1575 Predictive Modeling Jobs - Page 10

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data to understand fraud patterns and develop strategies to mitigate fraud losses while minimizing customer impact. You will monitor strategy performance, collaborate with the implementation team, and proactively suggest fraud loss mitigation measures using new data sources and advanced analytics techniques. You will be expected to perform hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and optimize existing rules for improved performance. Your role will require a holistic understanding of retail banking products, best practices, and the integration of analytical thinking with business knowledge to develop client-centric solutions. Ideally, you should have experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. Proficiency in decision tree models (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel is essential. Knowledge of Python, prior experience in Fraud Analytics, and familiarity with Tableau or other data visualization tools are desirable. You should also have experience in stakeholder management across functions and regions, translating data into consumer insights, and effectively communicating findings to business partners and senior leaders. Your role will involve delivering clear presentations, managing projects, supporting regulatory/audit activities, and collaborating with stakeholders to drive targeting and segmentation strategies. You should possess excellent communication skills, project and process management capabilities, and the ability to work both independently and within a team environment. Qualifications: - 8+ years of analytics experience, with prior experience in Fraud analytics preferred - Advanced analytical and business strategy skills - Effective communication skills, including the ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously Education: - Bachelors/University degree or equivalent experience; Masters degree preferred If you require a reasonable accommodation due to a disability for using our search tools or applying for a career opportunity, please review the Accessibility at Citi information. For more details, view Citi's EEO Policy Statement and the Know Your Rights poster.,

Are you passionate about data-driven HR and skilled at transforming complex analytics into actionable insights We are looking for an HR Analytics Trainer to design and deliver high-impact training programs that empower HR professionals with data literacy, People Analytics, and HR tech skills. As an HR Analytics Trainer, you will develop and deliver engaging training modules on HR analytics, workforce planning, predictive modeling, and HR dashboards. You will teach statistical concepts, HR metrics, and data storytelling to HR teams. Additionally, you will create hands-on exercises using real-world HR datasets and tools, customize training for different skill levels (beginners to advanced) and industries, and stay updated on HR tech trends (AI in HR, People Analytics) to ensure cutting-edge content. The ideal candidate for this role has 2+ years of experience in HR Analytics, People Analytics, or HRIS, with training/coaching experience. You should have strong expertise in HR data tools, the ability to simplify complex analytics concepts for non-technical audiences, and certifications in HR analytics, data science, or L&D are a plus. Excellent communication and facilitation skills are essential for this position. Join us to impact HR professionals globally with scalable learning solutions. We offer a flexible work environment with remote/hybrid options and a competitive salary with performance incentives.,

As the Senior Director of Marketing and Customer Analytics at Labcorp, you will play a pivotal role in shaping the company's marketing strategies and customer engagement initiatives using data-driven insights. Your responsibilities will include defining and executing Labcorp's long-term marketing analytics strategy, delivering actionable insights to enhance campaign planning and audience segmentation, and championing the use of AI tools for personalized customer engagement. Additionally, you will lead a high-performing team, collaborate with internal stakeholders, and support the development of audience segmentation and marketing measurement initiatives. You will be responsible for building and leading a team of marketing analysts and data scientists to drive global programs, while also creating a supportive and inspiring team culture. Your role will involve developing marketing analytics strategies, establishing key metrics for measuring marketing programs, and collaborating with various stakeholders to leverage data for informed decision-making. You will also lead efforts in campaign analytics, marketing performance, and team development, ensuring that Labcorp maximizes data utilization and drives business growth effectively. To succeed in this role, you should have at least 15 years of experience in analytics, with a proven track record of shaping and executing marketing data strategies in Fortune 500 settings. Strong leadership skills, expertise in advanced analytics and predictive modeling, and the ability to communicate complex analytical findings in a compelling manner are essential for this position. Additionally, experience with data architecture principles, data visualization tools, and proficiency in tools such as Python, R, SQL, Tableau, and Power BI will be beneficial. The ideal candidate for this role is a self-starter with a proactive mindset, capable of working independently as well as collaboratively in a team environment. You should possess strong project management skills, excellent interpersonal communication abilities, and a results-oriented approach to driving data-driven decisions. Prior experience in medical diagnostics, pharmaceutical R&D, or healthcare sectors, as well as a strong understanding of Martech data sources, will be advantageous. Labcorp is an Equal Opportunity Employer and encourages individuals from all backgrounds to apply for this position. If you require assistance due to a disability or need accommodation during the application process, please visit Labcorp Accessibility for support. Your privacy is important to us, and we adhere to strict guidelines for collecting and storing personal data.,

