data analyst

data scientist

associate software engineer Jobs in Mangaluru

associate software engineer

data engineer

(ind) staff, data scientist Jobs in Mangaluru

(ind) staff, data scientist

associate data scientist

Anko GCC

<div>
 Anko is the global capability centre for Kmart Group Australia, fuelling growth aspirations of iconic Australian retail brands Kmart, Target and Anko. Based in Bangalore, India, we strive to accelerate retail innovation by building competitive capabilities in Technology, Data Sciences and Business Services that enable our brands to deliver delightful experiences to our in-store and online customers
 
 
 Basic understanding of statistics - Conceptual understanding of Probability, hypotheses testing &amp; data handling techniques
 
 
 Programming Languages such as Python
 
 
 Data extraction and manipulations using SQ
 
 
 
 Perks And Benefits We&rsquo;ll Offer You
 
 
 
 
 A place you can belong
 
 
 
 We celebrate the rich diversity of the communities in which we operate. We are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe, and strive to ensure our recruitment process is accessible and welcoming, with applications encouraged from all candidates.
</div>

Associate Data Scientist

PwC Acceleration Center India

<div>
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 The Opportunity
 
 
 When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you&rsquo;ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You&rsquo;ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
 
 
 As part of the AI Engineering team you will design and deliver innovative AI applications that transform business operations. As a Senior Associate, you will collaborate with cross-functional teams to develop scalable solutions, driving enterprise innovation while staying at the forefront of emerging technologies and industry trends.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement innovative AI applications to improve business operations
 </li>
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 Collaborate with cross-functional teams to develop scalable solutions
 </li>
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 Stay abreast of emerging technologies and industry trends
 </li>
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 Analyze business requirements to inform application development
 </li>
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 Provide technical guidance and support to team members
 </li>
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 Drive enterprise innovation through successful project execution
 </li>
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 Confirm solutions meet quality standards and client expectations
 </li>
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 Contribute to knowledge sharing and practices within the team
 
 
 </li>
 </ul>
 What You Must Have
 
 
 <ul>
 <li>
 Bachelor's Degree
 </li>
 <li>
 3 years of experience in Data Science/ML/AI roles
 </li>
 <li>
 Oral and written proficiency in English
 
 
 </li>
 </ul>
 What Sets You Apart
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Engineering
 </li>
 <li>
 Hands-on experience with Generative AI solutions
 </li>
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 Proficiency in Python and data science libraries
 </li>
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 Familiarity with cloud platforms like Azure
 </li>
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 Understanding of production-level AI systems
 </li>
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 Experience with Docker and containerized deployments
 </li>
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 Knowledge of NLP techniques and transformer architectures
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions
 </li>
 <li>
 Experience in deploying AI models via APIs
 </li>
 </ul>
</div>

Data Scientist- Sr Associate

NatWest Group

<div>
 Join our digital revolution in NatWest Digital X
 
 
 In everything we do, we work to one aim. To make digital experiences which are effortless and secure.
 
 
 So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.
 
 
 Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
 
 
 This role is based in India and as such all normal working days must be carried out in India.
 
 
 
 Job Description
 
 
 
 Join us as a Data Scientist, Python
 
 
 <ul>
 <li>
 You&rsquo;ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
 </li>
 <li>
 We&rsquo;ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank&rsquo;s strategic direction through better use of data
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 This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
 </li>
 <li>
 We're offering this role at associate level
 
 
 
 </li>
 </ul>
 What you'll do
 
 
 As a Data Scientist, you&rsquo;ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We&rsquo;ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.
 
 
 You&rsquo;ll also be:
 
 
 <ul>
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 Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
 </li>
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 Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
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 Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
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 Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
 </li>
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 Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
 
 
 
 </li>
 </ul>
 The skills you'll need
 
 
 You&rsquo;ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You&rsquo;ll have experience with statistical modelling and machine learning techniques.
 
