3352 Data Scientist Jobs - Page 20

Role : Data Scientist Experience : 5 years to 8 years Location : Hyderabad, Pune, Bangalore Job Description: Mandatory Skills :Machine Learning, Python Programming Tools Python Pandas NumPy Matplotlib Seaborn Scikit learn SQL complex queries joins CTEs window functions Git Data Analysis Visualization Exploratory Data Analysis EDA trend and correlation analysis hypothesis testing dashboards Power BI Tableau storytelling with data Databases Data Handling SQL Server MySQL basic knowledge of Spark BigQuery Hive is a plus Statistics ML Foundational Descriptive and inferential statistics regression classification clustering KMeans model evaluation metrics accuracy precision recall AUC over fitting under fitting cross validation LLMAI Exposure Familiarity with prompt engineering OpenAI APIs basic usage of GPT models for data text automation awareness of LLM limitations and applications in analytics Soft Skills Strong problem solving ability attention to detail stakeholder communication ability to translate business problems into data solutions Experience Highlights Conducted in depth data analysis to uncover trends patterns and anomalies that informed strategic decisions across product marketing and operations teams Designed and implemented scalable data pipelines and automated data workflows using Python and SQL Developed and maintained analytical models and dashboards to track key business metrics and performance indicators Applied statistical methods and machine learning techniques to solve real world business problems such as forecasting segmentation and performance optimization Collaborated with stakeholders to gather requirements translate business questions into analytical approaches and communicate findings with clarity Explored the use of LLMs eg OpenAI GPT for enhancing internal workflows and accelerating data driven tasks such as querying summarization and content generation

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 6+ years' experience in technology roles. Must have a minimum of 2 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Data Scientist - GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisionsand were looking for someone who shares that belief. As a Data Scientist Digital Insights, youll join a dynamic team thats shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies.This opportunity empowers you to work with the latest trends in technologyfrom web traffic intelligence and data visualization to foundational applications of large language models (LLMs). Youll play a key role in transforming digital signals into actionable insights that influence business outcomes.Were proud to be recognized by Great Place to Work India as one of the countrys top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 13 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelors or masters degree in computer science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment. Shift Timing - 12:00 PM - 9:00 PMHybrid Work ModelWork from Office Twice a week #LI-SS3 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Synopsis of the role Understand client’s business requirements in terms of analytical needs and be a part of a High-class delivery team to deliver unparalleled analytical solutions using best in class analytical techniques. What you’ll do Ability to understand BFSI business problems and consult client on the appropriate solutions Provide thought leadership to projects and help develop unique solutions and deliver analytical outputs. Contribute to Building the BFSI Analytics practice through on- going identification of new opportunities. Provide hands-on support to the project team in developing ML models Build bureau-based Analytics capabilities and use the new age technology to implement those solutions What experience you need Understanding of key business and risk KPI’s for retail banking products 2+ years’ experience in handling BFSI analytics models Credit risk modeling development experience is a must Python coding experience is a must have technical skill Regulatory modeling development experience is good to have (ECL) Highly analytical with experience of working in teams Self-starter with high energy levels and ability to work in a fast-paced environment. In-depth business & risk understanding. Adaptability to work in project-based engagements across different kinds of banking clients. Team management experience would be preferred What sets us apart Energetic & international work environment Young, enthusiastic and highly collaborative teammates. Learn from and work with some of brightest minds in the banking lending, credit risk and marketing analytics space - both in India & International Fabulous opportunity to work with some of our largest blue-chip customers Chance to use cutting-edge statistical/modelling tools across literally hundreds of data assets Offices located in the center of Bangalore & Mumbai Opportunity to make an impact in the fastest growing Data & Analytics led Bureau Equifax D&A University: skill lab, group & individual learning

