594 Predictive Modeling Jobs - Page 13

Job Summary: We are seeking a skilled Data Scientist with experience in both Python and SAS to join our high-performing analytics team. The ideal candidate will be adept at developing predictive models, analyzing large datasets, and delivering actionable insights using modern data science tools and platforms. Key Responsibilities: Design and develop machine learning and statistical models using Python and SAS. Conduct data exploration, preprocessing, and analysis on structured and unstructured datasets. Use SAS (Base, Advanced, Enterprise Guide, Visual Analytics, or SAS Viya) for reporting, data preparation, and statistical modeling as required. Work with large-scale datasets using Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Translate business requirements into technical solutions in collaboration with cross-functional teams. Build data pipelines and automate workflows for data analysis and model deployment. Present data-driven insights through visualizations using tools such as Seaborn, Plotly, Matplotlib, or SAS VA. Document models, code, and methodologies for reproducibility and auditability. Qualifications: 2-10 years of experience in data science, machine learning, or advanced analytics. Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SAS (Base, Advanced, DI, VA, or Viya). Strong knowledge of SQL and experience working with relational databases. Solid foundation in statistical analysis, hypothesis testing, regression, classification, clustering, etc. Experience in building, evaluating, and deploying predictive models. Excellent communication skills and ability to convey complex findings to non-technical stakeholders. Preferred Qualifications : Experience with big data tools (Spark, Hive, Hadoop). Exposure to MLOps tools (MLflow, Airflow, Docker, etc.). Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of SAS integration with cloud or open-source tools. Experience with NLP, image recognition, or deep learning frameworks. Location- Pan ,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad,Mumbai, Hyderabad Education- Bachelor's degree in Computer Science, Information Technology, or a related field.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

We are looking for a highly skilled and experienced Analyst to join our Data Analytics team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2-5 years of experience in data analysis and analytics, with a strong background in the BFSI industry. Roles and Responsibility Analyze complex data sets to identify trends and patterns that inform business decisions. Develop and maintain databases and data systems to support business intelligence initiatives. Collaborate with cross-functional teams to design and implement data-driven solutions. Provide data-driven insights and recommendations to senior management and stakeholders. Develop and maintain reports and dashboards to track key performance indicators. Stay up-to-date with industry trends and emerging technologies in data analytics. Job Requirements Strong understanding of data analysis and visualization tools such as Excel, SQL, or Tableau. Experience working with large datasets and developing predictive models. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple tasks and deadlines in a fast-paced environment. Strong attention to detail and organizational skills, with the ability to maintain accurate records. Familiarity with regulatory requirements and industry standards in the BFSI sector.

Role: Senior Analyst (Retail Analytics) Exp: 3-8 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

Director - Portfolio Operations Delivery What you will do Let’s do this. Let’s change the world. In this vital role the Director, Portfolio Effectiveness and Optimization Results Delivery within the Customer Data & Analytics team is accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups. This position reports to the Associate Vice President, Portfolio Effectiveness and Optimization and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Portfolio Effectiveness and Optimization team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for PE&O senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs Operational Excellence and DeliveryOversee end-to-end delivery of core data and analytics projects ensuring quality, scalability, and operational efficiency, while promoting standard processes in data governance and analytics methodologies Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in analytics, AI Business Impact & Collaborator ManagementEnsure analytics solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee PE&O budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Master’s degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelor’s degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Managerial experience, directly handling people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Preferred Qualifications: Relevant data science certifications and Bio/Pharmaceutical industry experience 8+ years of innovative Data Science/Advanced Analytics leadership experience Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modelling and other analytics frameworks/techniques with 10+ years of experience delivering complex analytical projects Minimum 5 years of professional experience in Amazon Web ServicesRedShift, S3, Athena, etc. and industry standard Data Warehousing technologiesSnowflake, Spark, Airflow, etc. Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language; ETL using SQL/shell scripting Experience in successfully completing AI/ML based Next Best Action recommendation engine to optimize against desired objective function(s) Expertise in setting up and measuring randomized controlled trials, cohort studies, and matched, case-control studies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Experience in setting up process for data ingestion, Quality Checks etc. Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an analytics-driven culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Partners with business leaders to deliver high-quality predictions that guide strategic decision making Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT and business leaders What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Let’s do this. Let’s change the world. In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies Communicating analysis ideas, progress and results to leadership and business partners What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree ORdata science and/or analytics experience Master’s degree and 4 to 6 years of data science and/or analytics experience OR Bachelor’s degree and 6 to 8 years of data science and/or analytics experience OR Diploma and 10 to 12 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of current developments in sophisticated analytics Biotech / Pharma experience What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com

