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applied scientist ii, last mile science Jobs in Mangaluru

applied scientist ii, last mile science

data scientist

Ericsson

<div>
 
 Join our Team
 
 
 
 About this opportunity:
 
 
 Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards.
 
 
 What you will do:
 
 
 <ul>
 <li>
 Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively.
 </li>
 <li>
 Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems.
 </li>
 <li>
 Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others.
 </li>
 <li>
 Develop solutions using on-premise and cloud-based machine learning.
 </li>
 <li>
 Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill.
 </li>
 <li>
 Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson.
 
 
 </li>
 </ul>
 The skills you bring:
 
 
 <ul>
 <li>
 DevSecOps.
 </li>
 <li>
 Business Understanding.
 </li>
 <li>
 Artificial Intelligence Systems.
 </li>
 <li>
 Software Engineering.
 </li>
 <li>
 Data Management.
 </li>
 <li>
 Ericsson Business Intelligence and Analytics Competence.
 </li>
 <li>
 Open-Source Programming Languages.
 </li>
 <li>
 Data Preprocessing.
 </li>
 <li>
 Statistics.
 </li>
 <li>
 Cloud Development.
 </li>
 <li>
 Machine Learning Algorithms.
 
 
 </li>
 </ul>
 Experience - 8 to 10 years
 
 
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion 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 Employer. learn more.
 
 
 
 Primary country and city:
 
 India (IN) ||
</div>

Data Scientist

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 
 Headline :
 
 Builds and uses data science knowledge and expertise, supporting projects and building data science products and solutions.
 
 
 
 Role Responsibilities &amp; Key Accountabilities:
 
 
 
 <ul>
 <li>
 Supports projects, leveraging technical expertise to remove obstacles and to find creative solutions.
 </li>
 <li>
 Builds data science products and solutions utilising data science techniques directly.
 </li>
 <li>
 Creates compelling proposals with technologists and business to drive innovation from conception to production with appropriate success metrics.
 </li>
 <li>
 Builds and uses domain expertise in financial market content, data science and LSEG data and products.
 </li>
 <li>
 Writes highly optimised code for LSEG products and solutions.
 
 
 </li>
 </ul>
 Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Degree or equivalent
 </li>
 <li>
 Moderate experience in a data science related role
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 The Fixed Income Reference team collects, manages, and supplies content related to Bonds . This content is used extensively across by clients and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
 
 
 
 The role of the Data Scientist is to:
 
 
 
 Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
 
 
 
 Essential Day-to-Day Responsibilities:
 
 
 
 <ul>
 <li>
 Data handling, data processing and programming
 </li>
 <li>
 Develop automated solutions for sourcing/loading Fixed Income Reference data into Database
 </li>
 <li>
 Analyze Fixed Income Reference content to establish patterns/trends
 </li>
 <li>
 Develop, improve and run quantitative models
 </li>
 <li>
 Generate solutions through AI &amp; machine learning for core processes
 </li>
 <li>
 Work with business, content and product groups for large-scale analytics problems
 </li>
 <li>
 Build POCs, visualizations and pipeline tools for product design and development
 </li>
 <li>
 Work with development groups for deployment of analytics solutions
 </li>
 <li>
 Interact with other internal teams as needed, with supervision.
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills:
 
 
 
 <ul>
 <li>
 Understanding of algorithms, model building, and evaluation
 </li>
 <li>
 Strong understanding of machine learning algorithms
 </li>
 <li>
 Knowledge of neural networks and deep learning frameworks
 </li>
 <li>
 Extensive experience using Python or R or equivalent
 </li>
 <li>
 Skills in transforming and preparing data for model training
 </li>
 <li>
 Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
 </li>
 <li>
 Solid relational database skills
 </li>
 <li>
 Solid understanding of statistics and statistical language such as R
 </li>
 <li>
 Ability to handle large quantities of data
 </li>
 <li>
 Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
 </li>
 <li>
 Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

<div>
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Minimum 7
 
 + years of professional experience
 
 in advanced analytics, machine learning, or applied data science roles.
 </li>
 <li>
 Strong hands-on proficiency in
 