Job Title: Market Research Intern Data & Agentic AI Strategy About USEReady: USEReady is a global leader in Agentic AI services, empowering enterprises to harness the full potential of data and intelligent agents to drive innovation, efficiency, and growth. Our consulting solutions span data engineering, AI strategy, and digital transformation. We are seeking a highly motivated Market Research Intern to support our strategic initiatives with deep, data-driven insights into the evolving Data and AI landscape. Role Overview: As a Market Research Intern, you will collaborate with our Strategy and Innovation teams to explore emerging trends in Agentic AI, data platforms, and enterprise AI adoption. You will apply advanced research methodologies to analyze market dynamics, competitive positioning, and client needs in the rapidly evolving tech consulting space. Key Responsibilities: Conduct in-depth market research on Agentic AI, data engineering, cloud platforms, and digital transformation trends. Analyze competitive intelligence and benchmark leading players in the AI consulting and enterprise services space. Apply advanced techniques such as sentiment analysis, clustering, and predictive modeling to uncover insights. Support go-to-market strategies with data-backed recommendations. Design and analyze surveys, expert interviews, and secondary research to validate hypotheses. Create compelling dashboards and visual reports for internal stakeholders and leadership. Required Skills and Qualifications: MBA (or currently pursuing) from a top-tier institution, preferably with a focus in Strategy, Technology Management, or Analytics. Strong understanding of the Data & AI ecosystem, including Agentic AI, cloud platforms (Azure, AWS, GCP), and enterprise data solutions. Proficiency in data analysis tools such as Python, R, SQL, and Excel. Experience with data visualization tools like Tableau, Power BI, or Looker. Familiarity with market research techniques such as TAM/SAM/SOM analysis, SWOT, Porter s Five Forces, and customer segmentation. Excellent communication and storytelling skills, with the ability to translate complex data into actionable insights. Self-starter with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment. Prior experience in consulting, tech strategy, or analytics is a strong plus. What You ll Gain: Exposure to cutting-edge Agentic AI and data consulting projects. Hands-on experience with strategic market research in a high-growth tech environment. Mentorship from industry leaders in AI, data science, and digital strategy. Opportunity to contribute to real-world business decisions and client engagements. How to Apply: Please submit your resume, a brief cover letter, and any relevant work samples or project portfolios to [application email or portal].

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Who We Are:Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.Role Summary:As a Senior Data Scientist, you ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.What Youll Do:Model Development and Innovation: Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application. Optimise model performance, scalability, and interpretability for production systems.MLOps & Deployment Contribute to the deployment of models into production environments using MLOps best practices. Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models. Data & Experimentation Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.Technology and Tools: Work with large-scale datasets, ensuring data quality and scalability of solutions. Leverage cloud platforms like AWS, GCP for model training and deployment. Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.Cross-functional Collaboration Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.Who You Are:Education: Bachelors from Tier 1 premier institute in relevant field, or; Master s or PhD in Computer Science, Data Science, Mathematics, or a related field.Experience: 4 6 years of hands-on experience in machine learning or data science roles. Proven expertise in machine learning, deep learning, NLP, and recommendation systems. Hands-on experience deploying ML models in production at scale. Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.Technical Skills: Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Strong understanding of statistical methods, predictive modeling, and algorithm design. Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).Soft Skills: Strong analytical and problem-solving mindset. Excellent communication skills to articulate data-driven insights. A passion for innovation and staying up-to-date with the latest trends in AI/ML.Why Join Us: Opportunity to work on cutting-edge AI/ML projects impacting millions of users. Be part of a collaborative, innovation-driven team in a fast-growing Martech company. Competitive compensation and growth opportunities in a fast-paced environment.We d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)

