data scientist

data analyst

analyst

product analyst

analyst, data quality Jobs in Mangaluru India

analyst, data quality

analytical data scientist

Data Scientist, Product Analytics

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>
 <li>
 Statistical Forecasting: ARIMA, THETA, Exponential Smoothing
 </li>
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 ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression
 </li>
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 DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN
 </li>
 <li>
 Hierarchical Forecasting
 </li>
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 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

Kaplan

<div>
 
 
 Job Description
 
 
 
 For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work.
 
 
 Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students&rsquo; lives.
 
 
 The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.
 
 
 As a Data Scientist at Kaplan, you will play a pivotal role in driving data-informed decisions and developing cutting-edge solutions that enhance our educational products and services. You will leverage your expertise in machine learning, statistical modeling, and data analysis to extract meaningful insights from complex educational datasets. You will collaborate with product managers, engineers, and educators to identify opportunities for innovation and develop data-driven solutions that directly impact student learning and teacher effectiveness.
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 
 Develop and deploy advanced machine learning models:
 
 Design, implement, and evaluate machine learning models for tasks such as personalized learning recommendations, student performance prediction, content optimization, and educational resource analysis.
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 Hands on experience in preparation of
 
 evaluation datasets
 
 and defining
 
 evaluation metrics
 
 for model training experiments.
 </li>
 <li>
 
 Conduct in-depth data analysis:
 
 Explore and analyze large datasets from various sources (e.g., student learning platforms, assessment data, user behavior logs) to identify trends, patterns, and insights that inform product development and educational strategies.
 </li>
 <li>
 
 Design and execute experiments:
 
 Develop and implement A/B testing and other experimental designs to evaluate the effectiveness of educational interventions and product features.
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 Communicate insights and recommendations:
 
 Effectively communicate complex data insights and recommendations to both technical and non-technical audiences through visualizations, presentations, and reports.
 </li>
 <li>
 
 Collaborate with cross-functional teams:
 
 Work closely with product managers, engineers, educators, and researchers to define project goals, develop data-driven solutions, and ensure successful implementation.
 </li>
 <li>
 
 Stay up-to-date with the latest advancements:
 
 Continuously research and evaluate new machine learning techniques, tools, and best practices relevant to the education technology domain.
 </li>
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 Contribute to the development of data infrastructure:
 
 Work with data engineers to ensure data quality, accessibility, and scalability.
 </li>
 <li>
 Work on building products and features that use Generative AI
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 <li>
 Hybrid Schedule: 3 days remote / 2 days in office
 </li>
 </ul>
 
 
 
 
 
 
 Minimum Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master's in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 3+ years of experience as a Data Scientist, with a proven track record of developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Strong proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, pandas, NumPy) and LLMs ( ChatGPT, Gemini, Llama, Claude) etc.
 </li>
 <li>
 Strong Proficiency in Transformer Architecture, Multimodality, RAG Pipelines and Prompt Engineering.
 </li>
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 Experience with statistical modeling, data mining, and machine learning algorithms.
 </li>
 <li>
 Experience in SQL and working with relational databases.
 </li>
 <li>
 Experience working with cloud platforms (e.g., AWS, GCP, Azure).
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to translate complex technical concepts into clear and concise language.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Experience with MLOps workflow with tools such as Weights and Biases, MLFLow etc
 </li>
 <li>
 Experience in integrating model monitoring in production
 </li>
 <li>
 Passion for education and a desire to make a positive impact on student learning.
 </li>
 <li>
 Experience with educational data and learning analytics is a plus.
 </li>
 <li>
 Experience with Natural Language Processing and CNN Models is a plus.
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Publications in peer-reviewed journals or conferences related to machine learning or education technology.
 </li>
 <li>
 Experience working with large-scale educational datasets.
 </li>
 <li>
 Experience with recommender systems.
 </li>
 <li>
 Experience with time series analysis.
 </li>
 </ul>
 
 
</div>

PhonePe

<div>
 
 
 Job Description:
 
 
 