 SQL and Python
 
 for data analysis, model development, and automation.
 </li>
 <li>
 Proven experience working as an
 
 Individual Contributor
 
 , owning end-to-end model development and delivery.
 </li>
 <li>
 
 Location:
 
 Bangalore or Hyderabad.
 </li>
 <li>
 Demonstrated hands-on experience with
 
 Machine Learning and Operations Research (OR) models
 
 .
 </li>
 <li>
 Proven ability to
 
 design, develop, evaluate, and deploy innovative, highly scalable ML models
 
 in production environments.
 </li>
 <li>
 Strong exposure to
 
 Large Language Models (LLMs)
 
 for insight generation and advanced analytical use cases.
 </li>
 <li>
 Experience in
 
 deploying and maintaining models in production
 
 , including performance monitoring and optimization.
 </li>
 <li>
 Strong
 
 stakeholder management skills
 
 , with the ability to collaborate effectively across business, product, and engineering teams.
 </li>
 <li>
 
 Good to have:
 
 Familiarity with
 
 agentic architectures
 
 and next-generation AI frameworks.
 </li>
 </ul>
 
 
 
 
 
 Key Job Responsibilities
 
 
 <ul>
 <li>
 Apply
 
 machine learning and advanced analytical techniques
 
 to develop scalable solutions for complex business problems.
 </li>
 <li>
 Analyze and extract actionable insights from
 
 large-scale historical business data
 
 to automate and optimize key operational processes.
 </li>
 <li>
 
 Design, develop, evaluate, and deploy
 
 innovative, high-performance ML models at scale.
 </li>
 <li>
 Collaborate closely with
 
 data science and engineering teams
 
 to drive real-time and production-grade model implementations.
 </li>
 <li>
 Partner with
 
 Operations and Product teams
 
 to identify problem statements and propose effective ML-driven solutions.
 </li>
 <li>
 Establish
 
 scalable, efficient, and automated frameworks
 
 for large-scale data analysis, model development, validation, deployment, and ongoing maintenance.
 </li>
 <li>
 Proactively work with engineering teams and product managers to
 
 advocate new algorithms and modeling approaches
 
 , and lead the implementation of complex ML solutions in production environments.
 </li>
 </ul>
 
 
</div>

Asper.ai

<div>
 
 
 About Us
 
 
 
 Asper.ai, a Fractal company, enables interconnected and automated decisions at the intersection of demand and supply. By changing how decisions are made, Asper.ai unlocks growth and transforms organizations into adaptive, intelligent enterprises. Through its &lsquo;automatic decisioning&rsquo; platform, Asper.ai works with data to provide proactive, interconnected, and automated decisions that help customers reach their true potential &ndash; from optimizing workflows to growing the bottom line.
 
 
 
 This role focuses on improving system reliability and learning through applied research. It requires framing decision-making problems as learning and optimization tasks, designing experiments, and translating research insights into deployable improvements. The role strengthens the system&rsquo;s ability to reason, adapt, and improve over time.
 
 
 
 
 
 
 Why work with us?
 
 
 
 &bull; Experience a fast paced, growing, and stable start-up with a culture of care at heart. You will be enabled to be your best every day &ndash; personally &amp; professionally.
 
 
 &bull; Be a part of the AI revolution and bring to life solutions that make a difference to the world.
 
 
 &bull; Coming to work will not feel monotonous &ndash; you get to work with some of the brightest and the nicest colleagues you will meet and build bonds for life. We work hard and have fun together as well.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Conduct core scientific research to improve agentic reasoning reliability and learning.
 </li>
 <li>
 Define
 
 agent&ndash;environment&ndash;reward formulations
 
 for decision intelligence workflows.
 </li>
 <li>
 Frame learning problems using
 
 Deep Reinforcement Learning
 
 , preference learning, or
 
 supervised fine-tuning
 
 .
 </li>
 <li>
 Design and evaluate reasoning paradigms such as
 
 Chain-of-Thought
 
 ,
 
 Tree-of-Thought
 
 , and
 
 multi-step planning
 
 .
 </li>
 <li>
 Curate datasets for training and evaluating reasoning agents.
 </li>
 <li>
 Contribute to
 
 knowledge system learning
 
 , including
 
 graph updates
 
 and
 
 ontology refinement
 
 .
 </li>
 <li>
 Collaborate closely with AI Engineers to translate research outcomes into production systems.
 </li>
 </ul>
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 Advanced degrees or strong academic research background is a plus.
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 2&ndash;6+ years of experience in Data science, Applied research, or ML engineering roles.
 </li>
 <li>
 Hands-on experience with deep learning or reinforcement learning projects.
 </li>
 </ul>
 
