer Science, Recruiting, Data Mining, Information Systems, Database, Human Resources, Technology

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview To provide the business with data insights that will help increase revenue and/or lower costs. ^ Provide technical leadership and focus on generating insights for business customers. ^ Individual should help shape strategies for our consumer units globally. Key Responsibilities Leadership, Project Lead, management of key stakeholders for key data science projects and presentation of results. Bringing new insights to the business, leads data mining and analytics, interpreting and reporting of large integrated data sets built with structured and unstructured data; develops tools to leverage new proprietary data sources (SAP Analytics Cloud SAC, S/4Hana LeoConnect Fiori, Analysis for Office A40). Statistical model building and deployment in the areas of forecasting, marketing mix and consumer insights. Continuously seeks out industry best practice and skills development to create new capabilities for data analytics at McCormick to drive marketing strategy. Required Qualifications Experience Bachelors Degree in Statistics (or Statistics Major) or Data Analytics. Minimum of 8 years of experience in analytics. Extensive experience analyzing complex datasets, generating insights and building robust statistical models. Comfortable working with structured and unstructured data. Expertise in R, MS-Office required. Familiarity with brands (McCormick and competition) and their metrices. Interpersonal Skills Able to influence and navigate across multiple functions and regions (Procurement, Marketing, Sales, RD, Finance etc.) to leverage enterprise data seamlessly for insights that can be leveraged across the business. Sound timely decisions grounded in data but also intuition, welldeveloped emotional intelligence. This role will interact with subordinates and superiors in the global analytics organization as well as with the internal customers/sponsors of the work. He/she will most likely join a senior colleague in meetings with the business and on occasion, present findings from the analyses. McCormick Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. WHY WORK AT MCCORMICK United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

Job Description 6 To 10 years of experience as a Python Developer with a strong portfolio of projects. Bachelors degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Experience in Gen AI, LanGraph, Launch AI, Open AI, Chat GPT, Mini 4.2,Lamda2 Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Qualifications 6 TO 10 years of experience as a Python Developer with a strong portfolio of projects. Bachelors degree in Computer Science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred skills and qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects

Tech Zenon IT Solutions Private Limited (Noida): Email Marketing Executive Email Marketing Executive Marketing and Communication Tech Zenon IT Solutions Private Limited, a distinguished entity in the IT Services and IT Consulting sector, is currently seeking a dynamic Email Marketing Executive to join our team. The ideal candidate will possess a blend of creativity and analytical prowess, tasked with designing and implementing direct email marketing campaigns. Adept at crafting compelling content, analyzing campaign performance, and refining strategies based on data insights, you will play a pivotal role in enhancing our brands outreach and engagement. This opportunity is perfect for those who excel in a fast-paced environment and are eager to contribute to the growth and success of a leading company in the IT industry. Tasks Generating leads from international market through email marketing, Data mining and database development using different tools. 1-4 years of experience in email marketing generating leads for web development/design and digital marketing. Should have experience in sending bulks emails daily. Should have knowledge of lead data extraction from search engines and other lead portals Lead Generation of International Clients thru bulk/ mass mailing. Must have experience in data management and including data processing and data cleaning. Requirements 1-4 years of experience in email marketing generating leads for web development/design and digital marketing. Updated: 4 hours ago Job ID: 14115897 Tech Zenon IT Solutions Private Limited IT Services and IT Consulting Our other open positions .doc, .docx, .pdf, .rtf, .txt You will receive a link to verify your email and your account will be created. You can also apply with creating a password . Ask a question No timeJust apply later We ll send a link to this job to your email.

Job Summary We are looking for a Data Scientist with strong data and analytical skills, you will be tasked with managing all aspects any new work/project assessments thoroughly from inception to delivery. You will need to build close working relationships with COO business and CDO in order to gather specific modelling requirements and define and scope the work. In addition, as Data Scientist you will also work closely with internal staff, clients and 3rd parties. Key Responsibilities Design Machine Learning, Natural Language and Decision Optimisation applications architecture. Design ML, NLP and DO models, algorithms for predictive & prescriptive analytics. Translate business requirements to reporting dashboard and analytics. Perform advanced analytics and statistical modelling on structured and unstructured data. Work with software engineers to integrate and deploy AI applications. Assist in the creation of data definitions for new database file/table development and/or changes to existing ones as needed for analysis. Support the business with clear and insightful analysis applying advanced modelling techniques leveraging the data at hand. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. Develop and implement change management plans to ensure successful adoption of AI solutions across the organization. Provide training and support to business users to help them understand and leverage AI tools and technologies. Foster a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation. Work with senior management to develop and refine the banks AI strategy, ensuring alignment with overall business objectives. Identify and prioritize AI use cases that have the potential to deliver significant business value. Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation. Skills and Experience 8+ Years of Software development experience using . Net framework or Java Completed real world ML, NLP and DO projects using R or Python Extensive experience in SQL and NoSQL database design, queries and stored procedures Hands-on experience with Windows Server, Azure, AWS and Git Highly proficient in data visualisation tools. . . Documentation - Requirements/Use Cases/Business Rules/User Stories, Etc. Report Types - Gap Analysis/Problem Analysis/Initial Assessments, Etc. Process/Data Modelling - As Is/To Be/ Visio/Enterprise Architect/System Architect, Etc. Strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python) Good experience with Business Intelligence tools and Decision Support Systems Strong data analysis skills using Hive, Spark, R, Python, Dremio, MicroStrategy and Tableau. Proven experience in working with key stakeholders within the business. Proven problem-solving skills Workshop Facilitation Qualifications Master or PHD in Mathematics, Statistics, Knowledge Engineering or Data science. real world exposure on ML, NLP and DO projects using R or Python About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 25999

