229 Data Scientist jobs in Kochi

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.

• 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.

• 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.
  

• 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.

• 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.

• 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.

We Are Hiring!Statistician, Data Science(Remote - Contract - India)We are looking for statisticians who are proficient at data analytics, to help write code to automate generation of hypotheses and insights from statistical data. Requirements3+ years industry experience in extracting insights from statistical dataSound knowledge of statistical techniques (forecasting, time series analysis, hypothesis testing, regression, etc.)Ability to use LLMs to generate code for data analysisProficiency in R (or a strong willingness to learn)Background in statistics / quantitative economics is a massive bonus Key ResponsibilitiesWrite code to extract insights from statistical dataAutomate common analytics and data science tasks using LLMsPosition DetailsLevel: Mid to senior.Compensation: Competitive (higher-end pay for this level).Work Mode: Permanently Remote.Commitment: Full-time preferred.Contract: Initial 3-month contract, likely to be extended indefinitely.Start Date: Immediate!Company DescriptionBabbage Insight is a Proactive Insight Engine designed for business leaders, providing exceptional insights instantly without any prompts. The platform continuously monitors structured data, asks relevant questions, and anticipates user needs. Babbage can be accessed through an MCP server, a RESTful API, and a full-featured, WCAG-compliant web experience.

Role: Data Scientist Location: India (Remote)About Lingaro:Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.About DS/AI Competency Center:Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools.Website: Requirements:Must Have:5+ years of relevant professional experience, including 2+ of DS/Operations Research experience.Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.).Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQLExperience working in cloud technologies (preferred MS Azure, GCP nice-to-have).Familiarity with theory behind various machine learning conceptsExperience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban).Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment.Experience in working with client-facing role.Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope.Great communication skills.Nice to have: Other programming languages knowledge e.g., SQL, RExperience working in Spark (Py Spark)Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomedUnderstanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability)Strong statistical/mathematical backgroundExperience in working in matrix organization Tasks:Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies.Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem.Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks,Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements)Creation and following of standards to improve competency quality.Know-how and experience from projects in Supply Chain area, or optimization projects is a plusWhy join us: Stable employment. On the market since 2008, 2000+ talents currently on board in 7+ global sites.100% remote.Flexibility regarding working hours.Full-time positionComprehensive online onboarding program with a “Buddy” from day 1.Cooperation with top-tier engineers and experts.Unlimited access to the Udemy learning platform from day 1.Certificate training programs. Lingarians earn 500+ technology certificates yearly.Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.Grow as we grow as a company. 76% of our managers are internal promotions.A diverse, inclusive, and values-driven community.Autonomy to choose the way you work. We trust your ideas.Create our community together. Refer your friends to receive bonuses.Activities to support your well-being and health.Plenty of opportunities to donate to charities and support the environment.Please click on this website to submit your application: Templates/Recruitment Form.aspx?Web ID=58b86d44db3b4c5993eab2801d9d9a01

Job Description Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security Experience in building high quality applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.

Proficiency in other software engineering languages and/or methodologies Strong proficiency in Python, SQL, Jupyter/Colab notebooks Provide ongoing support for the existing ETL processes, procedures, as well as the ability to design, code and deploy new ETL pipelines to support application and business needs.

Develop an effective working relationship with Data Analysts, Data Architects, Database Administrators, and others in designing, developing, and implementing robust data management solutions.

Strong understanding of SQL/NoSQL unstructured and structured data.

Demonstrate the ability to translate business rules into ETL code while adhering to best ETL development and design practices.

Demonstrate proficiency in SQL language, as well as working knowledge of common transformation methodologies, techniques, and tools.

Skills Required 7-15 years experience in data science or data analytics.

Experience in reviewing and building dimensional data models to improve accessibility, efficiency and quality of data Experience in leading, hiring, developing, and building data engineering team and providing them technical direction.

Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs.

ETL coding for development and design practices Demonstrate good understanding of development processes and agile methodologies.

Demonstrate honesty, integrity, and professionalism at all times Excellent communication, customer service, and problem-solving skills Experience with cloud platforms, preferably Azure/AWS, and familiarity with GCP.

Build the AI that builds teams

Mercor trains large-scale models that predict on-the-job performance more accurately than any human interview. Our platform already powers hiring at top AI labs, and we scaled from $1M to $00M ARR in 11 months—making us the fastest-growing AI startup on record.

What you’ll do

In your first year you’ll ship analyses and experiments that move core product metrics—match quality, time-to-hire, candidate experience, and revenue. You’ll:

• Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems.
• Design/run A/B tests and quasi-experiments; turn results into product decisions the same week.
• Build source-of-truth dashboards and lightweight data models so teams can self-serve answers.
• Instrument events with engineers; improve data quality and latency from ingestion to insight.
• Prototype quick models (from baselines to gradient boosting) to improve matching and scoring.
• Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries.

You’ll thrive here if

You have solid fundamentals (statistics, SQL, Python) and projects you’re proud to demo. You iterate fast—frame the question, test, and ship in days—and care as much about clarity of communication as you do about p-values. Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you’ll learn alongside folks who’ve shipped at Jane Street, Citadel, Databricks, and Stripe.

Qualifications

• 0–2 years in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work).
• Strong SQL; Python for analysis; comfort with experiment design and causal thinking.
• Communicates crisply with engineers, PMs, and leadership; turns analysis into action.
• Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.

Perks

• Generous equity compensation
• $20K relocation bonus < li>
• 10K housing bonus
• 1K/month food stipend
• Equinox membership
• Health insurance

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.