861 Data Mining Jobs - Page 29

About the Role We re looking for a Lead Researcher/Lead Generation Specialist to join our sales team. Your main job will be to find and organize potential leads, ensuring our sales team always has great opportunities to pursue. If you enjoy researching, working with data, and helping teams succeed, this role is for you! What You will Do 1. Research and Find Leads Look for potential customers using online tools like LinkedIn, Google, and other lead generation platforms. Collect important information, such as company name, contact person, email, phone number, and more. 2. Organize Lead Information Keep all lead details accurate and well-organized in databases or spreadsheets. Regularly update and check the information to make sure it is correct. 3. Qualify Leads Check if the leads match our ideal customer profile. Rank leads based on their potential to work with us, so the sales team can focus on the best opportunities. 4. Work with the Sales Team Share your findings with the sales team to help them target the right customers. Understand the team needs and adjust your research accordingly. 5. Use Tools and Technology Use tools like Excel, Google Sheets, and CRM software (e.g., HubSpot, Salesforce) to make your work easier. Learn and use new tools to improve the lead generation process. 6. Track and Report Progress Keep track of how many leads you have found and how well they are performing. Share reports and suggest ways to improve lead generation efforts. What We are Looking For Someone who loves researching and working with data. Basic knowledge of tools like LinkedIn, Excel, and CRMs (e.g., HubSpot, Salesforce). Organized, detail-oriented, and able to manage multiple tasks. Strong communication skills and a team player. Bonus: Experience with B2B sales or lead generation. Bottom of Form

Job Title - Data Scientist and Analytics Level 7:Manager Ind & Func AI Decision Science Manager S&C Management Level:07 - Manager Location Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skillsGEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 10+ years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Utilities Cust Financial Mgt FICA Good to have skills : No Function Specialty Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute to key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact for the project Manage the team and ensure successful project delivery Collaborate with multiple teams to make key decisions Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: Must To Have Skills:Proficiency in SAP for Utilities Cust Financial Mgt FICA Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in SAP for Utilities Cust Financial Mgt FICA This position is based in Mumbai A 15 years full-time education is required Qualifications 15 years full time education

Key Responsibilities : - Understand the factories , manufacturing process , data availability and avenues for improvement - Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. - Define what data is required to create a solution and work with connectivity engineers , users to collect the data - Create and maintain optimal data pipeline architecture. - Assemble large, complex data sets that meet functional / non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability - Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data - Deploy and monitor the solution - Work with data and analytics experts to strive for greater functionality in our data systems. - Work together with Data Architects and data modeling teams. Skills /Competencies : - Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry - Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process Problem Scoping/definition Skills : - Experience in problem scoping, solving, quantification - Strong analytic skills related to working with unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores - Ability to foresee and identify all right data required to solve the problem Data Wrangling Skills : - Strong skill in data mining, data wrangling techniques for creating the required analytical dataset - Experience building and optimizing 'big data' data pipelines, architectures and data sets - Adaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomes Programming Skills : - Experience with big data tools: Spark, Delta, CDC, NiFi, Kafka, etc - Experience with relational SQL ,NoSQL databases and query languages, including oracle , Hive, sparkQL. - Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills : - Know how of any visualization tools such as PowerBI, Tableau - Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills : - Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis - Good understanding of how to transform and connect the data of various types and form - Great numerical and analytical skills - Identify opportunities for data acquisition - Explore ways to enhance data quality and reliability - Build algorithms and prototypes - Reformulating existing frameworks to optimize their functioning. - Good understanding of optimization techniques to make the system performant for requirements.