As a key member of our Data Science team, you will be responsible for developing innovative AI ML solutions across diverse business domains This includes designing, implementing, and optimizing advanced analytics models to address complex business challenges and drive data-driven decision making Your core responsibility will be to extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning pipelines You will collaborate closely with cross-functional teams including business analysts, software engineers, and product managers to understand business requirements, define problem statements, and deliver scalable solutions Additionally, you'll be expected to stay current with emerging technologies and methodologies in the AI/ML landscape to ensure our technical approaches remain cutting-edge and effective Desired Skills and experience Demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques. Proficiency in programming languages such as Python data analysis and model development. Proficiency in cloud platforms, such as Azure, Azure Data Factory, Snowflake, Databricks. Experience with data manipulation, cleaning, and preprocessing using pandas, NumPy, or equivalent libraries. Strong knowledge of SQL and experience working with various database systems and big data technologies. Proven track record of developing and deploying machine learning models in production environments. Experience with version control systems (e.g., Git) and collaborative development practices. Proficiency with visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI. Strong mathematics background including statistics, probability, linear algebra, and calculus. Excellent communication skills with ability to translate technical concepts to non-technical stakeholders. Experience working in cross-functional teams and managing projects through the full data science lifecycle. Knowledge of ethical considerations in AI development including bias detection and mitigation techniques. Key Responsibilities Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques. Design, develop and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making. Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy. Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness. Present findings, visualizations, and recommendations to stakeholders in clear, accessible formats tailored to technical and non-technical audiences. Stay current with the latest advancements in machine learning, deep learning, and statistical methods through continuous learning and research. Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions. Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions. Document methodologies, procedures, and results thoroughly to ensure reproducibility and knowledge transfer within the organization.

Senior Lead Data Scientist Retail AI/ML Strategy Location: Bangalore Experience Required: 6+ years in Data Science with deep expertise in AI/ML applications in retail and CPG About the Role: We are looking for a Senior Lead Data Scientist to drive strategic AI/ML initiatives across retail, consumer behavior, merchandising, and supply chain domains You will lead the design and implementation of cutting-edge models, including Bayesian analytics, regression and ensemble models, and semantic systems, to optimize sales, marketing, pricing, and operational decisions. Key Responsibilities: • Model Development & Machine Learning o Build, deploy, and scale advanced ML models using Python Frameworks. o Design solutions across key retail/CPG domains: Bayesian Analytics using tools like PyMC3, Stan, or BAMBI for uncertainty modeling and hierarchical inference. Market Mix Modeling (MMM) for marketing ROI and media budget allocation. Regression & Ensemble Modeling (e.g., Random Forest, XGBoost, LightGBM) for demand prediction, elasticity estimation, and churn analysis. New Store Forecastin g using spatial and demographic signals. Semantic Search Systems powered by embeddings and transformer-based architectures. Order Fraud Detection Models leveraging anomaly detection, supervised learning, and ensemble stacks. • Advanced Retail Use Cases o Lead AI/ML initiatives on: Assortment Optimization using constrained optimization or evolutionary algorithms. A/B & Multivariate Testing Frameworks including CUPED, geo-testing, and Bayesian lift measurement. Advanced Price Elasticity models using log-log forms, SHAP attribution, and marginal simulations. CLTV, RFM Segmentation , and customer churn prediction. Sales Attribution & Store Driver Modeling via regression and causal inference. Survey Analytics including sentiment analysis, NPS drivers, and unstructured feedback clustering. Merchandise Analytics covering product placement, ROI, markdown effectiveness, and space planning. • Cross-functional Leadership o Present findings and strategic recommendations to senior leadership. o Lead data science pods and mentor junior team members. • AI/ML Innovation o Stay ahead of the curve with innovations in LLMs, causal inference, probabilistic programming, and generative AI. o Build and maintain reusable modeling pipelines and experiment frameworks. Required Qualifications: • Masters or Bachelors in Computer Science, Statistics, Mathematics, Economics, or related fields. • 6+ years of experience in data science and machine learning, with a focus on retail or consumer-focused industries. • Proficiency in Python (pandas, scikit-learn, PyMC3, BAMBI), SQL, XGBoost, LightGBM, and forecasting techniques. • Hands-on experience with regression analysis, ensemble methods, Bayesian modeling, and experimentation design. • Exposure to causal inference libraries like DoWhy or EconML. Preferred Skills: • Familiarity with BI tools like Power BI, Tableau for dashboarding and executive storytelling. • Working knowledge of cloud platforms like Azure, AWS, or GCP and tools such as Databricks or MLflow