Job ID: 199716 Required Travel :Minimal Managerial - No Location: :India- Pune (Amdocs Site) Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence Our Consultant role provides services for Amdocs and 3rd party applications, also runs programs, applies functional business standard methodologies to transform business processes, crafts and leads change to restructure and transform organizations and achieves business objectives. What will your job look like You will: Lead and define tuning database parameters and promote the standardization per product cross customers world wide Set business objectives and targets to ensure success. You will answer the call to integrate various functions and business plans within the Amdocs Quality Engineering Americas region. Be a focal point to the sales process by demonstrating experience and business insights to help the customer understand the value that Amdocs provides through its consulting and software solutions. Provide professional mentorship and coaching to project management and development teams, implementation groups as well as customer architects - internal and external Amdocs customers, including partners without database understanding. Build open lines of communication and develop processes and programs, that will encourage a multi-cultural team to achieve unit goals. Drive organizational integrity and assure excellent delivery across all regional engagements by enabling and promoting standard tools and practices used in the organization as well as drive out-of-the-box solutions that include introducing improvements to further build positive efficiency across operations. Craft and review test solutions and scenarios, to be implemented and executed in alignment with the scope settled during test planning, demonstrating knowledge and a broad understanding of the business process & requirements. Support various project aspects such as schedule, budget, risks, work tasks, etc. Lead consulting team, external contractors, Amdocs matrix teams, and/or customer personnel in a matrix manner Drive different engagements and develop their experience. All you need is... Minimum of 5 years of experience in the following: Building on domain expertise and industry leading methodologies to shape long-term development strategy for continued expansion. You'll develop and prioritize a list of recommended improvements to extend the value of the project. Domain and practice expertise - based on the need (e.g., BP, BR, PMO, data analytics) and nature of the role. Proven customer facing experience. Proven track record of meeting time limit and driving work Experience owning an autonomous stream within a large program, and potentially responsible for leading and overseeing resources in a matrix environment (matrix could contain one or more resources) Experience in identifying sales leads and opportunities resulting in revenue growth Experience in tasks related to sales cycles and in sales-related activities (RFPs, RFIs) Bachelor's degree in Science/IT/Computing or equivalent Certification PMP, PMI preferred, Post Graduate optional Why you will love this job: You will be able to use your specific insights to lead business change on a large scale and drive transformation within our organization. You will be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development. You will have the opportunity to work in multinational environment for the global market leader in its field! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave! Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

Job Title: AI/ML Engineer Location: Bangalore (Hybrid) Experience: 3+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Nice-to-Have Skills: Experience with multi-modal AI models (text, image, video). Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI). Familiarity with prompt engineering and fine-tuning strategies . Why Join Us Work on cutting-edge AI projects in an innovative and collaborative environment. Opportunities for career growth and learning in the fast-evolving AI space. Competitive compensation, flexible work options, and great team culture. How to Apply: If you re passionate about AI and eager to build next-gen AI applications, we d love to hear from you!