Data Science Finance Analyst 1 Description - Job Summary This role is responsible for conducting advanced analytics within Finance business to generate breakthrough insights enabling critical business decision making. The role works on building, testing, and improving medium complexity analytics models involving descriptive, diagnostic and predictive statistics. The role combines knowledge of data mining, statistical modelling, mathematics, econometrics, advanced concepts and ability to utilize big data to generate actionable business insights. The role is involved in identifying or setting up new data sources, and cleaning/organizing data. Responsibilities Leverage Data Science and Digital Skills along with Finance Business Context to build innovative and intuitive solutions for business problems. Works with the team to mine data using modern tools and programming languages. Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems. Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data. Supports the implementation of models to uncover patterns and predictions creating business value and innovation. Works with the team to create stories with the data using visualization tools/methods. Assures accuracy, integrity, and compliance of cleansed data. Works with project team to understand problem statements, initiatives and directions from business. Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Collaborates and communicates with project team regarding project progress and issue resolution. Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports. Education & Experience Recommended BE/MTech/Bachelors or Masters in Mathematics/Statistics Typically has 0-3 years of work experience, preferably in ML, Data Science, AI, Data Engineering, Data Analytics, Mathematical/Statistical modeling. Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Job - Finance Schedule - Full time Shift - No shift premium (India) Travel - Not Specified Relocation - Equal Opportunity Employer (EEO) - Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you d like more information about HP s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law Supplement

Data Science Financial Analyst I Description - HQ Strategy & Finance Analytics team provides a unique opportunity to work on projects across HP Inc. You will be part of a team of analytics consultants, technical experts and data scientists within WW HP Inc. as part of the HQ Strategy & Finance Analytics Organization supporting the analytics projects and initiatives within the organization. You will participate in high profile initiatives including analyzing revenue trends, financial and operational metrics, implementing change, and developing frameworks for assessing the organization s progress against its business and financial objectives. You will have the opportunity to work closely with the Finance Leadership/ Business Finance and Business leaders both in the GBU and region teams, and support them with analytically rigorous and pragmatic Business Intelligence solutions. HP is working on several machine learning problems related to financial analytics. We are in the process of setting up a new strategic team that will mine internal financial databases, and build predictive/prescriptive models using data science, advanced statistical tools and Machine Learning algorithms. We are looking for an outstanding Machine Learning Scientist who combines superb technical, communication, and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. The ideal candidate for this team will be a thinker and a doer: someone who loves sophisticated algorithms and mathematical precision and is motivated by the prospect of spectacular business returns. You will be responsible for Analytics Solutions Development, source and integrate diverse data sets while building business intelligence and analytics models/frameworks to support decisions on focus areas and investments for key initiatives across regions. You will help to mine both internal and external data sources to provide strategic insights and research to enable informed decision making by Finance Leadership and assist in formulation of strategies and recommendations across personal systems, print, and mobility businesses. You will have the opportunity to own and drive projects/initiatives with end to end responsibility, collaborate with some of the best minds in the industry and drive outcomes. Qualifications: PhD in Computer Science, Mathematics or Statistics or, Masters in Computer Science, Mathematics or Statistics from IITs or IISC or Indian Statistical Institute or any other respected foreign universities Skills: 2 to 4 years of industrial experience in predictive modeling and analysis, predictive software development Must have worked on commonly used Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision Tree, K-Means, Random Forest etc. Strong Problem solving ability Must have excellent coding skills in Python and knowledge in Hadoop Experience in using SAS, Matlab, or any other statistical software Strong skills in Technology, BI Tools and Technical Development Strong data presentation skills Experience handling gigabyte, larger size datasets and Big Data Experience working with financial data and systems (preferred)

We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, youll create algorithms and conduct statistical analysis. Overall, youll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. Responsibilities Analyze and organize raw data Build data systems and pipelines Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Previous experience as a data engineer or in a similar role Technical expertise with data models, data mining, and segmentation techniques Knowledge of programming languages (e.g. Java and Python) Hands-on experience with SQL database design Degree in Computer Science, IT, or similar field; a Masters is a plus Focus will be on building out our Python ETL processes and writing superb SQL Use agile software development processes to make iterative improvements to our back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis Build data pipelines that clean, transform, and aggregate data from disparate sources

Job Description : We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Responsibilities: Data mining or extracting usable data from valuable data sources Utilize predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Develop company A/B testing frameworks and test model quality. Coordinate with cross functional teams to implement models and monitor outcomes. Conduct data-driven research and create models to understand complex behaviors and trends. Present data insights and recommendations to senior management for strategic decision-making. Develop and maintain prediction systems and machine learning algorithms. Qualifications: Minimum 4+ years of experience in the IT industry. Strong problem-solving skills with an emphasis on product development. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience using statistical computer languages (Python, R, SQL, etc.) to manipulate data and draw insights from large data sets. A drive to learn and master new technologies and techniques. Experience working with and creating data architectures.

