524 Predictive Analytics Jobs - Page 17

What this role entail Understand and translate statistics and analytics to address client business problems. Apply Statistical forecasting algorithms to forecast client business needs for short term and long-term horizon. Explore Machine learning and Deep learning techniques to improve statistical Forecasting accuracy. Create business narrative by using storytelling and Visualization techniques and to present analytical insights to clients. Structure business problems and design solutions to meet client needs. Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams. Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights. What lands you in this role At least 3 years hands-on experience as a data scientist working on R, SQL, Python Must have exposure to developing predictive analytics and machine learning algorithms for business applications Strong forecasting and Deep Learning experience will be a plus Hands-on experience in relevant tools like SQL, R, Python, Tableau, etc. B Tech/ BE or equivalent degree in Data Science, Statistics, Computer Science, or similar

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AIProcess by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for? Data Analytics - with a specialization in the marketing domain Ability & experience working with paid media, CRM, Digital Advertising Analytics Website clickstream data and GA 4 Knowledge Highly experienced with SQL, Python and Big Query for exploring large datasets. Data Storytelling Familiarity with Tableau and Looker is a plus Problem-solving skills Ability to establish strong client relationship Ability to manage multiple stakeholders Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

Responsibilities: Collaborate with business stakeholders to understand data requirements and objectives. Analyse complex data sets to extract valuable insights and trends. Interpret data to identify opportunities for process improvements and business growth. Develop reports, dashboards, and visualisations to communicate findings effectively. Conduct data quality assessments and ensure data integrity across systems. Support data-driven decision-making by providing actionable recommendations. Work with cross-functional teams to implement data solutions that meet business needs. Stay informed on industry trends and best practices in data analysis and business intelligence Qualifications: Bachelor's degree in Business Administration, Statistics, Computer Science, or related field. Proven experience as a Business Analyst or Data Analyst in a corporate setting. Proficiency in data analysis tools (e.g., SQL, Excel, Amazon QuickSight) and database querying. Strong analytical skills with the ability to translate complex data into actionable insights. Excellent communication and presentation skills. Experience with data visualization tools and techniques. Knowledge of business processes and operations. Preferred Skills: Familiarity with ETL processes and data warehousing concepts. Experience with predictive analytics and statistical modelling. Certification in business analysis or related field is a plus. Knowledge of Agile methodologies for project management.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. Associate Consultant, Customer Success, BHCA: Customer Success – Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What You’ll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment) Problem solving and Client engagement Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on team’s work and ensuring high quality client deliverables Team management Export best practices and learnings to broader team and mentor Associates on teams What You’ll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

We are recruiting an expert application support engineer to scale up the global support capability for our data nad analytics platform used by our research and trading teams. The candidate will work closely with our data engineers, data scientists, external data vendors, and various trading teams to rapidly resolve data and analytics application issues related to data quality, data integration, model pipelines, and analtics applications. Knowledge, Skills and Abilities - Python, SQL - Familiarity with data engineering - Experience with AWS data and analytics services or similar cloud vendor services - Strong problem solving and interpersonal skills - Ablity to organise and prioritise work effectively Key Responsibilities - Incident and user management for data and analytics platform - Development and maintenance of Data Quliaty framework (including anomaly detection) - Implemenation of Python & SQL hotfixes and working with data engineers on more complex issues - Diagnostic tools implementation and automation of operational processes Key Relationships - Work closely with data scientists, data engineers, and platform engineers in a highly commercial environment - Support research analysts and traders with issue resolution Competencies - Excellent problem solving skills - Ability to communicate effectively with a diverse set of customers across business lines and technology - Report to Head of DSE Engineering Mumbai, who reports to Global Head of Cloud and Data Engineering

About the Role Product Designers at Ethos play an instrumental role in shaping every aspect of the product. We work across the organization to develop novel solutions to large, interesting challenges, and build world class products that create real value for real people. As a Senior Product Designer, you will report to the Head of Design and drive the product development cycle with your cross-functional peers. You will experiment, invent, and occasionally fail but most importantly, you will learn and advocate tirelessly for the customers you are creating products for. Duties and Responsibilities: Architect UI/UX for new products Test and iterate on existing products and features Partner with product managers and developers to drive the product development process Communicate the why of design decisions effectively to a variety of stakeholders Incorporate customer, product and business goals into design solutions Share honest, thoughtful feedback with teammates Qualifications and Skills: A strong portfolio that demonstrates your process and visual quality across devices and mediums A minimum of 5 years of in-house product design experience Mastery of visual design, interaction design, typography, and hierarchy Ability to reduce complex problems down to flexible and intuitive patterns Experience leading projects and process spanning insights, ideation and validation through to design implementation Excellent communication (verbal, written, visual) skills The ability to challenge the assumptions of oneself as well of those around you #LI-Hybrid #LI-DG1 Don t meet every single requirement? If you re excited about this role but your past experience doesn t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

