data scientist

consultant data science Jobs in Mangaluru

consultant data science

data analyst

product analyst

senior data scientist

analytical data scientist

Data Scientist, Product Analytics

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA)
 
 
 
 Min Experience: 4 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a Data Scientist to lead the end-to-end data science lifecycle&mdash;from problem definition and hypothesis development to model deployment planning and performance evaluation. This role focuses on building scalable, production-ready machine learning solutions that drive insights across content, audience, growth, and revenue use cases.
 
 
 You will work closely with product, editorial, growth, sales, and engineering teams to identify high-impact opportunities and translate complex data into actionable business outcomes.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Own the complete data science workflow including problem framing, feature engineering, model development, validation, and deployment planning
 </li>
 <li>
 Develop and operationalize machine learning models for forecasting, personalization, churn prediction, attribution, ranking, and content intelligence
 </li>
 <li>
 Build content and audience intelligence using NLP techniques such as embeddings, semantic similarity, topic and entity modeling, summarization, and relevance scoring
 </li>
 <li>
 Design sales and advertising analytics solutions including demand forecasting, pricing optimization, uplift modeling, and campaign effectiveness measurement
 </li>
 <li>
 Perform advanced statistical analysis including causal inference, A/B testing, experiment design, incrementality, and uplift measurement
 </li>
 <li>
 Partner with data engineering teams to develop scalable data pipelines and model training workflows
 </li>
 <li>
 Define and maintain unified KPIs and measurement frameworks to evaluate content performance and audience behavior across platforms
 </li>
 <li>
 Monitor model performance, detect drift, ensure robustness, fairness, and governance of deployed models
 </li>
 <li>
 Deliver executive-ready insights through dashboards, automated reports, and clear data storytelling
 </li>
 <li>
 Collaborate with cross-functional teams to prioritize initiatives with the highest business impact
 </li>
 <li>
 Contribute to code and design reviews, mentor peers, and raise analytical standards across the organization
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 
 
 Must-Have
 
 
 
 
 <ul>
 <li>
 4-7 years of applied data science experience delivering measurable business impact
 </li>
 <li>
 Strong proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) and SQL
 </li>
 <li>
 Hands-on experience building and validating ML models including regression, classification, forecasting, clustering, recommendation systems, uplift models, and NLP-based solutions
 </li>
 <li>
 Solid foundation in statistics, probability, hypothesis testing, experimental design, and causal inference
 </li>
 <li>
 Experience working with large-scale datasets and cloud platforms such as AWS, Azure, or GCP
 </li>
 <li>
 Familiarity with BI and visualization tools like Tableau, Power BI, or Plotly
 </li>
 <li>
 Strong analytical thinking, communication, and data storytelling skills
 
 
 </li>
 </ul>
 
 
 Good-to-Have
 
 
 
 
 <ul>
 <li>
 Experience with deep learning frameworks such as TensorFlow or PyTorch
 </li>
 <li>
 Exposure to big data technologies like Spark, Hadoop, or Databricks
 </li>
 <li>
 Familiarity with MLOps practices, model monitoring, and production ML workflows
 
 
 </li>
 </ul>
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
 
 
 </li>
 </ul>
 
 Key Skills
 
 
 
 Data Science
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Pandas
 </li>
 <li>
 NLP
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 SQL
 </li>
 <li>
 AWS
 </li>
 <li>
 Statistics
 </li>
 <li>
 Experimentation
 </li>
 </ul>
</div>

Data Scientist

Qualitest

<div>
 
 Data Scientist &ndash; QA &amp; AI Enablement (Hub Model)
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the client hub-and-spoke engagement model. The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 </li>
 <li>
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 </li>
 <li>
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 </li>
 <li>
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 </li>
 <li>
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 </li>
 <li>
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 </li>
 <li>
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience (Must Haves)
 
 
 
 <ul>
 <li>
 AI / Machine Learning: Proficiency level 4/5
 </li>
 <li>
 Predictive Modeling: Proficiency level 4/5
 </li>
 <li>
 Data Modeling Implementation: Proficiency level 3/5
 </li>
 </ul>
</div>

Data Scientist- QA and AI Enablement

Rakuten Symphony

<div>
 
 
 Job Title: Data Scientist (3 to 8 Yrs)
 
 
 
 
 Location: Bangalore, Hybrid
 
 
 
 
 Preferred Skills
 
 - Telecom experience (e.g., working with network data, customer analytics) is a plus.
 
