3566 Data Scientist Jobs - Page 42

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. If this is you, then consider an opportunity with RAIK Solutions under our Product Development Team. Product Development Team (PDT) is a talent model that is tailored specifically for long-term, life changing, sustainable innovative solutions on latest technologies to solve problems with technology. Responsibilities Selecting features, building, and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Using NLP to extract information from unstructured text Processing, cleansing, and verifying data integrity used for analysis Doing ad-hoc analysis and presenting results in a user-friendly way Creating automated anomaly detection systems and constant tracking of their performance Extending the company’s data with third-party sources of information when needed Create technical documentation for code, architecture, and application function Ability to work on multiple projects in parallel to meet the company’s needs Flexible to work on different sets of technologies as and when required Positive, upbeat personality Qualifications Bachelor’s or master’s degree in data science or related field. Minimum three years of relevant experience. Knowledge, Skills and Abilities Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable. Experience with data visualization tools like D3.js, GGplot, etc.. Proficiency in using query languages such as SQL. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good, applied statistics skills, such as distributions, statistical testing, regression, etc Good scripting and programming skills Excellent communication and inter-personal skills Ability to lead in a high-pressure, fast paced and changing environment to ensure objectives are met in a timely manner and achieved within utmost quality Strong analytical and problem-solving skills Ability to create insightful and progressive functional multi-year strategy

About the role: This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves. What you will do: Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities Solve ‘Search’ value stream problems and help improve Gartner’s client experience in finding the most meaningful and valuable insights Build user query understanding and intent refinement models to refine query to content similarity Build and incorporate LLMs in addition to vector search capabilities Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions Collaborate with engineering and product teams to launch MVPs and iterate quickly Independently plan and drive data science projects that deliver clear business value. What you will need: 6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred Demonstrated ability to translate quantitative analysis into actionable business strategies. Strong communication skills in technical and business domains Working experience in some of the following data science areas: Machine Learning and Predictive modeling Text mining and Natural Language Processing Search or Recommendation systems Data analytics with multi-dimensional data Generative models Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies Ability to implement latest ML research to improve our current algorithms Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Experience with cloud computing services such as AWS or Azure ML Ability to work collaboratively across product, data science and technical stakeholders Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone Bias for action and client outcome oriented

About the Company: Maruti Suzuki India Limited is a leading automobile manufacturer in India. A subsidiary of the Japanese automotive company Suzuki, Maruti Suzuki has been dominating the Indian car market for over three decades with its wide range of budget to premium cars. The company is known for its quality, reliability, and value for money offerings that have earned it the trust of millions of Indians. Role Purpose: The Data Scientist at Maruti Suzuki India Limited will be responsible for leveraging large sets of data, statistical sciences, and predictive modeling to create business strategies and improve operations. Key Responsibilities: Required Skills/Qualifications: Work Environment/Location: This role is based in our head office in New Delhi, India. The company offers flexible working hours with a hybrid model, combining in-office days and remote working.

We are seeking a highly experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in machine learning models, artificial intelligence (AI), generative AI, and data visualization. Proficiency in Tableau and other visualization tools is essential. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Key Responsibilities: Design, develop, and implement advanced machine learning models to solve complex business problems. AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies Skills: Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc. Databases: Snowflake, Teradata, SQL, NoSQL databases. Programming Languages: Python (essential), R, SQL. Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data Processing: ETL processes, data warehousing, data lakes. Cloud Platforms: AWS, Azure, Google Cloud Platform. Minimum Qualifications: Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Minimum of [X] years of experience as a Data Scientist or in a similar role. Proven track record in developing and deploying machine learning models and AI solutions. Strong expertise in data visualization tools, particularly Tableau. Extensive experience with Snowflake and Teradata databases. Excellent problem-solving skills and the ability to work independently and collaboratively. Exceptional communication skills with the ability to convey complex information clearly. Preferred Qualifications (Provide up to five (5) bullet points : these can include soft skills) Excellent communication and collaboration skills to work effectively in cross-functional teams. Ability to translate business requirements into technical solutions. Strong problem-solving skills and the ability to work with complex datasets. Experience in statistical analysis and machine learning techniques. Understanding of business domains such as sales, financials, marketing, and telemetry.

