706 Data Science Analyst jobs in Bengaluru
Data Science Analyst
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JD – Data Science Analyst - Media Analytics
Experience: 7–8 years
Location: Bangalore (Onsite)
Notice Period: Candidates who can join within 30 days may only apply
Job Summary
We are looking for a Senior Data Science Analyst with strong expertise in Media Analytics and a proven track record in driving marketing measurement and optimization. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimize media investments.
Required Skills & Experience
- 7–8 years of experience in Data Science/Analytics with a strong focus on media measurement, marketing effectiveness, and performance optimization.
- Hands-on expertise in advanced statistical modeling, attribution, and experimental design.
- Proficiency in tools such as Python, R, SQL, and visualisation platforms (Tableau/Power BI).
- Experience in Media Mix Modeling (MMM) is a plus.
Key Responsibilities
- Lead the design, development, and implementation of media analytics solutions to evaluate channel and campaign effectiveness.
- Analyze large-scale marketing, consumer, and business performance datasets to generate actionable insights.
- Partner with business, marketing, and analytics teams to define measurement frameworks and KPIs.
- Translate advanced statistical analyses into clear, business-focused insights and recommendations.
- Stay updated with the latest trends in media analytics, measurement methodologies, and tools.
- Mentor and guide junior analysts in media analytics and advanced measurement techniques.
Data Science Analyst
Posted 1 day ago
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Role Overview
We seek a motivated Data Science analyst to design, implement, and optimize cutting-edge generative AI solutions. Youll work closely with senior engineers to build applications leveraging LLMs (e.g., GPT-4, Claude, Gemini), diffusion models, and multimodal systems while adhering to ethical AI practices. This will be a hands-on individual contributor role.
Key Responsibilities
Model Development & Fine-Tuning
Assist in developing, training, and fine-tuning generative models (text, image,code) using frameworks like PyTorch, TensorFlow, or JAX.
Implement RAG (Retrieval-Augmented Generation) pipelines and optimize prompts for specific domains.
Tooling & Integration
Build applications using tools like LangChain, LlamaIndex, or Hugging Face Transformers.
Integrate GenAI APIs (OpenAI, Anthropic, Mistral) into enterprise workflows.
Prompt Engineering
Design and test advanced prompting strategies (e.g., few-shot learning, chain-of-thought, ReAct frameworks) for domain-specific tasks (legal, healthcare, finance).
Create reusable prompt templates for common workflows (customer support, code generation, content moderation).
Evaluation & Optimization
Develop metrics for hallucination reduction, output consistency, and safety alignment.
Optimize model inference costs using quantization, distillation, or speculative decoding.
Collaboration
Work with cross-functional teams (product, data engineers, UX) to deploy AI solutions.
- Document technical processes and contribute to knowledge-sharing sessions.
Qualifications
Education: Bachelors/Masters in Computer Science, Data Science, or related field.
Technical Skills:
Proficiency in Python and familiarity with AI/ML libraries (PyTorch, TensorFlow).
- Basic understanding of NLP (tokenization, attention mechanisms) and neural architectures (Transformers, GANs).
Experience with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
Proficiency in prompt engineering tools: LangChain, DSPy, Guidance, or LMQL.
Experience with AI deployment tools: FastAPI, Docker, or MLflow for model serving
AI/GenAI Exposure and experience with at least two of the following:
Hands-on projects with LLMs (fine-tuning, prompt engineering) or diffusion models.
- Familiarity with vector databases (Pinecone, Milvus) and orchestration tools.
- Fine-tuning/training LLMs (e.g., Llama 2, Mistral) using LoRA, QLoRA, or RLHF.
- Building RAG pipelines with vector DBs (Pinecone, Weaviate) and embedding models (BERT, OpenAI text-embedding).
- Developing applications with diffusion models (Stable Diffusion, DALL-E) or autoregressive architectures (GPT variants).
Contributions to NLP projects (sentiment analysis, NER, text summarization) using libraries like spaCy or NLTK.
Soft Skills:
Strong problem-solving abilities and curiosity about emerging AI trends.
- Ability to communicate technical concepts to non-technical stakeholders.
Preferred Qualifications Additions
Certifications:
Azure: Microsoft Certified: Azure AI Engineer Associate.
- GCP: Google Cloud Professional Machine Learning Engineer.
Data Science Analyst
Posted 1 day ago
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Job Description: Data Science Analyst
Key responsibilities
- Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation
- Develop and implement basic machine learning models and algorithms under the guidance of senior data scientists to extract insights and solve business problems
- Proactive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior/lead data science analysts.
- KPIs: Timeliness, accuracy, manager and client feedback (Internal and external as required)
- Collaborate with internal stakeholders and demonstrate the ability to transform client questions and problems into analytical solutions
- Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions
- Build industry knowledge on the advancements in the field of analytics, data science and GenAI
- Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture.
