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data research analyst Jobs in Mangaluru India

data research analyst

data scientist (traditional ml) Jobs in Mangaluru India

data scientist (traditional ml)

senior data scientist

Fractal

<div>
 It's fun to work in a company where people truly BELIEVE in what they are doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 Job Title:
 
 Data Scientist/Senior Data Scientist
 
 
 
 Location:
 
 Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced solutions utilizing Large Language Models (LLMs).
 </li>
 <li>
 Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
 </li>
 <li>
 Conduct research and stay informed about the latest developments in generative AI and LLMs.
 </li>
 <li>
 Develop and maintain code libraries, tools, and frameworks to support generative AI development.
 </li>
 <li>
 Participate in code reviews and contribute to maintaining high code quality standards.
 </li>
 <li>
 Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
 </li>
 <li>
 Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
 </li>
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 Possess strong analytical and problem-solving skills.
 </li>
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 Demonstrate excellent communication skills and the ability to work effectively in a team environment.
 
 
 
 </li>
 </ul>
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&amp;A and chatbots, search, Document AI, summarization, and content generation.
 
 
 
 </li>
 </ul>
 AND/OR
 
 
 <ul>
 <li>
 Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
 </li>
 <li>
 Generative AI:
 </li>
 <ul>
 <li>
 Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
 </li>
 <li>
 Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
 </li>
 </ul>
 <li>
 Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
 </li>
 <li>
 Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
 
 
 </li>
 </ul>
 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
 
 Not the right fit? Let us know you're interested in a future opportunity by clicking
 
 Introduce Yourself
 
 in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
</div>

Data Scientist/Senior Data Scientist - Gen AI (3 to 5 Years)

Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
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 Create deliverables to assist with customer engagements.
 </li>
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 Collaborate with fellow team members to implement optimized solutions.
 </li>
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 Contribute to internal projects and processes.
 </li>
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 Collaborate with global team to create deliverables.
 </li>
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 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
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 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
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 Hands-on experience with Python is mandatory.
 </li>
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 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
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 Proficient in Microsoft Excel and SQL.
 </li>
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 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
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 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
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 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
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 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
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 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

Data Scientist/Sr. Data Scientist-Data Science-AA&I

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
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 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
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 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
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 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
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 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
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 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
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 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
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 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
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 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
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 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
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 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
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 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
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 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Tata Consultancy Services

<div>
 
 
 Role
 
 - Data Scientist (Traditional ML)
 
 
 
 Experience
 
 - 10 to 15 Years
 
 
 
 Location
 
 - PAN INDIA
 
 
 
 
 
 
 
 
 
 Job description
 
 
 
 
 
 
 Excellent knowledge AI/ML including algorithm development
 
 
 In-depth knowledge in Data (collection, preparation, analysis, visualization)
 
 
 Hands-on experience in Python based development
 
 
 Hands-on experience on multi cloud (Azure, AWS and GCP)
 
 
 Hands on experience AI/ML implementation
 
 
 Hands on experience GenAI and Agentic AI
 
</div>

Data Scientist (Traditional ML)

ACL Digital

<div>
 
 Key Responsibilities:
 
 <ul>
 <li>
 Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products (Demand Forecasting good to have skills).
 </li>
 <li>
 Incorporate financial modelling and corporate finance principles into forecasting frameworks to support long-term strategic planning.
 </li>
 <li>
 Develop robust, data-driven models that incorporate market dynamics, patient behaviour, and competitive intelligence to generate accurate and actionable forecasts.
 </li>
 <li>
 Collaborate cross-functionally with marketing, commercial, and research teams to ensure alignment of forecasts with strategic objectives and product positioning.
 </li>
 <li>
 Leverage statistical, machine learning, and deep learning techniques to uncover insights that inform launch strategies and optimize product performance.
 </li>
 <li>
 Partner with key business stakeholders to identify, scope, and execute predictive analytics initiatives that address critical business needs and deliver measurable value.
 </li>
 <li>
 Maintain a strong understanding of the pharmaceutical landscape from financial operations to commercialization To provide objective, data-driven input into strategic decisions.
 </li>
 <li>
 Collaborate within the analytics team, openly sharing knowledge and seeking feedback to enhance the quality and impact of analytical deliverables.
 </li>
 <li>
 Stay current with emerging techniques and tools in predictive analytics, ensuring methodological rigor and adaptability in approach.
 </li>
 <li>
 Work comfortably with varied data sources and types, ensuring seamless integration and analysis across structured and unstructured datasets.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Minimum of 5 years of working experience as a Data Scientist in industry.
 </li>
 <li>
 Deep and broad knowledge of Data Science methods and tools including Simulation model building principles, Machine Learning, and best practices:
 </li>
 <li>
 Point Forecasting and Probabilistic Forecasting.
 </li>
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 Statistical Forecasting: ARIMA, THETA, Exponential Smoothing
 </li>
 <li>
 ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression
 </li>
 <li>
 DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN
 </li>
 <li>
 Hierarchical Forecasting
 </li>
 <li>
 Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out
 </li>
 <li>
 MLOps is also good to have skills.
 </li>
 <li>
 Any type of simulation model experience (Good to have).
 </li>
 <li>
 Agent-based Simulation Model using Anylogic (Good to have).
 </li>
 <li>
 Exposure to LLM or GPT good to have skills
 </li>
 </ul>
 