 We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
 </li>
 <li>
 Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
 </li>
 <li>
 Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
 </li>
 <li>
 Design and implement scalable data pipelines and real-time analytics solutions.
 </li>
 <li>
 Guide and mentor data scientists, fostering a culture of innovation and best practices.
 </li>
 <li>
 Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
 </li>
 <li>
 Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
 </li>
 <li>
 Present findings and recommendations to key stakeholders in a clear and actionable manner.
 </li>
 <li>
 Work closely with engineering teams to deploy ML models into production environments at scale.
 </li>
 <li>
 Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Bachelor's or Master&rsquo;s degree
 
 in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
 </li>
 <li>
 
 6+ years of experience
 
 in data science, machine learning, or applied statistics. Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 <li>
 Strong expertise in
 
 Python, SQL
 
 with proficiency in
 
 machine learning frameworks
 
 such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of
 
 big data technologies
 
 (Spark, PySpark, Hadoop, or similar).
 </li>
 <li>
 Hands-on experience in
 
 model deployment
 
 using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
 </li>
 <li>
 Expertise in
 
 statistical modeling, predictive analytics
 
 .
 </li>
 <li>
 Experience working with
 
 real-time and batch-processing systems
 
 .
 </li>
 <li>
 Demonstrated ability to
 
 translate business problems into data science solutions
 
 .
 </li>
 <li>
 Excellent problem-solving, critical-thinking, and analytical skills.
 </li>
 <li>
 
 Strong communication and stakeholder management skills
 
 , with the ability to explain technical concepts to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 </ul>
</div>

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)

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>

HSBC

<div>
 
 Some Careers Have More Impact Than Others.
 
 
 
 If you&rsquo;re looking for a career where you can make a real impression, join HSBC and discover how valued you&rsquo;ll be.
 
 
 HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
 
 
 We are currently seeking an experienced professional to join our team in the role of
 
 Machine Learning Data Scientist
 
 
 
 
 Business: Global Banking &amp; Markets
 
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 The Role Holder will be responsible for leading the data science activities within the project, working with business analysts, data scientists and developers:
 </li>
 <li>
 Reviewing the proof of concept, current state and opportunities to utilise AI/ML in the Trade and Transaction Reporting Controls area.
 </li>
 <li>
 Proposing appropriate AI/ML models and techniques that will best fit with the data domains, volumes, available tools and business priorities.
 </li>
 <li>
 Using a range of AI/ML techniques and programming languages to transform data, analyse data and identify potential data quality issues.
 </li>
 <li>
 Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance.
 </li>
 <li>
 Working with technology to integrate and separate data feeds to map, produce, transform and test new machine learning pipelines.
 </li>
 <li>
 Work with Business Partners to clarify problems/opportunities and propose solutions underpinned by strong data analysis of underlying controls and processes
 </li>
 <li>
 To understand and operate within HSBC&rsquo;s AI/ML governance and procedures
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Relevant Bachelor's or equivalent University degree in AI/Machine Learning.
 </li>
 <li>
 Evidence of a successful track record of leading delivery of AI/ML solutions within Markets/Investment Banks.
 </li>
 <li>
 Strong data scientist with experience in anomaly detection techniques, particularly in the trade data domain.
 </li>
 <li>
 Awareness of a broad range of ML techniques.
 </li>
 <li>
 Google Vertex an advantage.
 </li>
 <li>
 Good overall understanding of Primary Trading systems, trading products and front to back trade lifecycle flows.
 </li>
 <li>
 Demonstrated experience working with SMEs and key stakeholders to support understanding of the problem/data.
 </li>
 <li>
 Be capable of communicating complex data science/AI/ML techniques and processes to business users and SMEs
 </li>
 <li>
 Drive and resilience as must be comfortable working in rapidly changing and ambiguous situations.
 </li>
 <li>
 Hands on ability to perform data analysis to drive business insights and decision making.
 </li>
 <li>
 Proactive and willing to use own initiative to resolve issues.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 <li>
 Structured and methodical in planning their own book of work, delivery of artefacts, managing multiple competing priorities and setting expectations with stakeholders.
 
 
 </li>
 </ul>
 
 You&rsquo;ll achieve more at HSBC
 
 
 
 HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.&rdquo;
 
 
 Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
 
 
 <ul>
 <li>
 Issued By HSBC Electronic Data Processing (India) Private LTD***
 </li>
 </ul>
</div>

Machine Learning Data Scientist (Blr)

Explore 457+ Analytical data scientist in Mangaluru India this November. Find roles across top companies and apply now to boost your career.

457 analytical data scientist jobs IN Mangaluru India

Data Scientist, Product Analytics

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Traditional ML)

Data Scientist

Machine Learning Data Scientist (Blr)