 
 
 Please note &ndash; This role requires F2F(In-Person) Interview in Bangalore office.
 
 
 
 
 
 
 
 
 Why should you choose us?
 
 
 
 
 Rakuten Symphony is a Rakuten Group company, that provides global B2B services for the mobile telco industry and enables next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan&rsquo;s newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business &ndash; from sales to engineering, support functions to product development. Let&rsquo;s build the future of mobile telecommunications together!
 
 
 
 
 
 
 
 What Do We Expect From You
 
 
 
 
 We are seeking a skilled and motivated Data Scientist to join our team in India. The ideal candidate will play a key role in designing, building, and deploying advanced data-driven solutions to support business decision-making and enhance mobile network performance. You&rsquo;ll collaborate with cross-functional teams to transform data into actionable insights that drive innovation across Rakuten Mobile&rsquo;s operations..
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 Data Modeling &amp; Analysis
 
 
 <ul>
 <li>
 Design and develop statistical and machine learning models to solve complex business problems in telecom, including customer behavior analysis, network optimization, and fraud detection.
 </li>
 <li>
 Perform exploratory data analysis, data wrangling, and feature engineering to prepare high-quality datasets for modeling.
 </li>
 </ul>
 
 
 Model Development &amp; Deployment
 
 
 <ul>
 <li>
 Build, train, evaluate, and deploy predictive models using Python and industry-standard ML frameworks.
 </li>
 <li>
 Work with engineering teams to deploy models into production environments, ensuring scalability and performance.
 </li>
 </ul>
 
 
 Business Collaboration
 
 
 <ul>
 <li>
 Partner with business stakeholders, product managers, and engineers to understand business needs and translate them into data science solutions.
 </li>
 <li>
 Present insights and model results in a clear and concise manner to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 Data Infrastructure &amp; Tooling
 
 
 <ul>
 <li>
 Utilize cloud platforms (AWS, GCP, Azure) to build scalable data pipelines and ML workflows.
 </li>
 <li>
 Leverage tools like TensorFlow, PyTorch, Scikit-learn, and Spark to handle large-scale data processing and modeling.
 </li>
 </ul>
 
 
 Continuous Improvement &amp; Research
 
 
 <ul>
 <li>
 Stay current with the latest developments in AI/ML and apply new techniques to telecom-specific challenges.
 </li>
 <li>
 Contribute to the development of best practices and guidelines for data science within the team.
 </li>
 </ul>
 
 
 
 
 
 
 Skills and Qualifications:
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
 </li>
 </ul>
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Strong foundation in statistics, machine learning, and data mining techniques.
 </li>
 <li>
 Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, etc.).
 </li>
 <li>
 Experience with ML frameworks (TensorFlow, PyTorch) and data processing tools (Spark, SQL).
 </li>
 <li>
 Hands-on experience with cloud services and data pipelines (AWS, GCP, or Azure).
 </li>
 <li>
 Telecom experience (e.g., working with network data, customer analytics) is a plus.
 </li>
 </ul>
 
 
 Analytical &amp; Problem-Solving Skills
 
 
 <ul>
 <li>
 Ability to analyze large datasets, extract insights, and apply them to solve business problems.
 </li>
 <li>
 Strong critical thinking skills with attention to detail and accuracy.
 </li>
 </ul>
 