Key Responsibilities : - Understand the factories , manufacturing process , data availability and avenues for improvement - Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. - Define what data is required to create a solution and work with connectivity engineers , users to collect the data - Create and maintain optimal data pipeline architecture. - Assemble large, complex data sets that meet functional / non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability - Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data - Deploy and monitor the solution - Work with data and analytics experts to strive for greater functionality in our data systems. - Work together with Data Architects and data modeling teams. Skills /Competencies : - Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry - Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process Problem Scoping/definition Skills : - Experience in problem scoping, solving, quantification - Strong analytic skills related to working with unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores - Ability to foresee and identify all right data required to solve the problem Data Wrangling Skills : - Strong skill in data mining, data wrangling techniques for creating the required analytical dataset - Experience building and optimizing 'big data' data pipelines, architectures and data sets - Adaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomes Programming Skills : - Experience with big data tools: Spark, Delta, CDC, NiFi, Kafka, etc - Experience with relational SQL ,NoSQL databases and query languages, including oracle , Hive, sparkQL. - Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills : - Know how of any visualization tools such as PowerBI, Tableau - Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills : - Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis - Good understanding of how to transform and connect the data of various types and form - Great numerical and analytical skills - Identify opportunities for data acquisition - Explore ways to enhance data quality and reliability - Build algorithms and prototypes - Reformulating existing frameworks to optimize their functioning. - Good understanding of optimization techniques to make the system performant for requirements.

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. ? ? ? ? Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role SkillSAP ISU Technical LocationPune SAP Utilities Technical Consultant with more than 10+years’ experience of ABAP Technical , Process knowledge of Device management ,Billing and ISU utilities specific knowledge. Extensive skill set in SAP Device management ,Billing and SAP IS-Utilities, Smart meter technology , Integration between SAP Device management and MDUS with ITRON meters, Design, Analysis, Development, Production Support and Migration including an understanding of Utilities Business Process Flow. Having Skills in middleware settings for CRM and ISU applications Advanced skills in integration with ITRON smart Meter and new version of CRM 7.0 Web User Interface Specialized to Work on AMI functionalities in SAP ISU to trigger SMART Metering scenarios with ITRON Meter Specialized to Work on BDT, EEWB, CAWM, AET Tools for screen enhancement. Specialized to Work on Re- connection/Disconnection/Immediate Read/On-demand read developments and Work under service order management area to enhance smart scenarios with inbound and outbound proxies Experience on Master Data Templates and Parked document. Specialized on Campaign Management, assigning customers to target group creation and execution of the campaign Specialized on Print Work Bench tools to create forms and letters. Specialized on creating a template for creating test data in IS-U system. work on latest version in Device management ,Billing & ISU EHP4 system. Identify, raise, and resolve issues and work on issue resolution for specific work deliverables Working on Incidents, minor and major enhancements for Customer care specific Experience of working in multiple domains ( Energy and utility , Mining, Telecom and Banking Domain) ? ? ? ? Mandatory Skills: SAP ISU Technical. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. ? Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement ? Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy ? ? Mandatory Skills: Tableau. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. ? Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer??s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement ? Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy ? ? Mandatory Skills: Geographic Info. Systems(Car support). Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. ? Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer??s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement ? Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy ? ? Mandatory Skills: Database Architecting. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. ? Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer??s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement ? Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy ? ? Mandatory Skills: Business Analyst/ Data Analyst(Maps). Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. ? ? ? ? Mandatory Skills: Transition Management. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About the Role: Grade Level (for internal use): 07 The Team: Our Data Acquisition Team is a close-knit group of analysts based in Nashville, TN. We work closely with our counterparts in India to provide the highest level of accuracy, visibility, and efficiency to our clients. The Data Acquisition Team is unique within S&P Global's Managed Data Services as we are a central hub that connects various teams to meet client management, valuation, and data collection needs for our venture capital clients. We value analysts with a high-level of attention to detail, creative thinkers who ask probing questions, and individuals who thrive within a team structure. Responsibilities and Impact: Work in a team environment to help secure the financial data from our clients and the portfolio companies in which they invest. Engage in deep dialog and discovery with clients to understand their current business needs and processes. Process client requests and respond to client inquiries in a timely and professional manner. Multi-task to handle multiple client engagements/projects simultaneously. Collaborate with clients and cross functionally to design, iterate and agree on new, transformed business processes. Participate with other team members to implement new business processes via the S&P Global, Market Intelligence platform. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: Bachelor's degree in Economics, Accounting, Finance, or Business is preferred or Finance related experience. A familiarity with Venture Capital and/or Private Equity companies. Exceptional time management skills with the ability to work independently. Strong skills in MS Excel. Additional Preferred Qualifications: Excellent written and verbal communication skills. Strong critical thinking and problem-solving skills. An aptitude to learn and adapt quickly in a rapidly changing environment. The ability to build strong working relationships in a collaborative setting. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States.

