1342 Data Scientist Jobs - Page 8

Company Description icogz is an AI-powered Business Intelligence platform that transforms enterprise data into proactive, contextual insights. At its core is Aryabot , a neuro-symbolic, agentic intelligence engine that combines fine-tuned LLMs, Retrieval-Augmented Generation (RAG), and proprietary reasoning to deliver explainable, actionable recommendations across the organization. Role: Data Scientist Location: Mumbai (on-site) Type: Full-time We seek a visionary Product Lead to drive our data sciences and AI/ML product portfolio. This role combines deep technical expertise with strategic product leadership to deliver exceptional client value while maintaining innovation leadership in the Business Intelligence market. You'll define product strategy, lead cross-functional teams, and scale technical products from conception to market success. Key Responsibilities: Strategic Product Leadership: Define comprehensive product strategy for AI/ML-powered solutions Establish roadmaps aligned with market opportunities and client needs Drive product vision and competitive positioning in BI and data analytics Lead cross-functional collaboration across Engineering, Data Science, and Go-to-Market teams Technical Product Management: Oversee ML-driven intelligence product development for complex business problems Integrate advanced AI/ML capabilities including LLMs, NLP, and agent frameworks Champion best practices in data management, algorithm development, and model deployment Drive innovation in vector databases, embedding-based retrieval, and advanced analytics Market & Client Focus: Conduct market research and competitive analysis to identify opportunities Translate technical capabilities into compelling value propositions Lead client advisory sessions and refine product-market fit Ensure measurable business impact and ROI across diverse industries Team Leadership: Build and mentor high-performing product and technical teams Foster culture of innovation, technical excellence, and client-centricity Establish frameworks for skill development and knowledge sharing Drive adoption of emerging technologies and methodologies Business Impact: Support P&L responsibility for data sciences product portfolio Define and track key metrics: adoption, retention, revenue impact Lead product launches and market entry strategies Collaborate with Sales and Marketing for successful go-to-market execution Required Qualifications: Technical Expertise: Advanced degree in Data Science, Computer Science, Statistics, or related field 8-12 years’ experience in data sciences, ML, and technical product management Deep expertise in statistical analysis, ML algorithms, and practical applications Proficiency in Python/R, SQL, ML frameworks and libraries Strong understanding of NLP, LLMs, agent frameworks, and modern AI/ML architectures Experience with big data technologies, cloud platforms, and scalable data processing Product Leadership: 5+ years senior product management experience, 3+ years in leadership roles Proven track record launching and scaling technical B2B products Experience in Business Intelligence, analytics, or data sciences industry Strong background in product strategy, roadmaps, and cross-functional leadership Business & Leadership: Understanding of BI, data analytics, and enterprise software markets Experience with product monetization and revenue optimization Proven ability to work with C-level executives and drive strategic decisions Exceptional communication skills and ability to articulate complex technical concepts Experience in fast-paced, high-growth technology environments Preferred Qualifications: Experience with vector databases, MLOps, and production ML systems Startup or scale-up technology company background Enterprise software sales and customer success experience Track record of successful product exits or organizational scaling Knowledge of data governance, privacy, and compliance requirements What We Offer: Lead product strategy for cutting-edge AI/ML solutions Competitive compensation package including equity options Innovation-driven environment with top-tier technical talent Direct impact on company strategy and growth Access to latest technologies and Opportunity to be a part of core pioneering team Show more Show less

Full-time Company Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com. Job Description The Product Design and Enhancement (PDE) team is responsible for all design-related activities of the Data Science unit at NIQ, setting up the base for Retail Index reporting. The key responsibilities of PDE associate assigned to given market include: Sample Design, Universe Estimation and other design-related projects for the Retail Index Identification of quality risks and follow up on solutions Engagement with stakeholders on scope, execution, data exchange and outcomes for assigned projects Expert-level analysis of results and presentations with insights Team work in virtual multi-country environment requiring effective communication with colleagues located in various countries Usage of dedicated software supported by ad hoc programming and data mining Identification of opportunities for innovations and tools development in the dynamic work environment Analysis of processes within the area of responsibilities with recommendations on improvements Qualifications Essential: Master’s degree in Mathematics, Statistics, Economics, Operations Research or related fields Knowledge of Microsoft Office applications Competency in at least one programming language (Python or R) Organizational skills to manage projects (time management, prioritization, deadlines) Ability to engage and communicate effectively Strong analytical and problem-solving skills Good command of English Eagerness to continuously learn and adapt to changing technologies and tools Preferable Work experience in FMCG, Market research, consumer research or similar industries Knowledge of statistical inference and survey-based research Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

