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AWS Data Lead Role Highlights<ul><li>Lead and mentor a data engineering team while being hands-on with design &amp; development</li><li>Build and optimize data pipelines, data lakes, and data warehouse solutions on AWS</li><li>Collaborate with cross-functional teams to deliver high-impact data solutions</li><li>Balance leadership responsibilities with strong individual contribution</li></ul> Key Skills<ul><li>AWS Data Services (Redshift, Glue, EMR, S3, Lambda, Kinesis, Athena)</li><li>Strong in Python/SQL/Spark (PySpark)</li><li>Data modeling, pipeline design &amp; performance optimization</li><li>Team handling + stakeholder management experience</li></ul> Experience - 8+ Years Share your updated resume now.

Xebia 

Data Engineer

Data Scientist AssociateWe offer an exciting opportunity to advance your career in data science within a dynamic team environment.As a Data Scientist Associate in the Data Analytics team, you will collaborate with stakeholders to understand business needs and deliver efficient solutions. You will work closely with product and tech teams to drive impactful data strategies.Job Responsibilities:<ul><li>Interact with stakeholders to understand business needs and produce efficient solutions.</li><li>Write SQL codes in Snowflake and Teradata, develop Python code, and create Tableau dashboards.</li><li>Participate in migration activities from On-Prem to Cloud.</li><li>Perform data validations and reconciliations.</li><li>Conduct trainings and office hours.</li><li>Identify growth areas and communicate recommendations to leadership.</li><li>Collaborate with cross-functional teams to deliver actionable insights.</li><li>Provide regular updates to key stakeholders and senior leaders.</li></ul>Required Qualifications, Capabilities, and Skills:<ul><li>Bachelor’s/Master's Degree in a quantitative discipline with 4+ years of experience in data transformation and visualization.</li><li>Hands-on experience with SQL, Python, Tableau, Alteryx, and Snowflake.</li><li>Strong understanding of IT processes and databases.</li><li>Ability to work directly with stakeholders and contribute to building controls reporting suite.</li><li>Demonstrated ability to implement creative solutions to business problems.</li><li>Superior judgment to mitigate risk and foster an environment where risk/control issues are escalated.</li></ul>Preferred Qualifications, Capabilities, and Skills:<ul><li>Knowledge of Service Now development</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Data Scientist

Manager, Vx Data Product EngineeringGlobal Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions.  With colleagues across the globe, Commercial Analytics team's rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, digital analytics, finance, market research, and consulting. As a team, we collaborate to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization.The Manager, Vx Data Product Engineering will own and manage key Data Products essential to the success of Vaccines Data Strategy, including<ul><li>Business Account Construct (BAC)</li><li>CORE Data Assets (e.g. Sales/Shipments, Contracting, Pharmacy, Claims, etc.)</li><li>Vx Foundational Models (e.g. APS, Pub/Pvt Split, Mfr Loyalty, Central Purchasing, Abrsyvo Split)</li><li>Vx Incentive Compensation</li></ul>This role will partner closely with key stakeholders across Data Strategy &amp; Management (DSM), Performance Analytics &amp; Insights (PAI), Digital, Master Data Management and third-party vendors to propel U.S. Vaccines past all competition by pioneering unrivaled data, analytics and AI that boldly redefine best-in-class and relentlessly advance adoption of and access to life-saving vaccines.  The ideal candidate brings a strong consultative mindset, commercial analytics domain expertise, and the ability to influence and drive innovation through agile, data-driven practices.Primary:<ul><li>Vx Commercial Data Ecosystem: Engineer and maintain portions of the U.S. Commercial Vx data asset ecosystem to ensure data operations are maintained with data quality, data integrity, and data availability supporting 500+ U.S. Vx commercial data users.</li><li>Vx Foundational Capabilities: Maintain and proactively identify opportunities to enhance existing Vx specific foundational capabilities (e.g. APS model, RSV split model, Public/Private split model, Central Purchasing model, and Manufacturer Loyalty model)</li><li>Performance: Enable U.S. Commercial Vx performance reporting and Sales Force Incentive Compensation programs using high quality Vx specific business data assets.</li><li>Customer: Manage U.S. Commercial Vx customer backbone or Business Account Construct (BAC) to ensure customer data is uniformly defined to ensure consistency across the entire commercial organization from HQ analytics to sales pull through.</li></ul>Secondary:<ul><li>Partnership: Partner closely with CMO ISE, CMO Data Science, Vx OE, and Digital teams to identify new Vx specific business data assets to support the short- and long-term strategic priorities of U.S. Vaccines.</li><li>Innovation: Pioneer new capabilities using Gen AI and other advancements in the AI space to enable lightspeed decision making across the U.S. Commercial Vx BU.</li></ul>Required:<ul><li>BA required, MS preferred, relevant fields include but are not necessarily limited to operations research, data science, statistics or computer programming</li><li>4+ years (BA) or 2+ years (MS) of experience in data strategy, data management and/or commercial analytics, ideally in the biopharma or healthcare industry</li><li>Deep understanding of key data types/sources used for vaccines commercial analytics</li><li>Robust knowledge of core data integration and data model design approaches</li><li>Proven experience building analytic data engineering pipelines</li><li>Strong analytical and communication skills with a demonstrated ability to translate business needs and analytical approaches into data asset design</li><li>Key skills</li><li>Proficient in data engineering code (SQL, Python, scripting, etc.)</li><li>File storage (S3)</li><li>GitHub for code management</li><li>Organization, Communication, Collaboration</li><li>Documentation</li><li>Ability to train | teach others</li></ul>Preferred<ul><li>Experience building scalable data product solutions spanning multiple brands, therapeutic areas and business units, leveraging synergies to maximize efficiency</li><li>Experience in partnering with Digital/IT functions to implement robust, production-level data products</li><li>Experience with Agile methodologies and data product management frameworks</li><li>Experience working with third-party data vendors in staff augmentation and/or project-based models</li></ul><ul><li>Key skills</li><li>Vx Business Knowledge</li><li>Deep understanding of commercial secondary analytics</li><li>Gen AI (e.g. LLMs)</li><li>Strategic Mindset</li></ul>   Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Marketing and Market Research<h4>Experience Level</h4>Mid Level