 
 You'll need at least five years of experience in Python, NLP and SQL. You'll also need experience in machine and deep learning and experience in at least one of the algorithms like Logistic Regression or KNN or Random Forest.
 
 
 You&rsquo;ll also demonstrate:
 
 
 <ul>
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 The ability to use data to solve business problems from hypotheses through to resolution
 </li>
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 Experience using programming language and software engineering fundamentals
 </li>
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 Experience of Cloud applications and options
 </li>
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 Experience in synthesising, translating and visualising data and insights for key stakeholders
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 Experience of exploratory data analysis
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 Good communication skills with the ability to proactively engage with a wide range of stakeholders
 
 
 </li>
 </ul>
</div>

Data Scientist, Python

SoftwareOne

<div>
 
 
 Are you passionate about designing intelligent, data-driven solutions that help businesses make smarter decisions?
 
 Do you thrive on solving complex challenges using cutting-edge cloud and AI technologies?&nbsp;
 
 
 
 &nbsp;
 
 
 
 We are seeking a highly skilled and experienced Solution Architect &ndash; Data &amp; AI for Microsoft Azure to join our team and play a crucial role in designing and implementing data analytics and AI solutions on the Azure platform. The ideal candidate will have a deep understanding of Azure data services, AI technologies, and a track record of architecting scalable and efficient solutions to address complex business challenges.&nbsp;
 
 
 
 &nbsp;
 
 
 
 
 Key Responsibilities :
 
 
 
 <ul>
 <li>
 
 Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data and AI solutions, and create architectural diagrams and documentation.&nbsp;
 
 </li>
 <li>
 
 Azure Expertise: Leverage extensive knowledge of Azure services such as Azure Synapse Analytics, Azure Data Factory, AI Foundry, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric , Azure Cognitive Services, and Azure OpenAI to architect robust platforms. &nbsp;
 
 </li>
 <li>
 
 Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.&nbsp;
 
 </li>
 <li>
 
 Scalability and Performance: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.&nbsp;
 
 </li>
 <li>
 
 Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.&nbsp;
 
 </li>
 <li>
 
 Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.&nbsp;
 
 </li>
 <li>
 
 Solution Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.&nbsp;
 
 </li>
 <li>
 
 Collaboration: Work closely with data engineers, data scientists, business analysts, and partners to understand their needs and provide technical guidance.&nbsp;
 
 </li>
 <li>
 
 Innovation: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data and AI capabilities.&nbsp;
 
 </li>
 </ul>
 
 Job Requirements
 
 <ul>
 <li>
 
 Experienced Solution Architect with a strong focus on Azure data analytics and cloud technologies.
 
 </li>
 <li>
 
 Hands-on expertise with AI Foundry, Synapse, Data Factory, Databricks, Azure ML, Purview, Fabric, Cognitive Services, Azure OpenAI, and Power BI.
 
 </li>
 <li>
 
 Strong knowledge of data modeling, ETL/ELT, data warehousing, and data governance.
 
 </li>
 <li>
 
 Proficiency in Python, SQL, and data transformation techniques.
 
 </li>
 <li>
 
 Excellent problem-solving, with ability to design creative solutions for complex data challenges.
 
 </li>
 <li>
 
 Strong communication skills across technical and non-technical teams.
 
 </li>
 <li>
 
 Experience with Agile, version control, and working independently across multiple priorities.
 
 </li>
 <li>
 
 Pre-sales experience; ability to support requirement gathering, user stories, estimation, and solution documentation.
 
 </li>
 <li>
 
 Experience contributing to development, unit testing, troubleshooting, deployment packaging, and user documentation.
 