 
 
 
 
 Key Skills:
 
 Data Scientist, Machine Learning, Statistical Forecasting, Python
 
 
 
</div>

Data Scientist

Capgemini

<div>
 
 Job Description
 
 
 
 Data Scientist Description:
 
 
 Degree and Qualification:
 
 
 <ul>
 <li>
 BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in data science, AI, or a related field is preferred.
 
 
 </li>
 </ul>
 Number of Years of Experience as a Data Analyst / Scientist: 3-8 years
 
 
 Language Skills:
 
 
 <ul>
 <li>
 Good communication skills in English, proficiency in German is an added advantage.
 
 
 </li>
 </ul>
 Domain Knowledge:
 
 
 <ul>
 <li>
 Strong understanding of supply chain and supplier performance evaluation processes.
 </li>
 <li>
 Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers.
 </li>
 <li>
 Basic knowledge of plant logistics and operational efficiency.
 
 
 </li>
 </ul>
 Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production.
 
 
 Digital Expertise:
 
 
 <ul>
 <li>
 Power BI Desktop (advanced):
 </li>
 <li>
 Advanced knowledge of building dashboards, creating data models, and writing DAX expressions,
 </li>
 <li>
 Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI
 </li>
 <li>
 Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios.
 </li>
 <li>
 Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story.
 </li>
 <li>
 Power BI Service (advanced):: Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways.
 </li>
 <li>
 Machine Learning &amp; AI:
 </li>
 <li>
 Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection.
 </li>
 <li>
 Familiarity with AI concepts like neural networks, NLP, or reinforcement learning.
 </li>
 <li>
 Data Wrangling &amp; Analysis:
 </li>
 <li>
 Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Experience in PySpark for distributed data processing and large-scale data transformation.
 </li>
 <li>
 Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets.
 </li>
 <li>
 Communication &amp; Stakeholder Management:
 </li>
 <li>
 Ability to effectively communicate technical insights to non-technical stakeholders.
 </li>
 <li>
 Strong customer-facing communication skills and experience collaborating with cross-functional teams.
 
 
 </li>
 </ul>
 Behavioral / Personal Skills:
 
 
 <ul>
 <li>
 Willingness to learn and apply new skills.
 </li>
 <li>
 High adaptability and readiness to handle unstructured tasks.
 </li>
 <li>
 Strong analytical mindset, with a focus on problem-solving and result-oriented thinking.
 </li>
 <li>
 Team player with excellent communication and interpersonal skills.
 
 
 </li>
 </ul>
 Job Location: Bengaluru
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist Engineer

A.P. Moller - Maersk

<div>
 
 Job - Data Scientist (4+ yrs)
 
 
 Location- Bengaluru/Pune
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Perform exploratory data analysis and various data analysis
 </li>
 <li>
 Build robust data pipeline jobs
 </li>
 <li>
 Design, implement and monitor Machine Learning models
 </li>
 <li>
 Conduct A/B testing
 </li>
 <li>
 Collaborate with cross-functional teams
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 :
 
 
 <ul>
 <li>
 Proficiency in Python.
 </li>
 <li>
 Bachelors's degree in Mathematics, Statistics, or a related field.
 </li>
 <li>
 Strong proficiency in data analytics and statistical analysis
 </li>
 <li>
 Excellent problem-solving skills and ability to deliver actionable insights.
 </li>
 <li>
 Strong communication skills and ability to collaborate effectively with cross-functional teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Proficiency in PySpark and SQL
 </li>
 <li>
 Master's degree in Mathematics, Statistics, or a related field.
 </li>
 <li>
 Experience building interactive dashboards by e.g. Dash or Streamlit.
 </li>
 <li>
 Experience with a code-based data orchestration framework such as Airflow, Luigi, Dagster or similar
 </li>
 <li>
 Knowledge of MLOps.
 
 
 </li>
 </ul>
 Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
 
 
 We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
</div>

Explore 468+ Senior data scientist in Mangaluru India this November. Find roles across top companies and apply now to boost your career.

468 senior data scientist jobs IN Mangaluru India

Data Scientist/Senior Data Scientist - Gen AI (3 to 5 Years)

Data Scientist/Sr. Data Scientist-Data Science-AA&I

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Data Scientist (Traditional ML)

Data Scientist

Data Scientist Engineer

Data Scientist