consultant

associate consultant

ai product specialist

analyst, people services generalist Jobs in Mangaluru

analyst, people services generalist

application engineer

ai specialist

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 
 Role Description
 
 
 
 <ul>
 <li>
 Experience with various LLM architecture design using RAG, MCP and hybrid models
 </li>
 <li>
 Good understanding of choosing the right ML algorithms based on business problems.
 </li>
 <li>
 Experience in prototyping Ai solutions including having a good understanding of data vectorizations and or feature designs
 </li>
 <li>
 Collaborate with SAP external customers specifically Retail, Manufacturing.. to drive workshops and outline AI use-cases. Develop PRD&rsquo;s to clearly communicate requirements to the Engineering teams.
 </li>
 <li>
 Leverage AI to solve pressing business challenges for our enterprise customers
 </li>
 <li>
 Use the various Ai Studios to quickly create a proposed prototype for both neural networks and Agentic Ai use cases
 </li>
 <li>
 Partner with leadership, customers, and prospects to identify opportunities where AI can deliver value at scale for multiple SAP customers to build end to end processes using AI
 </li>
 <li>
 Define and track key business metrics that demonstrate the business impact
 </li>
 <li>
 Collaborate with our engineering and development teams working on AI technologies, UX designers and GTM teams to accelerate bringing products to the market.
 </li>
 <li>
 Develop customer facing multi-modal Generative AI demos specific to use cases and document the script, set-up environment for partners and solution architects to leverage.
 </li>
 <li>
 Conduct hands-on market research to validate requirements and ensure we're building solutions that address real customer needs and market opportunities
 </li>
 <li>
 Document what you know and guide others. This can vary from building targeted training for partners, Solutions Architects, and other internal stakeholders, to writing blogs, and to simply working through hard problems with a customer on a whiteboard.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5+ years of product management expertise with a proven track record of shipping
 </li>
 <li>
 2+ years of and hands on building generative AI models and shipping at scale
 </li>
 <li>
 Experience building conversational tools and chatbots
 </li>
 <li>
 Experience working with customers and building long-term strong relationships.
 </li>
 <li>
 Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into complex projects.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Experience successfully partnering with Data Science teams
 </li>
 <li>
 Passion for directly engaging with customers&mdash;from requirements gathering to demos and sales support
 </li>
 <li>
 Experience working and guiding product and engineering teams distributed globally
 
 
 </li>
 </ul>
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 433531 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

AI Product Specialist

PwC Acceleration Center India

<div>
 
 PwC AC is hiring for Data scientist
 
 
 Apply and get a chance to work with one of the Big4 companies #PwC AC.
 
 
 
 
 
 
 Job Tit
 
 le
 
 :
 
 Data scientist
 
 
 
 Years of Experienc
 
 e: 3-7 years
 
 
 
 Shift Timin
 
 gs: 11AM-8PM
 
 
 
 Qualificati
 
 on: Graduate and above(Full time)
 
 
 
 
 
 
 About PwC CTIO &ndash; AI Engineering
 
 
 
 PwC&rsquo;s
 
 Commercial Technology and Innovation Office (CTIO)
 
 is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The
 
 AI Engineering
 
 team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next&mdash;enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior Associate &ndash; Data Science/ML/DL/GenAI
 
 to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team&rsquo;s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
 </li>
 <li>
 Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
 </li>
 <li>
 Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
 </li>
 <li>
 Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
 </li>
 <li>
 Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
 </li>
 <li>
 Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
 </li>
 <li>
 Conduct R&amp;D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
 </li>
 <li>
 Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team&rsquo;s work.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 3 to 7 years
 
 of experience in Data Science/ML/AI roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
 </li>
 <li>
 Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 , including prompt engineering, LLM fine-tuning, and deployment.
 </li>
 <li>
 Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
 </li>
 <li>
 Strong knowledge of NLP techniques, transformer architectures, and text analysis.
 </li>
 <li>
 Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
 </li>
 <li>
 Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
 </li>
 <li>
 Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
 </li>
 <li>
 Exposure to deploying AI models via APIs and integration into larger data ecosystems.
 </li>
 <li>
 Strong understanding of model operationalization and lifecycle management.
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
 </li>
 <li>
 Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
 </li>
 <li>
 Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Team Expectations
 
 
 <ul>
 <li>
 Strong written and verbal communication; able to explain complex models to business stakeholders.
 </li>
 <li>
 Ability to independently document work, manage requirements, and self-drive technical discovery.
 </li>
 <li>
 Desire to innovate, improve, and automate existing processes and solutions.
 </li>
 <li>
 Active contributor to team knowledge sharing, technical forums, and innovation drives.
 </li>
 <li>
 Strong interpersonal skills to build relationships across cross-functional teams.
 </li>
 <li>
 A mindset of continuous learning and technical curiosity.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 (at least two are preferred)
 
 
 
 <ul>
 <li>
 Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
 </li>
 <li>
 Python programming certifications (e.g., PCEP/PCAP).
 </li>
 <li>
 Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.
 </li>
 </ul>
 
 
 
 
 
 Why Join PwC CTIO?
 