Key Responsibilities : - Understand the factories , manufacturing process , data availability and avenues for improvement - Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. - Define what data is required to create a solution and work with connectivity engineers , users to collect the data - Create and maintain optimal data pipeline architecture. - Assemble large, complex data sets that meet functional / non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability - Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data - Deploy and monitor the solution - Work with data and analytics experts to strive for greater functionality in our data systems. - Work together with Data Architects and data modeling teams. Skills /Competencies : - Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry - Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process Problem Scoping/definition Skills : - Experience in problem scoping, solving, quantification - Strong analytic skills related to working with unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores - Ability to foresee and identify all right data required to solve the problem Data Wrangling Skills : - Strong skill in data mining, data wrangling techniques for creating the required analytical dataset - Experience building and optimizing 'big data' data pipelines, architectures and data sets - Adaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomes Programming Skills : - Experience with big data tools: Spark, Delta, CDC, NiFi, Kafka, etc - Experience with relational SQL ,NoSQL databases and query languages, including oracle , Hive, sparkQL. - Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills : - Know how of any visualization tools such as PowerBI, Tableau - Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills : - Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis - Good understanding of how to transform and connect the data of various types and form - Great numerical and analytical skills - Identify opportunities for data acquisition - Explore ways to enhance data quality and reliability - Build algorithms and prototypes - Reformulating existing frameworks to optimize their functioning. - Good understanding of optimization techniques to make the system performant for requirements.

