data scientist

data analyst

business analyst

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analyst marketplace

analytical data scientist

Deloitte

<div>
 
 
 Customer Strategy &amp; Insights (Data Scientist/Data Engineer)
 
 
 
 
 Location:
 
 Deloitte - Bellandur, Bengaluru (Must)
 
 
 
 Shift:
 
 US/PST Shift
 
 
 
 Experience Level:
 
 3&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days only.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking experienced and business-savvy
 
 Data Scientist/Data Engineer
 
 to join our team supporting High-tech clients. You will solve complex problems using advanced analytics, statistical modeling, and machine learning to drive measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Perform exploratory data analysis and generate actionable insights.
 </li>
 <li>
 Work on classification, regression, clustering, recommendation, and forecasting models.
 </li>
 <li>
 Translate business needs into analytical frameworks and articulate insights to non-technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, business analysts and product owners.
 </li>
 <li>
 Develop and deploy machine learning models to solve real-world business challenges.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 3&ndash;9 years of hands-on experience in data science.
 </li>
 <li>
 Expertise in
 
 Python/R
 
 and ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and data wrangling
 </li>
 <li>
 Strong statistical grounding and experience with
 
 A/B testing
 
 , hypothesis testing
 </li>
 <li>
 Cloud platform experience (GCP preferred; AWS/Azure acceptable)
 </li>
 <li>
 Excellent communication, storytelling, and stakeholder engagement skills
 </li>
 <li>
 Consulting background or experience working with global clients is highly valued
 </li>
 <li>
 Good academic pedigree in quantitative disciplines (Math, Stats, CS, Engineering)
 </li>
 </ul>
 
 
 
 
 
 Additional Notes:
 
 
 <ul>
 <li>
 The first project requires working in
 
 US/PST hours
 
 from the
 
 Deloitte-Bellandur office all 5 days a week
 
 .
 </li>
 <li>
 Future projects might align to
 
 standard Indian business hours
 
 .
 </li>
 </ul>
</div>

Data Scientist

Acunor

<div>
 
 
 Job Title:
 
 Data Scientist - Forecasting &amp; AI Strategy
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 8-12 years
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 with expertise in
 
 forecasting, Python, and Databricks
 
 to drive advanced analytics initiatives. This role focuses on
 
 forecasting and elasticity models
 
 to strengthen pricing, demand planning, and business optimization strategies. You will play a critical role in designing, deploying, and scaling machine learning solutions on
 
 Azure and Databricks
 
 , ensuring real-world impact and adoption.
 
 
 
 
 
 
 Key Tasks and Accountabilities
 
 
 <ul>
 <li>
 Translate complex business challenges into analytical problems and deliver actionable insights.
 </li>
 <li>
 Own the
 
 end-to-end AI/ML lifecycle
 
 &ndash; data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
 </li>
 <li>
 Build and deploy
 
 forecasting models (time-series, regression, ML-based, deep learning)
 
 for demand planning, promotions, and pricing optimization.
 </li>
 <li>
 Develop reusable and modular Python code following
 
 OOP best practices
 
 .
 </li>
 <li>
 Architect and optimize workflows on
 
 Azure Databricks
 
 , ensuring scalability and automation with
 
 Airflow/MLFlow
 
 .
 </li>
 <li>
 Apply
 
 MLOps practices
 
 , including containerization (Docker) and CI/CD pipelines (GitHub).
 </li>
 <li>
 Collaborate with cross-functional teams (data engineering, product, commercial, finance) to deliver production-ready forecasting solutions.
 </li>
 <li>
 Mentor and guide mid-level/junior data scientists, fostering a culture of technical excellence.
 </li>
 <li>
 Clearly communicate technical findings and business impact to both
 
 technical and non-technical stakeholders
 
 , including leadership teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 B.Tech/BE/Masters in Computer Science, Data Science, AI/ML, Statistics, or related field.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 
 8&ndash;12 years of relevant experience
 
 in data science and advanced analytics.
 </li>
 <li>
 Proven track record in
 
 forecasting models
 
 (ARIMA, Prophet, regression, ML ensembles, deep learning for time-series).
 </li>
 <li>
 Strong expertise in
 
 Python (with OOP principles)
 
 and
 
 PySpark
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Azure cloud, Databricks, MLFlow
 
 , and workflow orchestration (Airflow).
 </li>
 <li>
 Practical experience with
 
 MLOps and containerization tools
 
 (Docker/Kubernetes).
 </li>
 <li>
 Strong background in deploying
 
 end-to-end ML solutions into production
 
 .
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills:
 
