data analyst

business analyst

product analyst

applied scientist 3

applied scientist 4

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

PhonePe

<div>
 
 About PhonePe Limited:
 
 
 
 Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.
 
 
 PhonePe&rsquo;s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company&rsquo;s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.
 
 
 
 Culture:
 
 
 
 At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you&rsquo;re excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!
 
 
 
 Job Description
 
 
 
 We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement machine learning models, offline batch models as well as real time online and edge compute models
 </li>
 <li>
 Analyze complex datasets and extract meaningful insights to drive business decisions
 </li>
 <li>
 Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches
 </li>
 <li>
 Communicate findings and recommendations to stakeholders effectively
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
 </li>
 <li>
 3+ years of experience in a Data Scientist role
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Solid understanding of machine learning algorithms and statistical modeling techniques
 </li>
 <li>
 Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms
 </li>
 <li>
 Hands-on experience implementing and deploying machine learning algorithms
 </li>
 <li>
 Experience with data visualization tools and techniques
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication skills, both written and verbal
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with PySpark and other big data processing frameworks
 </li>
 <li>
 Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch)
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Programming Languages: Python (required), SQL (required), Java (basic knowledge preferred)
 </li>
 <li>
 Machine Learning: Strong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision
 </li>
 <li>
 Big Data: Deep knowledge of PySpark
 </li>
 <li>
 Data Storage and Retrieval: Familiarity with databases/mlflow preferred
 </li>
 <li>
 Mathematics: Strong background in statistics, linear algebra, and probability theory
 </li>
 <li>
 Version Control: Git
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Excellent communication skills to facilitate interactions with stakeholders
 </li>
 <li>
 Ability to explain complex technical concepts to non-technical audiences
 </li>
 <li>
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Self-motivated and able to work independently as well as in a team environment
 </li>
 <li>
 Curiosity and eagerness to learn new technologies and methodologies
 
 
 </li>
 </ul>
 We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply!
 
 
 
 PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
 
 
 
 <ul>
 <li>
 Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance
 </li>
 <li>
 Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System
 </li>
 <li>
 Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program
 </li>
 <li>
 Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy
 </li>
 <li>
 Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment
 </li>
 <li>
 Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy
 
 
 </li>
 </ul>
 
 
 Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process,
 
 
 
 
 please fill out this form.
 
 
 
 
 
 
 Read more about PhonePe
 
 
 
 
 on our blog
 
 
 
 
 .
 
 
 
 
 
 Life at PhonePe
 
 
 
 
 PhonePe in the news
 
</div>

Data Scientist (3-5)

Tiger Analytics

<div>
 
 
 Job Title : Data Scientist /Senior Data Scientist-BFS
 
 
 
 
 Location
 
 
 :
 
 Chennai, Bangalore, Hyderabad
 
 
 Skills : Data Science, Model Building, Python, Regression, Classification
 
 
 Domain : BFS
 
 
 NP :Immediate to 15 Days
 
 
 
 
 
 
 Who we are
 
 
 
 Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
 
 
 Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
 
 
 We are a Great Place to Work-Certified&trade; (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the &lsquo;Best&rsquo; and &lsquo;Fastest Growing&rsquo; analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine
 
 
 
 
 
 
 Curious about the role? What your typical day would look like?
 
 
 
 As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:
 
 <ul>
 <li>
 
 Analytical Translation:
 
 Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
 </li>
 <li>
 
 Problem Solving:
 
 While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
 </li>
 <li>
 
 Client Engagement:
 
 Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.
 </li>
 <li>
 
 Algorithmic Expertise:
 
 Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
 </li>
 <li>
 
 Quantitative Mastery:
 
 Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
 </li>
 <li>
 
 Cross-Functional Collaboration:
 
 Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life
 </li>
 </ul>
 
 
 What do we expect?
 
 
 <ul>
 <li>
 4 -10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
 </li>
 <li>
 
 Mandatory
 
 : Minimum 2+ years of experience in the Banking and Financial services industry
 </li>
 <li>
 Good communication skills, both verbal and written.
 </li>
 <li>
 Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
 </li>
 <li>
 Comfortable in SQL with additional proficiency in office tools like Excel &amp; PowerPoint.
 </li>
 <li>
 Experience in production engineering best practices (e.g. Git versioning, Docker).
 </li>
 <li>
 Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
 </li>
 <li>
 Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
 </li>
 <li>
 Excitement to collaborate with diverse stakeholders across the organisation.
 </li>
 <li>
 In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
 </li>
 <li>
 Hunger to learn new technologies and embrace the change.
 </li>
 <li>
 Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
 </li>
 <li>
 Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.
 </li>
 </ul>
 
 
 You are important to us, let&rsquo;s stay connected!
 