Nisje is a collaborative company built on the philosophy that people come first. We believe that engaging with people as humansnot just as roles or resourcesis the cornerstone of meaningful work. With global operations spanning decades and multiple continents, we invest in nurturing creative, curious, and courageous individuals to thrive in thoughtful, conscientious workplaces. Much of our work is closely connected to design-forward, premium lifestyle brands that are globally recognized for their craftsmanship, aesthetic clarity, and restraint. One of these is Paloform, a premium outdoor fire pit and fireplace manufacturer based in Toronto, with a strong presence across North America and Europe. At Nisje, our teams play a vital role in managing the end-to-end operations of such brandsacross research, strategy, marketing, finance, and more. Every step we take is measured with care, ensuring it aligns with our ethos and considers the sustainability of our world and environment. We place strong emphasis on care, quality, and purpose in everything we do. Our foundations are built on a set of key principles, which you can read below. A keen understanding of these will be required, and you may be asked to recall or reflect on them if you are shortlisted. Does This Sound Like You? If you are someone who loves to connect the dots, ask questions, and dig deeper, this could be the place to start your career. This role is designed for recent graduates who are naturally curious , love solving puzzles, and enjoy digging through information to uncover what really matters. You might be a great fit for this role if: You often find yourself asking why? or what else? —you don’t stop at the surface. You have a knack for spotting patterns and making connections others might miss. You like spending time organizing information , making sense of messy data, or figuring out how things are connected. You get a little thrill from discovering something useful that others might have missed. You’re the kind of person who says, “Let me look into it—I’ll find out.” You have an interest in design, creativity, or just appreciate thoughtful, well-made things. You’re not afraid to ask questions, learn new tools, and share what you’ve figured out. If this sounds like you —even if you don’t have prior work experience—we encourage you to apply. Role Overview We are looking for entry-level Market Research Associates to join our in-office research center in Trivandrum. This is a great opportunity for fresh graduates who are analytical, curious, and eager to learn how research drives real-world business growth. You’ll support our marketing and sales functions by researching companies, enriching contact data, and identifying trends in the architecture, design, and luxury home goods sectors across global markets. Key Responsibilities As a Market Research Associate at Nisje, your work will directly support our client-facing and internal teams by delivering reliable research and well-structured information. With guidance and training, you will: Conduct targeted research on companies and professionals within specific industries and geographies using digital platforms, directories, and online tools. Analyze and compile business information into structured formats to help identify relevant patterns, potential partnerships, and outreach opportunities. Enrich and verify data from existing databases by adding missing information, checking for relevance, and maintaining data hygiene. Segment and categorize information in alignment with business objectives to support personalized outreach and strategic campaigns. Present insights and summaries of your research in a clear and organized manner, using spreadsheets, dashboards, or internal documentation tools. Collaborate with cross-functional teams (marketing, operations, and strategy) to continuously align your research with evolving business needs. Contribute to ongoing projects focused on expanding market reach, supporting lead qualification, and maintaining high-quality business intelligence systems. What We’re Looking For Education: A Bachelor’s degree in any discipline (Business, Marketing, Economics, Communications, Design, or Data-related fields are a plus). Experience: 0–2 years of experience in research, analysis, business development, or similar roles. Traits and Skills : Strong research instincts and attention to detail. Comfortable with organizing and working in spreadsheets (Sheets or Excel). Strong written and verbal English communication skills—able to express ideas clearly and professionally in both written reports and conversations. Willingness to learn new tools, frameworks, or platforms. Self-motivated, dependable, and eager to explore new topics or industries. Comfortable working with data—whether it’s finding missing pieces, spotting patterns, or making sense of information. Prior internships, college projects, or coursework involving research or data (optional but helpful). Bonus (but not required) : Familiarity with LinkedIn, CRM tools (like HubSpot), or list-building tools. What We Offer A structured, mentored environment to grow your research and business skills. Opportunity to work with a global team gaining real exposure to international markets and practices. Regular collaboration with marketing, operations, and digital