ABOUT EVERNORTH: Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,we solve the problems others dont, wont or cant. We are always looking upward. And that starts with finding the right talent to help us get there. Data Analyst Digital Data Strategy Career Architecture Title: HIH Data Measurement & Reporting Analyst As a Digital Data Analyst, you will be responsible for interpreting complex data sets, analyzing trends, and generating insights to inform strategic decisions and drive business growth. The ideal candidate will have a strong background in data analysis, proficiency with digital analytics tools, and the ability to communicate findings effectively to diverse stakeholders. They will also spend time researching data lineage and running SQL queries to answer detailed questions. Gather and organize data from various digital sources, including websites, mobile apps, social media platforms, and third-party analytics tools. Perform in-depth analysis of digital data sets to identify trends, patterns, and correlations.Utilize statistical techniques and data visualization tools to present findings in a clear and actionable format.Monitor key performance indicators (KPIs) related to digital marketing campaigns, website traffic, user engagement, and conversion rates. Identify areas of improvement and opportunities for optimization based on data-driven insights.Collaborate with cross-functional teams to develop data-driven strategies and initiatives to enhance digital performance and achieve business objectives. Provide actionable recommendations based on data analysis to drive decision-making at both tactical and strategic levels.Prepare regular reports and dashboards to communicate findings and insights to internal stakeholders, including executives, marketing teams, and product managers. Present analysis results and recommendations in a clear, concise, and visually compelling manner.Ensure the accuracy, completeness, and reliability of digital data by implementing data validation processes and conducting quality assurance checks. Proactively identify and resolve data discrepancies or inconsistencies.Stay updated on industry trends, best practices, and emerging technologies related to digital analytics and data management. Share knowledge and insights with team members to foster a culture of learning and innovation. Qualifications Required Skills Solid understanding of statistical methods, hypothesis testing, and predictive modeling techniques.Excellent analytical skills with the ability to interpret complex data sets and generate actionable insights.Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders effectively.Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.Detail-oriented mindset with a focus on data accuracy and integrity.The ability to work collaboratively in a fast-paced, cross-functional environment and manage multiple priorities simultaneously. Required Experience 1-3 years of experienceProven experience as a digital data analyst or similar role, with a strong track record of leveraging data to drive business outcomes.Hands-on experience with digital analytics platforms (e.g., Google Analytics, Adobe Analytics, etc.) and familiarity with tag management systems. Required Education Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Masters degree preferred. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Analyze Marketing Campaigns: Evaluate the effectiveness of marketing campaigns and demand generation programs in driving leads, customer acquisition, and revenue growth for the business unit. Data Analysis Across Channels: Examine marketing and sales data from various sources including CRM systems, web analytics, social media, email campaigns, search, direct sales, and indirect sales to assess campaign performance, gauge customer engagement, and identify opportunities for optimization and growth. Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions. Storytelling with Data: Go beyond reporting numbers by crafting compelling narratives that help stakeholders quickly grasp insights and take action. Develop intuitive visualizations and presentations that turn complex datasets into clear, persuasive business stories. Trend and Pattern Identification: Dive into large datasets to uncover patterns, trends, and customer segments to refine targeting strategies and personalize marketing efforts effectively. Operational Efficiency: Identify opportunities to streamline operations, promote data-driven decision-making, and support business growth through analytical initiatives. Predictive Analytics: Utilize statistical models and machine learning techniques to forecast customer behavior and anticipate marketing performance outcomes. Dashboard and Report Development: Develop and maintain dashboards, reports, and key performance indicators (KPIs) to measure and communicate the effectiveness of marketing initiatives. Data Accuracy and Consistency: Ensure the accuracy, consistency, and reliability of data collection, processing, and reporting methodologies. Cross-Functional Collaboration: Collaborate closely with marketing, sales, and product teams to align data insights with business objectives and inform strategic planning. Automated Reporting: Create automated reports on a weekly, monthly, and quarterly basis to provide timely insights into marketing performance. Ad Hoc Analysis: Conduct ad hoc data analyses and performance reports as required to address specific business questions or challenges. Advanced Analytics Tools Utilization: Leverage analytics tools such as Adobe Analytics, Tableau, SQL, Python, and Alteryx to extract, analyze, and visualize data effectively What your background should look like: 4+ years in marketing analytics, business intelligence, or a related field 2+ years of experience analyzing sales and marketing data Strong ability to identify business issues, formulate plans to resolve these issues and effectively communicate the results to all levels of the organization Proficiency in data visualization (Tableau or similar visualization tools) along with story telling Proficiency in SQL or Python for data manipulation and analysis. Experience in AWS, R, regression, Machine learning etc. and Knowledge of predictive modeling, machine learning, or AI-driven marketing analytics is a plus Experience with marketing analytics platforms and has worked/understanding on digital marketing data Adobe Analytics, Google Analytics, CRM systems (Salesforce, Hubspot etc.), SEO, SEM, SMM, email and marketing automation tool (Eloqua, Marketo etc.) Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). Location