About the company: With over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches, IndusInd Bank is a universal bank with a widespread banking footprint across the country. IndusInd offers a wide array of products and services for individuals and corporates including microfinance, personal loans, personal and commercial vehicles loans, credit cards, SME loans. Over the years, IndusInd has grown ceaselessly and dynamically, driven by zeal to offer our customers banking services at par with the highest quality standards in the industry. IndusInd is a pioneer in digital first solutions to bring together the power of next-gen digital product stack, customer excellence and trust of an established bank. Job Purpose: To work on implementing data modeling solutions To design data flow and structure to reduce data redundancy and improving data movement among systems defining a data lineage To work in the Azure Data Warehouse To work with large data volume of data integration Experience With overall experience between 10 to 15 years, applicant must have minimum 8 to 11 years of hard core professional experience in data modeling for large Data Warehouse with multiple Sources. Technical Skills Expertise in core skill of data modeling principles/methods including conceptual, logical & physical Data Models Ability to utilize BI tools like Power BI, Tableau, etc to represent insights Experience in translating/mapping relational data models into XML and Schemas Expert knowledge of metadata management, relational & data modeling tools like ER Studio, Erwin or others. Hands-on experience in relational, dimensional and/or analytical experience (using RDBMS, dimensional, NoSQL, ETL and data ingestion protocols). Very strong in SQL queries Expertise in performance tuning of SQL queries. Ability to analyse source system and create Source to Target mapping. Ability to understand the business use case and create data models or joined data in Datawarehouse. Preferred experience in banking domain and experience in building data models/marts for various banking functions. Good to have knowledge of – -Azure powershell scripting or Python scripting for data transformation in ADF - SSIS, SSAS, BI tools like Power BI -Azure PaaS components like Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure Synapse (DWH), Polybase, ExpressRoute tunneling, etc. -API integration Responsibility Understanding the existing data model, existing data warehouse design, functional domain subject areas of data, documenting the same with as is architecture and proposed one. Understanding existing ETL process, various sources and analyzing, documenting the best approach to design logical data model where required Work with development team to implement the proposed data model into physical data model, build data flows Work with development team to optimize the database structure with best practices applying optimization methods. Analyze, document and implement to re-use of data model for new initiatives. Will interact with stakeholder, Users, other IT teams to understand the eco system and analyze for solutions Work on user requirements and create queries for creating consumption views for users from the existing DW data. Will train and lead a small team of data engineers. Qualifications Bachelors of Computer Science or Equivalent Should have certification done on Data Modeling and Data Analyst. Good to have a certification of Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201) Behavioral Competencies Should have excellent problem-solving and time management skills Strong analytical thinking skills Applicant should have excellent communication skill and process oriented with flexible execution mindset. Strategic Thinking with Research and Development mindset. Clear and demonstrative communication Efficiently identify and solves issues Identify, track and escalate risks in a timely manner Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may need to appear in an Online Assessment and/or a Technical Screening interview administered by Jigya, on behalf on IndusInd Bank Candidates selected after the screening rounds will be processed further by IndusInd Bank