Key activities
- Working in a team to support end-to-end analytical projects
- Liaising with stakeholders to determine objectives / scope of upcoming projects
- Data exploration, cleansing and manipulation
- Determining appropriate type of analysis and undertaking analysis/modelling
- Extracting insights
- Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools
- Participate in client meetings
- Ongoing stakeholder interaction (internal and external as required) on project progress
- Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team
- Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team
Experience and education required
- 2-4+ years' experience in a technical analytics environment, carrying out data analytics and data science/AI projects and initiatives
- Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline
- Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts
- Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment
- Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches
- Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS
- Experience in visualization and data management tools is an added advantage
- Experience in GenAI/ LLMs is an added advantage
- Experience working with complex datasets
- Attention to detail and self driven continuous learning
- Participation in external data hackathons and competitions will be an added advantage
About The Cigna Group
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
Data science analyst
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Job Description
Data science analyst
Posted today
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Data Science Analyst
Posted 6 days ago
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Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
- Analyze complex datasets to uncover trends, patterns, and actionable insights.
- Develop predictive models and statistical analyses to support business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Build dashboards and visualizations to communicate findings effectively to stakeholders.
- Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
- Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Solid understanding of machine learning algorithms and statistical methods.
- Excellent problem-solving and communication skills.
- A curious mindset with a passion for exploring data.
Why Join Us?
- Opportunity to work on exciting, high-impact projects.
- Collaborative and supportive work environment.
- Resources for professional development and growth.
- A chance to shape the future of data-driven decision-making.
Data Science Analyst
Posted today
Job Viewed
Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
- Analyze complex datasets to uncover trends, patterns, and actionable insights.
- Develop predictive models and statistical analyses to support business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Build dashboards and visualizations to communicate findings effectively to stakeholders.
- Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
- Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Solid understanding of machine learning algorithms and statistical methods.
- Excellent problem-solving and communication skills.
- A curious mindset with a passion for exploring data.
Why Join Us?
- Opportunity to work on exciting, high-impact projects.
- Collaborative and supportive work environment.
- Resources for professional development and growth.
- A chance to shape the future of data-driven decision-making.
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Data Science Analyst
Posted today
Job Viewed
Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
- Analyze complex datasets to uncover trends, patterns, and actionable insights.
- Develop predictive models and statistical analyses to support business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Build dashboards and visualizations to communicate findings effectively to stakeholders.
- Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
- Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Solid understanding of machine learning algorithms and statistical methods.
- Excellent problem-solving and communication skills.
- A curious mindset with a passion for exploring data.
Why Join Us?
- Opportunity to work on exciting, high-impact projects.
- Collaborative and supportive work environment.
- Resources for professional development and growth.
- A chance to shape the future of data-driven decision-making.
Data Science Analyst (Senior)
Posted today
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Job Description
Data Science Analyst (Senior) with skills Data Science, Python, Data Modeling, AI/ML Development, Data Science, GenAI Fundamentals for location Any Infogain Base Location (Noida, Gurugram, Bangalore, Mumbai, Pune)
Posted on: June 23, Share on Linkedin Share on Twitter Share on FacebookROLES & RESPONSIBILITIES
Core Skills
5–8 Years’ Proven Experience : Demonstrated track record in architecting and delivering data-driven solutions across the full project lifecycle
Exceptional Communication : Able to clearly articulate complex technical concepts to both business stakeholders and engineering teams, facilitating alignment and decision-making.
Business-to-Architecture Translation : Expert at deconstructing strategic business requirements into scalable, secure technical designs and roadmaps.
Data Science & ML/GenAI Expertise : Hands-on with model development, training pipelines, and GenAI integrations—transforming analytics and AI proof-of-concepts into production realities.
Data Architecture & Pipeline Development : Deep knowledge of batch and streaming patterns—designing ETL/ELT workflows, data lakes, and real-time data platforms.
Cloud Platform Mastery : Proficient in at least one major cloud ecosystem (AWS, Azure or Google Cloud), including compute, storage, networking and managed data services.
EXPERIENCE
SKILLS
ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.
Data Science Analyst (Lead)
Posted today
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Job Description
Data Science Analyst (Lead) with skills Data Science, Data Science for location Bangalore, India
Posted on: September 23, Share on Linkedin Share on Twitter Share on FacebookROLES & RESPONSIBILITIES
Core Skills
Extract clean facts from notes and pinpoint the real “fixed” time for each case (traditional ML where needed).
Assemble the right datasets in Microsoft Fabric/OneLake that agents and dashboards will use—kept accurate and up to date.
Build simple prediction scores (e.g., “likely remote fix,” “likely wrong part”) to guide agent decisions.
Tune Data Agents and Power BI so plain-language questions return correct, consistent answers (context + instructions).
Set up quality checks and evals to verify results regularly (are answers grounded? are predictions accurate?).
EXPERIENCE
SKILLS
ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.