8 Customer Lifecycle Jobs

Responsibilities Understand client digital transformation needs and consult / provide customized solutions. Create compelling transformation pitches to promote value based selling specific to verticals. Respond to RFP/RFIs/RFQs, build proactive proposals with customized transformation solutions. Develop and manage digital offerings across verticals including ENU, Retail, Telecom, Healthcare, etc. Work on the transformation solution commercials, create business for the opportunity and handle client presentations, solution defense and visits. Create crisp and appealing report outs (based on assessment), client presentations, solution defense deck, capabilities deck and marketing content. Create industry specific white papers, point of view and case studies. Perform analytics on operations data to build financially visible solutions. Skills Excellent written and oral communication skills (ability to articulate key messages) Experience with leading contact centre technologies i.e., have extensively worked on technology solutions which includes IVR, Chat/Chatbots, GenAI based solutions, CCaaS, Augmented Reality, RMs, etc. Operations and customer experience data analytics (should be good with excel. Experience in any other analytical tool will be an added advantage). Excellent with MS Office (must have good PowerPoint skills) Key Asks Continuously upgrade in the customer experience transformation space (specific to technologies). Ability to learn fast and deliver against stringent timelines. Readiness to travel as and when required on short notice. Required to work long hours on need-basis (especially during large deals submission). Should be able to work independently with minimum inputs and in ambiguous scenarios.

Responsibilities Understand client digital transformation needs and consult / provide customized solutions. Create compelling transformation pitches to promote value based selling specific to verticals. Respond to RFP/RFIs/RFQs, build proactive proposals with customized transformation solutions. Develop and manage digital offerings across verticals including ENU, Retail, Telecom, Healthcare, etc. Work on the transformation solution commercials, create business for the opportunity and handle client presentations, solution defense and visits. Create crisp and appealing report outs (based on assessment), client presentations, solution defense deck, capabilities deck and marketing content. Create industry specific white papers, point of view and case studies. Perform analytics on operations data to build financially visible solutions. Skills Excellent written and oral communication skills (ability to articulate key messages) Experience with leading contact centre technologies i.e., have extensively worked on technology solutions which includes IVR, Chat/Chatbots, GenAI based solutions, CCaaS, Augmented Reality, RMs, etc. Operations and customer experience data analytics (should be good with excel. Experience in any other analytical tool will be an added advantage). Excellent with MS Office (must have good PowerPoint skills) Key Asks Continuously upgrade in the customer experience transformation space (specific to technologies). Ability to learn fast and deliver against stringent timelines. Readiness to travel as and when required on short notice. Required to work long hours on need-basis (especially during large deals submission). Should be able to work independently with minimum inputs and in ambiguous scenarios.

Job Title: Data Scientists Location: Navi Mumbai Duration: Fulltime Positions: Multiple We are looking for a highly skilled Data Scientists with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent Mandatory. • Proven track record in Demand Forecasting Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning

Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent Mandatory. • Proven track record in Demand Forecasting Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning Locations: Mumbai/Pune/Noida/Bangalore/Jaipur/Hyderabad

This position will be part of Sapiens Digital (Data Suite) division, for more information about it, click here: We are looking for an enthusiastic Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights. What youll do: Data Collection & Preprocessing Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. Model Development & Evaluation Building predictive models to enhance accuracy. Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms. Reporting & Visualization Create clear and informative data visualizations and reports to communicate insights to business stakeholders. Tracking key metrics and performance indicators related to business objectives. Cross-functional Collaboration Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions. Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives. Research & Learning Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry. Participate in ongoing training and development programs to enhance technical skills and industry knowledge. What to Have for this position. Must have Skills. Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Masters degree is a plus. Experience : 4+ years of experience in data science or analytics Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required. Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry. Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus. Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis. Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn. Data Manipulation: Basic skills in SQL for querying and extracting data from databases. Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics. Required Soft Skills: Curiosity & Willingness to Learn : Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain. Problem-Solving Skills : Ability to approach challenges analytically and think critically about data and project requirements. Attention to Detail : Keen eye for detail in data handling and model development to ensure high-quality outcomes. Communication Skills : Clear and concise communication skills, with the ability to present findings and insights effectively. Team Collaboration : Willingness to work collaboratively within a team, receiving and applying feedback from senior team members.