strategy teams working on premium design and luxury brands. A chance to contribute to brands that value design integrity, craft, and a global standard of excellence. INR 2,50,000 – 4,00,000 per annum Location: Trivandrum, Kerala (In-office job) 5-day work week Health Insurance Allowance for you and family members End-of-year paid time off (2 weeks) End-of-year bonus equivalent to half a month’s salary Key Principles - An explanation 1. Being Open The phrase being open can have various meanings depending on the context. As an Adjective and in an interpersonal context: 1. Receptive or Willing to Consider New Ideas: MEANING: WILLING TO LISTEN TO, CONSIDER, OR ACCEPT DIFFERENT VIEWPOINTS, SUGGESTIONS, IDEAS OR EXPERIENCES. EXAMPLE: SHE IS OPEN TO TRYING NEW CUISINES. ; BEING OPEN-MINDED CAN LEAD TO PERSONAL GROWTH. 2. Transparent and Honest: MEANING: BEING CANDID AND STRAIGHTFORWARD IN COMMUNICATION; NOT HIDING ANYTHING. EXAMPLE: HE WAS OPEN ABOUT HIS FEELINGS AND THOUGHTS. 3. Open Communication: MEANING: ENGAGING IN HONEST AND TRANSPARENT DIALOGUE. EXAMPLE: OPEN COMMUNICATION IS CRUCIAL IN ANY RELATIONSHIP. In summary, being open can describe a state of receptiveness, transparency, accessibility, flexibility, or honesty, depending on the situation. 2. Transparent The phrase being transparent generally means being open, honest, and clear in communication and actions. It involves sharing information freely and being straightforward about intentions, decisions, and processes. Here are some detailed aspects of what it means to be transparent: 1. Clarity and Openness: MEANING: COMMUNICATING IN A WAY THAT IS EASY TO UNDERSTAND AND LEAVES NO ROOM FOR MISINTERPRETATION. EXAMPLE: THE COMPANY WAS TRANSPARENT ABOUT ITS FINANCIAL STATUS WITH ITS EMPLOYEES. 2. Honesty and Integrity: MEANING : BEING TRUTHFUL AND NOT HIDING ANY RELEVANT FACTS OR INFORMATION. EXAMPLE : HE WAS TRANSPARENT ABOUT HIS PAST MISTAKES DURING THE INTERVIEW. 3. Visibility and Accessibility: MEANING : MAKING INFORMATION READILY AVAILABLE AND EASILY ACCESSIBLE TO THOSE WHO NEED OR HAVE A RIGHT TO KNOW. EXAMPLE : THE GOVERNMENT PLEDGED TO BE TRANSPARENT BY PUBLISHING ALL PUBLIC SPENDING REPORTS ONLINE. IN SPECIFIC CONTEXTS: 1. In Business and Organizations: MEANING : PROVIDING CLEAR AND HONEST INFORMATION ABOUT BUSINESS OPERATIONS, DECISIONS, AND FINANCIAL MATTERS TO STAKEHOLDERS. EXAMPLE : TRANSPARENT BUSINESSES BUILD TRUST WITH THEIR CUSTOMERS AND INVESTORS. 2. In Personal Relationships: KEY CHARACTERISTICS 1. Openness: SHARING INFORMATION FREELY WITHOUT WITHHOLDING ANYTHING THAT MIGHT BE IMPORTANT. 2. Honesty: BEING TRUTHFUL AND STRAIGHTFORWARD IN ALL COMMUNICATIONS. 3. Clarity: MEANING : BEING OPEN AND HONEST ABOUT ONES FEELINGS, INTENTIONS, AND ACTIONS. EXAMPLE : A TRANSPARENT RELATIONSHIP IS BUILT ON MUTUAL TRUST AND OPEN COMMUNICATION. PROVIDING INFORMATION IN A CLEAR AND UNDERSTANDABLE MANNER, AVOIDING AMBIGUITY. 4. Accountability: BEING RESPONSIBLE FOR ONE’S ACTIONS AND BEING WILLING TO EXPLAIN THEM. EXAMPLE SENTENCES: “THE MANAGER WAS TRANSPARENT ABOUT THE REASONS BEHIND THE LAYOFFS.” “A TRANSPARENT PROCESS HELPS TO AVOID MISUNDERSTANDINGS AND BUILDS TRUST. “ MEANING – SHOWING CARE AND CONSCIENTIOUSNESS IN ONE’S DUTIES OR WORK. USAGE – TYPICALLY USED TO DESCRIBE A PERSON WHO WORKS HARD AND PUTS A LOT OF EFFORT INTO THEIR TASKS, CONSISTENTLY STRIVING FOR ACCURACY AND QUALITY. EXAMPLE – “SHE WAS A DILIGENT STUDENT, ALWAYS COMPLETING HER ASSIGNMENTS ON TIME AND PAYING CLOSE ATTENTION TO EVERY DETAIL.” IN SUMMARY, A DILIGENT PERSON IS ONE WHO IS DEDICATED, ATTENTIVE, AND HARD-WORKING. 4. Responsible The word “responsible” is an adjective that describes someone who has the duty or obligation to deal with something or someone, and who is reliable and trustworthy in fulfilling those obligations. Here is a more detailed definition: MEANING(S) 1. HAVING AN OBLIGATION TO DO SOMETHING AS PART OF A JOB OR ROLE. 2. BEING THE PRIMARY CAUSE OF SOMETHING AND SO ABLE TO BE BLAMED OR CREDITED FOR IT. 3. CAPABLE OF BEING TRUSTED TO DO WHAT IS RIGHT OR TO DO THE THINGS THAT ARE EXPECTED OR REQUIRED. USAGE – USED TO DESCRIBE A PERSON WHO IS ACCOUNTABLE FOR THEIR ACTIONS AND DUTIES, AND WHO CAN BE TRUSTED TO HANDLE TASKS AND MAKE DECISIONS RELIABLY. EXAMPLE(S) “SHE IS RESPONSIBLE FOR MANAGING THE PROJECT AND ENSURING IT IS COMPLETED ON TIME.” “HE WAS FOUND RESPONSIBLE FOR THE ACCIDENT.” “A RESPONSIBLE PERSON ALWAYS KEEPS THEIR PROMISES AND MEETS THEIR COMMITMENTS.” In summary, being responsible means being accountable, dependable, and trustworthy in fulfilling one’s duties and obligations. 5. Mature The word “mature” can be used as both an adjective and a verb, with slightly different meanings in each case. Here are the definitions for the use case of an Adjective : 1. Emotionally or Mentally Developed: MEANING: HAVING OR SHOWING THE MENTAL AND EMOTIONAL QUALITIES OF AN ADULT; BEHAVING IN A SENSIBLE AND RESPONSIBLE WAY. EXAMPLE – “SHE IS VERY MATURE FOR HER AGE, ALWAYS HANDLING DIFFICULT SITUATIONS CALMLY.” 2. Considered and Thoughtful: MEANING: MADE AFTER CAREFUL CONSIDERATION; SHOWING CAREFUL THOUGHT. EXAMPLE: “HE MADE A MATURE DECISION AFTER WEIGHING ALL THE OPTIONS.” In summary, as an adjective, “mature” can refer to the state of being fully developed, whether physically, mentally, or emotionally.