 
 <ul>
 <li>
 Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
 </li>
 <li>
 Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
 </li>
 <li>
 Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
 </li>
 <li>
 Operate in a startup-like environment within the safety and structure of a global enterprise.
 </li>
 <li>
 Accelerate your career as a deep tech leader in an AI-first future.
 </li>
 </ul>
</div>

Data Scientist

<div>
 
 Role Description
 
 
 
 Data Scientist
 
 
 
 Job Summary
 
 
 
 We are looking for a results-oriented Data Scientist with expertise in Statistics, Economics, Machine Learning, Deep Learning, Computer Vision, and Generative AI. The ideal candidate will have a proven track record of building and deploying predictive models, conducting statistical analysis, and applying cutting-edge AI techniques to solve real-world business challenges.
 
 
 ________________________________________
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop models for regression, classification, clustering, and time series forecasting.
 </li>
 <li>
 Perform hypothesis testing and statistical validation to support data-driven decisions.
 </li>
 <li>
 Build and optimize deep learning models (ANN, CNN, RNN including LSTM, BERT).
 </li>
 <li>
 Implement computer vision solutions using YOLOv3, SSD, U-Net, R-CNN, etc.
 </li>
 <li>
 Apply Generative AI and LLMs (GPT-4, LLaMA2, Bard) for NLP and content generation.
 </li>
 <li>
 Create interactive dashboards and applications using Streamlit or Flask.
 </li>
 <li>
 Deploy models using AWS SageMaker, Azure, Docker, Kubernetes, and Jenkins.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into production.
 </li>
 <li>
 Handle large datasets using SQL/NoSQL and PySpark.
 </li>
 <li>
 Stay updated with the latest AI/ML research and contribute to innovation.
 
 
 </li>
 </ul>
 ________________________________________
 
 
 
 Technical Skills
 
 
 
 Programming &amp; Frameworks:
 
 
 <ul>
 <li>
 Languages: Python
 </li>
 <li>
 Libraries/Frameworks: TensorFlow, PyTorch, Keras, Flask, Transformers, Langchain, PySpark, Caffe
 </li>
 <li>
 Visualization &amp; Data Tools: Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn, Scipy, NLTK, Streamlit, OpenCV, Scikit-Image, Dlib, MXNet, Fasta
 
 
 </li>
 </ul>
 
 ML &amp; Statistical Techniques
 
 
 
 <ul>
 <li>
 Regression (Linear/Logistic), Decision Trees, Random Forest, KNN, Na&iuml;ve Bayes
 </li>
 <li>
 Clustering (KMeans, Hierarchical), Time Series Forecasting
 </li>
 <li>
 Hypothesis Testing, Statistical Inference
 
 
 </li>
 </ul>
 
 Deep Learning &amp; Computer Vision
 
 
 
 <ul>
 <li>
 ANN, CNN, RNN (LSTM, BERT), VGGs, YOLOv3, SSD, HOGs, DCGAN, U-Net, R-CNN, NEAT, Inpainting
 
 
 </li>
 </ul>
 
 Gen-AI / LLMs
 
 
 
 <ul>
 <li>
 HuggingFace, GPT-4, Bard, LLaMA2, Pinecone, Palm, GenAI Studio, OpenAI fine-tuning
 
 
 </li>
 </ul>
 
 Deployment &amp; DevOps
 
 
 
 <ul>
 <li>
 AWS (SageMaker), Azure, Docker, Kubernetes, Jenkins, Git, GitHub, API integration
 
 
 </li>
 </ul>
 
 Databases &amp; Tools
 
 
 
 <ul>
 <li>
 MySQL, NoSQL
 </li>
 <li>
 Jupyter Notebook, Google Colab, Visual Studio, Power BI
 
 
 </li>
 </ul>
 ________________________________________
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Statistics, Economics, Computer Science, Data Science, or related field.
 </li>
 <li>
 Demonstrated experience in developing and deploying models in production.
 </li>
 <li>
 Strong analytical and statistical skills.
 </li>
 <li>
 Excellent communication and collaboration abilities.
 </li>
 </ul>
</div>

Yulu

<div>
 
 
 About Yulu
 
 
 
 Yulu is India&rsquo;s leading shared micro-mobility platform, revolutionizing urban transportation through smart, sustainable, and electric-first mobility solutions. With a rapidly growing fleet of tech-enabled electric two-wheelers and a robust battery-swapping infrastructure, Yulu makes last-mile commutes not only efficient but also planet-friendly.
 