Location: Delhi Experience: 5–8 Years Industry: Financial Services / Payments Job Summary We are looking for a skilled Data Modeler / Architect with 5–8 years of experience in designing, implementing, and optimizing robust data architectures in the financial payments industry. The ideal candidate will have deep expertise in SQL , data modeling, ETL/ELT pipeline development , and cloud-based data platforms such as Databricks or Snowflake . You will play a key role in designing scalable data models, orchestrating reliable data workflows, and ensuring the integrity and performance of mission-critical financial datasets. This is a highly collaborative role interfacing with engineering, analytics, product, and compliance teams. Key Responsibilities Design, implement, and maintain logical and physical data models to support transactional, analytical, and reporting systems. Develop and manage scalable ETL/ELT pipelines for processing large volumes of financial transaction data . Tune and optimize SQL queries, stored procedures , and data transformations for maximum performance. Build and manage data orchestration workflows using tools like Airflow, Dagster, or Luigi . Architect data lakes and warehouses using platforms like Databricks, Snowflake, BigQuery , or Redshift . Enforce and uphold data governance, security, and compliance standards (e.g., PCI-DSS, GDPR). Collaborate closely with data engineers, analysts, and business stakeholders to understand data needs and deliver solutions. Conduct data profiling, validation , and quality assurance to ensure clean and consistent data. Maintain clear and comprehensive documentation for data models, pipelines, and architecture. Required Skills & Qualifications 5–8 years of experience as a Data Modeler, Data Architect , or Senior Data Engineer in the financial/payments domain. Advanced SQL expertise, including query tuning, indexing , and performance optimization . Proficiency in developing ETL/ELT workflows using tools such as Spark, dbt, Talend, or Informatica . Experience with data orchestration frameworks: Airflow, Dagster, Luigi , etc. Strong hands-on experience with cloud-based data platforms like Databricks, Snowflake , or equivalents. Deep understanding of data warehousing principles : star/snowflake schema, slowly changing dimensions, etc. Familiarity with financial data structures , such as payment transactions, reconciliation, fraud patterns, and audit trails. Working knowledge of cloud services (AWS, GCP, or Azure) and data security best practices . Strong analytical thinking and problem-solving capabilities in high-scale environments. Preferred Qualifications Experience with real-time data pipelines (e.g., Kafka, Spark Streaming). Exposure to data mesh or data fabric architecture paradigms. Certifications in Snowflake, Databricks , or relevant cloud platforms. Knowledge of Python or Scala for data engineering tasks.

Write production-grade code in Python and/or C++ Use libraries and environments relevant to data science, scientific computing, and quantitative finance Present research findings clearly and concisely to technical and non-technical stakeholders Required Candidate profile with 1–3 yrs exp in Financial Services / Quantitative Finance/Fintech (is preferred) Qualification Engg Computer Science or Electrical Engg from top institutes

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the world s most competitive markets, with a deluge of multi-dimensional data dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21 st century human experience then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We re looking for an Applied Data Scientist who expects more from their career. It s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 2+ years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems What you can expect from us We won t just meet your expectations. We ll defy them. So you ll enjoy the comprehensive rewards package you d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don t just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone s invited. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) What you can expect from us We won t just meet your expectations. We ll defy them. So you ll enjoy the comprehensive rewards package you d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don t just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

This is a remote position, so you ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team The GoDaddy Payments Risk and Growth strategy team is an integral part to GoDaddy s mission of providing outstanding commerce and payments capabilities to our 20 million and growing everyday entrepreneurs. As a data scientist on the Strategy team, you will help enable safer payments for our users and protect GoDaddy from fraud. You will also uncover opportunities to expand GoDaddy Payments, and face complex challenges at GoDaddy, using data to guide team for scalability. What youll get to do... Develop machine learning based Risk Models, and new complex features with an aim to make GoDaddy Payments one of the most secure and merchant friendly payment facilitator Build data pipelines to prepare data for rapid learning in a scalable manner Design and build machine learning and data infrastructure by partnering with data and production engineering teams Comfortable applying a combination of qualitative and quantitative methods to come up with actionable strategies, connect with stakeholders, and recommend actions Support data science needs for both go-to-market strategy, and Risk Operations Your experience should include... 2+ years of experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression, and Decision Trees, among others 2+ years of coding experience using machine learning toolset within Python, SQL, Spark 2+ years of hands-on experiences with data extraction, cleaning, analysis and visualization You might also have... MBA or Master s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline Experience with non-structural data Experience in credit card payments industry Weve got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercards AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercards competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning oClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil oDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: oConfluence (Documentation) oBitbucket/Stash (Code Sharing) oShared Folders (File Sharing) oALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organizations effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required

Data Scientist Notice period/ Start Date :- Immediate / less than 60 days. Location : Bangalore,Hyderabad, Mumbai, Pune, chennai , NCR Below detail JD FYR, Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intreasted candidates please share CV On kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