Pfizer Ltd

Data Annotation Engineer

Technical Business Analyst Mandatory Skills: SQL, Data Analysis, Business AnalysisExperience: 7–15 Years hare your resume only if you fall in experience range and an early joiner.

Coforge

Technical Analyst

Senior Analyst, Workforce IntelligenceDate Posted:2025-04-14Country:IndiaLocation:1st Flr, Wing B, North Gate Phase-II, Modern Asset, Sy.No.2/2, Venkatala Village, Yelahanka Hobli, Bangalore – 560064, KarnatakaPosition Role Type:UnspecifiedRTX is looking for a Senior Analyst, Workforce Intelligence to join the Workforce Intelligence (WFI) team. WFI is chartered with delivering data-driven, integrated solutions that drive action to support our greatest asset: our people. You will work and collaborate with a team of diverse experts and build solutions that transform RTX, HR and its services. The Senior Analyst, Workforce Intelligence will be responsible for at least the following:<ul><li>Conduct recurring and ad hoc data analysis using workforce data &amp; report packages that identify, interpret, and communicate (graphically, quantitatively, and qualitatively) key trends and insights about the workforce in clean and concise deliverables</li><li>Recurring deliverables may include but are not limited to business reviews, other reports, and metric packages for senior leaders</li><li>Examples of ad hoc deliverables include examining workforce attributes, organization structures, functional and/or process metrics</li><li>Prepare supporting material and documentation for deliverables (inclusive of data and other reference sheets when creating a final package in PPT)</li><li>Develop, maintain, and advance existing workforce dashboards using Microsoft Power BI</li><li>Collaborate with stakeholders to develop and scale workforce dashboards for use across the enterprise</li><li>Participate in the peer review process by preparing and having deliverables reviewed; may provide peer review to others as needed where qualified</li><li>Support colleagues as needed, including ad hoc analysis, training and consultation to other partners</li><li>Other job-related duties as assigned </li></ul>Required Skills, Knowledge and Experience:<ul><li>4 to 6 years directly related experience with relevant Bachelors’ degree</li><li>Relevant experience using analytic, business intelligence, and/or data mining tools such as Alteryx, Power BI, and Qlik (role will heavily utilize Alteryx, Power BI) to manipulate, prepare, and visualize data</li><li>Ability to work in a fast-paced environment, collaborate across multiple time zones, effectively manage multiple simultaneous deliverables, and meet tight deadlines</li><li>Proven ability to synthesize complex information in a short timeframe</li><li>Moderate to advanced knowledge of Microsoft Excel (template &amp; forecast generation &amp; charts)</li><li>Moderate to advanced knowledge of Microsoft PowerPoint (slide master, branding, desktop publishing, object/shape manipulation and restraint)</li><li>Moderate to advanced knowledge of algebraic and statistical methods and concepts</li><li>Discretion and good judgement in preparing highly sensitive data and analysis, inclusive of preparing executive-ready material </li></ul>Desired Skills, Knowledge and Experience:<ul><li>Interest in research and a natural intellectual curiosity</li><li>Experience in human resources, talent acquisition, workforce planning, business analysis, industry research, management consulting, strategic planning, and/or quantitative analysis </li></ul>Security Clearance &amp; Other Requirements:<ul><li>This role will be primarily virtual</li><li>This role supports HR and business leaders primarily residing in the United States </li></ul>Required Education (including degree):<ul><li>Bachelor’s degree (relevant degrees may include Human Resources, Business, Finance, I-O Psychology, Mathematics),</li></ul>RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.   Privacy Policy and Terms:Click on this <a href="http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice" rel="noopener noreferrer" target="_blank">link</a> to read the Policy and Terms<h4>Experience Level</h4>Senior Level