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, weve disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X ) and enabling capital availability for businesses (via Razorpay Capital ). The Role: Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelors/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 5-7 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesnt discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe. Follow us on LinkedIn & Twitter

Job Description Principal Business Analyst IC4 Our Mission At Oracle, we are igniting dreams and making visions a reality. We are forgers of the future, relentlessly pushing the boundaries of what is possible. From creating innovative solutions to tackle global challenges like Covid-19 to standing up for those in need, we are changing lives and shaping tomorrow's world. Our decades of technological expertise and insatiable curiosity drives us to confront and overcome real-world problems. In our Global Customer Success Management division, we are not just partners but co-architects of our customers' success. We guide them on a journey to unlock the transformative power of Oracle technology, empowering them to achieve the extraordinary. Our success is measured in the triumphs of our customers. Each customer victory propels Oracle forward, pushing us to greater heights. So, if you have the audacity to dream big and the drive to make a difference, Oracle is your launchpad to leave an indelible mark on the universe. Join us, and together, let's dare to redefine what is possible. Job Description The Global CSM Business Operations is a dynamic and forward-thinking organization focused on leveraging data to drive strategic decisions. The Global Data Mining, Reporting & Analytics (DRA) division of CSM Business Operations was established with a mission to elevate customer experience by scaling data & driving innovation. DRA is mainly instrumental in executing the strategy of the Global Customer Success Business. As part of our commitment to data-driven excellence, Data Mining, Reporting & Analytics (DRA) team, is seeking a highly motivated, results-oriented person to support our Analytics wing of Business Operations. Key Responsibilities: Collaborate closely with Business Operation Partners to enhance the Global Operating Model. This includes refining the Coverage Model, thresholds, and ratios, among other critical factors. Work together to establish the necessary reporting framework to support the upcoming new initiatives. Develop and implement data mining strategies to collect, clean, and analyze large structured and unstructured datasets. Apply various data mining techniques, machine learning algorithms, and statistical methods to identify patterns, correlations, and trends. Prepare & publish regular data analysis, trends, comparisons & other useful findings of CSM performance. Compile and disseminate periodic insights on CSM performance, encompassing data analysis, identification of trends, comparative assessments, and other valuable observations. Translate business requirements coming from Business Operation Partners and provide timeline for robust solutions. Collaborate closely with teams across different departments and regions to gather data, understand reporting requirements , and ensure alignment with organizational goals. Collaborate closely with designated DV developers to execute the reporting strategy. Propose & implement data quality standards in alignment with the CLM guidelines and to ensure the integrity and reliability of reporting outputs. Documentation of business reports and maintaining the same. Proactively evaluate the ongoing significance of reporting metrics by regularly cross-referencing them with the dynamic requirements of the business. Education & Experience: Bachelors degree in data science, computer science, Analytics, or a related field. Masters degree is a plus. Over 12+ years of extensive experience in data analysis, business intelligence, or analytics roles. Proficiency in using various data analysis tools and programming languages is essential. This includes a strong grasp Oracle Analytics cloud, SQL & other visualization tools. Effective communication and collaboration skills are essential for interacting with cross-functional teams & stakeholders. Hands-on experience with Oracle Analytics Cloud or similar platforms. Adept at handling large datasets, performing data cleansing, handling missing data, and structuring data in a format suitable for modeling and interpretation. Strong critical thinking and problem-solving skills are necessary to identify complex business problems and translate them into actionable insights. Strong understanding of data privacy, security, and ethical considerations is important. A keen eye for detail, a relentless curiosity for learning new things, and strong project management skills are highly advantageous and set candidates apart. Career Level - IC4 Responsibilities Collaborate closely with Business Operation Partners to enhance the Global Operating Model. This includes refining the Coverage Model, thresholds, and ratios, among other critical factors. Work together to establish the necessary reporting framework to support the upcoming new initiatives. Develop and implement data mining strategies to collect, clean, and analyze large structured and unstructured datasets. Apply various data mining techniques, machine learning algorithms, and statistical methods to identify patterns, correlations, and trends. Prepare & publish regular data analysis, trends, comparisons & other useful findings of CSM performance. Compile and disseminate periodic insights on CSM performance, encompassing data analysis, identification of trends, comparative assessments, and other valuable observations. Translate business requirements coming from Business Operation Partners and provide timeline for robust solutions. Collaborate closely with teams across different departments and regions to gather data, understand reporting requirements , and ensure alignment with organizational goals. Collaborate closely with designated DV developers to execute the reporting strategy. Propose & implement data quality standards in alignment with the CLM guidelines and to ensure the integrity and reliability of reporting outputs. Documentation of business reports and maintaining the same. Proactively evaluate the ongoing significance of reporting metrics by regularly cross-referencing them with the dynamic requirements of the business.

About The Role DataDesk MSCI Mumbai Specific Knowledge/Skills You have strong knowledge in database structures and know SQL or other database querying language. Good communication skills (written and oral) You are an independent worker who can drive certain parts of the work with minimal oversight You are proficient in PYTHON (preferred) or R; knowledge of other technical languages would be a positive. Desired Experience You have some experience in data management and data mining:Desired Qualifications 4-5 years experience in data management

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps / friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.)- Nice to have Strong communicationand presentation skills. Understanding of business processes.