The Role Market Data Operations focuses on public markets Investment Data. The team collects and validates information on equities, bonds, funds and derivatives. This data is used for our wealth management platform reaching over 1000 firms globally and over 100,000 users. We are currently seeking a Market Data Operations Analyst to join our growing presence in Pune. This role will be dedicated to ensuring Addepar's clients have timely and accurate data to make investment decisions. What You Will Do Daily data quality validations on pricing, fundamental and corporate action data Investigate and Resolve exceptions on a variety of data assets, including reference data, pricing data, corporate actions, fund data and fx data Research data quality issues, identify resolutions and updating systems as needed Explore new datasets and analytics based on new data sources Partner with Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency. Investigate and troubleshoot market data pipeline processing exceptions Collaborate with third-party vendors to triage and swiftly resolve issues Who You Are Minimum 2+ years of relevant work experience in the financial investment/advisory industry with deep knowledge of capital markets. Asset Reference Data- Understanding of various type financial instruments- Equities, Fixed Income, Derivatives and Currencies Corporate Action - Monitor, research and interpret different events impacting the asset Understanding of pricing process and familiarity with Pricing data vendors Technical skills preferred - Proficiency with SQL queries highly preferred , Data mining projects or Knowing Databricks application are an added advantage. Excellent interpersonal skills and strong self-motivation needed to work efficiently in a global team Experience in the financial investment/advisory industry with capital markets Experience with ICE Data Feeds and Eikon/Refinitiv Workspace and similar data platforms is highly preferred Flexible to work in various shifts if required. Important Note - This role requires working from our Pune office 3 days a week (Hybrid work model)