Rtx India Private Limited

Human Resources Specialist

Associate Lead Data Scientist - AI/ML JobYASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI/ML Technical Lead We are seeking a highly motivated and experienced Technical Lead having experience to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Experience: 10–12 Years Job Type: Full-time Responsibilities:<ul><li>End-to-end delivery ownership of ML and GenAI use cases.</li><li>Architect RAG pipelines and build enterprise-scale GenAI accelerators.</li><li>Collaborate with architects and presales teams.</li><li>Ensure code modularity, testability, and governance.</li><li>Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions.</li><li>Provide guidance and mentorship to junior team members.</li><li>Manage project timelines, resources, and risk assessments.</li><li>Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions.</li><li>Stay updated with advancements in AI/ML technologies and best practices</li></ul> Required Skills:<ul><li>Strong background in AI/ML model development and deployment</li><li>Proficient in Python, R, and other AI-related programming languages.</li><li>Experience managing cross-functional teams in an Agile environment.</li><li>Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.).</li><li>LangChain, LangGraph, embedding techniques, prompt engineering.</li><li>Classical ML: XGBoost, Random Forest, time-series forecasting.</li></ul>  At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li><li>Agile self-determination, trust, transparency, and open collaboration</li><li>All Support needed for the realization of business goals,</li><li>Stable employment with a great atmosphere and ethical corporate culture</li></ul><h4>Experience Level</h4>Mid Level

Yash Technologies Private Limited

Senior Software Automation Engineer

Solution Analyst IIIJoin our dynamic team to revolutionize how technology intersects with business. Your analytical skills and tech-savviness will be pivotal in creating impactful solutions.As a Solutions Analyst III in Consumer and Community Banking, you will aid in bridging the gap between product owners, business, operations, and software developers by leveraging your technical fluency and strong analytical reasoning skills. Your responsibilities will include eliciting and documenting business and data flow requirements, translating them into well-structured and technically feasible solutions. Your adaptability and ability to lead through change will enable you to navigate complex situations and manage dependencies effectively. With a strong foundation in data analytics and technical solutions, you will contribute to the development of innovative architecture designs and data-driven insights that guide business decisions. Your excellent communication skills, both verbal and written, will ensure clear and concise information exchange with diverse stakeholder audiences, fostering collaboration and alignment across departments.Job responsibilities<ul><li>Elicit and document comprehensive business and data flow requirements by engaging with product owners, business stakeholders, and technical teams to ensure alignment and feasibility</li><li>Translate complex business requirements into well-structured technical solutions, leveraging data analytics and technical knowledge to optimize system performance and scalability</li><li>Conduct in-depth data analysis and interpretation to identify trends, gaps, and opportunities, providing actionable insights that support decision-making and key business initiatives</li><li>Collaborate with cross-functional teams to develop and maintain architecture designs, policies, standards, and governance processes that align technology with business strategy</li><li>Continuously enhance technical knowledge and stay current with industry trends, ensuring the application of best practices and innovative solutions to address evolving business needs </li></ul>Required qualifications, capabilities, and skills<ul><li>3+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field</li><li>Demonstrated proficiency in data analytics, including experience with data extraction, modeling, and interpretation to support strategic decision-making</li><li>Advanced data visualization capabilities, with hands-on experience in implementing and managing BI dashboards</li><li>Strong technical writing skills, with a proven track record of translating complex information into clear and concise documentation for diverse stakeholder audiences</li><li>Advanced knowledge of data fluency, including experience in handling large, diverse data sets and generating insights to drive business objectives</li></ul>   <h4>Experience Level</h4>Senior Level