Full-time Company Description As the world's largest research organization, NIQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics, and demography. These professionals drive innovation, new product ideation, develop complex analysis and delivery of data insights to measure what consumers buy. Job Description Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues. Support Internal and External Clients with the understanding of Data Science design and methodology. Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions. Work on creating innovative solutions, use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python. Understand Nielsen products and services to suggest innovative solutions for client challenges. Collaborate with other Data Science team units. Automate and develop solutions for existing processes. Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. About You You have dabbled in data. You have perused Python. And you have the communication chops to translate it all into conversation or presentations. While you have worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what is happening in big data and you are ready to influence what is next. Qualifications Professionals with degrees (either Bachelor/Master) in Math's, Data Science, Statistics, or related fields involving statistical analysis of large data sets. 1 year of experience in market research or relevant fields, however, open for fresh graduate. Intermediate levels proficiency with Python Implementation experiences on automation of processes Basic knowledge with data visualization tools (e.g., PowerBi) and mapping tools. Problem-Solving skills Ability to effectively convey complex concepts to non-experts Intellectual curiosity and persistence to find answers to questions Eager to continuously learn and adapt to changing technologies and tools. Good command of written and spoken English. Good collaborative and interpersonal skills to communicate at all levels. Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI) Good to Have Knowledge of Machine Learning /Web scrapping Up to date with technology and active user of eCommerce platforms Familiarity with Atlassian, Git, Bitbucket and Confluence Familiarity with marketing analytics, including designing experiments and consumer behavior analysis. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

Company Description As the world's largest research organization, NIQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics, and demography. These professionals drive innovation, new product ideation, develop complex analysis and delivery of data insights to measure what consumers buy. Job Description Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues. Support Internal and External Clients with the understanding of Data Science design and methodology. Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions. Work on creating innovative solutions, use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python. Understand Nielsen products and services to suggest innovative solutions for client challenges. Collaborate with other Data Science team units. Automate and develop solutions for existing processes. Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. About You You have dabbled in data. You have perused Python. And you have the communication chops to translate it all into conversation or presentations. While you have worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what is happening in big data and you are ready to influence what is next. Qualifications Professionals with degrees (either Bachelor/Master) in Math's, Data Science, Statistics, or related fields involving statistical analysis of large data sets. 1 year of experience in market research or relevant fields, however, open for fresh graduate. Intermediate levels proficiency with Python Implementation experiences on automation of processes Basic knowledge with data visualization tools (e.g., PowerBi) and mapping tools. Problem-Solving skills Ability to effectively convey complex concepts to non-experts Intellectual curiosity and persistence to find answers to questions Eager to continuously learn and adapt to changing technologies and tools. Good command of written and spoken English. Good collaborative and interpersonal skills to communicate at all levels. Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI) Good to Have Knowledge of Machine Learning /Web scrapping Up to date with technology and active user of eCommerce platforms Familiarity with Atlassian, Git, Bitbucket and Confluence Familiarity with marketing analytics, including designing experiments and consumer behavior analysis. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Company Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com. Job Description The Product Design and Enhancement (PDE) team is responsible for all design-related activities of the Data Science unit at NIQ, setting up the base for Retail Index reporting. The key responsibilities of PDE associate assigned to given market include: Sample Design, Universe Estimation and other design-related projects for the Retail Index Identification of quality risks and follow up on solutions Engagement with stakeholders on scope, execution, data exchange and outcomes for assigned projects Expert-level analysis of results and presentations with insights Team work in virtual multi-country environment requiring effective communication with colleagues located in various countries Usage of dedicated software supported by ad hoc programming and data mining Identification of opportunities for innovations and tools development in the dynamic work environment Analysis of processes within the area of responsibilities with recommendations on improvements Qualifications Essential: Master’s degree in Mathematics, Statistics, Economics, Operations Research or related fields Knowledge of Microsoft Office applications Competency in at least one programming language (Python or R) Organizational skills to manage projects (time management, prioritization, deadlines) Ability to engage and communicate effectively Strong analytical and problem-solving skills Good command of English Eagerness to continuously learn and adapt to changing technologies and tools Preferable: Work experience in FMCG, Market research, consumer research or similar industries Knowledge of statistical inference and survey-based research Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Job Role: Data Scientist Job Type: Full-Time Mode of work: Remote Experience: 6+ Years Key Responsibilities Analyze complex datasets to uncover insights using AI techniques. Build and deploy machine learning, deep learning, and NLP models. Collaborate with teams to understand client needs and deliver AI-powered solutions. Communicate insights clearly to various stakeholders. Continuously refine models for performance and accuracy. Stay current on AI advancements and apply them in real-world scenarios. Contribute to AI tools and infrastructure development. Qualifications Bachelor’s/Master’s in Statistics, CS, Engineering, or related field. 6+ years of experience in IT and 3+ years of hands-on experience in Data Science/AI. Strong expertise in Python (Pandas, NumPy, scikit-learn, Streamlit) and SQL. Experience with ML/DL frameworks (e.g., TensorFlow, PyTorch). Familiarity with Agile methodologies and cloud platforms (AWS, Azure, GCP). Solid communication and problem-solving skills. Knowledge of RAG implementation and AI agents is a plus. Interest or background in Corporate Finance is an added advantage. Show more Show less

Role and responsibilities: Leadership and Mentorship Team Leadership : Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced méthodologies, and carrer development. Project Management : Oversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous Learning : Stay at the forefront of industry trends, new technologies, and méthodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder Engagement : Work closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of Insights : Present complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive Models : Create and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative Research : Conduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis : Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance Metrics : Define and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit Analysis : Perform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm Development : Develop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and Simulation : Conduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. What we're looking for Advanced Statistical Techniques : Expertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AI : Proficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming Languages : Strong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management : Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data Visualization : Proficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud Computing : Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative Analysis : Deep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic Trading : Experience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Requirements : A bachelor's degree in a related field, such as computer science, data science or statistics. Show more Show less

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description: The Future Begins Here: At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity: Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity: As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process. Objectives: Collaborate with different business users, mainly Supply Chain/Manufacturing to understand the current state and identify opportunities to transform the business into a data-driven organization. Translate processes, and requirements into analytics solutions and metrics with effective data strategy, data quality, and data accessibility for decision making. Operationalize decision support solutions and drive use adoption as well as gathering feedback and metrics on Voice of Customer in order to improve analytics services. Understand the analytics drivers and data to be modeled as well as apply the appropriate quantitative techniques to provide business with actionable insights and ensure analytics model and data are access to the end users to evaluate “what-if” scenarios and decision making. Evaluate the data, analytical models, and experiments periodically to validate hypothesis ensuring it continues to provide business value as requirements and objectives evolve. Accountabilities: Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights. Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices. Understands data and sources of data. Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs. Interacts with business users to define pain points, problem statement, scope, and analytics business case. Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries. Works with DevOps and database teams to ensure proper design of system databases and appropriate integration with other enterprise applications. Collaborates with Enterprise Data and Analytics Team to design data model and visualization solutions that synthesize complex data for data mining and discovery. Assists in defining requirements and facilitates workshops and prototyping sessions. Develops and applies technologies such as machine-learning, deep-learning algorithm to enable advanced analytics product functionality. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field. 3+ years of experience with statistical modeling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required Experience in developing and applying predictive and prescriptive modeling, deep-learning, or other machine learning techniques a plus. Hands-on development of AI solutions that comply with industry standards and government regulations. Great numerical and analytical skills, as well as basic knowledge of Python Analytics packages (Pandas, scikit-learn, statsmodels). Ability to build and maintain scalable and reliable data pipelines that collect, transform, manipulate, and load data from internal and external sources. Ability to use statistical tools to conduct data analysis and identify data quality issues throughout the data pipeline. Experience with BI and Visualization tools (f. e. Qlik, Power BI), ETL, NoSQL and proven design skills a plus. Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams. Experience with working with agile teams. WHAT TAKEDA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Health & Wellness programs including annual health screening, weekly health sessions for employees. Employee Assistance Program 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. Li-Hybrid Locations: IND - Bengaluru Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time Show more Show less

Job Title: Data Scientist Location: Work from Office (Hybrid) Job Location: Magarpatta, Pune Shift timing: 11 am to 8 pm Data Scientist: Analyse complex datasets to uncover patterns, trends, and insights that drive strategic business decisions. Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems and improve campaign or operational performance. Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions. Communicate findings and recommendations through visualizations, presentations, and reports tailored to both technical and non-technical audiences. Work with large volumes of structured and unstructured data using tools such as Python, SAS, SQL, and big data platforms.

BRIEF OF JOB PROFILE & ROLE AND RESPONSIBILITIES Your duties as Junior Data Scientist are as follows: Design, develop, test, deploy and maintain BI development projects which will include but not limited to Report and Dashboard development, Statistical Modelling, Machine Learning, Artificial Intelligence. Deliver client presentations, create Data Visualizations, and exhibit Data Storytelling skills. Perform complex development tasks and use the technologies as deemed appropriate for the projects by the Employer. Technologies will include SQL, Power BI, Tableau, Python, R, TensorFlow, Cloud based data intelligence and analytics services and tools like SQL Server Analysis Services (SSAS), Data Bricks, Azure Data Factory, AWS Glue. Work directly or indirectly with clients to understand and define requirements, work with other application development teams on various projects. Work with the team of developers. Take directions well from the Team lead/Architect and work together with him/her to contribute to all development, production, and support activities. Participate and work using Agile methodologies like Scrum and conduct the Scrum events appropriately. other duties as may arise from time to time and as may be assigned to the employee. Ensure and implement the best possible performance, quality, and responsiveness of applications. Work together with the team in development and testing efforts. Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. Exhibit flexible and proactive working style with strong personal ownership of problem resolution. Work to ensure deadlines are met.

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Data Scientist Location: Bangalore Business & Team: BB Advanced Analytics and Artificial Intelligence COE Impact & contribution: As a Senior Data Scientist, you will be instrumental in pioneering Gen AI and multi-agentic systems at scale within CommBank. You will architect, build, and operationalize advanced generative AI solutions—leveraging large language models (LLMs), collaborative agentic frameworks, and state-of-the-art toolchains. You will drive innovation, helping set the organizational strategy for advanced AI, multi-agent collaboration, and responsible next-gen model deployment. Roles & Responsibilities: Gen AI Solution Development: Lead end-to-end development, fine-tuning, and evaluation of state-of-the-art LLMs and multi-modal generative models (e.g., transformers, GANs, VAEs, Diffusion Models) tailored for financial domains. Multi-Agentic System Engineering: Architect, implement, and optimize multi-agent systems, enabling swarms of AI agents (utilizing frameworks like Lang chain, Lang graph, and MCP) to dynamically collaborate, chain, reason, critique, and autonomously execute tasks. LLM-Backed Application Design: Develop robust, scalable GenAI-powered APIs and agent workflows using Fast API, Semantic Kernel, and orchestration tools. Integrate observability and evaluation using Lang fuse for tracing, analytics, and prompt/response feedback loops. Guardrails & Responsible AI: Employ frameworks like Guardrails AI to enforce robust safety, compliance, and reliability in LLM deployments. Establish programmatic checks for prompt injections, hallucinations, and output boundaries. Enterprise-Grade Deployment: Productionize and manage at-scale Gen AI and agent systems with cloud infrastructure (GCP/AWS/Azure), utilizing model optimization (quantization, pruning, knowledge distillation) for latency/throughput trade offs. Toolchain Innovation: Leverage and contribute to open source projects in the Gen AI ecosystem (e.g., Lang Chain, Lang Graph, Semantic Kernel, Lang fuse, Hugging face, Fast API). Continuously experiment with emerging frameworks and research. Stakeholder Collaboration: Partner with product, engineering, and business teams to define high-impact use cases for Gen AI and agentic automation; communicate actionable technical strategies and drive proof-of-value experiments into production. Mentorship & Thought Leadership: Guide junior team members in best practices for Gen AI, prompt engineering, agentic orchestration, responsible deployment, and continuous learning. Represent CommBank in the broader AI community through papers, patents, talks, and open-source. Essential Skills: 6+ years of hands-on experience in Machine Learning, Deep Learning, or Generative AI domains, including practical expertise with LLMs, multi-agent frameworks, and prompt engineering. Proficient in building and scaling multi-agent AI systems using Lang Chain, Lang Graph, Semantic Kernel, MCP, or similar agentic orchestration tools. Advanced experience developing and deploying Gen AI APIs using Fast API; operational familiarity with Lang fuse for LLM evaluation, tracing, and error analytics. Demonstrated ability to apply Guardrails to enforce model safety, explainability, and compliance in production environments. Experience with transformer architectures (BERT/GPT, etc.), fine-tuning LLMs, and model optimization (distillation/quantization/pruning). Strong software engineering background (Python), with experience in enterprise-grade codebases and cloud-native AI deployments. Experience integrating open and commercial LLM APIs and building retrieval-augmented generation (RAG) pipelines. Exposure to agent-based reinforcement learning, agent simulation, and swarm-based collaborative AI. Familiarity with robust experimentation using tools like Lang Smith, GitHub Copilot, and experiment tracking systems. Proven track record of driving Gen AI innovation and adoption in cross-functional teams. Papers, patents, or open-source contributions to the Gen AI/LLM/Agentic AI ecosystem. Experience with financial services or regulated industries for secure and responsible deployment of AI. Education Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 01/07/2025 Show more Show less

We are seeking a passionate and driven Generative AI Engineer to design, develop, and deploy innovative AI applications using Large Language Models (LLMs). The ideal candidate will have hands-on experience with prompt engineering, Python programming, and foundational knowledge of AI orchestration frameworks like LangChain and LangGraph. Experience with the Model Context Protocol (MCP) is a significant advantage. You will work closely with senior AI engineers and cross-functional teams to bring cutting-edge generative AI solutions to life Role & responsibilities Generative AI Application Development: Design, build, and deploy AI applications leveraging LLMs for various use cases such as RAG (Retrieval-Augmented Generation) based chatbots, intelligent agents, content generation, and more. Prompt Engineering: Develop, test, and optimize advanced prompt engineering techniques (e.g., few-shot, Chain-of-Thought, ReAct) to enhance LLM performance, accuracy, and user experience. LLM Orchestration with LangChain & LangGraph: Utilize LangChain and LangGraph to build robust, stateful, and multi-agent AI systems, managing complex conversational flows and integrating external tools and data sources. Python Development: Write clean, efficient, and well-documented Python code for AI model integration, data preprocessing, API development, and general application logic. Model Context Protocol (MCP): Implement and leverage MCP for seamless interaction between LLMs and external systems, ensuring efficient context management and secure communication (if applicable to project needs). Model Evaluation & Testing: Assist in evaluating the performance of generative AI models, defining relevant metrics, and conducting rigorous testing to ensure reliability and effectiveness. Collaboration: Work collaboratively with data scientists, machine learning engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Research & Innovation: Stay updated with the latest advancements in generative AI, LLMs, and related frameworks, and actively experiment with new approaches to improve existing solutions. Deployment & MLOps (Basic): Contribute to the deployment of AI models and understand basic MLOps practices for model versioning, monitoring, and continuous improvement. . Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related quantitative field. 1-3 years of hands-on experience in machine learning, software development, or data science, with exposure to AI/ML projects. Strong proficiency in Python programming and familiarity with relevant libraries (e.g., NumPy, Pandas). Proven experience with LangChain for building LLM-powered applications and chaining together various components. Familiarity with LangGraph for orchestrating complex, stateful multi-agent workflows. Hands-on experience with prompt engineering and optimizing prompts for LLMs. Understanding of Large Language Models (LLMs) and their underlying concepts. Experience or strong understanding of Model Context Protocol (MCP) for connecting LLMs with external tools and data sources. Excellent problem-solving skills and a proactive approach to challenges. Strong communication and interpersonal skills, with the ability to articulate technical concepts clearly.) Preferred Skills : Experience with cloud platforms (Azure, AWS, GCP) for deploying AI/ML solutions. Microsoft Certified: Azure AI Engineer Associate (AI-102) or similar AI/ML certification. Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS). Experience with deep learning frameworks such as TensorFlow or PyTorch. Knowledge of Natural Language Processing (NLP) techniques beyond LLMs. Experience in building conversational AI systems or chatbots

JOB DESCRIPTION Title: Senior Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). ¢ Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments we'll versed with JIRA or equivalent project tracking tool Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces - vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc) to their real-world problems Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc Use latest advancements in AI/ML to solve business problems Examine problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed Develop or optimize modules to call web services for real time integration with external systems Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects What you'll have: Experience: 2+ Years Experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field Languages: Python and/or R for Data Science, SQL Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing Characteristics: Strong presentation and communications skills we'really value team spirit: Transparency and frequent communication is key At o9, this is not limited by hierarchy, distance, or function What we'll do for you: Competitive salary Tech tools: Complementary PC laptop Flexibility: Work from home two days a week Get up a bit later, skip the commute and put the time back into your deadlines Get social: When we work from home, we play from home with fun after-work activities like Social Fridays If you're in the office, feel free to join these events in person Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Support network: Work with a team you can learn from and every day Diversity: We pride ourselves on our international working environment

Get to know the team GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers. The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real-time Data Science use cases. You will have experience with technology and data science. You will be reporting to Senior Manager, Data Science. This role is onsite based in Bangalore. Youll develop credit risk scoring models for consumer loans, including PD, LGD, and collection models. Youll work with alternative data sources to boost model signal and accuracy. Your role will involve full ownership of the end-to-end model lifecycle from building and validation to deployment and maintenance. Youll collaborate with business, risk, and operations teams to shape solutions and influence product strategy with your insights. This is an individual contributor role suited for professionals with 8+ years of experience. The Critical Tasks You Will Perform Build predictive models using a mix of machine learning and traditional analytics methods to segregate between Good vs Bad borrowers Build Machine learning & Deep learning models to estimate losses from of a given portfolio. Validate models on new datasets, based on in-market performance. Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. Drive model governance by collaborating with risk policy, compliance, and audit teams to ensure adherence to regulatory expectations. Identify model gaps or performance drifts and lead model refresh cycles. Present findings to senior leadership with clear articulation of risk trade-offs and growth. Translate model insights into strategic recommendations (e.g., policy changes, pricing levers, customer targeting strategies). Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. Read more Skills you need The Essential Skills You Need 8+ years of experience. Deep domain expertise in credit risk modelling across PD, LGD, EAD, and collections Prior experience working in FinTech/credit businesses, especially in digital lending or unsecured loan portfolios Experience applying data science to credit underwriting, risk segmentation, and portfolio management Experience with credit business - lifecycle of a loan, collections process, and credit KPIs like NPL, ECL. Expert in building machine learning and predictive models in Python and Spark is an absolute must. SQL, Presto, Hive proficiency. Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines Experience with LLMs, and Generative AI Experience with model deployment pipelines - using MLFlow, Airflow, or other MLOps tools. Demonstrated experience building machine learning models Understand the trade-offs between model performance and our needs. Mindset is critical for success in this role. Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #LI-DNI Read more

Prior Experience in Demand Planning/Forecasting in Product Based/Consultancy organizations. Statistical Forecasting techniques (Time series, Holts Winter, Regression analysis, ARIMA, ARIMAX etc.) Good communication and presentation skills. R /Python, Machine Learning Techniques (Random Forest/Decision Trees, Deep Learning). Visualization skills: Power BI/Tableau would be preferable. Database: MS SQL/Oracle SQL. Exposure to Cloud solutions like AWS/Microsoft Azure will be an added advantage. Ability to design analytics solutions, simulation, and modelling to address business problems.

3 to 6 years of experience in building Analytical solutions. About the company: Online PSB Loans, is a revolutionary digital credit infrastructure company that develops and integrates cutting-edge technology to automate and digitize lending for both borrowers and lenders. The company addresses the challenges of credit distribution to MSMEs and retail borrowers. With a view to expanding its digital footprint and utilizing its infrastructure, the company is diversifying into several industry segments. Role: - Sr. Data Scientist This role serves to build analytics-led solutions for the company s customers (Bankers, MSMEs, and Individuals) and key stakeholders (Senior Management, Business Development, Marketing, etc.) within the company. Exhibits robust skills in building innovative analytical solutions enabling data-driven, informed business decisions. Analyse a large amount of information to discover trends and patterns. Proactively come up with innovative ways to build and deploy analytical solutions. Work with cross-functional teams to drive Analytical tools in ongoing processes & programs. Min. University degree Master s in computer science Statistics, Mathematics (or other relevant) Technical Skills Hands-on experience in building predictive models, and machine learning algorithms & putting them into production. Strong knowledge of machine learning fundamentals, linear algebra, probability, and statistics. Proficient in Python and SQL and familiarity with machine learning frameworks, matrices, and data visualization libraries. Experience in web scraping, extracting, manipulating, and analyzing multidimensional data (Structured & Unstructured) from varied sources. Experience in Deep Learning, NLP, and cloud-based systems (Spark, Amazon EC2) 3 to 6 years of experience in building Analytical solutions. Experience in the finance industry / Fintech. Skills Presentation skills Effective Written Communication Drive for Results Standing Alone & Proactive Mandatory Skills Proficiency in Python, SQL, hands-on experience in building machine learning models (Logistic Regression, Xgboost, Random forest, etc.,)/Deep learning/NLP and deploying it into production (at least one industry experience in building ML models) Good to have Experience in credit risk modeling, experience in fintech, PySpark, and AWS SageMaker. If you believe that the future lies in innovation and have the ability to come up with ideas that are unconventional in the fintech space, you can apply to be a part of the OPL team.

Core Responsibilities 1. Project Leadership & Strategy Define, initiate, and drive AI/ML projects aligned to business goals. Lead project lifecycle: data ingestion, modeling, evaluation, deployment, and monitoring. Mentor and guide junior data scientists; review code, models, and analyses. Evangelize data science best practices and metrics across the organization. 2. Data Management & Feature Engineering Acquire, clean, and integrate large, complex datasets from multiple sources. Perform EDA, identify data trends, biases, and quality issues. Engineer robust features and reduce dimensionality for scalable modeling. 3. Modeling, Tuning & Validation Design and implement ML models (classical, ensemble, deep learning, NLP, CV) using Python, R, TensorFlow, PyTorch, or scikit-learn. Tune hyperparameters and optimize performance through techniques like cross-validation, A/B testing, and drift analysis. Ensure models adhere to fairness, ethics, privacy standards (e.g., GDPR, HIPAA). 4. Deployment & MLOps Collaborate with engineering to containerize and deploy models via APIs or microservices. Develop CI/CD pipelines, manage model versioning and monitor production performance and drift. 5. Visualization & Communication Build dashboards and visual reports to convey insights to non-technical stakeholders. Clearly communicate technical outcomes and business relevance in presentations and written reports. 6. R&D & Innovation Stay current with new AI/ML research, frameworks, and apply cutting-edge techniques. Experiment with novel methods (e.g., generative AI, transformers) and integrate improvements into production systems. Technical Skills & Tools Languages - Python, R, (Java/Scala for production) ML Frameworks - scikit-learn, TensorFlow, PyTorch, Keras Big Data & MLOps - Spark/Hadoop, Docker, Kubernetes, AWS SageMaker/Azure ML Databases - SQL, NoSQL, ETL pipelines Visualization BI - Tableau, Power BI, matplotlib, seaborn Version Control / CI - Git, MLflow, Jenkins (engineering collaboration) Soft Skills & Leadership Mentorship & Collaboration: Guides junior staff and collaborates with multi-disciplinary teams. Communication & Influence: Translates technical insights into actionable business decisions. Critical Thinking & Ethical Awareness: Applies domain knowledge and ethical responsibility to model development. Innovation & Learning Mindset: Pursues advanced methods and continuous improvement. Project Management: Balances project scope, milestones, and delivery timelines. Experience & Qualifications Education: Master s or PhD in Data Science, Computer Science, Statistics, or related fields. Experience: 5+ years in data science or ML, with a proven track record of delivering models into production. Domain Expertise: Preferred in finance, healthcare, marketing, or cybersecurity. Certifications: IAMML, TensorFlow Developer, AWS/Azure ML certifications are a plus.

The Senior Data Scientist's primary responsibility is to lead the delivery of multiple analytics projects and tools within the Retail domain, ensuring high-quality analytical solutions while managing and mentoring junior team members. This role requires collaborating with stakeholders across multiple teams to transform complex business questions into actionable analytical solutions while maintaining technical excellence and commercial impact. How will you make an impact? Technical Leadership: Lead the analytics quality and delivery of key projects, ensuring alignment on outputs and timelines with stakeholders Data Analytics: Perform sophisticated data exploration and develop efficient code for complex data transformations Solution Design: Transform client questions into analytical solutions through project scoping and solution design Commercial Translation: Connect analytical outputs to business outcomes and communicate insights to both technical and non-technical audiences Team Development: Mentor junior team members and actively participate in knowledge sharing initiatives Process Excellence: Identify and implement improvements in analytical workflows and coding practices The superpowers youll be bringing to the team: Analytics Mastery: Over 4 years of experience in a highly technical analytics environment, with strong coding skills in SQL, Python, and Snowflake, and expertise in handling large datasets to solve commercial business problems. Commercial Insight: Strong commercial acumen to understand business needs and suggest impactful analytics solutions, with experience in transforming client questions into actionable insights. Leadership Excellence: Proven experience in supervising and leading teams as a senior team member, project manager, or team leader, with a strong track record of managing internal and external stakeholders in dynamic, deadline-driven environments. People Development: Passionate about people management, mentoring, and development, with a keen interest in fostering team growth and success. Educational Foundation: Strong academic background with tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline.

Job Description & Responsibilities 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 modelling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Qualification, Skills & Experience Good hands-on experience in Advanced Python Programming Experiences in scalable Microservice Architecture and Development Good understanding of API Development, Messaging Queues and Asynchronous Task Management Basic DevOp skills and working with Docker Experience with LangChain, LangGraph, AutoGen or CrewAI are a big plus Ability to co-work in a small team with different locations Ability to learn and understand a new Python framework Show more Show less