About Trellance: Trellance is a leading provider of data analytics, business intelligence solutions, professional services, and consulting for credit unions. Founded in 1989, Trellance supports over 1,500 organizations across the United States, helping them uncover actionable insights, improve member experiences, and achieve portfolio growth. Our headquarters is in Tampa, FL. Job Summary: We are seeking a detail-oriented Senior Data Scientist to join our team. The Senior Data Scientist will be responsible for collecting, analyzing, interpreting, and presenting quantitative data to help us deliver exceptional data-driven insights and solutions to our clients. The ideal candidate will have experience in the BFSI industry, strong statistical knowledge, predictive modeling skills, experience with statistical software, and the ability to translate complex data into actionable insights. Key Responsibilities: Machine Learning and Model Optimization Design and implement machine learning models, including supervised and unsupervised algorithms, neural networks, and ensemble methods. Train, validate, and evaluate model performance using appropriate metrics and techniques. Optimize models for scalability, efficiency, and interpretability. Statistical Insights and Communication Interpret statistical findings to provide insights into business performance, market trends, and consumer behavior. Communicate complex statistical concepts and findings to clients in a clear and concise manner. Collaboration and Continuous Improvement Collaborate with cross-functional teams to develop solutions that meet client needs. Stay updated on new statistical methodologies, tools, and technologies. Documentation and Knowledge Management Develop and maintain documentation of statistical methods, analyses, and data sources. Qualifications: Bachelors Degree or Masters degree in Statistics, Mathematics, Data Science, Engineering, or a related field. 3 to 5 years of experience in a statistician, data scientist, or similar role. Good to have experience in the BFSI industry. Experience in statistical analysis , segmentation, hypothesis testing, forecasting, predictive modeling, and machine learning. Serve as a subject matter expert on statistical methodologies and techniques. Good Knowledge of software packages, such as R or Python . Basic knowledge of any visualization tool such as Power BI and Tableau. Experience with machine learning libraries/frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex problems. Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences. Ability to work independently and in a team environment. Good to have experience in deep learning and AI.

Our Purpose Title and Summary Economic Analyst, North America (NAM) Economic Analyst, North America (NAM) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in data analytics and economic research for U.S. and Canada. This individual will report to the VP, Lead Economist for North America at MEI, and will have the following responsibilities: Support client and stakeholder engagements for the Economics Institute, specifically focusing on NAM economic research. Support collaboration with external clients, academic institutions, and industry partners. Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight. Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to economic research; share and leverage to continuously improve quality and productivity. All About You Required: Bachelors degree in Economics (preferred), Statistics, or Mathematics. Experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus economic research. Understanding of statistics and econometric concepts, modeling and forecasting techniques Proficiency in SQL and Hadoop is essential. Expertise in R, Python, or other major statistical packages is essential. Experience with Tableau is strongly preferred. Knowledge of JavaScript for data visualization is a plus. Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods. Willingness to learn additional statistical applications or software as required. Experience in the financial services industry is desirable. Excellent communication and strong writing skills required.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Target s Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As a Senior Data Scientist at Target, you will get an opportunity design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and productionize fulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Target s supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Bachelor s/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields. 3-4+ years of relevant experience in data sciences; experience with supply chain or e-commerce order fulfillment is preferred. Excellent working knowledge of mathematical and statistical concepts , operations research , data structures and algorithms, data analysis, visualizations , and applications of the same in a variety of business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real and mixed integer), and their applications in industry settings Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required. Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Background in handling supply chain data will be preferable but not mandatory. Experience developing, testing, and maintaining large codebases in a collaborative environment. while meeting industry best practices. Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark. Experience deploying solutions with large-scale business impact in commercial setting is a plus. Self-driven and results oriented. Willing to stretch to meet tight timelines. Strong team player with ability to collaborate effectively across geographies/ time zones. Excellent written and verbal communication skills Know More About Us: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About Us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Target s Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work. Position Overview As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and stores solutions. Develop a strong understanding of business and operational processes within Target s Stores. Gain an in-depth understanding of systems and processes influencing stores efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving stroes operating model. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills. Know More About Us Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. About Target Tech: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Target s investments in technology and innovation. We re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests and we do so with a focus on diversity and inclusion, experimentation and continuous learning. About Team A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview Develop a strong understanding of business and operational processes. Analyse large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Follow us on social media https://www.linkedin.com/company/target/ Target Tech- https://tech.target.com/