Role : Principal Data Scientist / LLM Specialist Responsibilities : 1. Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must.- Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)- Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus.- Proficient knowledge of cloud platforms (AWS, GCP, Azure).- Strong problem-solving and analytical skills.- Ability to work in team-oriented, collaborative environment. Data Scientist- Statistician- Data Engineer- Python- R- Supervised & Unsupervised learning- Machine Learning Algorithms- Deep Learning- Hugging Face- Natural Language Processing (NLP)- Computer Vision- TensorFlow- PyTorch- Scikit-learn- Transformers- LLM Frameworks- LLM Models- GPT -3, 4o- BERT- Llama

Role : Principal Data Scientist / LLM Specialist Responsibilities : 1. Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)- Experience with data labeling and annotation tools.- Certifications in cloud platforms or ML technologies can be a plus.- Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills.- Ability to work in team-oriented, collaborative environment. Data Scientist- Statistician- Data Engineer- Python- R- Supervised & Unsupervised learning- Machine Learning Algorithms- Deep Learning- Hugging Face- Natural Language Processing (NLP)- Computer Vision- TensorFlow- PyTorch- Scikit-learn- Transformers- LLM Frameworks- LLM Models- GPT -3, 4o- BERT- Llama

NUTRIS CROP SOLUTIONS INDIA PVT.LTD is looking for DATA ANALYST to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Inspira Enterprise India Pvt. Ltd. is looking for Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. BE/B.Tech/B.SC IT/ BCA Total 3 years of exp. CEH certification Must Monitoring Tracking Incidents/Alerts 24x7, Reporting Escalation, Regular SIEM Administrati

Responsibilities : 1. Strategic Leadership : a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities. b. Oversee the design, development, and implementation of data science solutions. c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy : a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks. b. Design and implement data preprocessing, cleaning, and augmentation techniques. c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development : a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains. c. Apply advanced data mining and machine learning techniques to extract valuable insights. d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis : a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance. b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection. c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills : - 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field. - Deep understanding of LLM architectures, algorithms, and techniques. - Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries - Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) - Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus. - Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills. - Ability to work in team-oriented, collaborative environment. Keywords : - Data Scientist - Statistician - Data Engineer - Python - R - Supervised & Unsupervised learning - Machine Learning Algorithms - Deep Learning - Hugging Face - Natural Language Processing (NLP) - Computer Vision - TensorFlow - PyTorch - Scikit-learn - Transformers - LLM Frameworks - LLM Models - GPT -3, 4o - BERT - Llama

Role : Principal Data Scientist / LLM Specialist Responsibilities : 1. Strategic Leadership : a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities. b. Oversee the design, development, and implementation of data science solutions. c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy : a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks. b. Design and implement data preprocessing, cleaning, and augmentation techniques. c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development : a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains. c. Apply advanced data mining and machine learning techniques to extract valuable insights. d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis : a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance. b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection. c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills : - 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field. - Deep understanding of LLM architectures, algorithms, and techniques. - Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries - Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) - Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus. - Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills. - Ability to work in team-oriented, collaborative environment. Keywords : - Data Scientist - Statistician - Data Engineer - Python - R - Supervised & Unsupervised learning - Machine Learning Algorithms - Deep Learning - Hugging Face - Natural Language Processing (NLP) - Computer Vision - TensorFlow - PyTorch - Scikit-learn - Transformers - LLM Frameworks - LLM Models - GPT -3, 4o - BERT - Llama

Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society. We are looking for a Business Analyst - Commercial Excellence - Water & Industrial Business Unit to join our FE_WIBU team in India . Your main tasks and responsibilities: 1. Comprehension of business processes and related systems; manage process improvement activities (projects and continuous improvement); primary development focus is on sales processes and accuracy in Sales reporting Focus on improving data quality to automate monitoring and forecasting process Expert in transactional processes, able to detect waste and streamline value chain introducing continuous improvement practices Create and contribute to Business Intelligence projects as Subject Matter Expert and Data Scientist skills Supporting, cooperating with, and participating in company-wide LEAN and ESH initiatives 2. Ensure that Salesforce CRM, CPQ, ERPs and other main systems support WIBU s business processes Team Lead for WIBU Salesforce Champion network Regular meetings with Salesforce champions CRM maintenance coordination CRM and BI Tools Dashboard creation and maintenance Support Business Intelligence data collection and Governance 3. Support sales management team to enable more agile and market-segment focused front sales activity Regular pipeline/forecast review with sales management team Skilled in data mining, accessibility to data in various systems (ERPs) Manage continuous iteration on commercial follow-up, by region, Segment and Business type (New and Sales) Liaise with Finance and with Strategy (Budgeting Process, by Segment, by Region, by Product) Progress Tracking of X-Matrix platform (cross functional, not just Sales Department) Rolling Forecast management, both for OI (Order Intake) and Sales. 4. Acting as a role model for accountability, integrity and business ethics. Ensuring full compliance with all local laws and regulations, acting in full compliance with all local, divisional and corporate regulations. To succeed in this role, you will need: Work experience: 3-5 years Expertise (e.g. professional, technical): Professional, Experience in business analysis projects, Basic Finance, Knowledge on Sulzer Pumps products, MS Office, SAP, Salesforce CRM, QlikSense, PowerBI or equivalent Education: Level: Bachelor Subject: Engineering, Economics or Business Administration Certifications: Data Science Expertise is preferred Languages: English, other language(s) appreciated Soft skills: Analytical, Enthusiastic, Innovative, Resilient, Effective Communicator Other: Ability to work with broad spectrum of tasks in an often-busy business multi-cultural environment. Problem solving and reporting skills. Good networking and co-operation skills, hands-on approach and attitude, willingness to travel internationally, ability to carry out multiple simultaneous tasks promptly and independently. Ability to lead cross-functional teams (PD, operations/factories, procurement, IT etc.) without formal authority. Sulzer is an equal opportunity employer. We believe in the strength of a diverse workforce and are committed to offering an inclusive work environment. We are proud to be recognized as a Top Employer 2025 in Brazil, China, Finland, Germany, Ireland, Switzerland, South Africa, the UK and the USA.

