821 Data Mining Jobs - Page 32

Lead Generation Executive | Careers at JK Lucent Lead Generation Executive Lead Generation Executive JK Lucent is a growing IT services company specializing in Software Services for clients in Australia and New Zealand. With offices in Melbourne, Australia, and Infopark, Kerala, we are committed to delivering high-quality solutions and building strong client relationships. We re looking for a Lead Generation Executive to help us identify and pursue new business opportunities. About The Role: Key Responsibilities: Identify and build a database of potential clients in Australia and New Zealand for Software services. Conduct market research to analyze trends, target industries, and identify decision-makers (CTOs, QA Heads). Use tools like LinkedIn Sales Navigator, Appolo.io, and other platforms for lead generation. Collaborate with the cold-calling and sales teams to provide accurate lead lists and schedule follow-ups. Draft email campaigns and outreach messages to initiate client engagement. Maintain and update CRM tools like HubSpot or Zoho CRM. Prepare and share weekly performance reports to track progress and improve strategies. Requirements: Education: Bachelor s degree in Business, Marketing, or related fields. Experience: 0 2 years in lead generation, market research, or sales support. (Freshers with good communication skills are welcome.) Technical Skills: Proficiency in MS Excel, Google Sheets, and CRM tools (HubSpot, Zoho). Communication Skills: Strong written and verbal English communication skills. Research Abilities: Excellent data mining and market analysis capabilities. Preferred Qualifications: o Experience in IT services o Familiarity with email marketing tools and cold-calling support strategies. o Exposure to international markets, particularly Australia and New Zealand. Become a part of JK Lucent Family A group of people having passion towards what they do is the driving force behind all the accomplishments by JK Lucent made so far. We trust the abilities of our employees and encourage them to explore their talents, stretch themselves beyond their potential and realize their true capabilities. At JK Lucent, the safety, health and well-being of our employees is of paramount importance and over the past several weeks we have taken a series of preventive measures to protect our employees from the Coronavirus outbreak and ensure business continuity for our customers. Requirement Details Get a Quote Fill up the form and our team will get back to you.

The Data and Artificial Intelligence Platform (DAP) group is a key component of Visas Technology organization that provides the enabling technology and processes to handle Visas data assets and deliver valuable information, products, and services to customers. DAP delivers secure, high-quality and easy-to-use Visa core data assets as a service, together with reliable and scalable data platform as a service, to enable Visa and our partners to rapidly and efficiently innovate data-driven business products and services to lead the digital payment industry. Areas of focus include Business Intelligence and Analytics, Artificial Intelligence, Machine Learning, Data as a Service, and Platform as a Service etc. The portfolio comprises of over 60 data products & platforms for various external clients and internal lines of business. We provide services on behalf of traditional bank customers to millions of cardholders and merchants globally. Our application development is on the cutting edge of technology, and we are viewed as innovative leaders within our industry. The Platform operationalizes the delivery of AI and decision intelligence to ensure ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, platform automates the updates to data, models, and applications. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, this is an ideal place for you! Basic Qualifications -Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree preferred Preferred Qualifications -5+ years of software development experi

Job Title:GN - SC&O - S&P – Spend Analytics – Senior Data Scientist Management Level:8 – Associate Manager Location:Gurgaon Must have skills:Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary : As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture's spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Professional and Technical Skills Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience:9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelor's or Master's degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | Accenture Qualification Experience:9+ years Educational Qualification:Bachelor’s or Master’s degree

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : UiPath ProcessGold Process Mining Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will develop and configure software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborating with various teams to ensure the successful implementation of software solutions, applying your knowledge of technologies and methodologies to support projects and clients effectively. You will engage in problem-solving activities, guiding your team through challenges while ensuring that project goals are met efficiently and effectively. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Facilitate knowledge sharing sessions to enhance team capabilities. Monitor project progress and ensure alignment with strategic objectives. Professional & Technical Skills: Must To Have Skills: Proficiency in UiPath ProcessGold Process Mining. Strong understanding of process mining techniques and methodologies. Experience with software development life cycle and agile methodologies. Ability to analyze and interpret complex data sets. Familiarity with automation tools and their integration into business processes. Additional Information: The candidate should have minimum 7.5 years of experience in UiPath ProcessGold Process Mining. This position is based at our Hyderabad office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Process Designer Project Role Description : Analyzes, develops, and improves workflows. Identifies inefficiencies in existing processes and proposes solutions to optimize effectiveness. Collaborates with business users to identify and define detailed product requirements and use cases. Design continuous monitoring and feedback collection to help them refine processes over time. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Designer, you will analyze, develop, and improve workflows, identify inefficiencies in existing processes, propose solutions to optimize effectiveness, collaborate with business users to define product requirements, and design continuous monitoring for process refinement. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Develop innovative process improvement strategies Lead process optimization initiatives Implement best practices for workflow efficiency Professional & Technical Skills: Must To Have Skills: Proficiency in SAP Sales and Distribution (SD) Strong understanding of process optimization techniques Experience in workflow analysis and improvement Knowledge of business process modeling tools Hands-on experience in continuous monitoring and feedback mechanisms Additional Information: The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD) This position is based at our Noida office A 15 years full time education is required Qualification 15 years full time education