About the Job : Sanofi is a pioneering global healthcare company committed to advancing the miracles of science to enhance the well-being of individuals worldwide. Operating in over 100 countries, our dedicated team is focused on reshaping the landscape of medicine, transforming the seemingly impossible into reality. We strive to provide life-changing treatment options and life-saving vaccines, placing sustainability and social responsibility at the forefront of our aspirations. Embarking on an expansive digital transformation journey, Sanofi is committed to accelerating its data transformation and embracing artificial intelligence (AI) and machine learning (ML) solutions. This strategic initiative aims to expedite research and development, enhance manufacturing processes, elevate commercial performance, and deliver superior drugs and vaccines to patients faster, ultimately improving global health and saving lives. What you will be doing:: As a dynamic Data Science practitioner, you are passionate about challenging the status quo and ensuring the development and impact of Sanofis AI solutions for the patients of tomorrow. You are an influential leader with hands-on experience deploying AI/ML and GenAI solutions, applying state-of-the-art algorithms with technically robust lifecycle management. Your keen eye for improvement opportunities and demonstrated ability to deliver solutions in cross-functional environments make you an invaluable asset to our team. Main Responsibilities: This role demands a dynamic and collaborative individual with a strong technical background, capable of leading the development and deployment of advanced machine learning while maintaining a focus on meeting business objectives and adhering to industry best practices. Key highlights include: Model Design and Development: Lead the development of custom Machine Learning (ML) and Large Language Model (LLM) components for both batch and stream processing-based AI ML pipelines. Create model components, including data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and fine-tuning, ensuring alignment with technical and business requirements. Develop and maintain full-stack applications that integrate ML models, focusing on both backend processes and frontend interfaces Collaborative Development: Work closely with data engineer, ML Ops, software engineers and other team Tech team members to collaboratively design, develop, and implement ML model solutions, fostering a cross-functional and innovative environment. Contribute to both backend and frontend development tasks to ensure seamless user experiences. Model Evaluation: Collaborate with other data science team members to develop, validate, and maintain robust evaluation solutions and tools for assessing model performance, accuracy, consistency, and reliability during development and User Acceptance Testing (UAT). Implement model optimizations to enhance system efficiency based on evaluation results. Model Deployment: Work closely with the MLOps team to facilitate the deployment of ML and Gen AI models into production environments, ensuring reliability, scalability, and seamless integration with existing systems. Contribute to the development and implementation of deployment strategies for ML and Gen AI models. Implement frontend interfaces to monitor and manage deployed models effectively. Internal Collaboration: Collaborate closely with product teams, business stakeholders, data science team members to ensure the smooth integration of machine learning models into production systems. Foster strong communication channels and cooperation across different teams for successful project outcomes. Problem Solving: Proactively troubleshoot complex issues related to machine learning model development and data pipelines. Innovatively develop solutions to overcome challenges, contributing to continuous improvement in model performance and system efficiency. Key Functional Requirements & Qualifications: Education and experience: PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills, OR Master s Degree in relevant domain with 3+ years of data science experience Technical skills: Disciplined AI/ML development, including CI/CD and orchestration Cloud and high-performance computing proficiency (AWS, GCP, Databricks, Apache Spark). Experience deploying models in agile, product-focused environments Full-stack AI application expertise preferred, including experience with front-end frameworks (e.g., React) and backend technologies. Communication and collaboration: Excellent written and verbal communication A demonstrated ability to collaborate with cross-functional team (e.g. business, product and digital) Why Choose Us Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Sanofi achieves its mission, in part, by offering rewarding career opportunities which inspire employee growth and development. Our 6 Recruitment Principles clarify our commitment to you and your role in driving your career. Our people are responsible for managing their career Sanofi posts all non-executive opportunities for our people We give priority to internal candidates Managers provide constructive feedback to all internal interviewed candidates We embrace diversity to hire best talent We expect managers to encourage career moves across the whole organization Pursue Progress Discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn t happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let s be those people.