 
 
 Every individual comes with a different set of skills and qualities so even if you don&rsquo;t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
 
 
 
 
 
 
 Note:
 
 The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
 
 
 Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities
 
 
 
</div>

Data Scientist / Senior Data Scientist- BFS

CoffeeBeans

<div>
 
 
 About CoffeeBeans Consulting
 
 
 
 CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery&mdash;from exploration and modeling to GenAI application development and deployment.
 
 
 
 
 
 
 
 
 
 
 
 Role Overvi
 
 
 
 ewAs an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistant
 
 
 s.This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI application
 
 
 
 
 
 
 
 
 
 s.
 
 
 Key Responsibili
 
 
 
 
 tiesML &amp; Data Sci
 
 
 <ul>
 <li>
 enceOwn and deliver ML model development, tuning, and evaluation for client-facing proje
 </li>
 <li>
 cts.Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervis
 </li>
 <li>
 ion.Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectati
 </li>
 <li>
 ons.Contribute to experimentation frameworks and model reproducibility best practi
 </li>
 </ul>
 
 
 
 
 
 ces.
 
 GenAI &amp; LLM Applica
 
 
 <ul>
 <li>
 tionsDesign and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Ll
 </li>
 <li>
 ama).Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI sys
 </li>
 <li>
 tems.Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context provi
 </li>
 <li>
 ders.Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app develop
 </li>
 </ul>
 
 
 
 
 
 ment.
 
 Product &amp; Engineering Collabo
 
 
 <ul>
 <li>
 rationCollaborate with engineering teams to take models from experimentation to deployment (batch/real-
 </li>
 <li>
 time).Assist in building APIs and data pipelines needed for productionizing m
 </li>
 <li>
 odels.Contribute to technical documentation, explainability reports, and client presenta
 </li>
 </ul>
 
 
 
 
 
 tions.
 
 Team &amp;
 
 
 <ul>
 <li>
 GrowthMentor junior data scientists and review code/model
 </li>
 <li>
 design.Stay current with advances in ML and GenAI to inform solution design and share knowledge inte
 </li>
 <li>
 rnally.Participate in discovery and solutioning phases with clients alongside tech leads a
 </li>
 </ul>
 
 
 
 
 
 
 
 
 nd PMs.
 
 
 Required Skills &amp; Quali
 
 
 <ul>
 <li>
 ficationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Statistics, or a relat
 </li>
 <li>
 ed field.3&ndash;5 years of hands-on experience in applied data science, including both ML model development and GenAI-based sol
 </li>
 <li>
 utioning.Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGB
 </li>
 <li>
 M, etc.).Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or
 </li>
 <li>
 similar).Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM
 </li>
 <li>
 outputs.Proficiency in SQL and data wrangling tools (pandas
 </li>
 <li>
 , NumPy).Experience working with REST APIs, Git, and cloud environments (
 </li>
 </ul>
 
 
 
 
 
 
 
 
 AWS/GCP).
 
 
 Good-to-
 
 
 <ul>
 <li>
 Have SkillsExperience with deploying models via FastAPI, Docker, or serverless
 </li>
 <li>
 platforms.Knowledge of MLOps tools (MLflow, DVC) and monitoring
 </li>
 <li>
 frameworks.Experience with embeddings, vector databases, and similar
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ity search.
 
 
 What You Can Expect a
 
 
 <ul>
 <li>
 t CoffeeBeansWork on real-world AI/ML problems acro
 </li>
 <li>
 ss verticals.Be part of a fast-moving team delivering end-to-end ML &amp;
 </li>
 <li>
 ; GenAI apps.Collaborate with experienced engineers and PMs in a flat and
 </li>
 <li>
 open culture.Opportunities to lead, mentor, and influence te
 </li>
 </ul>
 
 
 
 ch direction.
</div>

Explore 294+ Data scientist in Mangaluru this September. Find roles across top companies and apply now to boost your career.

294 data scientist jobs IN Mangaluru

Data Scientist

Data Scientist

Data Scientist

Data Scientist-2

Data Scientist (3-5)

Data Scientist / Senior Data Scientist- BFS

Data Scientist