 
 <ul>
 <li>
 Forecasting &amp; Predictive Modeling (Time-series, ML-based, Deep Learning)
 </li>
 <li>
 Python, PySpark, Databricks (advanced proficiency)
 </li>
 <li>
 Azure Cloud ML Stack (MLFlow, Airflow, CI/CD, Git)
 </li>
 <li>
 Strong problem-solving and communication skills
 </li>
 </ul>
 
 
 
 
 
 Good to Have:
 
 
 <ul>
 <li>
 Exposure to
 
 Pricing and Revenue Management domains
 
 </li>
 <li>
 Product-building experience
 </li>
 <li>
 Experience working in global, cross-functional teams
 </li>
 </ul>
 
 
</div>

Version 1

<div>
 
 Company Description
 
 
 
 Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We&rsquo;re also an award-winning employer reflecting how employees are at the heart of Version 1.
 
 
 We&rsquo;ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
 
 
 As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We&rsquo;re focused on our core values; using these we&rsquo;ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
 
 
 
 Job Description
 
 
 
 This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customer&rsquo;s business.
 
 
 You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines.
 
 
 The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine learning, predictive modelling, and NLP) and the latest advances in multimodal large language models, including those for image, video, and text generation or understanding.
 
 
 The role will require a data scientist with excellent communication skills, that is willing to continuously learn and listen. Creative problem solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. We&rsquo;re looking for a data scientist that is inherently curious, driven, willing to learn &amp; develop, with an owning the problem and self-starter attitude.
 
 
 
 Qualifications
 
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 Excellent communication skills, including written and oral English language skills
 </li>
 <li>
 Minimum 3+ years of experience in a Data Scientist role
 </li>
 <li>
 Graduate degree in Data Science, Statistics, or another quantitative field.
 </li>
 <li>
 Solid understanding of Spark
 </li>
 <li>
 Strong foundation in statistics
 </li>
 <li>
 Solid understanding of metrics and their usage.
 </li>
 <li>
 Expert programming skills in Python and SQL and with relevant Data Science &amp; ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
 </li>
 <li>
 Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning &amp; LLMs (Gen AI).
 </li>
 <li>
 Experience with working with either Azure/AWS Cloud Environments.
 </li>
 <li>
 Python conventions, writing clean code and testing functionality
 </li>
 <li>
 Ability to work to own initiative and without heavy oversight
 </li>
 <li>
 Must show evidence of your passion for technology and continuous learning
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Familiarity with Huggingface
 </li>
 <li>
 Familiarity with Databricks
 </li>
 <li>
 Familiarity finetuning LLM.
 </li>
 <li>
 Experience working with Azure OpenAI, AWS Bedrock.
 </li>
 <li>
 Experience working with offshore team Consultancy experience
 
 
 </li>
 </ul>
 If you are up to the challenge, tick most of the boxes above and looking to own technical oversight of a highly motivated and driven team, then get in touch - we&rsquo;d love to speak with you!
 
 
 
 Additional Information
 
 
 
 At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
 
 
 One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
 
 
 We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
 
 
 Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
</div>

Cashfree Payments

<div>
 
 Cashfree Payments is India&rsquo;s leading payments and API banking company. It provides full-stack payment solutions for businesses in India to accept payments and make payouts via 180+ payment modes - all with a simple integration. Over 6,00,000+ Businesses trust Cashfree Payments with payment collections, vendor payouts, salary payouts, bulk refunds, expense reimbursements, loyalty and rewards, and so much more.
 
 
 We enable businesses of all we are building the payments infrastructure of tomorrow, today.
 
 
 We entered the payments industry in 2015 to facilitate Cash-on-Delivery payments for e-commerce businesses. We are also contributing to the pace of digitization of India by working closely with traditional banks to increase ease and convenience for last-mile customers.
 
 
 
 
 
 
 
 
 
 About the role:
 
 
 
 As the Data Scientist-2, you will :
 
 
 &bull; Work with stakeholders to define and own data science road map for one or more business areas and build the data science projects at Cashfree from scratch.
 
 
 &bull; Deliver scalable machine learning solutions to production
 
 
 &bull; Provide technical and scientific leadership to the team
 
 
 &bull; Roll up your sleeves and do hands-on work when needed
 
 
 &bull; Build strong working relationships and collaboration with leaders in product, business, and engineering teams
 
 
 &bull; Establish and improve the best data science and engineering practices for the team
 
 
 &bull; Maintain a healthy balance between delivery and applied research
 
 
 
 
 
 
 Profile :
 
 
 
 &bull; In-depth understanding of modern machine learning techniques and their mathematical underpinnings.
 
