About The Role The candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. He/she should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. He/she must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical and Functional Skills: Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 7+ years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization. Experience inData Extraction tools, Advanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge- Campaign Analytics. Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data andanalytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment- Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 5+ years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Senior Process Manager Roles and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical and Functional Skills: Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 8-10 years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization. Experience inData Extraction tools, Advanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge - Campaign Analytics. Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data andanalytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment- Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus.

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Senior Process Manager Roles and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical and Functional Skills: Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 8-10 years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization . Experience in Data Extraction tools, A dvanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge - Campaign Analytics . Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data andanalytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment- Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus.

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Collaborate with clients to understand their business objectives and provide analytic solutions that positively address their needs. Conduct discovery sessions, workshops and whiteboard sessions to identify, understand and define customer needs, objectives, roadmaps and/or business requirements to design solutions that can best address existing or prospective clients. Conducting stakeholder interviews and workshops to gather and prioritize business requirements. Analysing and documenting current business processes and systems. Identifying opportunities for process improvement, cost reduction, and efficiency gains. Translating business requirements into functional specifications for technical teams. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Collaborating with stakeholders to validate requirements and ensure alignment with business goals. Supporting the implementation and testing of solutions to ensure they meet business needs. Technical and Functional skills: 5 years of experience as a customer facing business analyst with minimum graduation in any field. Analytical ExpertiseProficient in analysing business processes, systems, and requirements to identify areas for improvement and optimization. Communication Skills: Ability to effectively communicate with stakeholders from various backgrounds to gather requirements, facilitate meetings, and present findings. Problem-Solving Skills: Capable of identifying problems, proposing solutions, and implementing strategies to address business challenges. DocumentationSkilled in documenting business requirements, user stories, process flows, and other artefact to ensure clear communication and understanding among stakeholders. Data AnalysisComfortable with data analysis techniques and tools to derive insights and make data-driven recommendations. Domain KnowledgePossesses a deep understanding of the Hi-tech industry or Supply chain / logistics domain, enabling them to provide valuable insights and recommendations. Project ManagementFamiliarity with project management methodologies and practices to effectively manage project timelines, resources, and deliverables. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Knowledge of data visualization tools like Power BI, Tableau, QlikSense etc. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Very high attention to detail and quality.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech / BE / BSc / MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge- Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment- Hive, Presto is a plus Experience in Python/R

This is a high-impact role for someone who thrives at the intersection of data science and business strategy, and is passionate about applying AI to make life insurance more accessible, personalized, and efficient. A skilled and business-oriented Data Scientist to join Data Science & Analytics team and drive data-led decision-making across the life insurance value chain. To solve key business problems such as improving customer acquisition, underwriting, cross-sell, persistency, and claims using advanced analytics and AI (and GenAI). To collaborate with cross-functional teams including Product, Sales, Marketing, Risk, and Actuarial to build predictive models, segment customers, optimize campaigns, and design intelligent automation solutions. To extract insights from complex datasets, creating machine learning pipelines, and deploying scalable models that directly impact business growth and efficiency. Key Focus Areas: To drive data-driven strategy, solving business problems using data & decision science Be actively involved in taking key decisions for the company, charting out how we play in the competitive landscape. To Chalk out Analytical solutions and strutured approach, to solve complex business problems To identify friction points for the customers, and producing innovative ideas/solutions To analyze structured and unstructured data to generate actionable insights, to derive insights & actionables to steer business. To collaborate with Business stakeholders such as Product, Marketing, Sales, Risk, Underwrting, Customer Service and Actuarial teams, to make tangible business impact leveraging data and AI To Develop statisitcal/predictive/ ML & GenAI models, if required, to solve the business problem Qualifications & Competencies: A problem solver at heart, first-principles thinker, enjoy challenging status quo, coming up with non-traditional solutions to traditional problems, love numbers, are married to technology and have a bias for action. 4-8 years of hands-on and strong experience in core Advanced Analytics, Data Science, and Predictive Modeling/ML/AI & GenAI Proficiency in statistical data analysis and modeling tools such as SQL, Python and respective libraries Good knowledge of statistics and predictive modeling concepts Experience in Amazon Web Services (Lamda, SNS, SQS, RDS, EC2, KMS, etc.) environment, Sagemaker and QuickSight preferred Insurance, other banking/financial industry, FinTech, HealhTech experience preferred Understanding of Credit Risk Assessment, alternate risk scoring, credit profiling & segmentation, dynamic pricing model based on risk profile, fraud prevention preferred. Understanding of Google Analytics suite, Google Cloud & BigQuery preferred. Minimum Bachelor's degree in Engineering/Technology / Statistics or MBA from a premium B school