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Behind one of the world s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We re also the source of the data and analytics behind Target s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About this career Role is about being passionate about data, analysis, metrics development, feature experimentation and its application to improve both business strategies, as well as support to GSCL operations team Develop, model and apply analytical best practices while upskilling and coaching others on new and emerging technologies to raise the bar for performance in analysis by sharing with others (clients, peers, etc.) well documented analytical solutions . Drive a continuous improvement mindset by seeking out new ways to solve problems through formal trainings, peer interactions and industry publications to continually improve technically, implement best practices and analytical acumen Be expert in specific business domain, self-directed and drive execution towards outcomes, understand business inter-dependencies, conduct detailed problem solving, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines Participate in learning forums, or be a buddy to help increase awareness and adoption of current technical topics relevant for analytics competency e.g. Tools (R, Python); exploratory & descriptive techniques ( basic statistics and modelling) Champion participation in internal meetups, hackathons; presents in internal conferences, relevant to analytics competency Contribute the evaluation and design of relevant technical guides and tools to hire great talent by partnering with talent acquisition Participate in Agile ceremonies to keep the team up-to-date on task progress, as needed Develop and analyse data reports/Dashboards/pipelines, do RCA and troubleshooting of issues that arise using exploratory and systemic techniques About you B.E/B.Tech (2-3 years of relevant exp), M.Tech, M.Sc. , MCA (+2 years of relevant exp) Candidates with strong domain knowledge and relevant experience in Supply Chain / Retails analytics would be highly preferred Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc. Advanced SQL experience writing complex queries Hands on experience with analytics toolsHadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies Experience working with Product teams and business leaders to develop product roadmaps and feature development Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations Strong analytical, problem solving, and conceptual skills. Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Intellectually curious, high energy and a strong work ethic Comfort with ambiguity and open-ended problems in support of supply chain operations Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

Target is an iconic brand, a Fortune 50 company, and one of America s leading retailers. Global Supply Chain and Logistics at Target is evolving at an incredible pace. We are constantly reimagining how we get the right product to guests faster, better, and more cost-effectively across 1,900 locations. A role with the Data Science team means building scalable data science products to support the ever-changing supply chain landscape. This involves making smarter, automated, and algorithmic decisions. Evaluating product flow from vendor to distribution center and stores across the first mile, middle mile, and last mile, with a focus on inventory modeling and replenishment, to improve operating efficiencies both within the distribution center and across the network. We are looking for exceptional people who are proactive, creative, independent, innovative, and comfortable working in varying degrees of ambiguity. Are you a creative problem-solver who seeks root causes, simplifies problems, quickly identifies solutions, commits to a plan, and positively influences others to execute itIf so, you will thrive on this dynamic team. About the Role: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Target s Supply Chain, such as identifying optimal inventory quantities and positioning across multiple channels and locations, planning the right mix of inventory investments versus guest experience, digital order fulfillment planning, transportation resource planning, and more. As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale for our supply chain network. You will design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and productionize supply chain solutions. Responsibilities: Develop a strong understanding of business and operational processes within Target s Supply Chain. Gain an in-depth understanding of systems and processes influencing supply chain efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. : Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills. Why Work with Us at Target Work directly on data science problems with the most impact on Target's entire supply chain, forecasting, and merchandising teams. We love open-source! Many of our team members contribute to open-source communities during work hours, and we try to contribute back where we can. We value diversity and inclusion in our teams and believe it s key to creating positive in-store experiences for our guests. We offer flexibility to team members' schedules and work arrangements, enabling them to flourish both inside and outside of work.

The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in data analytics and economic research for U.S. and Canada. This individual will report to the VP, Lead Economist for North America at MEI, and will have the following responsibilities: Support client and stakeholder engagements for the Economics Institute, specifically focusing on NAM economic research. Support collaboration with external clients, academic institutions, and industry partners. Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight. Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to economic research; share and leverage to continuously improve quality and productivity. All About You Required: Bachelors degree in Economics (preferred), Statistics, or Mathematics. Experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus economic research. Understanding of statistics and econometric concepts, modeling and forecasting techniques Proficiency in SQL and Hadoop is essential. Expertise in R, Python, or other major statistical packages is essential. Experience with Tableau is strongly preferred. Knowledge of JavaScript for data visualization is a plus. Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods. Willingness to learn additional statistical applications or software as required. Experience in the financial services industry is desirable. Excellent communication and strong writing skills required.