About The Advanced Analytics Team The central Advanced Analytics team at the Abbott Established Pharma Division’s (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team. Primary Job Function With the above requirements in mind, EPD is looking to fill a role of a Data Scientist to build and refine effective Data Science Solutions for Abbott EPD world-wide. Core Job Responsibilities The Data Scientist rapidly navigates from identifying priorities and helping to generate ideas to implementing solutions. They Participate/drive data collection, cleaning, analysis and interpretation (EDA). Collaborate with the business partner and product owners to ideate on solutions to challenging problems. Generate insightful visualizations to communicate findings. Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team). Write high quality code with possibility of deployment in mind. Share the learnings and findings with other data scientists contributing to the collaborative environment. Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks. Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible. Keep himself/herself committed to continuous learning about the latest trends and technologies. Work closely with the Product Owners and the Engineering team to ensure delivery of the Data Science part of the projects within time, cost and quality. Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science standards and project requirements. Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs. Supervisory/Management Responsibilities Direct Reports: None. Indirect Reports: None. Position Accountability/Scope The Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders and identifying next steps/future impactful opportunities. This individual contributor role involves working with cross-functional teams to build innovative solutions for internal business functions across different geographies. Minimum Education Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics) Minimum Experience At least 3-5 years of relevant working experience, ideally in pharma environment Solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus). Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithms Proven problem-solving ability in international settings preferably with developing markets Proven experience in working in cloud environment preferably AWS / Sagemaker Strong experience working on full-life cycle data science; experience in applying data science methods to business problems Practical experience in deploying machine learning solutions Strong understanding of good software engineering principles and best practices Ability to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plus Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders Deep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer Vision Strong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniques Strong experience building and debugging complex SQL queries Excellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenarios Exceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholders Proven track record of delivering data-driven solutions that have had a measurable impact on business outcomes Exposure to big data technologies (e.g., Hadoop, Spark) is highly desirable Demonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organization Fluency in English a must, additional languages a plus

What Youll Do Develop advanced and efficient statistically effective algorithms that solve problems of highdimensionality. Utilizetechnical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques toidentify trends, createfigures, and analyze other relevantinformation. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform. What Youll Bring Amasters degree in computer science, Statistics, or a relevant field; A robust academic performance history with coursework emphasizing analysis and quantitative skills. A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R). Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. Fluency in English.

What Youll Do Develop advanced and efficientstatistically effective algorithms that solve problems of highdimensionality. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform. What Youll Bring Amasters degree in computer science, Statistics, or a relevant field; A robust academic performance history with coursework emphasizing analysis and quantitative skills. A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R). Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. Fluency in English.

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What Youll Do: Develop advanced and efficientstatistically effective algorithms that solve problems of highdimensionality. Utilizetechnical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques toidentify trends, createfigures, and analyze other relevantinformation. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform. What Youll Bring: Amasters degree in computer science, Statistics, or a relevant field; A robust academic performance history with coursework emphasizing analysis and quantitative skills. A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R). Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. Fluency in English.

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You would be part of FCSD analytics team. As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to develop solutions using AI/ML algorithms to provide actionable insights that deliver key results to Ford. The potential candidate should have hands-on experience in building statistical/machine learning models adhering to the best practices of development and deployment in cloud environment. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results. Responsibilities Job Responsibilities Build an in-depth understanding of the business domain and data sources. Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind. Design and implement scalable analytical solutions in Google cloud environment. Work closely with Product Owner, Product Manager, Software engineers and Data engineers to build products in agile environment. Operationalize AI/ML/LLM models by integrating with upstream and downstream business processes. Communicate results to business teams through effective presentations. Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management Identify opportunities to build analytical solutions driving business value, leveraging various data sources. Qualifications Qualifications: At least 2 years of relevant work experience in solving business problems using data science Bachelors/master’s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE,MS,MBA, BSc/MSc -Computer science/Statistics) or any other equivalent 2+ years of experience with SQL, Python delivering analytical solutions in production environment. At least 1 year of experience working in Cloud environment (GCP or AWS or Azure) 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc.,) and machine learning techniques (Classification/Regression, NLP) Technical Skills: Proficient in BigQuery/SQL, Python Advanced SQL knowledge to handle large data, optimize queries. Working knowledge in GCP environment (Big Query, Vertex AI) to develop and deploy machine Learning models Nice to have: Exposure to Gen AI/LLM Functional Skills: Understanding and formulating business problem statements Convert Business Problem statement into data science problems. Self-motivated with excellent verbal and written skills Highly credible in organizational, time management and decision making. Excellent Problem-Solving and Interpersonal skills