Job Summary: We are seeking a forward-thinking AI Business Analyst with a strong foundation in IT Business Analysis and a passion for AI-driven innovation. The ideal candidate will possess exceptional analytical skills, technical expertise, and experience in delivering transformative digital solutions. This role will play a pivotal part in bridging the gap between business needs and cutting-edge AI technologies to drive strategic value across the organization. Key Responsibilities: Requirements Gathering: Engage with stakeholders to elicit, analyze, and document business requirements. Ensure business needs are aligned with strategic objectives and technological capabilities. Solution Design: Evaluate current business processes and identify opportunities for AI integration and digital transformation. Collaborate with cross-functional teams to design innovative, data-driven solutions. Project Support: Assist project managers in delivering AI and digital initiatives on time and within scope. Support end-to-end project lifecycles including planning, execution, and post-implementation analysis Data Analysis: Leverage data analytics tools to analyze large and complex datasets. Generate insights and actionable recommendations to inform decision-making and optimize processes. Stakeholder Communication: Maintain strong communication channels with internal and external stakeholders. Translate technical concepts into clear, business-friendly language. Documentation: Prepare comprehensive documentation including business requirements, functional specifications, process flows, and user guides. Training & Support: Facilitate user training and onboarding for new AI systems and digital tools. Provide ongoing support to ensure user adoption and satisfaction Qualifications Education: Bachelors degree in Computer Science, Information Technology, Business Administration, or a related field.. Experience: 5-7 years of experience as an IT Business Analyst . Technical Proficiency: Familiarity with data analytics platforms and visualization tools. Exposure to AI technologies (e.g., Chat GPT, Gemini, machine learning frameworks). Experience with project management tools (e.g., Jira, Trello, Asana) . Preferred Qualifications AI Expertise: Experience with AI models, natural language processing, predictive analytics, or intelligent automation. Digital Transformation: Hands-on experience in initiatives such as cloud migration, process automation, and digital strategy development . Certifications: Relevant certifications in Business Analysis (e.g., CBAP), AI/ML, or Agile methodologies are a plus. .

Roles and Responsibilities Develop market mix models using SAS, SQL, and statistical techniques to drive business decisions. Collaborate with cross-functional teams to design and implement data science solutions for revenue growth management. Conduct time series analysis and predictive analytics to forecast demand and optimize pricing strategies. Design and execute A/B testing experiments to measure the impact of marketing campaigns on customer behavior. Provide insights and recommendations to stakeholders through clear communication of results. Desired Candidate Profile 2-7 years of experience in Market Mix Modelling or related field (Data Science). Strong proficiency in Python programming language with expertise in machine learning algorithms such as logistic regression, naive bayes, etc. . Experience working with large datasets using tools like Spark, Hadoop, NoSQL databases etc. . Bachelor's degree in Mathematics/Statistics/Computer Science/Engineering from a top tier institute.

Job Description:You will be playing a crucial role in helping the Solutioning Team to drive the process and product improvement and will be part of a dynamic team culture offering strong internal networks and support Your role will be to help the Senior Solution Consultant Team members to effectively conduct the Proof of Concepts, Analyze the client s data, Historical Compliances and identify the areas for potential savings You will work along with Solutioning Team to help them create an impactful business case, effectively plan the client s interactions, decode the client s current compliance process and identify the improvement areas What will you doCreate data-backed Proof of Concepts that showcase the effectiveness and relevance of our solutions Your ability to articulate the results in a clear and compelling manner will be crucial in gaining client confidence Ability to analyze the client s compliance data, historical compliances and identify the areas for potential savings Leverage data and case studies to enhance the credibility of proposed solutions and contribute to the development of compelling sales strategies Decode the client s current compliance process and identify the improvement areas Act as a key liaison and a subject matter expert, keenly identifying pain areas and challenges faced by potential clients at the initial client discussions Utilize your expertise to develop and present tailored solutions that effectively address client pain points, demonstrating a deep understanding of our products and services Assist the client facing teams with the necessary insights to effectively discuss the product / solution with the clients Provide guidance and coaching to the sales teams on GST compliances and other domain-specific knowledge Identify the client s new requirement and give feedback to product development team for addition in features Requirements: CA semi-qualified with 2+ years of experience working in Clear in the GST compliance domain Strong command on law relating to taxes Possess excellent communication skills and be confident speaking to large groups Proficiency in navigating and utilizing Clear tech products, ensuring a comprehensive grasp of our solutions Ability to identify the compliances and process gaps of the large corporates and critical thinker Fundamental knowledge of accounting basics, including familiarity with General Ledgers (GLs) and booking processes Good communication, presentation, and interpersonal skills Solid understanding of the tax function, the tax compliance process, the tax technology landscape, and tax software products Practical but can think strategically and out of the box

Job Title: Data Scientist Reports to: Lead – Data Science about upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment. JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you? Disruptive projects : Work on ‘breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploying solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- Resources Title:- Data Science Associate Director Job Location Bangalore/Gurgaon/Mumbai About S&C - Global Network :- Accenture 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 As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role The ideal candidate shall be, Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels Strategic mindset, with the ability to drive business growth and identify new opportunities Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets. Qualifications Who we are looking for? Qualifications and Experience Bachelors/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field 15+ year(s) experience as a Data Science with a focus on cloud services. Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design. Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings. Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred. Understanding of programming languages such as Python, PySpark, SQL, or Scala. Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring. Solid understanding of data integration, data modeling, and data warehousing concepts. Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / master’s degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / master’s degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / master’s degree in computer science, statistics, applied mathematics, or a related field.