 
 &bull; 3+ years of experience in applying machine learning and statistical methods to solve complex problems at scale.
 
 
 &bull; Experience with big data technologies
 
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Everyone is empowered to make decisions.
 </li>
 <li>
 Transparency in communication keep us aware of where we are heading, and honest feedback helps everyone to grow quickly and in all directions.
 </li>
 <li>
 You also have flexible timings and a great office space to work in.
 </li>
 <li>
 Meal coupons and Uber Credits.
 </li>
 </ul>
</div>

Data Scientist-2

Societe Generale Global Solution Centre

<div>
 <ul>
 <li>
 
 
 JD: Data Scientist
 
 
 </li>
 <li>
 
 Responsibilities:
 
 </li>
 <li>
 Leverage strong ML model experience in complex data environments to achieve business objectives in innovative and efficient ways.
 </li>
 <li>
 Utilize a solid background in mathematics and statistics to inform model development and evaluation.
 </li>
 <li>
 Design, architect, and develop robust machine learning solutions, with a focus on integrating Large Language Models (LLMs) where applicable.
 </li>
 <li>
 Collaborate effectively within Agile Scrum teams, contributing to iterative development and continuous improvement.
 </li>
 <li>
 Document business processes, workflows, and requirements clearly and comprehensively.
 </li>
 <li>
 Engage in close collaboration with various domains within the organization to ensure alignment and understanding of business needs.
 </li>
 <li>
 Participate in collaborative conceptualization sessions to brainstorm and refine project ideas.
 </li>
 <li>
 
 Mandatory Skills:
 
 </li>
 <li>
 Proficiency in Python, Machine Learning, REST API, and SQL.
 </li>
 <li>
 Experience with data processing, cleansing, and verification to ensure data integrity for analysis.
 </li>
 <li>
 Conduct data quality checks and exploratory analyses to inform model development.
 </li>
 <li>
 Demonstrated programming skills in relevant languages, particularly Python and API development.
 </li>
 <li>
 Build end-to-end machine learning models, including data structures and transformation processes.
 </li>
 <li>
 Strong understanding of statistical modeling techniques (e.g., Regression, Clustering, Decision Trees, Logistic Regression).
 </li>
 <li>
 Familiarity with machine learning algorithms (e.g., KNN, Random Forests, Ensemble Methods, Bayesian/Markov Networks).
 </li>
 <li>
 Knowledge of data mining concepts and experience with data visualization tools and dashboards.
 </li>
 <li>
 
 Preferred Skills:
 
 </li>
 <li>
 Experience with Large Language Models (LLMs) such as GPT, BERT, or similar architectures.
 </li>
 <li>
 Understanding of natural language processing (NLP) techniques and their applications in business contexts.
 </li>
 <li>
 Familiarity with advanced research topics, including deep learning, kernel methods, spectral methods, and forecasting.
 </li>
 <li>
 Ability to integrate end-to-end ML solutions into product suites and business functions, with a focus on LLM applications.
 </li>
 <li>
 Design technical frameworks based on various use cases, particularly those involving text data and language understanding.
 </li>
 <li>
 Identify opportunities to automate analytical processes, data extraction, and flow processes, especially in the context of LLMs.
 </li>
 <li>
 Propose hypotheses and design experiments to address specific problems, leveraging LLM capabilities where relevant.
 </li>
 <li>
 
 Additional Responsibilities:
 
 </li>
 <li>
 Stay updated with the latest advancements in machine learning and natural language processing, particularly in the context of LLMs.
 </li>
 <li>
 Mentor junior team members on best practices in machine learning and LLM implementation.
 </li>
 <li>
 Contribute to the development of best practices and standards for machine learning and LLM projects within the organization.
 </li>
 </ul>
 
 Why Join Us
 
 
 We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
 
 Business Insight
 
 
 At Soci&eacute;t&eacute; G&eacute;n&eacute;rale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you&rsquo;re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
 
 
 Still hesitating?
 
 
 You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.
 
 
 We are committed to support accelerating our Group&rsquo;s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
 
</div>

Genpact

<div>
 
 With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world&rsquo;s biggest brands&mdash;and we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We&rsquo;re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.
 
 
 Now, we&rsquo;re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.
 
 
 
 
 
 Welcome to the relentless pursuit of better.
 