Join Barclays as a Liquidity Risk Reporting - Assistant Vice President role, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. At Barclays, we dont just anticipate the future - were creating it. To be successful in this role, you should have below skills: Knowledge of the liquidity regulatory metric calculation methodologies (in particular LCR, NSFR, PRA110, ALMM) and underlying drivers. Must have strong communication skills, both written and verbal, with the ability to work both independently and collaboratively. Excellent presentation skills. Excellent Microsoft Excel skills. Strong Balance sheet and Finance skills. Strong understanding of Control and Governance frameworks. Experience in driving change initiatives including working with IT on automation initiatives. Excellent relationship management skills, with an ability to develop and maintain strong, open and trusted relationships with a variety of stakeholders outside of the immediate team. Some other highly valued skills may include below: Experience within a Liquidity (Risk) Management function. Some/Preferred experience in data visualisation (e.g. Qlik, Tableau, Hypercube) and coding (e.g. SQL, Python, R). Working knowledge of data mining / automation tools (SQL, VBA). Degree educated with a relevant qualification (ACA, CFA). Regulatory and/or consultancy background. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in our Chennai office. Purpose of the role To verify that the bank has sufficient funds to meet its short-term and long-term obligations, and the development and implementation of strategies to manage the banks liquidity position. Accountabilities Development and implementation of funding and liquidity strategies to efficiently manage the bank s liquidity position within regulatory requirements and risk appetite at favourable commercial outcomes with respect to funding costs. Analysis and quantification of the regulatory and behavioural liquidity risk impact of transactions undertaken by business units. Maintenance of strong relationships with key business units and working with the business units to manage liquidity to within constrains. Monitoring of key liquidity metrics and trends and advising on actions to be taken to maintain funding and liquidity levels within tolerance. Managing intra-group funding arrangements to ensure subsidiaries are adequately funded and managed within balance sheet, large exposure and capital constraints. Design and implementation of stress testing methodologies to assess the banks liquidity resilience under various financial shocks, economic downturns, and sector-specific crises, and analysis of stress testing results and development of mitigation strategies to address potential liquidity shortfalls. Development of new tools, models and data analysis to support and enhance the bank s funding and liquidity management capabilities. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Location : Hyderabad Role Highlights: As a Manager - Data Science , you wont just manage, youll lead by doing . This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL , and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. Youll spearhead end-to-end AI/ML project execution , collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on board! What Youll Tackle Each Day: Delivery & Project Management: Develop and implement ML models, Gen AI solutions, and predictive analytics . Perform data mining, feature engineering, and statistical analysis . Own project roadmaps, quality control, and timely delivery . Collaborate with Data Engineering teams to deploy and operationalize ML models . Automate and optimize workflows for efficiency. Practice Development: Contribute to scaling Blends Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership. Evaluate emerging AI trends and tools and integrate them into our ecosystem. Lead innovation initiatives , research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team . Guide career development and set performance benchmarks. Collaborate with cross-functional teams to drive seamless execution. 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leve

About Us: Shravas Technologies, founded in 2016, is an IT services company based out of Bangalore, India. Company specializes in Software QA and related services such as Data mining, Analytics and Visualization. Job Opportunity: SAP Business Objects Developer We are seeking an experienced SAP BusinessObjects (SAP BO) Developer with expertise in maintaining and creating reports. The ideal candidate will be responsible for developing, optimizing, and managing SAP BO reports and dashboards to provide actionable insights to our customers. This role requires a combination of technical proficiency and analytical skills. Location : Bangalore Type: Full time, Hybrid. Key Responsibilities: -Design, develop, and maintain SAP BO Web Intelligence (WebI) Reports. -Collaborate with data teams to ensure seamless integration of in-house application data into SAP BO -Create interactive dashboards using SAP Dashboards (Xcelsius) or SAP Lumira Designer, as required -Work closely with business users and stakeholders to understand reporting requirements and translate them into technical solutions. -Provide recommendations for improvements based on business needs and trends in source data. -Assist in SAP BO platform administration, including user access and security configurations. -Schedule, automate, and manage report distribution using SAP BI Launch Pad. Requirements Qualifications: -Minimum 4+ years of professional experience in Data Analytics & Business Intelligence with a minimum of 2y in SAP BO. -Proven experience in SAP BusinessObjects development, including WebI Reports and universe design. -Proficiency in SQL for writing complex queries and optimizing database interactions. -Familiarity with data visualization tools like SAP Lumira or SAP Dashboards. -Basic understanding of SAP BO platform administration and deployment processes. -Excellent analytical skills and attention to detail. -Strong communication and collaboration skills. -Excellent command of English, both written and spoken. -Problem-solving mindset with attention to detail. Preferred Skills: -Experience with ETL tools like SAP Data Services. -Knowledge of financial and economic data trends. -Familiarity with APIs for data integration. -Exposure to SAP BW, HANA, or third-party data sources.

About Credit Saison India Established in 2019, CS India is one of the country s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India s huge gap for credit, especially with underserved and under penetrated segments of the population. Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings. Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people. Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Based in Singapore, over 1,000 employees work across Saison s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications: Bachelors degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 2-5 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or Retail/ SME/LAP/Secured lending experience is preferred About Credit Saison IndiaEstablished in 2019, CS India is one of the country s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled p...

About Credit Saison India Established in 2019, CS India is one of the country s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India s huge gap for credit, especially with underserved and under penetrated segments of the population. Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings. Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people. Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Based in Singapore, over 1,000 employees work across Saison s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications: Bachelors degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 5 -7 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or Retail/ SME/LAP/Secured lending experience is preferred About Credit Saison IndiaEstablished in 2019, CS India is one of the country s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled p...

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