 
 Communication &amp; Collaboration
 
 
 <ul>
 <li>
 Effective communicator with the ability to explain complex concepts clearly.
 </li>
 <li>
 Comfortable working in cross-functional teams and contributing to a collaborative environment.
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in telecom use cases such as customer churn prediction, network performance analysis, and anomaly detection.
 </li>
 <li>
 Familiarity with containerization and deployment tools (Docker, Kubernetes).
 </li>
 <li>
 Knowledge of CI/CD practices and MLOps frameworks for model lifecycle management.
 </li>
 <li>
 Exposure to NLP, time-series forecasting, or deep learning techniques.
 </li>
 </ul>
 
 
 
 
 
 Rakuten Shugi Principles:
 
 
 <ul>
 <li>
 Our worldwide practices describe specific behaviours that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
 </li>
 <li>
 
 Always improve, always advance.
 
 Only be satisfied with complete success - Kaizen.
 </li>
 <li>
 
 Be passionately professional.
 
 Take an uncompromising approach to your work and be determined to be the best.
 </li>
 <li>
 
 Hypothesize - Practice - Validate - Shikumika.
 
 Use the Rakuten Cycle to success in unknown territory.
 </li>
 <li>
 
 Maximize Customer Satisfaction.
 
 The greatest satisfaction for workers in a service industry is to see their customers smile.
 </li>
 <li>
 
 Speed!! Speed!! Speed!!
 
 Always be conscious of time. Take charge, set clear goals, and engage your team.
 </li>
 </ul>
 
 
</div>

Gallagher

<div>
 
 Introduction
 
 
 
 Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what&rsquo;s right.
 
 
 We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive.
 
 
 At Gallagher, you&rsquo;ll find more than a job; you&rsquo;ll find a culture built on trust, driven by collaboration, and sustained by the belief that we&rsquo;re better together. Experience a workplace where you&rsquo;re encouraged to be yourself, supported to succeed, and inspired to keep learning. That&rsquo;s what it means to live The Gallagher Way.
 
 
 Founded in 2006, the Gallagher Center of Excellence (GCoE) upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers.
 
 
 
 Overview
 
 
 
 We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products&rsquo; and services&rsquo; efficiency and usability. Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationship with stakeholders. Should be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques.
 
 
 
 How You'll Make An Impact
 
 
 
 <ul>
 <li>
 Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
 </li>
 <li>
 Artificial Intelligence &amp; Machine learning Techniques: Expert level knowledge on AI / ML techniques. Implement algorithms and statistical models to enable a computer to automatically learn from data.
 </li>
 <li>
 Strong knowledge of Python &amp; R, MS Azure ML Studio, AWS, or Google Cloud.
 </li>
 <li>
 Knowledge of data science toolkits such as R, NumPy, and MatLab.
 </li>
 <li>
 Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
 </li>
 <li>
 Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Python, Java, R, and SQL.
 </li>
 <li>
 Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
 </li>
 <li>
 Analytical thinking. Find analytical solutions to abstract business issues.
 </li>
 <li>
 Business intuition: Connect with stakeholders to gain a full understanding of the problems they&rsquo;re looking to solve.
 </li>
 <li>
 Interpersonal skills: Communicate across a diverse audience across all levels of an organization.
 </li>
 <li>
 Critical thinking: Apply objective analysis of facts before coming to a conclusion.
 </li>
 <li>
 Inquisitiveness: Look beyond what&rsquo;s on the surface to discover patterns and solutions within the data.
 </li>
 <li>
 Perform data mining, exploration, and analysis.
 </li>
 <li>
 Ability to store and process unstructured data with NoSQL databases and machine learning models
 </li>
 <li>
 Design, train, and implement machine learning algorithms.
 </li>
 <li>
 Strong attention to detail and accuracy of output.
 </li>
 <li>
 Advanced knowledge of SQL and Excel.
 </li>
 <li>
 Strong Data Visualization skills preferably MS PowerBI.
 </li>
 <li>
 Keeping up to date with the latest tools and trends.
 </li>
 <li>
 Excellent verbal and written Communication skills
 </li>
 <li>
 Leverage predictive models to optimize customer experiences.
 </li>
 <li>
 Creating automated anomaly detection.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Technical Bachelor&rsquo;s Degree. Preferably in statistics, computer science, mathematics, or engineering.
 </li>
 <li>
 3+ year of relevant experience.
 </li>
 <li>
 Strong domain knowledge.
 </li>
 <li>
 Should be ready work in shifts.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Compensation and benefits
 
 
 
 On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.
 