Solution Analyst

S&C Global Network - AI - Supply Chain Analytics - ConsultantEntity: - Accenture Strategy &amp; ConsultingTeam: - Strategy &amp; Consulting – Global NetworkPractice: - Supply Chian Analytics  Title: - Ind &amp; Func AI Decision Science ConsultantJob location: - Bangalore/Gurgaon/Hyderabad/ MumbaiExplore an Exciting Career at AccentureDo you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse, and collaborative culture?Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Strategy and ConsultingCandidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve client’s business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives.

Accenture India Private Limited

Aptitude Consultant

Manager – Data VisualizationJob title: Manager – Data Visualization<ul><li>Location: Hyderabad</li></ul>About the jobSanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability &amp; interoperability and thus accelerate impact on global health.The Global M&amp;S Services acts as a cornerstone to this effort. Our team is responsible for delivering and supporting Global M&amp;S teams in the area of regulatory compliance, maintenance of product licenses and technical writing of CMC documents. The team members of the global M&amp;S Services Hub will act as partners in carrying out tasks and fulfilling responsibilities to support global quality activities with a focus on technical writing.Main responsibilities:<ul><li>Design and Develop Advanced Reports: Lead the design and development of advanced Power BI reports and dashboards</li><li>Data Modelling and DAX Calculations: Provide guidance on data modelling and Data Analysis Expressions (DAX) calculations</li><li>Troubleshooting and Optimization: Troubleshoot and optimize Power BI solutions for performance and usability</li><li>Keep abreast of industry trends and best practices in Power BI and business intelligence</li><li>Mentor and coach junior developers to enhance their skills and knowledge</li></ul>About you:<ul><li>Experience: Experience working with BI Tools.</li><li>Soft skills &amp; Technical skills: Leadership and team management skills. Excellent problem-solving and decision-making abilities. Strong communication and interpersonal skills. Ability to translate business requirements into technical solutions. Project management skills and ability to handle multiple priorities. Certification in PBI (PL-300: Microsoft Power BI Data Analyst) equivalent or higher. Extensive experience with Power BI, DAX Studio, SQL, tabular editor including report and dashboard creation, data modelling, and DAX. Strong analytical skills to interpret complex data and provide actionable insights. Data Modelling and DAX Calculations: Provide guidance on data modelling and Data Analysis Expressions (DAX) calculations. Familiarity with SQL, data warehousing, and other business intelligence tools. Proven leadership skills to guide and mentor junior team members.</li><li>Education: Engineering/B.Tech/M.Tech Degree</li><li>Languages: Verbal and written fluency in English</li></ul>Why choose us?<ul><li>Bring the miracles of science to life alongside a supportive, future-focused team.</li><li>Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.</li><li>Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.</li><li>Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave.</li><li>Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. </li></ul><h4>Pursue progress, discover extraordinary</h4>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.<h4>Pursue progress, discover extraordinary</h4>Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Watch our <a href="https://www.youtube.com/watch?v=SkpDBZ-CJKw&amp;t=67s" rel="noopener noreferrer" target="_blank">ALL IN video</a> and check out our Diversity Equity and Inclusion actions at <a href="https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness" rel="noopener noreferrer" target="_blank">sanofi.com</a>!<h4>Experience Level</h4>Mid Level

Sanofi India Ltd

Data Analyst

Data Quality Analyst<h4>Job Summary</h4>You will be part of Enterprise Data &amp; Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets. Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions. The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer successary<h4>Job Requirements</h4><h4>Long Description</h4><ul><li>Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives</li><li>Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data</li><li>Collaborate with key stakeholders to define KPI and build data metrics to measure KPI’s</li><li>Partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues</li><li>Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights</li></ul>Job Requirements<ul><li>Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.</li><li>Demonstrated ability to have completed multiple, complex technical projects</li><li>Data modelling experience in Enterprise Data Warehouse, DataMart and ETL tools like IICS, Snowflake(Snowtasks)</li><li>Hands-on experience in SQL, XML, SSL, RESTful APIs, and other related standards.</li><li>Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production.</li><li>Prefer having working knowledge in any reporting tools like PBI (DAX, security, model creation), Tableau .</li><li>Experience with various data systems like Oracle Data Warehouse, Snowflake.</li><li>Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure</li><li>Strong written and verbal communication skills </li><li>Excellent problem solving and troubleshooting skills  </li></ul><h4>Education</h4>A minimum of 3-5 years of experience with Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required<h4>Experience Level</h4>Mid Level