Required Skills: Successful candidates will have demonstrated the following skills and characteristics - Must-Have (Senior Associate - CPG & Retail Analytics) Hands-on experience with CPG & Retail data assets such as point-of-sale (POS) transactions, loyalty-program histories, syndicated panel data (NielsenIQ, Circana/IRI, Kantar), e-commerce clickstream, and supply-chain sensors/IoT. Deep understanding of predictive modeling for purchase propensity, demand forecasting, promotion uplift, assortment, and customer lifetime value in omnichannel retail environments. Proficiency in machine learning techniquesclassification, regression, clustering, recommendation engines, and advanced time-series forecasting applied to sales and inventory data. Strong command of statistical methods including A/B & multivariate testing, price-elasticity modeling, market-basket analysis, segmentation, and causal-impact evaluation. Expert programming in Python or R, plus SQL with retail-specific data-wrangling libraries (pandas, dbt) across cloud warehouses (BigQuery, Redshift, Synapse). Hands on BI fluency in developing interactive visualizations in Power BI, Tableau, or Looker that turn SKU-level data into actionable stories for category, trade-marketing, and supply-chain teams. Exposure to big data & real-time analytics stacks used in retail (Spark, Kafka, Delta Lake, Snowflake Streaming, Google Vertex AI). Ability to translate insights for merchandising, marketing, supply-chain, and store-operations stakeholders—communicating clearly with both technical data teams and business leaders. Nice to have Exposure to ML engineering (Azure ML, AWS SageMaker, GCP Vertex AI) Experience blending retail-media impression/click logs with sales to calculate ROAS and incrementality, or to build MMM-lite dashboards for brand teams. Roles and Responsibilities Assist analytics projects within the CPG & Retail domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Role & responsibilities Preferred candidate profile

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers" evolving needs. From advocating for safety measures like seat belts and airbags to being a leader in pricing sophistication, telematics, and device and identity protection. This role is responsible for leading the use of data to make decisions. You will develop and execute new machine learning predictive modeling algorithms, code tools using machine learning/predictive modeling for business decisions, integrate new data to improve modeling results, and find solutions to business problems through machine learning/predictive modeling. In addition, you will manage projects of small to medium complexity. We are seeking a Data Scientist to apply machine learning and advanced analytics to solve complex business problems. The ideal candidate will possess technical expertise, business acumen, and a passion for solving high-impact problems. Your responsibilities will include developing machine learning models, integrating new data sources, and delivering solutions that enhance decision-making. You will collaborate with cross-functional teams to translate insights into action, from design to deployment. Key Responsibilities: - Design, build, and validate statistical and machine learning models for key business problems. - Perform data exploration and analysis to uncover insights and improve model performance. - Communicate findings to stakeholders, collaborate with teams to ensure solutions are adopted. - Stay updated on modeling techniques, tools, and technologies, integrating innovative approaches. - Lead data science initiatives from planning to delivery, ensuring measurable business impact. - Provide mentorship to junior team members and lead technical teams as required. Must-Have Skills: - 4 to 8 years of experience in applied data science, delivering business value through machine learning. - Proficiency in Python with experience in libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch. - Strong foundation in statistical analysis, regression modeling, classification techniques, and more. - Hands-on experience with building and deploying machine learning models in cloud environments. - Ability to translate complex business problems into structured data science problems. - Strong communication, stakeholder management, analytical, and problem-solving skills. - Proactive in identifying opportunities for data-driven decision-making. - Experience in Agile or Scrum-based project environments. Preferred Skills: - Experience with Large Language Models (LLMs) and transformer architectures. - Experience with production-grade ML platforms and orchestration tools for scaling models. Primary Skills: Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management. Shift Time: Shift B (India). Recruiter Info: Annapurna Jha, email: ajhat@allstate.com. About Allstate: The Allstate Corporation is a leading insurance provider in the US, with operations in multiple countries, including India. Allstate India is a strategic business services arm focusing on technology, innovation, and operational excellence. Learn more about Allstate India here.,