 </li>
 <li>
 
 Bachelor&rsquo;s or associate degree in IT or related subject area.&nbsp;
 
 </li>
 <li>
 
 Certification in Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure AI Engineer Associate and Microsoft Certified: Azure Data Scientist Associate or Azure Data Engineer Associate is required.&nbsp;
 
 </li>
 </ul>
 
 Company description
 
 
 
 
 &nbsp;
 
 
 
 SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world-class learning and development programs. Whether you're passionate about cloud, software, data, AI, or building meaningful client relationships, you&rsquo;ll find a place to thrive here. Join us and be part of a purpose-driven culture where your ideas matter, your growth is supported, and your career can go global.&nbsp;
 
 
</div>

Presales Solution Architect - Azure Data & AI

Syngene International Limited

<div>
 Date: 10 Oct 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Discovery Services
 
 
 
 Job Title: Invivo Pharmacology Scientist
 
 
 
 
 Job Location: Bangalore
 
 
 
 
 JOB PURPOSE (Briefly Describe The Objectives Of The Job)
 
 
 
 Responsible for executing the assigned in vivo efficacy studies in metabolic disorder therapeutic area.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Responsible to conduct assigned research projects including experiments with utilizing current concepts and recognized standard techniques.
 </li>
 <li>
 Responsible to set up the experimental designs, analysis of data and concluding from the progress.
 </li>
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 Record laboratory observations information in lab notebooks, database and document the experimental designs.
 </li>
 <li>
 Responsible for data analysis, perform calculations for the result of the experiment.
 </li>
 <li>
 Summarize the research and communicate result of research to the supervisor.
 
 
 </li>
 </ul>
 
 Educational Qualification
 
 
 
 <ul>
 <li>
 M.Pharm Pharmacology
 </li>
 <li>
 M.V.Sc Pharmacology / Pathology
 </li>
 <li>
 M.Sc Neuroscience / Biochemistry / Biotechnology
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 0 - 6 years of Industrial experience
 
 
 
 Technical /Functional Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in execution of CNS disease models which includes psychiatric disorders such as anxiety, depression, PTSD etc., and neurological conditions like Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cerebral ischemia and epilepsy.
 </li>
 <li>
 Hands-on experience in animal behavioral observation, quantification of animal behavior, experience in stereotaxic surgery, microdialysis, cannulation techniques, immunohistochemistry and ELISA.
 </li>
 <li>
 Will work independently or in association with senior scientists and other associates in the design and execution of in-vivo efficacy experiments in the relevant therapeutic area.
 </li>
 <li>
 Experience in animals handling (rodents and non rodents) such as dosing by various routes, bleeding by various routes, injections by various routes and surgical modalities which includes cannulation etc&hellip;
 </li>
 <li>
 Associate to provide technical, analysis and reporting outcomes of research for projects in relevant therapeutic area.
 </li>
 <li>
 Organizational skills and the ability to work in a highly collaborative environment are required.
 
 
 </li>
 </ul>
 
 Behavioral/Managerial Skills
 
 
 
 <ul>
 <li>
 Good communication skills
 </li>
 <li>
 Excellent interpersonal skills.
 </li>
 <li>
 Good team player
 </li>
 <li>
 Strong documentation Skills.
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodation for qualified individuals with disabilities.
</div>

in vivo pharmacologist

Meesho

<div>
 
 About The Team
 
 
 
 Our Data Science team is the Avengers to Meesho&rsquo;s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We&rsquo;ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
 
 
 Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
 
 
 As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
 
 
 But wait &ndash; there&rsquo;s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting &ldquo;Summer of 69&rdquo; at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️
 
 
 
 About The Role
 
 
 
 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
 
 
 In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Develop models and run experiments to infer insights from hard data
 </li>
 <li>
 Improve our product usability and identify new growth opportunities
 </li>
 <li>
 Understand reseller preferences to provide them with the most relevant products
 </li>
 <li>
 Designing discount programs to help our resellers sell more
 </li>
 <li>
 Help resellers better recognise end-customer preferences to improve their revenue
 </li>
 <li>
 Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
 </li>
 <li>
 Model seasonal demand to predict key organisational metrics
 </li>
 <li>
 Mentor junior data scientists in the team
 