Rockwell Automation is a global technology leader focused on helping the world s manufacturers be more productive, sustainable, and agile. . Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that s you we would love to have you join us! Job Description Summary: Collaborate with engineers, product managers, and operations leaders to build predictive maintenance models, improve manufacturing throughput, and drive cost savings. Work on anomaly detection, quality control, and forecasting use cases within our IIoT platform. You will report to Lead Sr Solution Architect of the function and will work from our Electronics City, Bengaluru Office in Hybrid work model. Your Responsibilities: Design and implement scalable ETL pipelines and ML workflows using platforms like AzureML, AWS SageMaker. Develop and deploy time-series models for forecasting and anomaly detection. Apply classical ML techniques such as regression, decision trees, clustering, and deep learning to solve business problems. Collaborate with cross-functional teams to translate business requirements into data science solutions. Contribute to model monitoring, performance tuning, and continuous improvement. You will report to Lead Sr Solution Architect of the function and will work from our Electronics City, Bengaluru Office in Hybrid work model. The Essentials - You Will Have: 1 2 years of experience in data science or machine learning roles. Proven experience with cloud ML platforms (AzureML, SageMaker, or equivalent). Strong understanding and hands-on experience with time-series modeling and forecasting techniques. Solid foundation in classical ML algorithms (e.g., regression, decision trees, clustering, deep learning). Proficiency in Python, SQL, and ML libraries such as scikit-learn, TensorFlow, or PyTorch. Experience building and maintaining ETL pipelines for large-scale data processing. The Preferred - You Might Also Have: Familiarity with BI tools (Tableau, Looker, Power BI) and MLOps frameworks (MLflow, Kubeflow). Familiarity with FastAPI for building and deploying model serving endpoints. Familiarity working with in Linux Environments. What We Offer: Our benefits package includes Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees. Company volunteer and donation matching program Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if youre excited about this role but your experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. #LI-Hybrid #LI-FR1

Responsibilities: Problem Definition & Hypothesis Generation: Work closely with business stakeholders, product managers, and engineers to understand key business challenges and formulate data-driven hypotheses. Data Collection & Preparation: Identify, collect, and prepare large, complex datasets from various sources. This includes data cleaning, transformation, feature engineering, and ensuring data quality and integrity. Exploratory Data Analysis (EDA): Perform in-depth statistical analysis and visualization to uncover trends, patterns, outliers, and relationships within data, generating actionable insights. Model Development & Evaluation: Design, develop, and implement machine learning models (e.g., supervised, unsupervised, reinforcement learning) for various applications such as prediction, classification, recommendation, anomaly detection, and natural language processing. Select appropriate algorithms, fine-tune model parameters, and perform rigorous model validation and evaluation (e.g., cross-validation, A/B testing). Monitor model performance post-deployment and iterate for continuous improvement. Statistical Analysis & Experimentation: Apply advanced statistical techniques to analyze experimental results, identify causal relationships, and provide recommendations based on data-driven evidence. Insight Generation & Communication: Translate complex analytical findings and model results into clear, concise, and actionable insights for non-technical audiences through presentations, reports, and dashboards. Deployment & MLOps: Collaborate with MLOps engineers and software developers to productionize models, ensure scalability, reliability, and maintainability. Research & Innovation: Stay updated with the latest advancements in data science, machine learning, and AI, and proactively identify opportunities to apply new techniques to solve business problems. Documentation: Document code, models, methodologies, and findings thoroughly for reproducibility and knowledge sharing.

Role & responsibilities : Delivery of Key Projects: Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. Solution Development: Develop efficient solutions for complex problems, showcasing expertise in handling various data types, databases, data analytics, Python programming, statistics. End-to-End Pipeline Management: Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. Dashboard Design: Design dashboards using PowerBI or Python Dash (plotly) or Flask framework for effective data visualization and reporting. Technological Expertise: Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. ETL Pipeline Building: Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management. Data Procurement and Management: Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. Technology Exploration: Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. Technical Skills: Proficiency in Python and common libraries ( Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow, Keras, Pytorch ). Strong Knowledge in Statistics and Probability . Hands-on experience with Computer Vision projects. Set up cloud alerts, monitors, dashboards, and logging systems, troubleshoot data platform infrastructure as needed. Experience in OpenShift/Kubernetes, Azure ML is desirable. Proficiency in programming languages: Python and database query languages SQL. Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, regression and classification. Knowledge of DevOps/MLOps. Exceptional analytical and problem-solving skills. Preferred candidate profile Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience. Total of 6 to 10 years of professional experience. Minimum 4 years of experience in data science/machine learning/deep learning. Minimum 2 years of experience with Computer Vision domain. Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred.

