Data Scientist
7 days ago
Data Scientist – AI Solutions for Food & Beverage
Kochi, Smart City | AI/ML | Real-World Applications | Full-time
About the Role:
We're looking for a hands-on, client-facing Data Scientist who can turn messy, real-world data into smart, scalable AI solutions for some of the top Food & Beverage (F&B) brands across India, the GCC, UK, and US.
You'll be stepping into a high-impact role previously held by one of our top performers. From day one, you'll work closely with the delivery lead, collaborate with clients, and ship production-ready models that drive business outcomes.
What You'll Do:
- Work on applied AI use cases across demand forecasting, inventory optimization, production planning, quality control, and more.
- Build and deploy models using Python, Pandas, scikit-learn, PyTorch or TensorFlow.
- Support the development of Datadivr accelerators like
VisionPro
,
InventoryIQ
,
PlaceRight
, and custom AI agents.
- Translate business requirements into data problems and propose actionable, explainable solutions.
- Collaborate closely with delivery leads, product managers, and clients—often sitting in on client calls and presenting your work.
- Participate in weekly sprint reviews, client feedback loops, and team retrospectives.
Required Skills:
- 2–3 years of professional experience as a Data Scientist, ideally in a consulting company.
- Strong Python programming skills and familiarity with data science libraries.
- Experience with at least one deployment framework (e.g. Streamlit, FastAPI, Flask).
- Comfortable with SQL and data wrangling for messy, semi-structured data.
- Ability to break down and explain ML concepts to non-technical stakeholders.
- Hands-on experience in building and deploying data/ML pipelines on Azure, AWS, or on-premise environments.
Bonus If You Have:
- Experience with computer vision projects (e.g. defect detection, OCR, object recognition).
- Familiarity with MLOps tools like MLflow, DVC, or Airflow.
- Familiarity with Gen AI, LLM's, prompt engineering, embeddings & RAG.
- Worked in F&B, manufacturing, or supply chain domains.
What Success Looks Like in 90 Days:
- Complete onboarding and shadow 2 ongoing client engagements.
- Take full ownership of 1 AI use case (build, ship, support).
- Proactively contribute ideas to strengthen our accelerators (VisionPro, etc).
- Build trust with clients and peers by communicating clearly and delivering consistently.
Why Join Us?
- You'll work on real problems for real businesses—and see your work in production.
- You'll have access to global clients, autonomy, and the opportunity to shape solutions end-to-end.
- We're a lean and passionate team that values clarity, ownership, and doing things that matter.
To fast-track your application to the top of the pile, please send an email with your resume attached and a brief Loom recording (less than 5 minutes) introducing yourself and telling us why you think you'd be a good fit to , with "Dive Deep" in the subject line.
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