Job Title: Data Scientist-Demand / Time Series Forecatsing Reports to: Lead – Data Science about upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment. JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Must have experience in Demand Forecasting / Time series Forecasting Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you? Disruptive projects : Work on ‘breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploying solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

In the GTM advanced analytics COE, our mission is to deliver impact by building machine learning (ML) products to optimize pricing, marketing investments and provide guidance to sales and other HP teams. We are looking for a Senior Data Engineer to join our data engineering team. If you are passionate about solving problems and making improvements through data and technology, we are eager to talk to you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and is a self-motivated developer who also enjoys working in a team environment. Our people have a creative, innovative, fun, and collaborative attitude, and are dedicated to creating new and valuable solutions for HP. Responsibilities: Applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives. Works on problems of diverse complexity and scope. May act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution. Ability to handle most unique situations. May seek advice in order to make decisions on complex business issues. Requirements: 5+ years of experience in software or data engineering. Highly proficient in data modeling, data integration and processing of structured and unstructured data. Proficient in one or more programming languages (Python preferred). Strong SQL proficiency (experience with NoSQL - advantage). Experienced with Apache Spark / pyspark Excellent communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design and change proposals. Excellent mentor to less experienced data engineers Databricks experience Additional preferred qualifications: Pandas Familiar with best practices of the data and software engineering lifecycle and/or best practices of the above platforms and tools.

When you come aboard Clear Enterprise Sales, you ll play a key role in contributing to our company s revenue growth You ll be working with a team of young and dynamic sellers, some of the finest B2B SaaS professionals from across India From representing our brand in front of major clients, introducing our best-in-class products and services, and solving complex problems for the CFO s office, this role constantly challenges you to grow and outperform yourself If you love working in a high-impact, meritocratic environment with well-defined career paths and promotional opportunities, this is where you need to be About the Role The Senior Enterprise Sales Manager is responsible for acquiring targeted high turnover clients thereby directly contributing to the companys revenue growth In this role, you ll be establishing long lasting relationships with major clients, understanding their needs, using that knowledge to introduce our offerings and convincing CXOs to buy our solutions This role reports directly to the Regional Sales Head On most days, this role requires you to be on the field, proactively engaging with leads and selling to them in person What will you do? * Understand CLEAR suite of products and communicate value to CFOs of Fortune 500 and High Turnover Indian companies * Effectively navigate target organizations (end users, influencers, decision makers) and manage the end-to-end sales cycles within defined timeline * Gather competitive landscape insights and help distinctively position CLEAR s USP to ensure deal closure * Develop deep expertise on existing and new offerings of Cleartax and facilitate building of detailed customized pitches and proposals * Co-ordinate and close all contractual documentation for closure and revenue collection * Regularly update sales data in CRM for tracking and analysis What will make you successful? Your self-starter nature, undying hunger for sales and the ability to thrive on setbacks will see you succeed in this role You must have great communication and presentation skills Negotiation and objection handling skills should come naturally to you 6+ years of B2B sales experience in a reputed firm with a proven track record of exceeding targets will ensure that you will have a great headstart when you join us Great to haves * BCom in any specialization * An MBA degree in any specialization * 6-12 years B2B solution selling experience

Strong project management skills to oversee and coordinate multiple data science projects, ensuring they are delivered on time and within scope while meeting expectations Demonstrated experience in providing strategic direction and leadership for a data science team, aligning initiatives with overall business goals Understanding of how advanced analytics solutions, AI/ML models, and operationalizing based on ML process are leveraged and delivered in Supply Chain domain In-depth knowledge of supply chain processes, logistics, inventory management, and demand forecasting within various industries Strong understanding of financial concepts and analytics to provide insights into budgeting, cost optimization, and financial forecasting Experience in developing demand forecasting models to optimize inventory levels, reduce stockouts Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases Experience in machine learning frameworks and tools (For e g scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Familiarity with prrogramming in SQL and Python/Pyspark to guide teams Familiarity with visualization tools For eg: Tableau, PowerBI, AWS QuickSight etc