SAC Analytics and Planning in Bangalore, India, India SAC Analytics and Planning Location: Bangalore, India, India Date Created: Jun 3, 2025 Requisition ID: 5284 Description SAP Analytics Cloud (SAC) Data Planning & Analytics Resource Requirement We are looking for an experienced SAP Analytics Cloud (SAC) Data Planning & Analytics professional along with Group Reporting experience to support our business intelligence and planning initiatives. The ideal candidate will have strong expertise in SAC, data modeling, and analytics to drive data-driven decision-making within the organization. Key Responsibilities: Design and develop SAC Planning Models, integrating data from SAP and non-SAP sources. Configure data actions, allocations, and version management to support business planning processes. Build interactive dashboards and stories for data visualization and analysis. Work closely with business stakeholders to understand requirements and translate them into SAC planning solutions. Optimize data models and workflows to improve performance and usability. Integrate SAC with SAP BW, S/4HANA, and other data sources for real-time analytics. Provide user training and support to ensure effective utilization of SAC solutions. Required Skills & Experience: 10+ years of experience in SAP Analytics Cloud (Planning & Analytics). Hands-on experience in data modeling, scripting, and planning functions in SAC. Strong understanding of SAP BW, S/4HANA, or other backend systems for data integration. Experience in Advanced Formulas, Data Actions, and Predictive Analytics in SAC. Knowledge of SAP BPC (Business Planning & Consolidation) is a plus. Excellent problem-solving, communication, and stakeholder management skills.

Responsibilities Key Deliverables Reduction in R/1000 for all MIS. Joint Investigation /Technical support for Critical field complaints. Track Warranty indicators trend and actions for AD Models. Warranty parts analysis and disposals. Root cause analysis and action planning for field issues. Analyze and take actions on inputs from Quality surveys like JDP,CAPS,MQRS. Design changes related to Driveline systems. Horizontal deployments, Cross learnings in all plants. Concern based supplier audits. Support Manufacturing, Rand D,CDMM and IMCR team for design related issues Preferred Industries Manufacturing Education Qualification Bachelor of Engineering in Mechanical; Bachelor of Engineering in Production; Diploma in Engineering General Experience 5 to10 Critical Experience System Generated Core Skills 2D CAD Drawing Process Knowledge - Manufacturing Analytical Thinking Process Knowledge - MPDS Communication Skills Problem Solving Tools Techniques Design Failure Mode and Effects Analysis (DFMEA) Predictive Analytics QC Story Process Knowledge MIS Reporting Quality Management System (QMS) Root Cause Analysis ISO - Quality Management Auditing Engineering Drawings Design Change Request (DCR) Engineering Change Notice (ECN) System Generated Secondary Skills

About the Role Ethos is seeking a detail-oriented and highly organized Documentation Specialist to join our team. In this role, you will be responsible for creating, organizing, and maintaining clear and accessible documentation across the Org. Youll work closely with cross-functional teams to ensure that our internal knowledge base (primarily in Notion) is accurate, up-to-date, and easy to navigate. From onboarding guides to process documentation, your work will ensure that the right information is always easy to find and up to date. Roles and Responsibilities: Create and maintain high-quality documentation for internal processes, workflows, systems, and tools. Design, build, and manage Notion pages to serve as a centralized knowledge base for teams. Ensure all documentation is current, version-controlled, and aligned with company standards. Collaborate with subject matter experts to translate complex processes into clear, user-friendly materials. Audit and update existing documentation regularly to reflect process changes or new information. Implement best practices for knowledge management, including taxonomy, tagging, and accessibility. Develop templates and style guides to standardize documentation across the organization. Support onboarding by ensuring new team members have access to up-to-date and relevant documentation. Qualifications and Skills: 2+ years of experience in documentation, knowledge management, or technical writing. Proficiency with Notion or similar knowledge management tools. Excellent written communication and organizational skills. Ability to synthesize and structure information logically and clearly. Experience collaborating across teams and managing input from multiple stakeholders. Comfortable with fast-paced environments and able to manage multiple documentation projects simultaneously. Experience in a startup or fast-paced environment #LI-A1 #LI-Onsite