Job Information Job Opening ID ZR_1852_JOB Date Opened 06/04/2023 Industry Technology Job Type Work Experience 5-8 years Job Title Business Analyst/Consulting City Bangalore Province Karnataka Country India Postal Code 560048 Number of Positions 2 You should have relevant experience of 5+ years in the industry with Consulting experience in Salesforce or any CRM platform . Must have Sales and Service domain experience. Domain experience in Fiber / EV / Tower / 5G is good to have You demonstrate autonomy, rigor, creativity and enjoy teamwork You have a good sense of customer service and good analytical and synthesis skills Should have the ability to demonstrate Empathy, Sharing, Ingenuity and Humility Stakeholder management You will be involved in several stages of the implementation project. Ability to prepare and conduct business workshops with international customers for gathering business requirements Ability to write User Stories, Functional requirements and test cases You will be required to perform prototype solution on the Salesforce platform during the design phase You will be conducting Design workshop with client to validate design options in the Salesforce platform. Ability to convert requirements into technical aspects like data modelling, point and click configuration in Salesforce platform. Key Responsibilities: Being evaluated on capability to understand customer needs, to provide value propositions to address those needs, to analyze and solve poorly defined problems. The role demands principled thinking, well-honed product marketing judgment, > Job Title Business Analyst/Consulting Relevant experience 5+ years in the industry with Consulting experience in Salesforce or any CRM platform. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2452_JOB Date Opened 05/04/2025 Industry IT Services Job Type Work Experience 3-5 years Job Title Ai engineer City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2172_JOB Date Opened 10/04/2024 Industry Technology Job Type Work Experience 4-6 years Job Title Front End Engineer City Bangalore Province Karnataka Country India Postal Code 560029 Number of Positions 4 Skills & Qualifications Bachelor/masters in computer science or relevant fields. 3+ years of relevant experience. Strong sense of ownership. Experience in building and scaling microservices. Strong problem-solving skills, technical troubleshooting and diagnosing. Expected to be a role model for young engineers, have a strong sense of code quality and enforce code quality within the team. Excellent understanding of Debugging performance and optimization techniques. Experience in JavaScript, HTML & CSS, React js Experience in developing any large-scale Experience in cloud technologies. Demonstrated ability to deliver in a fast-paced environment. Good Communication Skills. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2004_JOB Date Opened 18/07/2023 Industry Technology Job Type Work Experience 4-6 years Job Title Data Analyst City Chennai Province Tamil Nadu Country India Postal Code 600034 Number of Positions 2 3 - 6 years of experience performing quantitative analysis in the financial services industry preferred but not required. Skilled "hands-on" user of SAS, R, MATLAB, SQL, and/or other statistically programming language required. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1640_JOB Date Opened 13/12/2022 Industry Technology Job Type Work Experience 8-12 years Job Title Sr Technical Lead City Hyderabad Province Telangana Country India Postal Code 500001 Number of Positions 4 Roles & Responsibilities: Ensure that high quality bio statistical and psychopharmacology support is provided by the Analytics team Ensure that staff implement innovative, rigorous bio statistical methods to meet study objectives Lead RWE (Real World Evidence) large scale analytics (LSA) studies. Run statistical programs in R, R shiny, deploy study packages and generate reliable RWE results in TFLs with minimal supervision. Provide statistical support for design, implementation, running, analysis and dissemination of results for clinical trials Design and analyze clinical research projects Create and execute Statistical Analysis Plans Strong Knowledge in RWE(Real World Evidence) with Bio statistics Background Experience in creating cohort analysis or Meta analysis or Survival analysis or Bayesian Versus Frequentest Approaches to Clinical Trials Experience in implementing generalized mixture models, Bayesian mixer models, Fixed-effects and Random-effects models Knowledge on Statistical Process Control, Stochastic Optimization Knowledgeable in R or Python programming Skills and shiny web app development Knowledge on Cloud platform like AWS Exposure to Healthcare data formats like HL7, OMOP, ODHSI Exposure to RWE, RWA, RWD Experience with data sources like registries, EMR Good communications Skills check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

About PhonePe Group PhonePe is India s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! What to expect from this role We plan to expand our risk strategy team, and we are looking for experienced risk professionals who will work on building risk strategy for our lending business. They will work in a dynamic environment, and with cross-functional teams to help manage risk while continuously supporting the business to grow. They will be expected to work on: Build Risk strategies to manage Fraud and Credit Risk for Lending business Build best in class risk models Be able to clearly communicate results and recommendations to various stakeholders Manage the overall portfolio risk and predict ECL for the portfolio Evaluate alternate data sources to solidify the risk management Work with cross-functional teams to build the anomaly detection capabilities Collaborate with Product team to build the right product to manage risk Evaluate the effectiveness of the solutions and improve upon them in a continuous manner We expect them to have a mix of a strong technical background and to have a keen eye for business implications of their work The ideal candidate for this role should BTech/ BE from Tier-I & II colleges 1-2 years of experience in Risk Analytics preferably with FinTechs Experience in SQL, Python, MS Excel Preferably experience with Statistical modeling such as Logistic Regression, Decision Trees, Gradient Boosting models etc. Be agile and highly collaborative, communicate impressively Strong analytical acumen and problem solving Be skilled in building and managing business alliances Be highly data-driven and adept at balancing needs with business goals Thrive in a competitive and a result-oriented work environment PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog . Life at PhonePe PhonePe in the news

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