AI Engineer (Mid / Senior level) • Design, build, and optimize AI/ML models and algorithms tailored to business needs. • Develop and implement LLM-based solutions, including custom training and fine-tuning. • Integrate AI models into existing or new applications. • Work with Azure OpenAI Service to deploy and manage AI workloads. • Collaborate with cross-functional teams (Data Engineers, DevOps, Product) to scale AI initiatives. • Maintain documentation, evaluate model performance, and iterate on improvements. • Experience with Azure Open AI. Cloud Ops Engineer (Part-time / Project basic ) • Design and implement end-to-end integration between Azure and Datadog, including: o Metrics and log collection (Azure Monitor, Activity Logs, Diagnostic Settings). o Distributed tracing and custom dashboards. o Alerting rules and incident response workflows. • Build and maintain an integrated cloud support system: o Automated monitoring and alerting pipelines. o Incident triage and escalation playbooks. o Ticketing system and notification integration (e.g., PagerDuty, ServiceNow, Slack). • Ensure operational readiness through runbooks, dashboards, and SLA reporting. • Collaborate with development and infrastructure teams to identify observability gaps and improve monitoring coverage. • Maintain Infrastructure-as-Code (IaC) templates (ARM, Bicep, or Terraform) for repeatable deployment of monitoring and support tooling. Requirements • Strong experience with Microsoft Azure (App Services, AKS, Functions, Monitor, Log Analytics). • Hands-on experience integrating Datadog with Azure using APIs, agents, and Azure-native connectors. • Experience in building support or operations tools/systems (e.g., alert routing, self-healing scripts). • Solid scripting skills (e.g., PowerShell, Python, or Bash). • Familiarity with CI/CD, containerization (Docker/Kubernetes), and DevOps practices. • Experience with infrastructure automation using Terraform, Bicep, or ARM templates. • Strong troubleshooting, problem-solving, and incident management skills

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Gurugram/Bangalore Notice period: Immediate to 30 days..!! Roles and Responsibilities Develop market mix models using MMM, SAS, and other tools to drive business growth. Conduct customer segmentation and market basket analysis to inform marketing strategies. Collaborate with cross-functional teams to develop predictive models for campaign optimization. Provide insights on retail analytics, marketing analytics, and advanced analytics to support business decisions. Work closely with stakeholders to identify key performance indicators (KPIs) and develop data-driven solutions. Desired Candidate Profile 3-8 years of experience in Market Mix Modelling/MMM models development. Strong proficiency in Python programming language and its applications in analytics. Experience with CPG industry knowledge is preferred but not mandatory. Proficiency in SAS or similar statistical software for data manipulation and analysis.

Experience Range: 2 to 5 Years Must Have: - AWS services knowhow: s3, Athena, API Gateway, SageMaker, SES, SNS, Lambda, RDS, SQS, Glue - AWS certification: Solutions Architect Associate or Professional - Data science and Machine learning knowhow - Handson experience with Python programming language - Data analysis experience - Requirements engineering - Problem solving - Generative AI development and application experience - Dashboarding experience - Good Communication and presentation skills in English - Continuous learning attitude.

We are seeking a passionate and skilled Generative AI Engineer to join our AI/ML team. You will be responsible for designing, developing, and deploying cutting-edge GenAI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for someone who thrives in a fast-paced environment and is excited about building intelligent systems that push the boundaries of AI. Key Responsiblity: Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems. Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure. Optimize model performance and ensure robustness in production environments. Stay updated with the latest research and advancements in generative AI and deep learning. Skill: Strong programming skills in Python with experience in building ML/NLP applications. Hands-on experience with Deep Learning , Machine Learning , and Natural Language Processing . Proficiency in working with LLMs (e.g., GPT, LLaMA, Mistral) and RAG architectures. Experience with Agentic AI frameworks and autonomous agent design. Familiarity with FastAPI for building RESTful APIs. Experience with CI/CD pipelines and deploying solutions on Azure Cloud . Solid understanding of data structures, algorithms, and software engineering principles. Bachelors or Masters degree in Computer Science, AI, Data Science, or related field. Role & responsibilities Preferred candidate profile

DATA SCIENCE + GEN AI Major Duties & Responsibilities • Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions • Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects • Influence machine learning strategy for Digital programs and projects • Make solution recommendations that appropriately balance speed to market and analytical soundness • Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor • Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) • Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. • Create algorithms to extract information from large, multiparametric data sets. • Deploy algorithms to production to identify actionable insights from large databases. • Compare results from various methodologies and recommend optimal techniques. • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. • Develop and embed automated processes for predictive model validation, deployment, and implementation • Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science • Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment • Lead discussions at peer review and use interpersonal skills to positively influence decision making • Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices • Facilitate cross-geography sharing of new ideas, learnings, and best-practices Required Qualifications • Bachelor of Science or Bachelor of Engineering at a minimum. • 4+ years of work experience as a Data Scientist • A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project • Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) • Good hands-on skills in both feature engineering and hyperparameter optimization • Experience producing high-quality code, tests, documentation • Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks • Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies • Proficiency in statistical concepts and ML algorithms • Good knowledge of Agile principles and process • Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team • Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results • Self-motivated and a proactive problem solver who can work independently and in teams Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision APIs, Prompt Engineering Good to have : AI Algorithms, Deep Learning,Computer Vision, Hallucination Control Mechanism, Responsible AI frameworks Tech : Python, SQL, Docker, Versioning tool, Azure/AWS/GCP