 
 Inviting applications for the role of
 
 Data Scientist
 
 
 
 
 
 
 The position is based out of India and the focus of the role is to have enterprise level experience in Predictive and NLP Model build, validation, implementation, monitoring, etc. and do analysis on data, be able to understand, translate and integrate the analysis.
 
 
 We are seeking a highly skilled and experienced Generative AI Specialist for developing and implementing cutting-edge generative models to solve complex problems using LLM technology. Need to collaborate with cross-functional teams, conduct research, and deliver innovative solutions in the field of generative artificial intelligence.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions.
 </li>
 <li>
 Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models.
 </li>
 <li>
 Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection.
 </li>
 <li>
 Ability to use creativity to spot trends and tease out patterns in large datasets.
 </li>
 <li>
 Strong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment.
 </li>
 <li>
 Analyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements.
 </li>
 <li>
 Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.
 </li>
 <li>
 Continuously think on how to improve the analytics infrastructure for the team and automate processes.
 </li>
 <li>
 Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents.
 </li>
 <li>
 Provide thought leadership within the marketing analytics community.
 </li>
 </ul>
 
 
 
 
 
 Qualifications we seek in you!
 
 
 
 
 
 
 
 Minimum qualifications
 
 
 <ul>
 <li>
 Education in Statistics, Mathematics, Computer Science, or another quantitative field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications/ Skills
 
 
 <ul>
 <li>
 Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
 </li>
 <li>
 Experience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc.
 </li>
 <li>
 Solid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models.
 </li>
 <li>
 Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models.
 </li>
 <li>
 Strong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Effective communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
 </li>
 <li>
 Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus.
 </li>
 <li>
 Prior experience in handling LLM use cases or working with large-scale language models is highly desirable.
 </li>
 <li>
 Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards.
 </li>
 <li>
 Experience with cloud computing platforms (preferably Azure) for deploying and managing machine learning models.
 </li>
 <li>
 Hands-on experience with generative AI models and techniques such as GANs, VAEs, and transformer models.
 </li>
 </ul>
 
 
 
 
 
 Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.
 
 Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube.
 
 
 Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
 
 
 
</div>

sugar.fit

<div>
 
 
 About Sugar.fit
 
 
 
 Founded in 2021 Sugar.fit provides a personalized evidence-based path to type 2 and
 
 
 pre-diabetes reversal and management. Sugar.fit leverages a precision health platform
 
 
 combining CGM sensors, machine learning, and medical science to improve human
 
 
 metabolic health and reverse chronic disease through precision nutrition, progressive fitness,
 
 
 and behavioral health advice. Our research-driven treatment plan includes innovative
 
 
 technology, compassionate diabetes experts, and personalized plans, which will help to lead
 
 
 a normal life once more.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Function
 
 : Data Science and Analysis - Data Science / Machine Learning
 
 
 
 Responsibilities:
 
 
 
 ● Quick Learners.
 
 
 ● Prior knowledge of ReactJS is a must.
 
 
 ● Comfortable with "Build fast and iterate".
 
 
 ● Project members at Sugarfit don't own code.
 
 
 ● Analyze raw data: assessing quality, cleansing, and structuring for downstream
 
 
 processing.
 
 
 ● Design accurate and scalable prediction algorithms.
 
 
 ● Collaborate with the engineering team to bring analytical prototypes to production.
 
 
 ● Generate actionable insights for business improvements.
 
 
 
 
 
 
 Requirements:
 
 
 
 ● Strong problem-solving skills with an emphasis on product development.
 
 
 ● Experience using statistical computer languages (R, Python, SLQ, etc. ) to
 
 
 manipulate data and draw insights from large data sets.
 
 
 ● Knowledge of a variety of machine learning techniques (clustering, decision tree
 
 
 learning, artificial neural networks, etc. ) and their real-world advantages/drawbacks.
 
 
 ● Excellent written and verbal communication skills for coordinating across teams.
 
 
 ● A drive to learn and master new technologies and techniques.
 
 
 ● At least 3 years of experience in quantitative analytics or data modeling.
 
 
 ● Deep understanding of predictive modeling, machine learning, clustering and
 
 
 classification techniques, and algorithms.
 
 
 ● Fluency in a programming language (Python, C, C++, Java, SQL).
 
 
 ● Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop,
 
 
 Spark, Tableau).
 
</div>

Explore 329+ Analytical data scientist in Mangaluru this September. Find roles across top companies and apply now to boost your career.

329 analytical data scientist jobs IN Mangaluru

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