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; > Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systemsthe ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZSs Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. Associate Consultant, Customer Success, BHCA: Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What Youll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment) Problem solving and Client engagement Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on teams work and ensuring high quality client deliverables Team management Export best practices and learnings to broader team and mentor Associates on teams What Youll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At

Core Characteristics Achievement-oriented Enjoys taking on challenges, even if they might fail. Innovative – Prefers working in unconventional ways or on tasks that require creativity with multivariable inputs and uncertainties. Resource maximizing – Identifies and leverages team resource strengths, while maintaining awareness and pushing for needed growth opportunities. Autonomous/ independent – Enjoys working with little direction. Dynamically detail oriented – Has the awareness of the need and ability to go deep without getting lost, while staying grounded with the bigger picture. Critical thinker – Applies logic, reason, and rationale to a given problem and/ or proposed solution. Dependable – More reliable than spontaneous. Flexible – Ability to manage competing priorities in a fluid environment. Prioritizing – Effective with prioritization, goal setting, and time management. Communicator – Excellent in communications, interpersonally, and in writing. Key Responsibilities: Analyze and interpret complex datasets to uncover valuable insights. Develop and implement Machine Learning (ML) models and algorithms. Collaborate with the team to design and execute data experiments. Utilize cloud platforms for data storage, processing, and analysis. Present findings and insights to both technical and non-technical stakeholders Stay updated on industry trends and advancements in data science, with a focus on healthcare informatics. Analyze complex healthcare data sets to identify trends, patterns, and insights. Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. Identify opportunities for process improvement and efficiency through data analysis. Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s). Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. Qualifications: Degree in computer science, Statistics, Data Science, or a related field. Strong working knowledge of data manipulation and analysis libraries (e.g. Pandas, NumPy, scikit-learn) Familiarity with machine learning (ML) concepts and algorithms. Analyze and interpret complex healthcare datasets to extract valuable insights. Experience with data visualization tools (e.g. Matplotlib, Seaborn, tableau, PowerBI) Basic understanding of databases systems and SQL Experience with cloud platforms (e.g., AWS, Azure or Google Cloud) in a healthcare and biomedical data (ex., clinical and life-sciences) context. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with generative AI tools for innovative data-driven solutions. Excellent problem-solving and analytical skills. Eagerness to learn and adapt to new technologies and methodologies. Must possess strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy. Ability to generate information quickly and manage multiple projects at once. Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness. Experience in building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions Experience with Azure/AWS tools and technology