Job Summary:We seek an organized and detail-oriented Sales Coordinator to support our sales team. The successful candidate will manage administrative tasks, coordinate sales activities, and ensure seamless communication between sales, customers, and internal teams. Key Responsibilities:1. Responsible for updating the Sales Force Software on a Daily Basis.2. Compiling the Goal Settings on a weekly and Monthly basis..3. Review non Performing Customers with the Respective Sales Teams and report those not Active beyond 15 days to the Management.4. Distribute Non Performing Customers to other Sales Representatives in consultation with the Management.5. Present a Simple Daily, Weekly, Monthly Sales Dashboard on Sales Force to the Management.6. Report the Weekly Quotations mailed and Conversions done to the Management.7. Tracking the progress of the Customers from A to B to C buckets.8. Track the overall Customer lifecycle i.e leads to opportunities to closures to Sales Invoicing and report them to the Management.9. Give complete details of the overall quotations of the live customers and also Loss of the Customers due to any issues to the Management.

Hi, We are hiring for the Leading ITES Company for CEM Transformation Profile. Job Description: Atleast 10 to 15 Years with at least 8 to 9 years in managing contact centers, Customer Life Cycle journey; leading transformation solutions across Customer touch points Responsibilities Understand client digital transformation needs and consult / provide customized solutions. Create compelling transformation pitches to promote value based selling specific to verticals. Respond to RFP/RFIs/RFQs, build proactive proposals with customized transformation solutions. Develop and manage digital offerings across verticals including ENU, Retail, Telecom, Healthcare, etc. Work on the transformation solution commercials, create business for the opportunity and handle client presentations, solution defense and visits. Create crisp and appealing report outs (based on assessment), client presentations, solution defense deck, capabilities deck and marketing content. Create industry specific white papers, point of view and case studies. Perform analytics on operations data to build financially visible solutions. Skills Excellent written and oral communication skills (ability to articulate key messages) Experience with leading contact centre technologies i.e., have extensively worked on technology solutions which includes IVR, Chat/Chatbots, GenAI based solutions, CCaaS, Augmented Reality, RMs, etc. Operations and customer experience data analytics (should be good with excel. Experience in any other analytical tool will be an added advantage). Excellent with MS Office (must have good PowerPoint skills) Key Asks Continuously upgrade in the customer experience transformation space (specific to technologies). Ability to learn fast and deliver against stringent timelines. Readiness to travel as and when required on short notice. Required to work long hours on need-basis (especially during large deals submission). Should be able to work independently with minimum inputs and in ambiguous scenarios. Key Skills: a) 10+ Years with at least 5 years in managing contact centers, customer Life cycle journey b) Worked on technology solutions which includes IVR, Chat/Chatbots, GenAI based solutions, CCaaS, Augmented Reality, CRMs c) Respond to RFP/RFIs/RFQs, build proactive proposals with customized transformation solutions. d) Any Graduate To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Kolkata Search : Job Code # 541 b) For Position in Bangalore Search : Job Code # 542

Hi, We are hiring for the Leading ITES Company for CEM Transformation Profile. Job Description: Atleast 10 to 15 Years with at least 8 to 9 years in managing contact centers, Customer Life Cycle journey; leading transformation solutions across Customer touch points Responsibilities Understand client digital transformation needs and consult / provide customized solutions. Create compelling transformation pitches to promote value based selling specific to verticals. Respond to RFP/RFIs/RFQs, build proactive proposals with customized transformation solutions. Develop and manage digital offerings across verticals including ENU, Retail, Telecom, Healthcare, etc. Work on the transformation solution commercials, create business for the opportunity and handle client presentations, solution defense and visits. Create crisp and appealing report outs (based on assessment), client presentations, solution defense deck, capabilities deck and marketing content. Create industry specific white papers, point of view and case studies. Perform analytics on operations data to build financially visible solutions. Skills Excellent written and oral communication skills (ability to articulate key messages) Experience with leading contact centre technologies i.e., have extensively worked on technology solutions which includes IVR, Chat/Chatbots, GenAI based solutions, CCaaS, Augmented Reality, RMs, etc. Operations and customer experience data analytics (should be good with excel. Experience in any other analytical tool will be an added advantage). Excellent with MS Office (must have good PowerPoint skills) Key Asks Continuously upgrade in the customer experience transformation space (specific to technologies). Ability to learn fast and deliver against stringent timelines. Readiness to travel as and when required on short notice. Required to work long hours on need-basis (especially during large deals submission). Should be able to work independently with minimum inputs and in ambiguous scenarios. Key Skills: a) 10+ Years with at least 5 years in managing contact centers, customer Life cycle journey b) Worked on technology solutions which includes IVR, Chat/Chatbots, GenAI based solutions, CCaaS, Augmented Reality, CRMs c) Respond to RFP/RFIs/RFQs, build proactive proposals with customized transformation solutions. d) Any Graduate To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 539