Job Title Senior Research Scientist (Hybrid) Job Description For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work. Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students lives. The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them. Kaplan is looking for a Senior Research Scientist to join the Learning Analytics and Psychometrics team. This global team consists of talented professionals who provide their services in the field of psychometrics and learning analytics. This team enables proper assessment and learning functioning across all product lines and is responsible for learning and testing algorithms, within the Kaplan ecosystem. The Senior Research Scientist will be responsible for the projects related to learning analytics, which analyzes learner s activity, learning and assessment data. The role will be proficient with analyzing large and complex datasets, and transforming data into actionable insights and suggesting strategies to improve learners learning experience and performance. The Senior Research Scientist role is a creative problem solver who utilizes advanced statistical principles and modeling techniques to uncover new insights that will significantly and meaningfully impact student s learning. The position requires an experienced, highly motivated, self-driven and creative individual, with strong critical thinking and problem solving skills, able to multi-task independently with minimum supervision. Primary Responsibilities Work closely with the Director of Psychometrics and Learning Analytics on the assessment and learning analytic projects. Independently design, plan, and execute complex learning analytical projects which are aimed to improve students experience and outcome in online learning. Independently perform the full range of learning analytics activities including descriptive analytics, predictive analytics, data mining, causal inference, machine learning, network analysis, and analytic dashboards. Extract, preprocess, manipulate, analyze & interpret complex data from various corporate data sources developing advanced analytic algorithms and solutions, deriving key observations, findings, insights, and formulating actionable recommendations Apply advanced analytical and research methods and incorporate AI models to identify learning gain, model learner s behaviors, develop learning metrics, recommend learning paths, and improve learning product effectiveness. Collaborate with psychometricians, data analysts, data scientists, content developers, platform engineers, product and business owners, and other stakeholders to solve product and business problems. Prepares technical reports, whitepapers, and related documents. Present impact, insights, outcomes & recommendations to key business partners and stakeholders. Mentor junior team members and provide guidance on project directions and technical challenges. Other duties as assigned. Minimum Qualifications Advanced Degree (Master s or Doctoral) in Data Science, Statistics, Quantitative methodology, Educational Technology, Mathematics, Computer Science, Psychometrics or a related field with strong quantitative focus PhD candidates are preferred and strongly recommended 5 + years of work experience in data science, analytics, statistical modeling or quantitative research in an educational and/or professional organization. Substantial work experience in educational research and learning analytics is a plus. Hands-on experience with educational assessment and learning analytical data and research projects. Proficient in R/ Python or one programming language. Proficient in data manipulation and applied statistics including multiple regression, predictive modeling, Bayesian methods, and machine learning. Excellent working knowledge of SQL and data visualization tools. Excellent verbal, written, and interpersonal communication skills. Experience in leading research projects and providing guidance to junior members. Preferred Qualifications Experience of AI in educational learning products, including adaptive learning and individualized tutoring, is a big plus.

Operations Advanced Analytics team is looking for creative and motivated hands on individual contributors who thrive in dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apple s supply chain and manufacturing processes. As a part of this role, you would work with the team to build end to end machine learning systems and modules, and deploy the models to our factories. Youll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred Qualifications Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. Proven experience in leading and mentoring teams is a plus.