 
 Below are the
 
 minimum core benefits
 
 you&rsquo;ll get, depending on your job level, these benefits may improve:
 
 
 <ul>
 <li>
 Medical Insurance and Parental Medical Insurance
 </li>
 <li>
 Accidental Insurance and Life Insurance
 </li>
 <li>
 Retirals - Employee Gratuity, Future Service Gratuity benefit - Group Term Life, Employee Provident Fund, National Pension Scheme
 </li>
 <li>
 Flexi Benefits Plan - Tax Savings Plans
 </li>
 <li>
 Annual Leave/ Maternity &amp; Paternity Leave/ Additional paid ML, Mental Health Day
 
 
 </li>
 </ul>
 
 Other
 
 
 benefits include:
 
 
 
 <ul>
 <li>
 Employee Wellness Programs
 </li>
 <li>
 Training programs
 </li>
 <li>
 And more..
 
 
 </li>
 </ul>
 
 We value inclusion and diversity
 
 
 
 Inclusion and diversity (I&amp;D) is a core part of our business, and it&rsquo;s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.
 
 
 Gallagher embraces our employees&rsquo; diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.
 
 
 Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination.
</div>

Amadeus

<div>
 
 Job Title
 
 
 
 Data Scientist 3
 
 
 
 About The Role
 
 
 
 You will join a multidisciplinary team of software engineers, data engineers, data scientists, product specialists, and designers working on next-generation
 
 AI-powered solutions
 
 for airport and airline operations. As part of the Data Spark
 
 Agile Release Train
 
 , you will collaborate closely with colleagues in Nice and London.
 
 
 Your key responsibility will be to
 
 design, automate, and optimize machine learning workflows
 
 that power:
 
 
 <ul>
 <li>
 Real-time analytics and inferencing
 </li>
 <li>
 Predictive modeling
 </li>
 <li>
 ML foundations for generative AI capabilities
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design, implementation, and maintenance of scalable, cloud-native ML pipelines (primarily on Microsoft Azure within a multi-cloud strategy) for batch and streaming workloads.
 </li>
 <li>
 Automate the end-to-end lifecycle of ML models: data preparation, experimentation, tuning, deployment, monitoring, and continuous improvement with a focus on reproducibility and governance.
 </li>
 <li>
 Collaborate with software engineers to ensure robust integration of ML models into production systems, including API contracts, SLAs, fallbacks, and graceful degradation strategies.
 
 
 </li>
 </ul>
 
 About The Ideal Candidate
 
 
 
 <ul>
 <li>
 Proven experience building and maintaining production-grade ML pipelines in cloud environments across real-world projects.
 </li>
 <li>
 Strong hands-on experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and solid understanding of model development patterns (supervised learning, time-series forecasting, model evaluation).
 </li>
 <li>
 Practical MLOps expertise with tools like Azure Machine Learning, MLflow, or similar platforms for experiment tracking, pipeline orchestration, and model deployment.
 </li>
 <li>
 Strong command of Python for production-grade deliveries, including testing, code reviews, documentation, packaging, and version control.
 </li>
 <li>
 Experience working in Agile teams (Scrum, SAFe).
 
 
 </li>
 </ul>
 
 
 
 Diversity &amp; Inclusion
 
 
 
 
 
 Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
 
 
 Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
</div>

Data Scientist 3

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>

Explore 382+ Analytical data scientist in Mangaluru this January. Find roles across top companies and apply now to boost your career.

382 analytical data scientist jobs IN Mangaluru

Data Scientist, Product Analytics

Data Scientist

Data Scientist- QA and AI Enablement

Data Scientist

Data Scientist

Data Scientist 3

Data Scientist