locationsMumbai - HiranandaniPune - Business Bayposted onPosted 3 Days Ago time left to applyEnd DateJune 30, 2025 (30 days left to apply) job requisition idR_307045 Company: Marsh Description: We are seeking a talented individual to join our Benefit Analytics Team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Principal Engineer - Data Science We will count on you to: Design and implement data analytics products that utilize web-based technologies to solve complex business problems and drive strategic outcomes. Utilize strong conceptual skills to explore the "Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies. Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights. Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesizing disparate datasets for comprehensive insights. Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards. Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows. Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights. Collaborate with cross-functional teams to develop and deploy machine learning models and predictive analytics solutions. Utilize SQL for database management and data manipulation, with a focus on optimizing queries and data retrieval processes. Develop ETL Automation pipelines using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code. Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations. Having knowledge around LLM/RAG/Power BI/Tableau will be preferred What you need to have: Educational Background A Bachelors or Masters degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field is essential. A strong academic foundation will support your analytical and technical skills. Experience 3-5 years of progressive experience in a Data Science or Data Analytics role, demonstrating a solid track record of delivering impactful data-driven insights and solutions. Technical Proficiency : Programming Skills Advanced proficiency in Python is required, with hands-on experience in data engineering and ETL processes. Familiarity with exploratory data analysis (EDA) techniques is essential. API Knowledge Intermediate experience with ChatGPT APIs or similar technologies is a plus, showcasing your ability to integrate AI solutions into data workflows. Business Intelligence Tools A good understanding of BI tools such as Qlik Sense, Power BI, or Tableau is necessary for effective data visualization and reporting. Data Extraction Expertise Proven ability to extract and manipulate data from diverse sources, including web platforms, PDFs, Excel files, and various databases. A broad understanding of analytics methodologies is crucial for transforming raw data into actionable insights. Analytical Mindset Strong analytical and problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively to stakeholders. Adaptability to New Technologies A keen interest in AI and emerging technologies, with a willingness to learn and adapt to new tools and methodologies in the rapidly evolving data landscape. What makes you stand out Degree or Certification in Data Management, Statistics , Analytics and BI tools (Qlik Sense & Tableau) ( would be preferred ) Experience in Healthcare sector, working with Multination clients . Why join our team We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP HANA Technical Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and guidance to your team members while continuously seeking opportunities for improvement in application design and functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HANA Technical Architecture.- Good To Have Skills: Experience with application development frameworks.- Strong understanding of database management and optimization techniques.- Familiarity with cloud computing concepts and deployment strategies.- Experience in integrating applications with various data sources. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP HANA Technical Architecture.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Delivery - Business Insights Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models.Within Operations, our Sales Operations Transformation team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.The Sales AI/BI & Data Science team is responsible for inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Hands on with python programming & understanding of machine learning models. You will have to understand and interpret insights where applied statistics, pattern analysis, forecasting models, predictive analytics or similar methods have been used. What are we looking for Ability to manage multiple workstream and stakeholders. Ability to perform under pressure and agility for quick learning. Ability to establish strong client relationship. Ability to handle disputes. Ability to manage multiple stakeholders and meet deadlines. Strong analytical skills. Working knowledge and experience in building forecasting models. Sales Operations. Microsoft Excel. Sales Reporting & In-depth transformational project experience. Transformation using automation levers and tech of Python, Artificial Intelligence, Machine Learning, Natural Language Processing, and Integration. Good to have exposure to Microsoft Power BI, Power Query and Power Pivot. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. The person would require understanding of the strategic direction set by senior management as it relates to team goals. Manage the end-to-end project lifecycle, from the inception to fruition and ensure the combined forces of tech and function deliver as expected. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. Work with Global teams, specialized teams across the functions to contribute to the project outcomes. May interact with peers and/or management levels at a client and/or within Accenture. Guidance would be provided when determining methods and procedures on new assignments. Decisions made by you will often impact the team in which they reside. Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture. You will be typically creating new solutions, leveraging and where needed adapting to the existing methods and procedures. Your primary upward interaction is with direct supervisor team leads. You will generally interact with peers and / or management level with clients or internal stakeholders. You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments. Qualification Any Graduation

Develop, test and support future-ready data solutions for customers across industry verticals.Develop, test, and support end-to-end batch and near real-time data flows/pipelines.Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Job profile: Senior CMI Manager - Personal Care Insights Hub Function: Personal Care, CMI Work Location: Mumbai HO Role Background: The Personal Care Insights Hub aims to drive strategic insights and operational efficiency to transform Personal Care CMI at Unilever by ensuring we "Stay 3 Steps Ahead. " The role involves leading and coaching two direct reports, liaising with global BG and BU CMI teams across Skin Cleansing, Deodorant & Oral categories to deliver on PC-wide meta-learnings and a more profound understanding of key strategic priorities for PC. This is a key leadership role with Unilever CMI, which is based in Mumbai, India. As a part of the PC Insights HUB, the candidate would have an integral role to enable the growth of the Personal Care business. Responsibilities: The position will liaise with global BG and BU CMI teams across Skin Cleansing, Deodorant & Oral categories. Lead and coach 2 direct reports Work closely with the business to understand pain points, identify knowledge gaps, and then devise solutions/approaches to address the same. The candidate should have a deep understanding of the traditional as well as the new agile Social first tools, equipping them to deliver work with excellence. The candidate should be able to think differently, be willing to experiment, and focus on what counts. The candidate will take the lead to build a deeper understanding of pan PC strategic initiatives, which include meta-analysis on UBS, idea testing, communication (TV & Digital), Instacept & Packs for PC across geographies. This includes not only looking at past results but also going deeper to understand consumer preferences/trends and accordingly guide the business. Able to reach out to people to seek information/past work, communicate the key findings and insight to senior stakeholders and peers both conversationally and in a formal presentation style to drive business impact Key Experience/Skills Requirement: At least 12+ years of experience in Insights & Research1. Experience in stakeholder management. Display a growth mindset - showcase the ability to learn, grow, create impact, and not be afraid of experimenting. Strong strategic rigour with the ability to decipher multiple information sources into a clear, succinct story. Demonstrated ability to engage and collaborate effectively with internal stakeholders, such as BG and BU CMI teams, as well as external agency partners, to achieve project deliverables INTERFACES: The role will have a global scope for the Personal Care business group The job holder will have an interface with the BG and BU PC CMI teams The job holder will also work with other cross-functional teams, ie, strategy, marketing, predictive analytics, etc. , and deliver internal briefs to drive growth

