Senior Data Scientist

About the job

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience.

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

We are proud of:

- The work we do and the innovation we drive

- Our values of share, care a nd dare

- A workplace culture that fosters creativity, diversity and autonomy

- Our borderless, global framework, which enables seamless collaboration

The role

As a Data Scientist , you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 5+YEARS of experience, a growth mindset and a drive to make a lasting impact.

You will thrive in this role if you are:

- A curious problem solver who challenges the status quo

- A collaborator who values teamwork and knowledge-sharing

- Excited by the intersection of technology, creativity and data

- Experienced in Agile methodologies and consulting (a plus)

Role responsibilities

Generative AI Innovation & Strategy

- Lead GenAI Initiatives: Spearhead the identification of business scenarios where Generative AI (LLMs, GANs, Diffusion models) can be effectively applied to create tangible value.

- R&D & Prototyping: Research, design, and prototype cutting-edge approaches, exploring existing scientific research to inform solution development.

- Feasibility Analysis: Evaluate the technical and economic feasibility of Generative AI solutions for real-world client use cases.

- Vision Shaping: Collaborate with Product Managers and stakeholders to shape a clear, forward-looking vision of AI technology and its practical applications.

Technical Execution & Implementation

- End-to-End Development: Implement and validate AI solutions for diverse business challenges, writing production-ready code using best engineering practices.

- Optimization: Optimize deep learning models for production environments to ensure scalability and latency requirements are met.

- Cross-Functional Collaboration: Collaborate closely with the ML Engineering team throughout all stages of the lifecycle, from initial research to final implementation.

- Data Strategy: Oversee the data mining process, including data collection, cleansing, and exploratory analysis to support model training and fine-tuning.

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

- Experience & Education

- Total Experience : Minimum of 4+ years in Data Science and Analytics.

- Specialized Experience : Minimum 3+ years focused specifically on developing generative models (LLMs, GANs, VAEs, Diffusion models) and Deep Learning.

- Education : Bachelor’s or Master’s Degree in Computer Science, Mathematics, Applied Statistics, or a related field.

Technical Skills

Core AI/ML : Expertise in Computer Vision and NLP, with specific experience handling multimodal data (images, text, audio).

GenAI Stack : Familiarity with Gemini, OpenAI GPT-x, open-source LLMs (Llama, Mistral, etc.), and experience in fine-tuning models (PEFT, LoRA). • Retrieval-Augmented Generation (RAG): Expertise in designing RAG architectures to ground LLM responses in proprietary data.

Vector Databases : Proficiency with vector stores such as Pinecone, Milvus, Weaviate, or ChromaDB for efficient semantic search and retrieval.

Prompt Engineering : Advanced skills in prompt optimization, chain-of-thought reasoning, and framework usage (e.g., LangChain, LlamaIndex).

Programming: Strong programming skills in Python with proven ability to write clean, production-ready code.

Frameworks: Proficiency with deep learning frameworks such as PyTorch or TensorFlow.

Cloud: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).

Soft Skills

Communication : Excellent fluency in English (B2+ or higher) with the ability to explain complex technical concepts to non-technical audiences.

Problem Solving : A strategic thinker capable of devising holistic solutions for complex customer issues.

Nice to have qualifications

- Experience with MLOps tools (e.g., MLflow, Kubeflow) and practices for deploying and monitoring AI models.

- Responsible AI: Knowledge of AI ethics, bias detection, and safety guardrails (e.g., NeMo Guardrails) for deploying LLMs securely.

- API Development: Experience wrapping models in APIs using FastAPI or Flask for integration with frontend applications.

- Knowledge of Reinforcement Learning (RLHF) and self-supervised learning approaches.

- Experience with emerging Generative AI architectures.

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.

Commitment to reaching all kinds of people

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.

The benefits

This is a fultime position based in Bengaluru .

Beyond a competitive compensation package, we offer:

- Flexibility, with remote and hybrid work options (country-dependent)

- Career advancement, with international mobility and professional development programs

- Learning and development, with access to cutting-edge tools, training and industry experts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com .

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Are you ready to create what’s next? Join us.