About ClearThe journey of simplicity throughout the last decade, Urged us to make things clear so that its easier done than said Clear Today is Indias leading fintech SaaS platform, serving 3K+ enterprises, 6L+ SMEs, and 5M+ individuals, with our ITR, GST, e-Invoicing products, and more While the journey has not been easy, it has been transforming Founded in 2011, the decade-long journey of ClearTax defines growth Starting with just 3 tech products related to tax and filing, we now build mobile and web-based SaaS products for invoices, taxes, payments, and credit and augment them with strong advanced analytics and artificial intelligence We are also a Series C-funded startup with a strong team of 1000+ members, and as we continue to evolve into a world of new financial solutions, were looking for individuals with perspectives to join our team Responsibilities Preparation, verification, and review of periodic GST tax returns of clients and ensure filing of the same within prescribed due dates Coordination with clients and teammates for GST Compliance Ensuring diligent execution of work assigned by the seniors and regular updates to seniors Training new team members during the execution of assignments Requirements Working Knowledge of GST and enthusiasm to constantly upgrade skills & knowledge Expertise in MS Office with advanced Excel skills Experience in Indirect Taxation (at least 2 years) Good communication skills Good technical acumen Strong work ethics and personal conduct

About ClearThe journey of simplicity throughout the last decade, Urged us to make things clear, so that its easier done than said Clear Today is Indias leading fintech SaaS platform, serving 3K+ enterprises, 6L+ SMEs, and 5M+ individuals, with our ITR, GST, e-Invoicing products, and more While the journey has not been easy, it has been transforming Founded in 2011, the decade-long journey of ClearTax defines growth Starting with just 3 tech products related to tax and filing, we now build mobile and web-based SaaS products for invoices, taxes, payments, and credit and augment them with strong advanced analytics and artificial intelligence We are also a Series C-funded startup with a strong team of 1000+ members, and as we continue to evolve into a world of new-financial solutions, were looking for individuals with perspectives to join our team Responsibilities Preparation, verification and review of periodic GST tax returns of clients and ensure filing of the same within prescribed due dates Coordination with clients and teammates for GST Compliance Taking entire responsibility for the quality deliverable, ensuring committed deadlines Ensuring diligent execution of work assigned by the seniors and regular updates to seniors Involving team for GST related discussions and GST product-related discussions being a team leader Provide Inputs and involve in the Product or Tool development and provide necessary guidance to the seniors as and when required Ensuring following and showing progress on the Key Performance Indicators provided by Clear Co-ordinate with the seniors for business leads and provide the necessary support to enable the seniors to proceed on business leads Requirements Experienced in Indirect Taxes and enthusiasm to constantly upgrade skills & knowledge Expertise in MS Office with advanced Excel skills Team leader skills - Taking responsibility for the team, responsibility for the quality deliverable within committed deadlines communication skills and strong technical acumen Strong work ethics and personal conduct Education

We are also a Series C-funded startup with a strong team of 1000+ members, and as we continue to evolve into a world of new-financial solutions, were looking for individuals with perspectives to join our team About the RoleAs an Engagement Manager in the Customer Success Team, you ll be responsible for ensuring positiveexperience for our high valued customers You will leverage your expertise on the GST domain andunderstanding of our product/service offerings to provide effective support and guidance to customers,and ultimately drive greater customer satisfaction, retention, and revenue growth for the company What will you do? Manage the entire customer lifecycle for LC and VLC clients - onboarding, planning andimplementation, deployment and ongoing usage Proactively connect with senior executives at the customer end to understand challenges faced by them Visit customer basis schedule - 2-3 days prior to usage to gauge readiness and support that will be required on first usage Solve problems for customers (via our product) on GST / e-invoicing / Integration / Max ITC and various other product Drive product adoption and ensure exceptional user experience Review with Delivery leadership and Sales team on Clear s performance, issues and client success (prior to the delivery review meeting with Client) Closely work with product teams to enable constant improvement in product features basis inputs from clients Develop and execute Client specific Quarterly Business plans to enable KAM/Sales to cross-sell and improve value delivery to clients Develop an understanding of client business and processes and help in optimizing the usage of Clear Products more efficiently to drive valueWhat will make you successful?You should be a qualified CA and have an experience of 3-4 years working in the GST domain Yourpeople-centric approach and the ability to thrive in a fast-paced environment will see you succeed in this role You must have great communication and presentation skills You should be good at Problem-solving and driving change management working with client teams You must show a deep understanding of customer problems and collaborate with internal stakeholders to keep our customers satisfied at all times Great to have Experience in filing through Clear Portal Experience filing through the government portal Deep domain knowledge of Compliance processes (GST, TDS) and Accounts Payable withability to guide end-to-end filing process for compliance Strong program management skills Ability to connect with CXO/CXO-1 (CFO, Tax heads etc)