 
 Skills &amp; Expertise
 
 
 <ul>
 <li>
 Strong proficiency in
 
 PyTorch
 
 /
 
 TensorFlow
 
 and deep learning frameworks.
 </li>
 <li>
 Working knowledge of
 
 reinforcement learning algorithms
 
 (MDPs, PPO, DPO, GRPO, etc.).
 </li>
 <li>
 Experience with transformers, LLM fine-tuning (SFT, LoRA, QLoRA).
 </li>
 <li>
 Solid understanding of
 
 classical ML
 
 and statistical learning concepts.
 </li>
 <li>
 Strong analytical and experimental design skills.
 </li>
 </ul>
 
 
 Personal Attributes (Must Haves)
 
 
 <ul>
 <li>
 Strong scientific curiosity and problem-solving mindset.
 </li>
 <li>
 Ability to balance research depth with practical impact.
 </li>
 <li>
 Comfortable working on open-ended problems.
 </li>
 </ul>
</div>

Brillio

<div>
 
 Data Scientist
 
 
 
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test
 
 
 </li>
 </ul>
 Specialization
 
 
 <ul>
 <li>
 Data Science Advanced: Data Specialist
 
 
 </li>
 </ul>
 Job requirements
 
 
 <ul>
 <li>
 Key Responsibilities: Develop and implement time series forecasting models to predict future trends, demand, and performance metrics. Leverage statistical methods, machine learning, and deep learning techniques for accurate forecasting. Work with large datasets from multiple sources and clean, process, and transform data for modeling purposes. Analyze historical data patterns and trends to identify key drivers of future outcomes. Perform data validation, anomaly detection, and ensure data integrity. Collaborate with business and technical teams to understand forecasting needs and ensure models align with business objectives. Communicate findings, insights, and predictions to both technical and non-technical stakeholders. Continuously optimize and improve forecasting models by experimenting with new algorithms, tools, and techniques. Use forecasting models to drive business decisions related to supply chain, demand planning, inventory, and more. Document processes, models, and code to ensure scalability and reproducibility. Key Requirements: Education: Bachelor's or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Experience: 5-6 years of experience in data science with a focus on time series forecasting. Proficiency in Python or R for data analysis and modeling. Strong knowledge of time series forecasting techniques such as ARIMA, SARIMA, ETS, Prophet, or LSTM. Experience with machine learning algorithms and statistical analysis. Familiarity with tools like SQL, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience working with large datasets and data pipelines in a cloud-based environment (AWS, Azure, or GCP). Strong problem-solving skills and the ability to interpret complex data. Excellent communication and presentation skills to translate complex data findings into actionable insights for business teams.
 </li>
 </ul>
</div>

Data Scientist - R01542454

Capgemini

<div>
 
 Job Description
 
 
 
 
 JD
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Support on Fine-tuning and optimize LLMs/VLMs for specific tasks.
 </li>
 <li>
 Support on building and deploy models using PyTorch and Python ML libraries.
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Proficiency in Python, PyTorch, CNNs, and Computer vision.
 </li>
 <li>
 Experience with LLM/VLM frameworks (e.g., Transformers, CLIP, BLIP).
 </li>
 <li>
 Knowledge of model deployment, evaluation and benchmarking.
 
 
 </li>
 </ul>
 
 Mandatory Skills:
 
 
 
 Computer Vision, Python, PyTorch, CNN, LLN/VLM
 
 
 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, Product Analytics

Explore 302+ Data scientist in Mangaluru this January. Find roles across top companies and apply now to boost your career.

302 data scientist jobs IN Mangaluru

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - R01542454

Data Scientist

Data Scientist, Product Analytics