NetApp India Pvt Ltd

Senior Data ScientistSapiens is on the lookout for a Senior Data Scientist to become a key player in our Bangalore team. If you're a seasoned Data Scientist pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit. Location: Bangalore Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity.This position will be part of Sapiens’ Digital (Data Suite) division, for more information about it, click here: <a href="https://sapiens.com/solutions/digitalsuite-customer-experience-and-engagement-software-for-insurers/">https://sapiens.com/solutions/digitalsuite-customer-experience-and-engagement-software-for-insurers/</a> We are looking for an enthusiastic Senior 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 you’ll do: Data Collection &amp; Preprocessing<ul><li>Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency.</li><li>Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data.</li></ul>Model Development &amp; Evaluation<ul><li>Building predictive models to enhance accuracy.</li><li>Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms.</li></ul>Reporting &amp; Visualization<ul><li>Create clear and informative data visualizations and reports to communicate insights to business stakeholders.</li><li>Tracking key metrics and performance indicators related to business objectives.</li></ul>Cross-functional Collaboration<ul><li>Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions.</li><li>Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives.</li></ul>Research &amp; Learning<ul><li>Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry.</li><li>Participate in ongoing training and development programs to enhance technical skills and industry knowledge.</li></ul> What to Have for this position.Must have Skills. <ul><li>Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Master’s degree is a plus.</li><li>Experience : 4+ years of experience in data science or analytics</li><li>Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required.</li></ul><ul><li>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.</li><li>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.</li><li>Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis.</li></ul><ul><li>Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn.</li><li>Data Manipulation: Basic skills in SQL for querying and extracting data from databases.</li><li>Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics.</li></ul>Required Soft Skills: <ul><li>Curiosity &amp; Willingness to Learn: Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain.</li><li>Problem-Solving Skills: Ability to approach challenges analytically and think critically about data and project requirements.</li><li>Attention to Detail: Keen eye for detail in data handling and model development to ensure high-quality outcomes.</li><li>Communication Skills: Clear and concise communication skills, with the ability to present findings and insights effectively.</li></ul>Team Collaboration: Willingness to work collaboratively within a team, receiving and applying feedback from senior team members.



 



About SapiensSapiens is a global leader in the insurance industry, delivering its award-winning, cloud-based SaaS insurance platform to over 600 customers in more than 30 countries. Sapiens’ platform offers pre-integrated, low-code capabilities to accelerate customers’ digital transformation. With more than 40 years of industry expertise, Sapiens has a highly professional team of over 5,000 employees globally.For More information visit us on <a href="http://www.sapiens.com/">www.sapiens.com</a>. Sapiens is an equal opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds. Disclaimer: Sapiens India does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens . Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Sapiens shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. In the event that you come across any fraudulent activities in the name of Sapiens , please feel free report the incident at sapiens to <a href="mailto:sharedservices@sapiens.com">sharedservices@sapiens.com</a>.<h4>Experience Level</h4>Senior Level