 
 Our IoT-driven platform and smart electric vehicles are helping cities reduce traffic congestion and carbon emissions while empowering millions with affordable and reliable transportation.
 
 
 Backed by industry giants like Bajaj Auto and Magna International, Yulu operates at the intersection of mobility, technology, and sustainability. Our mission is to reduce congestion, cut emissions, and transform how India moves &mdash; one ride at a time.
 
 
 With millions of rides completed, thousands of EVs on the road, and a rapidly expanding footprint, we&rsquo;re not just building EVs &mdash; we&rsquo;re building the future of urban mobility in India.
 
 
 
 
 
 🔗 Learn more: www.yulu.bike
 
 
 
 
 
 
 Role Summary
 
 
 
 Yulu is looking for a
 
 Data Scientist
 
 to work on developing and refining statistical models and Machine Learning algorithms to address real-world challenges. You will collaborate with cross-functional teams to identify analytical needs, perform exploratory data analysis, and optimize model performance. The role also involves building and maintaining data pipelines, ensuring data quality, and staying up-to-date with emerging AI/ML technologies. If you are passionate about using data to solve impactful problems and transform urban mobility, join us in our mission to reduce traffic congestion and air pollution!
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy.
 </li>
 <li>
 Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems.
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets.
 </li>
 <li>
 Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency.
 </li>
 <li>
 Document analyses, methodologies, and best practices to maintain clear records for future reference.
 </li>
 <li>
 Stay up-to-date with emerging AI/ML technologies and actively explore new approaches&mdash;especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs).
 </li>
 <li>
 Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong grounding in statistics, math, and machine learning
 </li>
 <li>
 Hands-on Python: pandas, NumPy, scikit-learn
 </li>
 <li>
 Comfortable working with data in
 
 SQL and/or pandas
 
 (joins, windows, groupbys)
 </li>
 <li>
 Clear written and verbal communication
 </li>
 <li>
 Experience with GenAI/LLMs (prompts, embeddings, simple RAG)
 </li>
 <li>
 Visualization: Streamlit, Matplotlib/Seaborn (or Plotly)
 </li>
 <li>
 Operations Research basics: vehicle routing, task assignment (e.g.,
 </li>
 <li>
 Hungarian), Job Scheduling
 </li>
 <li>
 Good software habits: Git, environments, basic tests; any cloud/warehouse exposure
 </li>
 </ul>
 
 
 
 
 
 We assure you
 
 
 <ul>
 <li>
 Be a part of an innovative company that values professional growth, trustworthy colleagues, a fun environment in the office, and well-being for the employees
 </li>
 <li>
 A culture that fosters growth, integrity, and innovation
 </li>
 </ul>
 
 
</div>

Suki

<div>
 
 What we want to accomplish and why we need you
 
 
 
 Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we&rsquo;re striving to do even better. Come and join us!
 
 
 We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We&rsquo;re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We&rsquo;re confident enough to move fast and talented enough not to break things. Check out this short video to learn more about our mission and our culture.
 
 
 
 Job Responsibilities
 
 
 
 What will you do everyday? The Clinical Operations team will collaborate with our clinical and product teams-helping refine the existing product and design new features with the clinician's needs in mind.
 
 
 <ul>
 <li>
 Translate clinical language into AI logic: Collaborate with AI Engineers to translate your clinical expertise and workflow insights into actionable algorithms for the digital assistant. Create and edit gold standard medical documentation for model training purposes.
 </li>
 <li>
 Continuously refine and optimize: Analyze AI output to evaluate for quality and accuracy from a clinical perspective.
 
 
 </li>
 </ul>
 
 Who You Are:
 
 
 
 <ul>
 <li>
 Possess a Bachelor of Medicine, Bachelor of Surgery (MBBS) degree and a valid medical license to practice in the respective region.
 </li>
 <li>
 At least 1 year of professional experience in the Department of general surgery.
 </li>
 <li>
 2+ years of practice experience as a doctor (Good to have: working knowledge on US healthcare systems)
 </li>
 <li>
 You have a passion for patient care and the potential of technology to improve healthcare quality and experience.
 </li>
 <li>
 You have strong analytical and problem-solving skills, and are able to identify clinical challenges and translate them into potential AI solutions.
 </li>
 <li>
 You have strong writing skills.
 </li>
 <li>
 You are adaptable and comfortable working in a fast-paced, dynamic environment with evolving technologies.
 