WorkMode :Hybrid Work Location : Chennai / Hyderabad / Work Timing : 2 PM to 11 PM Primary : Data Scientist We are seeking a skilled Data Scientist with strong expertise in Python programming and Amazon SageMaker to join our data team. The ideal candidate will have a solid foundation in machine learning, data analysis, and cloud-based model deployment. You will work closely with cross-functional teams to build, deploy, and optimize predictive models and data-driven solutions at scale. Bachelors or Master's degree in Computer Science, Data Science, Statistics, or a related field. 12+ years of experience in data science or machine learning roles. Proficiency in Python and popular ML libraries (e.g., scikit-learn, pandas, NumPy). Hands-on experience with Amazon SageMaker for model training, tuning, and deployment. Strong understanding of supervised and unsupervised learning techniques. Experience working with large datasets and cloud platforms (AWS preferred). Excellent problem-solving and communication skills. Experience with AWS services beyond SageMaker (e.g., S3, Lambda, Step Functions). Familiarity with deep learning frameworks like TensorFlow or PyTorch. Exposure to MLOps practices and tools (e.g., CI/CD for ML, MLflow, Kubeflow). Knowledge of version control (e.g., Git) and agile development practices.

Data Scientist WorkMode :Hybrid Work Location : Chennai / Hyderabad / Work Timing : 2 PM to 11 PM Primary : Data Scientist We are seeking a skilled Data Scientist with strong expertise in Python programming and Amazon SageMaker to join our data team. The ideal candidate will have a solid foundation in machine learning, data analysis, and cloud-based model deployment. You will work closely with cross-functional teams to build, deploy, and optimize predictive models and data-driven solutions at scale. Bachelors or Master's degree in Computer Science, Data Science, Statistics, or a related field. 12+ years of experience in data science or machine learning roles. Proficiency in Python and popular ML libraries (e.g., scikit-learn, pandas, NumPy). Hands-on experience with Amazon SageMaker for model training, tuning, and deployment. Strong understanding of supervised and unsupervised learning techniques. Experience working with large datasets and cloud platforms (AWS preferred). Excellent problem-solving and communication skills. Experience with AWS services beyond SageMaker (e.g., S3, Lambda, Step Functions). Familiarity with deep learning frameworks like TensorFlow or PyTorch. Exposure to MLOps practices and tools (e.g., CI/CD for ML, MLflow, Kubeflow). Knowledge of version control (e.g., Git) and agile development practices. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities. Job Types: Full-time, Permanent Pay: ₹480,000.00 - ₹1,000,000.00 per year Schedule: Day shift Monday to Friday Weekend availability Work Location: In person

Role - Python Developer Location - Hyderabad Notice Period - Immediate to 30 Days Skills - Python, Numpy, Pandas, Json, Github. Job Summary We are seeking an experienced Python Developer with 5- 11 years of experience to join our team. The ideal candidate will have a strong background in Python, Json and Github experience.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. ___________________________________________________________________________________________________________ Department: Data & Analytics Location: Cyber Hub, Gurugram, Haryana (5 days in office) Job Type: Permanent, Full-Time (40 Hours) Reports To: Senior Manager Data Science & Analytics ____________________________________________________________________________________________________________ About the role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Roles & Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3 - 4 years for Data Scientist Relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) #LI-DS1

Job Summary: We are seeking a skilled Data Scientist to analyze large datasets, build predictive models, and derive actionable insights to support business decisions. The ideal candidate has strong statistical knowledge, proficiency in programming, and a problem-solving mindset. Key Responsibilities: Collect, clean, and preprocess structured and unstructured data Perform exploratory data analysis and visualize insights Develop, test, and deploy machine learning and statistical models Communicate findings and recommendations through reports and presentations Collaborate with cross-functional teams to identify business opportunities Maintain and improve data pipelines and model performance over time Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or related field Proficiency in Python or R, and SQL Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Knowledge of statistical analysis and experimental design Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) Excellent analytical and problem-solving skills Strong communication and presentation abilities Preferred: Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of cloud platforms (AWS, Azure, GCP) Experience- 1-2 Year. Monday To Friday. Morning Shift. [email protected] Job Type: Full-time Schedule: Day shift Monday to Friday Weekend availability Work Location: In person