Sapiens

Sr. Analyst, Global Data ManagementRelocation Assistance Offered Within Country Job Number #168601 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Analyst - Global Data Management   Job Purpose : Global Data Management as a function has the objective to achieve one version of data in core business systems and applications, enabling correct transactional processes and analytics, resulting in use of the information as the asset valued for the Company. Data in the scope of the function include reference data, master data, content, analytic data, social data, big data, their definitions, governance processes, metrics, lifecycle and technology. Scope of the data management depends on the current Company’s strategy and what is assessed and considered as a key priority to achieve the desired business outcome.     Purpose &amp; Accountabilities : The Global Data Management (GDM) Analyst position supports business functions by providing master data expertise and managing the master data governance and maintenance processes. Providing support and liaise with the business and the Global GDM Team with related projects and issue resolution of queries. Identify and implement improvements resulting in increased operational and business efficiency.     Key Responsibilities: <ul><li>Validate and ensure that all master data is accurate, complete and fully approved during the life cycle, in accordance to external and internal standards. Release/Reject requests and provide feedback on decision</li><li>Monitor data processes to ensure compliance with process cycle times and related performance measures and KPIs,</li><li>Monitors performance indicators/metrics for data within their span of responsibility and regularly reports status to supervisor </li><li>Analyze data in the systems to support business functions when requested</li><li>Support in issues resolution</li><li>Prepares and generates data quality reports and analysis</li><li>Plans and executes data cleansing initiatives</li><li>Participates in related projects</li><li>Ensures internal control and SOX rules are followed along GDM governance process</li><li>Develops and maintains Data Management related documentation (procedures, policies, end-user manuals, training materials, etc),</li><li>Identifies improvement to Data Management governance process, tools or systems and works on their implementation when approved,</li><li>Participates in audits, cooperates with internal and external auditors providing them required information,</li><li>Analyzes data in the systems as a part of gap-fit analysis and/or Data Management standardization projects, identifies use of the certain data elements, attributes fields, proposes standardized values and works on their implementation.</li></ul>      Key Relationships: <ul><li>End-users of GDM solutions from subsidiaries within the functional scope of responsibility</li><li>Business functions representatives from all levels of organization being involved directly in GDM governance processes or being impacted by GDM</li><li>Global GDM Domain Leaders and other regional GDM team members</li><li>Other CBS Centers</li><li>Project Teams</li><li>Global IT Organization</li><li>Other stakeholders required to solve master data issue or master data related conflict</li></ul>      Experience and Education: <ul><li>Bachelor degree minimum</li><li>Experience with Master Data Tool / Technology</li><li>Working knowledge of Machine Learning/Automation tools</li></ul><ul><li>SAP or other ERP tool knowledge</li><li>2 plus years of work experience</li><li>Proficient in Reporting and/or Budgeting</li></ul>     Good to Have: <ul><li>Working knowledge of programming languages SQL, Google App scripts.</li><li>Experience with third-party data i.e., syndicated market data, Point of Sales, etc.</li><li>Working knowledge of consumer packaged goods industry</li><li>Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)</li><li>Willingness and ability to experiment with new tools and techniques</li><li>Good facilitation and project management skills</li><li>Ability to maintain personal composure and tactfully handle difficult situations.</li></ul>  Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdaxk_eF4utznQoVHlxmL9jVFJbOkM4Oe5CAdKOg-h9EPdLfg/viewform" target="_blank">request form</a> should you require accommodation. #LI-Hybrid<h4>Experience Level</h4>Senior Level

Colgate - Palmolive India Ltd

Data Analyst Intern

ML Tech Lead, Sensor Intelligence<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.</li><li>8 years of experience in Software Development.</li><li>5 years of experience testing, and launching software products.</li><li>5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li><li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Experience in machine learning, deep learning, and AI development, with a proven track record of building and deploying production-level models and ML-Infra.</li><li>Ability to work effectively with teams, including Product Managers, ML Software Engineers, and other stakeholders, to drive AI adoption and integration.</li><li>Ability to build relationships globally, ensuring effective collaboration between local and US-based teams to deliver AI-driven solutions.</li><li>Ability to work with distributed teams across multiple time zones, fostering excellent communication, collaboration, and a sense of shared purpose even in a remote work environment.</li></ul><h4>About the job</h4>Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. <h4>Responsibilities</h4><ul><li>Do research on sensor technologies and evaluate large-scale sensor data for training sensor foundation models.</li><li>Build new sensor foundation models and write and test product or system development code.</li><li>Collaborate with researchers and translate research findings from sensor data into practical applications for Fitness and health.</li><li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.</li><li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Data Scientist Senior Associate - Fraud AnalyticsWe know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.  As a Data Scientist Senior Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.  Job spec requirements:The Fraud &amp; Financial crime Product function leads the 1st line of defense business for fraud &amp; financial crime risk, including ownership of the fraud &amp; financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud &amp; financial crime risk whilst ensuring 1st class client experience – you will be supporting the product from an Analytics perspective. Job responsibilities:<ul><li>Develop and implement fraud strategies/rules to effectively detect fraudulent activities.</li><li>Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank.</li><li>Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact.</li><li>Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective.</li><li>Ensure all compliance, audit, and control frameworks are followed – using data to confirm these processes adhere to regulation standards.</li><li>Share best practices across JP Morgan Chase &amp; Co.</li><li>Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners</li></ul> Required qualifications, capabilities and skills<ul><li>Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc</li><li>Knowledge of Fraud / Financial crime processes and products</li><li>Team development and management experience required.</li></ul> #ICBCareer JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

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