You will play a crucial role as the Lead Analytics Consultant in the Data and Analytics Services team at Sun Life. Your primary responsibility will be to create innovative visual analytics solutions that facilitate faster and more informed decision-making processes within the organization. Your expertise will be instrumental in advancing strategic analytics projects that cater to the needs of our business stakeholders. To excel in this role, you should have a minimum of 5 years of experience in Tableau development, including designing dashboards and decision enablement tools. Proficiency in Tableau Desktop and Server platforms, as well as SQL Programming and PL/SQL, is essential. You will be required to showcase your skills by developing a diverse range of design use cases that prioritize user experience and working in an agile development environment. Ideally, you should hold a graduate degree in Mathematics, Computer Science, Engineering, or a related field to qualify for this position. Your responsibilities will involve demonstrating visual design expertise, creating complex calculations, and implementing advanced dashboard practices in Tableau. Additionally, you should be adept at data modeling, performance tuning of Tableau Server dashboards, and designing custom landing pages for enhanced user experience. Your ability to work independently, manage engagements with business partners, and extract meaningful insights from data will be key to your success in this role. Possessing additional skills such as Tableau desktop and server certification, experience with R/Python/Matlab/SAS, and exposure to Agile or design-driven development of analytics applications will be advantageous. If you are passionate about leveraging data and analytics to drive meaningful business outcomes, this role will provide you with an exciting opportunity to make a difference in the lives of individuals, families, and communities around the world.,

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

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Responsibilities & Key Deliverables We are looking for a Senior Data Scientist with a balanced mix of hands-on expertise and team leadership capabilities. The ideal candidate is someone who thrives at the intersection of technical depth and strategic impact. In this dual role, youll own critical projects end-to-end while mentoring a team of data scientists and analysts to drive enterprise-wide AI initiatives. Leadership (50%) Lead and mentor a small team of junior to mid-level data scientists and analysts. Translate high-level business problems into analytical frameworks and guide project execution. Review models, code, and outputs to ensure quality and scalability. Manage timelines, prioritize tasks, and align with cross-functional stakeholders. Collaborate with product, engineering, and business teams to deliver AI-driven solutions. Individual Contributor (50%) Design, build, and deploy machine learning models, statistical frameworks, and data pipelines. Perform deep data exploration and generate actionable insights. Work on a range of problems including predictive modeling, segmentation, recommendation systems, NLP, and computer vision depending on project needs. Conduct robust feature engineering, model evaluation, and tuning. Communicate findings clearly to technical and non-technical stakeholders. Experience 5 8 years of hands-on experience in data science, machine learning, or analytics. Qualifications Required Qualifications: Strong programming skills in Python, SQL, and proficiency with libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost. Solid understanding of supervised/unsupervised ML, A/B testing, and statistical modeling. Demonstrated experience in leading or mentoring data science teams (formal or informal). Excellent communication, problem-solving, and stakeholder engagement skills. Experience working with both structured and unstructured data at scale. Good to Have: Exposure to cloud-based AI/ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML Studio. Experience working with cloud-native data tools (e.g., BigQuery, Redshift, Snowflake). Understanding of data architecture and modern database systems (e.g., PostgreSQL, MongoDB, Cassandra). Familiarity with MLOps practices, model monitoring, and CI/CD pipelines for ML.