We are seeking a Supply Chain Analytics Specialist to drive data-driven decision-making in supply chain operations. The ideal candidate will have expertise in SQL, and Power BI , along with a strong analytical mindset to optimize supply chain processes and improve operational efficiencies. Key Responsibilities: Design and develop Power BI dashboards to provide real-time insights into supply chain performance, demand forecasting, and inventory management. Well versed with DAX queries and M-queries. Able to utilize SQL where ever it is required. Collaborate with cross-functional teams (procurement, logistics, and finance) to understand business requirements and implement analytics solutions. Perform data modeling, cleansing, and transformation to ensure high data accuracy and quality. Optimize supply chain processes through predictive analytics and trend analysis . Work on automating reporting processes and enabling self-service analytics. Ensure data governance, security, and compliance across all supply chain analytics solutions. Key Requirements: 5-7 years of experience in Supply Chain Analytics or a similar role. Strong expertise in building and managing Azure Data Pipelines . Proficiency in Power BI , including DAX, data modeling, and visualization techniques. Experience working with SQL, Python, or other scripting languages for data manipulation. Understanding of supply chain concepts such as demand planning, procurement, logistics, and inventory management. Strong analytical and problem-solving skills with a data-driven mindset. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with AI/ML models for supply chain forecasting . Familiarity with Azure Data Pipelines, Azure databricks and big data processing. Knowledge of ERP systems (SAP, Oracle, etc.) .

JD for CDP Specialist As a CDP Specialist, you willbe responsible for building, optimizing, and managing a robust customer data ecosystem to support personalized marketing strategies, analytics, and data-driven decision-making. The role demands technical expertise, and hands-on development skills to implement and maintain the CDP infrastructure. Responsibilities: Lead the implementation and configuration of the Customer Data Platform, ensuring proper integration with marketing technologies. Oversee the collection, organization, and maintenance of customer data within the CDP, ensuring it is accurate, complete, and up-to-date. Implement data governance protocols to maintain data quality, consistency, and compliance with regulatory standards. Leverage the CDP to create highly targeted and segmented customer groups based on behaviors, demographics, and past interactions. Collaborate with marketing teams to ensure the effective use of customer segments for email, social, web, and other marketing channels. Use and implement ML models on CDP platform to derive actionable insights from customer data stored in the CDP. Develop predictive analytics models to enhance customer segmentation, improve personalization strategies, and drive dynamic pricing models. Implement recommendations and personalization in marketing campaigns across email, social media, web, and app channels. Leverage powered tools to predict customer behaviors, optimize campaigns, and recommend relevant content or products to customers. Qualifications: Education: Bachelor s degree in Marketing, Data Science, Computer Science, Business Analytics, or a related field. A Masters degree is a plus. Experience: 2-6 years of experience working with Customer Data Platforms, AI/ML-driven tools, and marketing technologies. Technical Skills: Proficiency in CDP platforms such as Adobe Experience Platform, or similar. Strong understanding of AI/ML algorithms, predictive analytics, and ML business models powered. Experience in tools like Python, R, or similar for AI model development.

Skill required: Delivery - Business Insights Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.You will be aligned with our Ops Transformation vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area.The Business Insights team is responsible for inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Hands on with python programming & understanding of machine learning models. You will have to understand and interpret insights where applied statistics, pattern analysis, forecasting models, predictive analytics or similar methods have been used. What are we looking for Working knowledge and experience in building forecasting models Sales Operations Microsoft Excel Sales Reporting & In-depth transformational project experience Transformation using automation levers and tech of Python, Artificial Intelligence, Machine Learning, Natural Language Processing, and Integration Good to have exposure to Microsoft Power BI, Power Query and Power Pivot Ability to manage multiple workstream and stakeholders Ability to perform under pressure and agility for quick learning Ability to establish strong client relationship Ability to handle disputes Ability to manage multiple stakeholders and meet deadlines Strong analytical skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. The person would require understanding of the strategic direction set by senior management as it relates to team goals. Manage the end-to-end project lifecycle, from the inception to fruition and ensure the combined forces of tech and function deliver as expected. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. Work with Global teams, specialized teams across the functions to contribute to the project outcomes. May interact with peers and/or management levels at a client and/or within Accenture. Guidance would be provided when determining methods and procedures on new assignments. Decisions made by you will often impact the team in which they reside. Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture. You will be typically creating new solutions, leveraging and where needed adapting to the existing methods and procedures. Your primary upward interaction is with direct supervisor team leads. You will generally interact with peers and / or management level with clients or internal stakeholders. You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments. Qualification Any Graduation