 
 </li>
 </ul>
 
 Bonus points:
 
 
 
 <ul>
 <li>
 Experience working with digital Health tools or AI Solutions in healthcare.
 </li>
 <li>
 Strong research and analytical skills.
 
 
 </li>
 </ul>
 
 Tell Me More About Suki
 
 
 
 <ul>
 <li>
 Series D raised!
 </li>
 <li>
 On a roll: Announced major partnerships with Google
 </li>
 <li>
 Great team: Founded, managed and backed by successful veterans of Google and Apple in tech and UCSF and Stanford in medicine. We have technologists and doctors working side by side to solve difficult problems.
 </li>
 <li>
 Great investors: We&rsquo;re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
 </li>
 <li>
 Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation and order entry solutions - our vision is to become the voice user interface for healthcare, bringing innovation that relieves the administrative burden on doctors instead of adding to it.
 </li>
 <li>
 Great customers: Help our doctors save time in their day so they can focus on providing great care.
 </li>
 <li>
 Impact: A fun and exciting start-up culture that empowers its people to make a huge impact.
 
 
 </li>
 </ul>
 Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way and we look forward to growing our team with these shared values.
</div>

Clinical Quality Specialist I

WorkOnGrid

<div>
 We are looking for a passionate Data Scientist with 3-5 years of experience in the energy sector to join our team. In this role, you will leverage advanced data science, machine learning, and deep learning techniques to solve real-world challenges in energy demand forecasting, smart grid optimization, renewable integration, and asset performance. You will work closely with business stakeholders, domain experts, and data engineers to turn complex datasets into actionable insights that drive efficiency, sustainability, and innovation in the energy industry. This role offers the opportunity to contribute directly to the transformation of the energy sector through AI-driven solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with business stakeholders and domain experts to understand challenges and opportunities within the energy sector.
 </li>
 <li>
 Design and develop machine learning and deep learning models for energy applications such as demand forecasting, grid management, renewable integration, and equipment optimization.
 </li>
 <li>
 Acquire and prepare data from diverse sources (IoT sensors, smart meters, SCADA systems, weather data, and market prices), ensuring quality and readiness for analysis.
 </li>
 <li>
 Conduct EDA to identify patterns, correlations, and anomalies that drive actionable insights.
 </li>
 <li>
 Implement data science solutions using regression, classification, clustering, and neural networks to improve decision-making and operational efficiency.
 </li>
 <li>
 Evaluate model performance with appropriate metrics and continuously refine models for accuracy and reliability.
 </li>
 <li>
 Develop clear dashboards, reports, and data visualizations to communicate findings to technical and non-technical stakeholders.
 </li>
 <li>
 Stay updated with emerging trends in AI, IoT, renewable energy technologies, and energy analytics.
 </li>
 <li>
 Collaborate with Data Engineers to enhance data infrastructure, collection strategies, and model deployment processes.
 </li>
 <li>
 Provide technical guidance and mentor junior data scientists or analysts when required.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Master's in Data Science, Computer Science, Engineering, or a related quantitative field.
 </li>
 <li>
 3-5 years of experience as a Data Scientist, with a focus on the energy/utilities/renewables domain.
 </li>
 <li>
 Strong programming skills in Python, with hands-on experience using pandas, scikit-learn, TensorFlow, PyTorch, or Keras.
 </li>
 <li>
 Proficiency in SQL for data querying and transformation.
 </li>
 <li>
 Strong foundation in machine learning algorithms, statistical analysis, and deep learning frameworks.
 </li>
 <li>
 Experience with data visualization tools (Tableau, Power BI, etc. )
 </li>
 <li>
 Familiarity with big data technologies (Hadoop, Apache Spark, Databricks) and cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Domain expertise in areas like renewable energy, power generation, smart grids, oil &amp; gas exploration, or energy trading.
 </li>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills with experience working on large, complex datasets.
 </li>
 <li>
 Excellent written and verbal communication skills.
 
 
 </li>
 </ul>
 This job was posted by Athmiya Hm from WorkOnGrid.
</div>

Data Scientist (Energy Sector)

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Clinical Quality Specialist I

Clinical Quality Specialist I

Data Scientist (Energy Sector)