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in computer science (or similar degrees)
 </li>
 <li>
 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
 </li>
 <li>
 Familiarity with Neural Networks, Machine Learning etc.
 </li>
 <li>
 Familiarity with tools like SQL, R, Python, etc.
 </li>
 <li>
 Strong understanding of Statistics and Linear Algebra
 </li>
 <li>
 Strong understanding of hypothesis/model testing and ability to identify common model testing errors
 </li>
 <li>
 Experience designing and running A/B tests and drawing insights from them
 </li>
 <li>
 Proficiency in machine learning algorithms
 </li>
 <li>
 Excellent analytical skills to fetch data from reliable sources to generate accurate insights
 </li>
 <li>
 Experience in tech and product teams is a plus
 
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Experience in working on personalization or other ML problems
 </li>
 <li>
 Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
 </li>
 </ul>
</div>

Data Scientist III

Licious

<div>
 
 Data Scientist
 
 
 
 
 
 Licious is a fast-paced, innovative D2C brand revolutionizing the meat and seafood
 
 
 industry in India. We leverage cutting-edge technology, data science, and customer
 
 
 insights to deliver unmatched quality, convenience, and personalization. Join us to
 
 
 solve complex problems at scale and drive data-driven decision-making!
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Data Scientist with 5+ years of experience to build and deploy
 
 
 advanced ML models (LLMs, Recommendation Systems, Demand Forecasting) and
 
 
 generate actionable insights. You will collaborate with cross-functional teams (Product,
 
 
 Supply Chain, Marketing) to optimize customer experience, demand prediction, and
 
 
 business growth.
 
 
 
 
 
 Key Responsibilities:
 
 
 1. Machine Learning &amp; AI Solutions:
 
 
 ● Develop and deploy Large Language Models (LLMs) for customer support
 
 
 automation, personalized content generation, and sentiment analysis.
 
 
 ● Enhance Recommendation Systems (collaborative filtering, NLP-based,
 
 
 reinforcement learning) to drive engagement and conversions.
 
 
 ● Build scalable Demand Forecasting models (time series, causal inference) to
 
 
 optimize inventory and supply chain.
 
 
 2. Data-Driven Insights:
 
 
 ● Analyze customer behavior, transactional data, and market trends to uncover
 
 
 growth opportunities.
 
 
 ● Create dashboards and reports (using Tableau/Power BI) to communicate
 
 
 insights to stakeholders.
 
 
 3. Cross-Functional Collaboration:
 
 
 ● Partner with Engineering to productionize models (MLOps, APIs, A/B testing).
 
 
 ● Work with Marketing to design hyper-personalized campaigns using CLV, churn
 
 
 prediction, and segmentation.
 
 
 4. Innovation &amp; Scalability:
 
 
 ● Stay updated with advancements in GenAI, causal ML, and optimization
 
 
 techniques.
 
 
 ● Improve model performance through feature engineering, ensemble methods,
 
 
 and experimentation.
 
 
 
 
 
 Qualifications:
 
 
 ● Education: BTech/MTech/MS in Computer Science, Statistics, or related fields.
 
 
 ● Experience: 4+ years in Data Science, with hands-on expertise in:
 
 
 &cir; LLMs (GPT, BERT, fine-tuning, prompt engineering).
 
 
 &cir; Recommendation Systems (matrix factorization, neural CF, graph-based).
 
 
 &cir; Demand Forecasting (ARIMA, Prophet, LSTM, Bayesian methods).
 
 
 &cir; Python/R, SQL, PySpark, and ML frameworks (TensorFlow, PyTorch, scikit-
 
 
 learn).
 
 
 &cir; Cloud platforms (AWS/GCP) and MLOps tools (MLflow, Kubeflow).
 
 
 
</div>

Data Scientist 2

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