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Teradata Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will provide ongoing technical support and maintenance for production and development systems and software products. Your typical day will involve addressing technical issues, collaborating with various teams, and ensuring that all configured services operate smoothly across different platforms. You will engage in both remote and onsite support, focusing on hardware and software solutions while adhering to established operating models and processes. Your role will also include troubleshooting at both basic and intermediate levels, ensuring that systems remain operational and efficient. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions for junior team members to enhance their technical skills.- Monitor system performance and proactively identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Teradata Administration.- Strong understanding of database management and optimization techniques.- Experience with troubleshooting and resolving technical issues in a timely manner.- Familiarity with operating system-level support across various platforms.- Ability to implement and maintain software solutions effectively. Additional Information:- The candidate should have minimum 5 years of experience in Teradata Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About Eightfold.ai Eightfold.ai is at the forefront of innovation in the AI-driven HR tech space. Were not just building software; were shaping the future of how organizations find, manage, and empower their talent. Our groundbreaking AI platform is revolutionizing the industry, and were looking for exceptional engineers to join our team and drive the next wave of advancements. About the AI/ML Team Our AI/ML team is the driving force behind Eightfolds cutting-edge solutions. Were a group of passionate experts who thrive on pushing the boundaries of applied machine learning. We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management. What You Will Do Lead and inspire: Mentor and guide a team of talented ML Engineers, fostering a culture of innovation and collaboration. Architect and implement: Design and build scalable, robust, and efficient ML pipelines that power our core products. Innovate and optimize: Develop novel algorithms and continuously improve our existing models for performance, accuracy, and scalability. Solve complex problems: Tackle challenging real-world problems in areas like natural language processing, recommendation systems, and predictive analytics. Stay ahead of the curve: Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and other emerging fields. Design and Development: Implement scalable solutions using LLMs, Fine-tune LLMs for specific NLP tasks, Develop and deploy LLM-powered applications What You Bring Deep expertise: Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale. Technical leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-solving mindset: Ability to analyze complex problems, think critically, and develop innovative solutions. Passion for AI: A genuine enthusiasm for pushing the boundaries of AI and its applications in the real world. Advanced skills: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, etc.), as well as experience with big data technologies (Hadoop, Spark). Strong CS fundamentals and coding languages (Python, C/C++, Hava, Scala, R) GenAI & Large Language Model: Experience in developing and deploying LLM-powered applications, Knowledge of LLM fine-tuning techniques and optimization strategies. Understanding of LLM ethical considerations and biases Nice to Haves MInimum of 6-10+ years of relevant work experience in ML and AI MS or PhD in Computer Science or a related field Publications in top-tier AI conferences Experience with GenAI, LLMs, and Transformers Contributions to open-source ML projects Join Us and Shape the Future of AI If youre a senior AI/ML engineer whos ready to make a real impact, wed love to hear from you. Eightfold.ai offers a dynamic and rewarding environment where youll have the opportunity to work on cutting-edge projects, collaborate with world-class experts, and accelerate your career growth. Join us and help build the future of AI-powered talent intelligence. Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. LI-Hybrid

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP HANA Technical Architecture Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and guidance to your team members while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HANA Technical Architecture.- Strong understanding of database management and optimization techniques.- Experience with application development frameworks and methodologies.- Familiarity with cloud computing concepts and deployment strategies.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in SAP HANA Technical Architecture.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

business analyst in investment banking, commercial banking or asset/investment management. financial instruments, capital markets & banking products.AI/ML concepts, cross-functional teams, Excel, SQL, Power BI, Tableau, stakeholder management.

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. - Grade Specific Responsible for helping the company leverage data, working with the team of data scientists and engineers to provide valuable direction and make informed decisions concerning the product, growth, and engagement Skills (competencies)

Mondel z International is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams