1342 Data Scientist Jobs - Page 9

Role: AIML Engineer Experience: 2 to 8 Yrs Notice period: 0- 10 Days Job Location: Hyderabad and Bangalore. (Hybrid) Job Description: Strong proficiency in Python for AI/ML development. Hands-on experience with OpenAI, GPT models, and LangChain or LlamaIndex. Deep understanding of Retrieval-Augmented Generation (RAG) concepts and implementations. Familiarity with vector databases like FAISS, Pinecone, or Weaviate. Good knowledge of data engineering principles (ETL, data modeling, batch/streaming pipelines). Experience with cloud platforms (Azure, AWS, or GCP) for deploying AI/ML solutions. Proficient in tools like Pandas, NumPy, Scikit-learn, and MLflow. Exposure to LLMOps, model versioning, and monitoring is a plus.

Job Responsibility: Products.looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver AI/ML based Enterprise Software Products. • Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs. • Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems. • Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality. • Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements. • Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders. Work experience background required: • Experience building software from the ground up in a corporate or startup environment. Essential skillsets required: • 3-6 years experience in software development • Educational Background: Strong computer science and Math/Statistics • Experience with Open Source LLM and Langchain Framework and and designing efficient prompt for LLMs. • Proven ability with NLP and text-based extraction techniques. • Experience in Generative AI technologies, such as diffusion and/or language models. • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud environment. • Experience with common data science toolkits, such as NumPy, Pandas etc • Proficiency in using query languages such as SQL • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Experience working with large data sets along with data modeling, language development, and database technologies • Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. • Excellent verbal and written communication skills

opening for data scientist *experience in team handling *solid understanding of deep learning, machine learning *Familiar with python, SQL, machine learning and algorithm contact:6380878009/hrrecruiter.istarbs@gmail.com

🚀 Our Client is Hiring: Data Scientist (Fresher – 1 Year Experience) 📍 Location: Pune (Onsite for the first 6 months) We are excited to share that our client is looking for aspiring Data Scientists to join their team! If you’re a fresher or have up to 1 year of experience , this is a great opportunity to kickstart your career in the world of data and analytics. You’ll be working on impactful projects, gaining hands-on experience, and collaborating with industry professionals—all while being part of a supportive and growth-oriented environment. 🔍 Ideal Candidate Profile: 0–1 year of experience in Data Science, ML, or related fields Strong grasp of Python, SQL statistics, and data analysis Eagerness to learn and grow in a fast-paced setup Open to working from the Pune office for the initial 6 months 📄 Apply Now: Fill out this short form to apply: https://forms.gle/yxKs8kzwMKXBLUgm6 Know someone who fits the bill? Tag them or share this post! #Hiring #DataScience #FresherJobs #ClientHiring #PuneJobs #TechCareers #DataScientist #MachineLearning #EntryLevelJobs Show more Show less

JOB SUMMARY This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. RESPONSIBILITIES Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. QUALIFICATIONS Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager - Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Procurement Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous Work Experience Required Minimum 3 years of relevant experience Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning , NLP using Python Solid understanding of GenAI concepts and experience in Prompt Engineering and RAG Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization Good To Have Preferred industry exposure in CPG and experience of working in the domain of Procurement Analytics Product building experience would be a plus Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Experience with Airflow for orchestrating and automating workflows Familiarity with MLOPS and containerization tools like Docker would be plus. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers Show more Show less

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a Data Scientist you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA). You will be part of one or several multi-disciplinary agile teams where you’ll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from a great variety of data sources. To achieve this, you will proactively identify needs, design and implement analytical solutions, provide advice and consulting support to our key stakeholders and show impact by executing proof-of-value initiatives, or contributing to existing products. As a Data Scientist you will: Apply your expertise in NLP/LLM to develop and refine models that address Roche business needs. Involved in building and fine-tuning models and optimising their performance to provide valuable insights and solutions to business stakeholders Support prioritisation efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders. Provide methodical and implementation guidance as well as hands-on support around analytical LLM/NLP use cases. Evaluate the pros & cons of different NLP approaches and Generative AI platforms with comprehensive quantitative and qualitative analysis Communicate findings and market the value of use cases to key stakeholders Contribute to positioning data science as a key competency within the enterprise Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different specialties Be a role model for knowledge sharing within the DnA chapter. Act as a coach, mentor, or buddy to help colleagues grow and develop Qualifications M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree and experience with machine learning/data mining/artificial intelligence. Experience of working as a hands-on data scientist in pharmaceutical industry is preferred Hands-on experience with Python programming and common NLP libraries (e.g., transformers, gensim, spaCy, etc.) Familiarity with essential frameworks (e.g. PyTorch) and infrastructure components (Docker, GPU) for training, fine-tuning and evaluating NLP tasks Experience in using both open source (e.g. HuggingFace) and closed source LLM models with different deep learning architectures Experience implementing RAG, working with knowledge databases and using LLM through APIs Good knowledge of effective training and optimising language models to fit for internal infrastructure and ensure seamless integration Familiarity with best practices for code generation, code documentation, data security, and compliance in cloud-based data science workflows Proven experience to add value and insight by providing advanced analytical solutions Data storytelling skills and using visualisation tools to communicate data and results with a non-technical audience International, goal oriented mindset with can do attitude Fluency in written and spoken English Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer. Show more Show less

Responsibilities: * Develop predictive models using Python, Sql, NumPy, Pandas & ML algorithms * Collaborate with cross-functional teams on data analysis projects * Optimize database queries for performance improvement Office cab/shuttle

Understand business objectives and translate them into data and machine learning requirements Identify what data is needed to support specific AI use cases and assess its availability, quality and structure Explore and profile data from various sources to evaluate its suitability and uncover biases, gaps or integration challenges Visualising data and analytical results using tools such as Power BI, with the ability to create insightful dashboards for both technical and non-technical audiences. Collaborate with data owners and engineers to locate, access and prepare data for experimentation and model development Work closely with product teams to define success metrics and ensure data can support reliable measurement and evaluation Support the design of data flows and contribute to ingestion and preparation strategies that align with modelling needs Translate insights from data exploration and model experimentation into clear actionable recommendations Contribute to best practices related to data validation, model documentation and governance of analytical workflows Collaborate with ML engineers and AI architects to assess modelling options and design evaluation strategies Stay up to date with developments in AI and machine learning and actively share insights with the wider team Qualification Your starting point for constant growth From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is: A master’s degree in data science, computer science, statistics, applied mathematics or a related field Strong experience in applied data science or machine learning, with an emphasis on data readiness and problem framing Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow or PyTorch) Demonstrated ability to explore, profile and assess complex data sets to determine their value for ML solutions Experience working with business stakeholders to translate objectives into data needs and analytic plans Understanding of how data flows from source systems into models, and experience partnering with data engineers to build effective pipelines Excellent communication skills, with the ability to explain and visualize data-related concepts to non-technical audiences Fluency in English Additional Information We offer: Competitive salary and benefits package. Opportunities for professional growth and development. Flexible work environment and work-life balance. A multi-cultural work environment Personal qualities that will help you succeed in this role include: Ability to collect and analyse data, establish facts and make recommendations in written and verbal form. Ability to explain and translate complex, technical IT requirements into material understandable for non-IT staff. Ability to liaise with all parts of an organisation, including IT and business stakeholders. Open-minded and helpful and, finally, a good portion of self-awareness and humour.

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

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 3+ years' experience in technology roles. Must have a minimum of 1 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 What’s in it For You? Hybrid Work Model: We’ve 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 tomorrow’s 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 values: Obsess 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. About Us 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 exciting? Join 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.

Job Overview We are looking for a dynamic and innovative Full Stack Data Scientist with 2+ years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain. Key Responsibilities 1. Data Engineering & Preprocessing Collect, clean, and preprocess structured and unstructured data from various sources. Perform advanced feature engineering, outlier detection, and data transformation. Collaborate with data engineers to ensure seamless data pipeline development. 2. Machine Learning Model Development Design, train, and validate machine learning models (supervised, unsupervised, deep learning). Optimize models for business KPIs such as accuracy, recall, and precision. Innovate with advanced algorithms tailored to marketing technologies. 3. Full Stack Development Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django. Develop scalable and modular code for data processing and ML integration. 4. Deployment & Operationalization Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes. Implement continuous monitoring, logging, and retraining strategies for deployed models. 5. Insight Visualization & Communication Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools. Present insights and actionable recommendations to stakeholders effectively. 6. Collaboration & Teamwork Work closely with marketing analysts, product managers, and engineering teams to solve business challenges. Foster a collaborative environment that encourages innovation and shared learning. 7. Continuous Learning & Innovation Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics. Identify new opportunities for leveraging data science in MarTech solutions. Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus. ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost. Big Data Tools: Spark, Hadoop, or Kafka. Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines. Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra). Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js. Version Control: Proficiency with Git for collaborative coding. Experience 2+ years of hands-on experience in data science, machine learning, and software engineering. Proven expertise in deploying machine learning models in production environments. Experience in handling large datasets and implementing big data technologies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and storytelling skills for technical and non-technical audiences. Ability to work collaboratively in diverse and cross-functional teams. Preferred Qualifications Experience with Natural Language Processing (NLP) and Computer Vision (CV). Familiarity with CI/CD pipelines and DevOps for ML workflows. Exposure to Agile project management methodologies. Why Join Us? Opportunity to work on innovative projects with cutting-edge technologies. Collaborative and inclusive work environment that values creativity and growth. If you're passionate about turning data into actionable insights and driving impactful business decisions, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Experience: Data science: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person

Job Description : True North Marine is hiring a Data Scientist to develop predictive models using voyage data and marine engineering insights. You'll be part of a team working on real-world challenges in vessel performance and maritime optimization. What You’ll Do : Build scalable ML models Visualize and analyze maritime data Integrate engineering principles into data science workflows Collaborate on dashboards and UI development Skills Required : Python, ML/NN frameworks Data Visualization (matplotlib, Plotly, etc.) Marine engineering knowledge preferred Strong communication and teamwork Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Monday to Friday Education: Bachelor's (Required) Experience: Python, ML/NN frameworks: 2 years (Required) Data Visualization (matplotlib, Plotly, etc.): 1 year (Preferred) Language: English (Preferred) Work Location: In person

Job Title: Data Scientist – Financial Analytics Location: Onsite – Okhla Vihar, New Delhi Experience: 2-3 Years About the Role: We are seeking a passionate and results-driven Data Scientist to join our analytics team at our Okhla Vihar office. This role is ideal for someone with 2–3 years of hands-on experience in applying data science techniques to financial datasets, with a strong foundation in Python, SQL, and time series forecasting. You will play a key role in analyzing complex financial data, building predictive models, and delivering actionable insights to support critical business decisions. Key Responsibilities: Analyze large volumes of structured and unstructured financial data to extract meaningful insights. Build and evaluate predictive models using machine learning techniques (e.g., Scikit learn). Perform time series analysis and forecasting for financial indicators (e.g., market trends, portfolio performance, cash flows). Design and implement robust feature engineering pipelines to improve model accuracy. Develop risk modeling frameworks to assess financial risk (e.g., credit risk, market risk). Write complex and optimized SQL queries for data extraction and transformation. Leverage Python libraries like Pandas, NumPy, and SciPy for data preprocessing and manipulation. Create clear and insightful data visualizations using Matplotlib, Seaborn, or Plotly to communicate findings. Work closely with finance and strategy teams to translate business needs into data-driven solutions. Monitor and fine-tune models in production to ensure continued relevance and accuracy. Document models, assumptions, and methodologies for auditability and reproducibility. Required Skills & Experience: 2–3 years of experience as a Data Scientist, preferably in a financial services or fintech environment. Proficient in Python (Pandas, Scikit-learn, NumPy, SciPy, etc.). Strong experience in SQL for querying large datasets. Deep understanding of time series modeling (ARIMA, SARIMA, Prophet, etc.). Experience with feature selection, feature transformation, and data imputation techniques. Solid understanding of financial concepts such as ROI, risk/return, volatility, portfolio analysis, and pricing models. Exposure to risk modeling (credit scoring, stress testing, scenario analysis). Strong analytical and problem-solving skills with attention to detail. Experience with data visualization tools – Matplotlib, Seaborn, or Plotly. Ability to interpret model outputs and convey findings to both technical and non technical stakeholders. Excellent communication and collaboration skills. Preferred Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Experience working with financial time series datasets (e.g., stock prices, balance sheets, trading data). Understanding of regulatory frameworks and compliance in financial analytics. Familiarity with cloud platforms (AWS, GCP) is a plus. Experience working in agile teams. What We Offer: Competitive salary and performance incentives Onsite role at a modern office located in Okhla Vihar, New Delhi A collaborative and high-growth work environment Opportunities to work on real-world financial data challenges Exposure to cross-functional teams in finance, technology, and business strategy How to Apply: If you’re excited to work at the intersection of data science and finance, and want to be part of a dynamic team solving real-world financial challenges, we’d love to hear from you. Please send your resume, portfolio (if applicable), and a brief note about why you're a great fit to [your email/HR contact here]. Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Morning shift Work Location: In person

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

We are looking for a ‘Data Scientist’ to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You – experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Job Summary: We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Key Responsibilities: Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization. Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Must-Have Skills & Qualifications: Minimum 4 years of professional experience in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation & Automation: Alteryx, Trifacta, KNIME AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn Workflow Orchestration: Apache Airflow, Prefect Preferred Qualifications: Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads. To apply, please send your resume to sooraj@superpe.in or shreya@superpe.in SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you! Show more Show less

About the Role At Uber, we empower people to earn and transact on the platform and to do this across the globe for millions of customers, we need to be compliant with local regulations and manage the risk that is associated with fraud losses. The Risk Intelligence team is responsible for keeping the platform safe from fraud losses while minimizing friction to legitimate customers. This team drives scalable solutions to address latest modus operandi driving losses while ensuring frictionless experience for legitimate users. We aim to maintain losses below the target and create magical customer experiences by leveraging data and technology to capture insights, identify opportunities, and ultimately prioritize product and engineering initiatives .Does this sound exciting to you? Are you a tested teammate, strategic problem solver, and executor? We want to hear from you. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Own the loss metrics for the assigned line of business/Region and design logics and scalable solutions to mitigate fraud causing modus operandi Own new risk solution and related experimentation including plan creation, roll-out, and monitoring Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues Develop and track metrics and reporting functions to measure and monitor risk products on our platform Effectively and proactively communicate insights and drive projects to drive towards team goals Proactively seek out opportunities to build new solutions to tackle Risk ---- Basic Qualifications ---- SQL mastery. Write efficient and complex code in SQL Experience in Python/R and experimentation, A/B testing, and statistical modelling Proven ability to handle and visualise large datasets, explore and utilize raw data feeds A well-organized, structured approach to problem-solving Strong sense of ownership, accountability, and entrepreneurial spirit Great communicator, problem-solver & confident in decision making Enthusiastic, self-starting and thrives in changing, agile environments Liaise with Product and engineering counterparts to launch and impact new products ---- Preferred Qualifications ---- Experience in Risk in a Product / Tech company Love of data - you just go get the data you need and turn it into an insightful story. Independent & autonomous, while still a strong teammate Show more Show less

Job Summary This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications : Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Masters degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Data Scientist (Cloud Management, SQL, Building cloud data pipelines, Python, Power BI, GCP) Job Summary UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities: Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

Job: Project Scientist III (Data Analyst) Apply here Project title : NDMC Phase II: Developing Models to Estimate and Project Disease Burden to Inform Control and/or Elimination Strategies for Priority Diseases in India About the project: IIT Bombay is the anchor organization of the National Disease Modelling Consortium (NDMC). The consortium partners with various institutions in the country for disease modelling work. The objective of the project is to address policy and programmatic questions through India-specific disease models, to improve disease control and intervention strategies in the country. More information about the consortium can be found at www.ndmconsortium.com Essential Qualifications & Experience: PhD in data sciences with minimum 2 years relevant experience / MSc data sciences with 5 years experience OR PhD in Computer Engineering or any other engineering / MTech Data science, Computer science, Statistics or related field with minimum 3 years relevant experience/ BTech/BE/BDes or equivalent engineering degree with minimum 5 years of experience Desirable experience At least 8-10 years of experience in data science, with a proven track record in managing and supervising data science teams. Strong proficiency in R and Python for data analysis and modeling, along with extensive SQL skills for database management. Comprehensive understanding of Azure/cloud-based server and database development, with demonstrated experience in implementing cloud solutions Exceptional analytical abilities and familiarity with statistical techniques relevant to data interpretation. Experience with data visualization tools, such as Tableau and Power BI. Strong leadership, critical thinking, and problem-solving skills, with the ability to work collaboratively across teams. Job Profile: Lead and mentor a team of data scientists, facilitating collaboration, knowledge sharing, and professional growth to achieve project goals. Oversee the design and implementation of efficient database schemas and structures, ensuring optimal performance and scalability while maintaining data integrity and security. Guide the development, maintenance, and optimization of databases that support data storage and retrieval processes, including executing complex SQL queries for data manipulation. Drive the development of advanced data analysis and modeling, utilizing programming languages such as R and Python. Manage ETL (Extract, Transform, Load) processes to ensure data is prepared for analysis and reporting efficiently. Hands on experience working with data systems and platforms such as Azure Data Factory, Azure Storage, Data Lake, Azure Synapse, Databricks or similar Solid understanding of Cloud based data management, data analytics principles and tools Promote the use of data visualization tools (such as Tableau and Power BI) to communicate effectively and enhance understanding across the organization. Clearly communicate complex methodologies, findings, and analytical results to multidisciplinary teams and external partners. Contribute to the preparation of comprehensive research reports and presentations. Pay Details: Consolidated salary 78,000+HRA (if applicable) p.m. Show more Show less

Position Title: Data Scientist Location: Gurugram Experience: 3–4 Years Job Type: Full-Time Company: Sequifi | www.sequifi.com About the Role We are hiring a Data Scientist with 3–4 years of experience who has a strong foundation in data analysis, machine learning, and business problem-solving. This role is ideal for someone who is hands-on with modern tools and techniques, eager to explore new technologies, and enjoys working in a collaborative, fast-paced environment. Key Responsibilities Analyze complex datasets to uncover patterns, trends, and actionable insights. Build, validate, and deploy machine learning models for predictive analytics, classification, and clustering. Design and maintain efficient data pipelines and ETL processes. Create clear, interactive dashboards and reports using tools such as Power BI, Tableau, or Python visualization libraries. Collaborate with product managers, developers, and business analysts to understand requirements and deliver data-driven solutions. Conduct A/B testing and statistical analysis to support product decisions and optimizations. Continuously improve model performance based on feedback and business objectives. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 3–4 years of experience in data science or a similar role. Strong programming skills in Python (Pandas, NumPy, Scikit-learn), SQL, and familiarity with PHP or Node.js. Hands-on experience with data visualization tools such as Power BI or Tableau. Good understanding of machine learning algorithms, data preprocessing, and feature engineering. Experience working with structured and unstructured data, including NoSQL databases like MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Soft Skills Strong analytical and problem-solving abilities. Effective communication and data storytelling skills. Ability to work independently as well as collaboratively in cross-functional teams. A mindset geared toward innovation, learning, and adaptability. Why Join Us Work on meaningful and challenging problems in a tech-focused environment. Join a young, supportive, and fast-moving team. Gain exposure to a combination of data science, product, and engineering. Opportunity to learn and grow continuously in a culture of innovation. If you’re passionate about using data to drive business impact, we’d love to hear from you. Apply now and grow with us at Sequifi. Show more Show less

Job Responsibilities: Development of AI/ML models and workflow to apply advanced algorithms and machine learning Enable team to run an automated design engine Creates design standards and assurance processes for easily deployable and scalable models. Ensure successful developments: Be a technical leader through strong example and training of more junior engineers, documenting all relevant product and design information to educate others on novel design techniques and provide guidance on product usage CI/CD Pipeline (Azure Devops/Git) integration as Code repository. Minimum Qualifications (Experience And Skills) 5+ years of Data science experience A strong software engineering background with emphasis on C/C++ or Python 1+ years of experience in AWS Sagemaker Services Exposure to AWS lambda ,API Gateway, AWs Amplify & AWS Serverless , AWS Cognotio, AWS Security Experience in debugging complex issues with a focus on object-oriented software design and development Experience with optimization techniques and algorithms Experience developing artificial neural networks and deep neural networks Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams Ability to communicate and document design work with clarity and completeness Previous experience working on machine learning projects. Team player with a strong sense of urgency to meet product requirements with punctuality and professionalism Preferred Qualifications Programming Experience in Perl / Python / R / Matlab / Shell scripting Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs Knowledge of data management fundamentals and data storage principles Knowledge of distributed systems as it pertains to data storage and computing Knowledge of reinforcement learning techniques Knowledge of evolutionary algorithms AWS Certification Show more Show less

Opportunity with TCS |AI Research / Data Scientist (Masters)| Greetings from TCS!! TCS is Hiring for AI Research / Data Scientist (Masters) Interview Mode: Virtual Required Experience: 8-20 years Work location: PAN India Must have: Master's degree in computer science/ data science/Statistics Excellent knowledge AI/ML including algorithm development In-depth knowledge in Data (collection, preparation, analysis, visualization) Hands-on experience in Python based development ML/Deep Learning/ Operations Research (NLP/ Computer Vision) Strong written and verbal communication skills. Ability to explain complex technical concepts to non-technical audiences. Detail-oriented with a strong focus on quality and accuracy. If interested kindly send your updated CV and below mentioned details through DM/E-mail: srishti.g2@tcs.com Name: E-mail ID: Contact Number: Highest qualification: Preferred Location: Highest qualification university: Current organization: Total, years of experience: Relevant years of experience: Any gap: Mention-No: of months/years (career/ education): If any then reason for gap: Is it rebegin: Previous organization name: Current CTC: Expected CTC: Notice Period: Have you worked with TCS before (Permanent / Contract ) : Show more Show less