About the Role: SymphonyAI is seeking a strategic and forward-thinking Principal Product Manager to lead the development of our Retail Intelligence Suite, a GenAI-powered platform unifying sales, shopper, assortment, pricing, promotion, and supply chain intelligence. This role is instrumental in delivering connected insights and intelligent workflows that drive measurable outcomes for retailers and CPGs. As a senior product leader, you will define and scale core intelligence capabilities, develop cross-functional use cases, and drive integration across CINDE applications and agentic Copilot experiences. Your focus will be on enabling real-time, predictive, and actionable insights that fuel smarter decision-making from HQ to store. What You Will Do: Define and execute the product vision and roadmap for the Retail Intelligence Suite across domains including POS sales analytics, shopper behavior, pricing, promo effectiveness, inventory/supply signals, and assortment performance. Build and launch AI-powered capabilities, including embedded Copilots, Agentic workflows, and scenario-based intelligence applications for merchandising, planning, and execution teams. Lead development of centralized dashboards and API-accessible data models that serve up dynamic, role-based recommendations across CINDE modules (e.g., Promo Optimize, Assortment Optimize, Store Intelligence). Drive integration of first-party, syndicated, and third party datasets to fuel real-time performance measurement, predictive modeling, and closed-loop optimization. Collaborate with platform engineering, ML teams, and UX to deliver high-performance, scalable, and intuitive user experiences across central office and store operations. Partner with customer success, sales, and marketing to develop go-to-market assets, sales enablement content, and pricing models for intelligence-driven features. Engage directly with clients and industry stakeholders to validate use cases, gather feedback, and shape future innovation. Support cross-domain product launches, acting as the strategic intelligence layer across assortment, promo, price, and execution planning applications. Ensure tight alignment with broader CINDE product vision, including semantic models, knowledge graph integration, and GenAI platform services. What You Will Bring to SymphonyAI: Proven experience in developing enterprise-grade AI or analytics platforms for retail or CPG use cases. Strong understanding of connected retail domains, including sales planning, promotional optimization, assortment strategy, shopper insights, pricing analytics, and supply chain signals. Demonstrated ability to translate complex data and ML models into actionable products that solve real user problems and drive adoption. Strategic mindset with a strong ability to influence executive stakeholders and cross-functional teams. Expertise in building products at the intersection of data, UX, and AI, with a bias for user-centric design and scalable architecture. Comfort with ambiguity and complexity; ability to prioritize and execute in fast-paced environments with evolving market needs. Qualifications: Bachelor s degree in Business, Computer Science, Data Science, or a related field; MBA or advanced degree preferred. 10+ years of experience in product management, with at least 3 5 years in AI, analytics, or decision intelligence platforms. Experience in retail technology, particularly in merchandising, demand planning, promotion, pricing, or space/assortment optimization. Familiarity with AI/ML applications, GenAI/Copilot architectures, and data pipeline orchestration. Strong technical fluency, including experience with APIs, modern data stacks, and data visualization tools. Exceptional communication skills, with a proven track record of influencing product strategy and commercial success. Introduction Job Title: Principal Product Manager Retail Intelligence Suite (Connected Retail Platform) Job Description About the Role: SymphonyAI is seeking a strategic and forward-thinking Principal Product Manager to lead the development of our Retail Intelligence Suite, a GenAI-powered platform unifying sales, shopper, assortment, pricing, promotion, and supply chain intelligence. This role is instrumental in delivering connected insights and intelligent workflows that drive measurable outcomes for retailers and CPGs. As a senior product leader, you will define and scale core intelligence capabilities, develop cross-functional use cases, and drive integration across CINDE applications and agentic Copilot experiences. Your focus will be on enabling real-time, predictive, and actionable insights that fuel smarter decision-making from HQ to store. What You Will Do: Define and execute the product vision and roadmap for the Retail Intelligence Suite across domains including POS sales analytics, shopper behavior, pricing, promo effectiveness, inventory/supply signals, and assortment performance. Build and launch AI-powered capabilities, including embedded Copilots, Agentic workflows, and scenario-based intelligence applications for merchandising, planning, and execution teams. Lead development of centralized dashboards and API-accessible data models that serve up dynamic, role-based recommendations across CINDE modules (e.g., Promo Optimize, Assortment Optimize, Store Intelligence). Drive integration of first-party, syndicated, and third party datasets to fuel real-time performance measurement, predictive modeling, and closed-loop optimization. Collaborate with platform engineering, ML teams, and UX to deliver high-performance, scalable, and intuitive user experiences across central office and store operations. Partner with customer success, sales, and marketing to develop go-to-market assets, sales enablement content, and pricing models for intelligence-driven features. Engage directly with clients and industry stakeholders to validate use cases, gather feedback, and shape future innovation. Support cross-domain product launches, acting as the strategic intelligence layer across assortment, promo, price, and execution planning applications. Ensure tight alignment with broader CINDE product vision, including semantic models, knowledge graph integration, and GenAI platform services. What You Will Bring to SymphonyAI: Proven experience in developing enterprise-grade AI or analytics platforms for retail or CPG use cases. Strong understanding of connected retail domains, including sales planning, promotional optimization, assortment strategy, shopper insights, pricing analytics, and supply chain signals. Demonstrated ability to translate complex data and ML models into actionable products that solve real user problems and drive adoption. Strategic mindset with a strong ability to influence executive stakeholders and cross-functional teams. Expertise in building products at the intersection of data, UX, and AI, with a bias for user-centric design and scalable architecture. Comfort with ambiguity and complexity; ability to prioritize and execute in fast-paced environments with evolving market needs. Qualifications: Bachelor s degree in Business, Computer Science, Data Science, or a related field; MBA or advanced degree preferred. 10+ years of experience in product management, with at least 3 5 years in AI, analytics, or decision intelligence platforms. Experience in retail technology, particularly in merchandising, demand planning, promotion, pricing, or space/assortment optimization. Familiarity with AI/ML applications, GenAI/Copilot architectures, and data pipeline orchestration. Strong technical fluency, including experience with APIs, modern data stacks, and data visualization tools. Exceptional communication skills, with a proven track record of influencing product strategy and commercial success. About Us Why Join SymphonyAI? Help shape the next generation of AI-powered connected retail solutions with a global impact. Collaborate with visionary leaders and top-tier talent in product, AI, engineering, and design. Join a fast-growing, mission-driven company committed to transforming high-impact industries with enterprise AI. Opportunity to lead in one of the most strategic product areas driving innovation across retail and CPG ecosystems. About SymphonyAI: SymphonyAI is building the leading enterprise AI SaaS company driving digital transformation in retail, CPG, finance, manufacturing, media, and IT. Since 2017, we ve grown to serve 2,000+ global customers and employ over 3,000 professionals across 30+ countries, all united by our vision to deliver predictive, prescriptive, and autonomous AI solutions that deliver true business impact.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. 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 and reports. Bachelor's degree in any discipline; advanced degree preferred.