Join our Team As the technology firm that created the mobile world and a rich history of 145 years of building ground-breaking solutions and innovative technologies supported by 60,000+ patents, Ericsson has made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you are welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Ericsson Enterprise Wireless Solutions (BEWS) is the group responsible for leading Ericsson’s Enterprise Networking and Security business. Our growing product portfolio spans across wide area networks, local area networks and enterprise security. We are the #1 global market leader in Wireless-WAN based enterprise connectivity solutions and are growing fast in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. You will Develop scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use Generative AI and predictive modeling to enhance customer experiences, revenue generation and other business outcomes. You must have Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration. Ability to perform EDA and visualize the data. Aptitude and skills in Machine Learning, e.g., Natural Language Processing, Bayesian model, Deep Learning, and Large Language Models. Strong programming skills in Python, SQL. Strong understanding of DSA. Strong ambition to learn and implement current state of the art machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch and Spark. Familiarity with Linux/OS X command line, version control software (git), and general software development. Familiarity with APIs Experience in programming or scripting to enable ETL development. Familiarity with relational databases and Cloud (AWS). Understanding of Reinforcement Learning and Causal Inference will be preferred. Qualifications B.Tech or B.E. or M.Tech or MS in Computer Science / Masters in Mathematics / Statistics from a premium institute Minimum 4 – 6 years of experience in relevant role Why Ericsson Enterprise Wireless Solutions? At Ericsson Enterprise Wireless Solutions, we are one team - all in on inclusion. Celebrating the uniqueness of our individual team members across the globe helps us build diverse teams where we all can thrive. Our connected, community-focused culture enables each one of us to perform at our best and fully be ourselves. Please note: Ericsson Enterprise Wireless Solutions does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Ericsson Enterprise Wireless Solutions employees. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.mana@ericsson.com DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: India (IN) || Bangalore Job details: Data Scientist (Techn)

Job Role: Data scientists will develop and maintain statistical models, apply machine learning techniques and build high-quality predictive/prescriptive systems. The Sr data scientist will also make technology and business recommendations, as well as develop key insights based on data analysis. The candidate must be able to partner with business stakeholders in order to cure business problem statements and guide which business priorities using data. Job Title: Data Scientist / Lead Data Scientist Company : NAM Info Private Limited Location : Bangalore (Work from Office) Experience : 7-12 Years Positions : 2 Data Scientists & 1 Lead Data Scientist Joining : Immediate joiners preferred (within 15 days) Interview Process: Round 1 : Virtual Round 2: Face-to-face (mandatory) Academic Qualifications: Engineering / B Tech or Masters in Statistics Must have worked with data science profiles in the past Responsibilities: Strong knowledge and hands on experience in exploration data analysis (EDA) Require reasonable exposure to Retail domain. 2+yrs of experience in ML Model Experience where the candidate has built and deployed Machine learning models at scale Must have Comfortable in Python (Coding) and build the model understanding concept Experience in feature engineering: Experience in building derived variable and hyperparameter tuning Types of models experience expected: Classification models, Regression models, Clustering, Forecasting (Experience in Machine Learning and Deep Learning Techniques) Hands-on experience with Hadoop, Apache Spark, Kafka, and cloud platforms (AWS, GCP, Azure). Proficient with EC2, S3, RDS, Lambda, Snowflake, and big data technologies. Data Visualization and BI Tools: Created interactive dashboards and reports using Tableau, Power BI, and D3.js to facilitate data-driven decision-making. Must have worked on banking use cases like cross sell, upsell, customer retention, customer acquisition, customer servicing, personalization, ATM optimization, Branch analytics Expertise in data sciences, mining, modeling, deep learning, CNN, clustering, boosting, classification, predictive modeling, LSTM, and LLMs. Note : Apply only if you meet the experience criteria (7+ years) and are available for immediate joining. Send profiles to narasimha@nam-it.com Thanks & regards, Narasimha.B Staffing executive NAM Info Pvt Ltd, 29/2B-01, 1st Floor, K.R. Road, Banashankari 2nd Stage, Bangalore - 560070. +91 9182480146 (India) Email - narasimha@nam-it.com

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.