Experience Required: 2-5 Years No. of vacancies: 4 Job Type: Full Time Vacancy Role: WFO Job Category: Development Job Description We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Responsibilities Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions. Qualifications 2+ years of professional experience Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skill Job Type: Full-time Pay: ₹136,159.75 - ₹1,600,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Experience: Data science: 2 years (Required) Work Location: In person

Data Scientist or Azure AI Architect Experience - 15 Years Location - Bangalore/Chandigarh As this is an immediate need candidates who can join within 30 days may apply. Job Description: We are seeking a talented and experienced Data Scientist or Azure AI Architect with 15+ years of experience in IT, at least 5+ years of experience in Azure AI Studio, Azure AI Document Intelligence, Generative AI, Azure Services (Functions, Blobs, LLMs). This person must be a practitioner. Responsibilities: • Develop and implement AI Automation solutions using Microsoft Azure echo system (ML, LLMs), and Azure cognitive services. Tailoring them to meet business requirements. • Closely collaborate with business stakeholders to gather requirements. • Must be an individual contributor in designing and implementing AI Automation solutions. • Show the efficiency and effectiveness of the implemented solutions to stakeholders. • Create and maintain deployment pipelines. • Follow Agile methodology. • Good to have skills: Power Automate, Power Apps Qualifications: • B. Tech /B.E in Computer Science, Information Technology, or related field. • Hands-on experience in development, with a strong background in implementing solutions using Azure AI technologies and python. • Good Power platform experience and must be experienced in connecting Power Platform solutions to various data sources (Dataverse and Database). • Excellent problem-solving and analytical skills. • Ability to work collaboratively in a team environment. • Strong communication and interpersonal skills.

What The Candidate Will Need / Bonus Points ---What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring, Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications SQL mastery Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments Show

For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person

Hanumant Technology is the Best IT Company & Training Institute in Lucknow. We provide #1 IT Services and Training programs with 100% job placement. Contact No : 95175 01136 Job Types: Full-time, Permanent, Fresher Pay: ₹10,611.13 - ₹30,795.49 per month Work Location: In person

Position Overview: Here at ShyftLabs, we are looking for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data-driven insight and scientific solution. ShyftLabs is a growing data product company that was founded in early 2020, and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Data Analysis and Research: Analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve a complex ML and bidding system. Simulation and Modelling: Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modelling. Experimentation and Causal Inference: Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making. Basic Qualifications: Master's degree in a quantitative discipline or equivalent. 3+ years minimum professional experience. Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation. Excellent verbal and written communication skills, with the ability to present information and analysis results effectively. Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company. Statistics: Must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models. Machine Learning: Must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation. Programming: Experience with Python, R, or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas). We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Bay6.ai is an innovative company at the forefront of AI technology, delivering cutting-edge solutions that help businesses leverage the power of artificial intelligence. Bay6.ai is seeking an experienced and dynamic Senior/Lead Data Scientist to join our growing team. This individual will be responsible for the design and development of AI/ML predictive models that augment our decision support systems using customers' historical data sets. As a Senior Data Scientist, you will work closely with cross-functional teams to ensure that our AI driven solutions provide actionable insights and value to our clients. Job Responsibilities 1. Lead and architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights. 2. Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value. 3. Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise level production environments. 4. Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into product ecosystem, optimizing performance and efficiency across multiple teams. 5. Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models. 6. Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes. 7. Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement. 8. Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact. 9. Take ownership of solving complex, ambiguous problems with minimal supervision, applying advanced theoretical knowledge to conceptualize, simulate, and implement AI/ML solutions. 10. Define and manage data requirements and data quality assessments, orchestrating the extraction, transformation, and integration of data for analytical and modeling projects. Required Experience: 10+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions. ✓ Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning. ✓ Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch). ✓ Extensive experience with data wrangling, feature engineering, and working with large, complex, high volume datasets. ✓ Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments. ✓ Deep understanding of the P&C Insurance domain, with specific experience in areas like claims prediction, risk modeling, pricing optimization, and customer segmentation. ✓ Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels. ✓ Significant hands-on experience working with both structured and unstructured data at scale, with expertise in cloud platforms, distributed computing, and big data technologies. ✓ 10+ years of experience in predictive model development, data mining