: The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Responsibilities: Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects. Qualifications: Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience. Proven 5-8 years of experienceas a Senior Data Engineer or similar role. Experience with big data toolsHadoop, Spark, Kafka, Ansible, chef, Terraform, Airflow, and Protobuf RPC etc. Expert level SQL skills for data manipulation (DML) and validation (DB2). Experience with data pipeline and workflow management tools. Experience with object-oriented/object function scripting languagesPython, Java, Go langetc. Strong problem solving and analytical skills. Excellent verbal communication skills. Good interpersonal skills. Ability to provide technical leadership for the team.

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job TitleBig Data Engineer : The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Responsibilities: Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience. Proven 5-8 years of experienceas a Senior Data Engineer or similar role. Experience with big data toolsPyspark, Hadoop, Spark, Kafka, Ansible, chef, Terraform, Airflow, and Protobuf RPC etc.. Expert level SQL skills for data manipulation (DML) and validation (DB2). Experience with data pipeline and workflow management tools. Experience with object-oriented/object function scripting languagesPython, Java, Go langetc. Strong problem solving and analytical skills. Excellent verbal communication skills. Good interpersonal skills. Ability to provide technical leadership for the team.

Educational Requirements MCA,Bachelor of Engineering,BCA Service Line Data & Analytics Unit Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Technical and Professional Requirements: Generative AI, AI/ML, Python, Databricks Preferred Skills: Technology-Machine Learning-Generative AI

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BCom Service Line Data & Analytics Unit Responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issues with pipeline failures Understand and take requirements on Operationalization of ML Models from Data Scientist Engage with Business / Stakeholders with status update on progress of development and issue fix Setup Standards related to Coding, Pipelines and Documentation Research on new topics, services and enhancements in Cloud Technologies Additional Responsibilities: EEO/ :Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Technical and Professional Requirements: Preferred Qualifications: Experienced in Agile way of working, manage team effort and track through JIRA High Impact client communication Domain experience in Retail, CPG and Logistics Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIsThe job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. Preferred Skills: Technology-Machine learning-data science

Your Role and Responsibilities An AI Solution Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges.Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Required technical and professional expertise Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples. Knowledge of cloud technologies and expertise in leveraging them for large-scale AI or FM workloads. Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful AI solutions. Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes. Strong communication skills and the ability to collaborate effectively within a local team. Excellent command of the English language, both verbal and written. Preferred technical and professional experience Strong contribution record demonstrated through active participation in open source communities, sharing technical resources and educational content, maintaining influential technical blogs or social media presence, and public evangelism of technology through speaking engagements, workshops and community events. Track record in being part of highly collaborative teams to tackle important problems which produce high impact solutions. Expertise in Python programming and statistical analysis including experience with advances statistical methods, data modelling and implementing efficient algorithmic solutions.

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management * Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

Returnship- Hiring Data science professionals Experience: 3 Years - 8 Years Location: Pan India JD: Data science- ML, Text analytics, Regression, Data classification and prediction, API’s Software’s:- python , power BI, sql, tableau. Platforms: H2O, Data robot Analytics code Deployment using Azure, AWS, on prem methods etc.