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization. Role & responsibilities 1. Data Exploration and Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs. Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data. Develop meaningful KPIs and metrics tailored to business objectives. 2. Advanced Modeling and Machine Learning: Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms. Evaluate model performance and ensure scalability and reliability in production. Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems. 3. Data Engineering and Automation: Build and optimize scalable ETL pipelines for data processing and feature engineering. Collaborate with data engineers to ensure seamless integration of data science solutions into production environments. Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage. 4. Data Visualization and Storytelling: Communicate complex analytical findings effectively through intuitive visualizations and presentations. Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly). Translate data insights into actionable recommendations for stakeholders. 5. Cross-functional Collaboration and Innovation: Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions. Stay updated with emerging technologies and best practices in data science, machine learning, and AI. Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches. Preferred candidate profile Proficiency in Python, R, or other data science programming languages. Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch). Advanced SQL skills for querying and managing relational databases. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure. Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI. Analytical and Problem-solving Skills: Expertise in statistical modeling, hypothesis testing, and experiment design. Strong problem-solving skills to address business challenges through data-driven solutions. Ability to conceptualize and implement metrics/KPIs tailored to business needs. Soft Skills: Excellent communication skills to translate complex technical concepts into business insights. Collaborative mindset with the ability to work in cross-functional teams. Proactive and detail-oriented approach to project management and execution. Education and Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, advanced analytics, or a similar field. Proven track record of deploying machine learning models in production environments. Perks & Benefits Best as per market standard. Work from home opportunity. 5 days working. Shift Timing 2PM-11PM IST (Flexible hours)

Job Title: Data Scientist – Renewable Energy Location: Gurugram Experience Required: 1–3 years Preferred Educational Background: Tier 1 Engineering Colleges 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 7976457434 𝐬𝐮𝐫𝐞𝐬𝐡.𝐛@𝐬𝐲𝐧𝐚𝐩𝐨𝐧𝐞.𝐜𝐨𝐦 About the Role We are seeking a passionate and skilled Data Scientist to join our team in driving data-led innovation within the renewable energy sector . The selected candidate will play a pivotal role in developing advanced forecasting models, automating data workflows, building scalable data pipelines, and utilizing Generative AI to enhance decision-making and operational efficiency. Key Responsibilities Develop and deploy machine learning models for power generation forecasting, asset performance prediction, and anomaly detection Build and maintain automation scripts for data extraction, transformation, and reporting using Python, Selenium, and web scraping tools Design, develop, and integrate REST APIs to enable seamless data flow across internal and external systems Deliver end-to-end data science solutions , from requirement gathering and PRD creation to model deployment and performance monitoring Leverage Generative AI for report generation, development of chatbot interfaces, and document summarization Collaborate with domain experts and stakeholders to identify high-impact use cases and convert them into actionable data science initiatives Monitor, evaluate, and fine-tune model performance and maintain technical documentation Work with large, complex datasets from SCADA systems , energy meters, weather data sources, and market exchanges Key Skills Required Strong programming skills in Python with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch Proficiency in Machine Learning and Time-Series Forecasting methods Practical experience with web scraping tools like Selenium and BeautifulSoup Sound understanding of API development and integration best practices Experience in developing and maintaining automated data pipelines ; familiarity with Git and basic DevOps tools Excellent analytical and problem-solving abilities, with strong communication skills to articulate technical concepts to non-technical audiences Preferred Qualifications B.Tech/B.E. from a recognized Tier 1 engineering institution 1–3 years of hands-on experience in data science, machine learning, or analytics roles Exposure to or a strong interest in the renewable energy domain—solar, wind, grid operations, or energy trading Familiarity with dashboarding tools such as Power BI or Tableau (preferred, not mandatory) Show more Show less

Senior Data Scientist Enterprise Analytics Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. About the Role In this opportunity as Senior Data Scientist, you will: Engage with stakeholders, business analysts and project team to understand the data requirements. Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing. Design analytical frameworks to provide insights into a business problem. Explore and visualize multiple data sets to understand data available and prepare data for problem solving. Build machine learning models and/or statistical solutions. Build predictive models, generative AI solutions. 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. About You You're a fit for the role of Senior Data Scientist if your background includes: Experience- 6-8 Years in the field of Machine Learning & AI Must have a minimum of 3 years of experience working in the data science domain Degree preferred in a quantitative field (Computer Science, Statistics, etc.) Both technical and business acumen is required Technical skills Proficient in machine learning, statistical modelling, data science and generative AI techniques Highly proficient in Python and 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 Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POCs in building Generative AI solutions (GPT, Llama etc.,) Hands on with Prompt Engineering Experience in Customer Service, Finance, Sales and Marketing Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake extensively. Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Consulting Experience with a premier consulting firm. #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.

Requirements: Bachelors or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python, R, or a similar programming language. Experience with SQL and data querying from relational databases. Strong foundation in statistics, machine learning, and data modeling. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Excellent problem-solving and communication skills.