--- title: 'Data Scientist - Forecasting at Lingaro' canonical: 'https://feeny.ai/job/data-scientist-forecasting-lingaro-india-08d7x2ev1r4q' type: 'job' last_seen: '2026-10-18' --- # Data Scientist - Forecasting at Lingaro - **Company:** Lingaro - **Location:** India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-02-19 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.lever.co/lingarogroup/b57c92ac-62af-40c0-a5d6-d2fa2b4444db ## Job description Data Scientist India, Remote Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics. What You'll Be Doing: - Work on end‑to‑end classification and forecasting use cases: problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction) - Explore and clean data; perform EDA to understand data and flag data quality issues. - Engineer features for tabular and time‑series data. - Train, validate, and tune standard ML models (e.g. logistic regression, tree‑based models, gradient boosting, simple neural nets, classical time‑series models). - Evaluate models with appropriate metrics that have impact on business KPIs. - Build clear visualizations and concise reports to present model results and insights to business stakeholders. - Collaborate with data engineers and AI engineers to bring models intoproduction (batch scoring, APIs, models monitoring, dashboards). - Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis). What We're Looking For: - Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.) - Knowledge of customer analytics concepts or advanced forecasting - Model hyperparameter tuning in an analytical role supporting business will be a plus - Fluency in Python, basic working knowledge of SQL - Knowledge of specific DS/ML libraries - Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure) - Basic computer programming skills and familiarity with programming concepts - Strong business acumen - Experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems What Will Set You Apart: - Understanding of Causal machine learning - Experience in working with big data and distributed environments would be a plus - Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus - Experience with OOP in Python - Experience with MLOps - Familiarity with other languages R, Scala would be a plus We offer: - Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. - “Office as an option” model. You can choose to work remotely or in the office, depending on your location. - Flexibility regarding working hours and your preferred form of contract. - Comprehensive 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. - Internal Gallup Certified Strengths Coach to support your growth. - 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. - Modern office equipment. Purchased for you or available to borrow, depending on your location. Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow. ## About Lingaro ## Company Overview - **One-liner**: Global end-to-end data and AI partner to leading brands and enterprises, turning complex data into actionable insights and AI-driven automation. - **Entity Type**: Privately Held (no public funding disclosures; bootstrapped growth assumed) - **Headquarters**: Warsaw, Poland - **Founded**: 2008 - **Founders**: Not publicly available ## Core Business - **Primary industries**: IT Services and IT Consulting; Data & Analytics; AI Services - **Target customers**: B2B, primarily large enterprises and global brands, including highly regulated industries (retail, CPG, supply chain, manufacturing) - **Mission**: Help clients achieve more with data and AI by creating data-driven and AI-augmented experiences that deliver human impact and measurable business outcomes. ## Products & Services - **Marketing & Commercial Analytics**: Marketing/media effectiveness, sales & channel execution, Revenue Growth Management (RGM), omnichannel commerce & content automation. - **Intelligent & Resilient Supply Chain**: Demand planning, sensing & forecasting, manufacturing intelligence, inventory optimization, warehouse automation, logistics analytics. - **Sustainability & Compliance**: Sustainable product intelligence & LCA, decarbonization & net zero pathway, compliance-grade reporting & risk management. - **AI & GenAI**: Custom AI models, machine learning solutions, automation including GAIA (AI sales & customer support assistant). - **Data Consulting**: Strategy development, governance frameworks, architecture design. - **Technology Consulting & Advisory**: Digital transformation guidance, technology roadmaps. - **Data Visualization**: Dashboards and reporting. - **Learning Technology & Adoption**: Training programs, user adoption strategies (5x faster adoption with 7 accelerators). - **Intelligent Operations & Support**: Managed services, 24/7 support, optimization. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Over 1,800 employees worldwide (homepage) / 1,092 according to LinkedIn (+3% YoY) - **Notable Investors/Partners**: Partnerships with leading hyperscalers (not named); no external investors publicly listed. - **Growth Signals**: - Recognized as a **Leader in ISG Provider Lens 2025** (Advanced Analytics and AI Services across Europe and the US). - **Fortune 100 Best Companies to Work For in Europe™** (2024). - **Great Place to Work®-certified** in Poland, Philippines, and India (2025). - **Best Workplaces™ in Asia** (2024). - Supports **75+ leading brands across 30+ countries**. - Workforce distributed across 25 countries; operations in 6 countries (Poland, US, Philippines, Singapore, Mexico, Switzerland). - Open positions visible on careers page (e.g., Data Engineer, AI DevOps, Supply Chain roles). ## Competitive Advantages - **End-to-end data & AI services** – from strategy/advisory to implementation, adoption, and managed support. - **Deep industry expertise** – especially in highly regulated sectors (retail, CPG, supply chain, sustainability). - **AI adoption framework** – 5x faster adoption via proprietary accelerators and change management. - **Human-centric approach** – combines design thinking, AI, and human creativity to build user-centric solutions. - **Global delivery model** – 24/7 support across time zones with strong European roots and global scale. - **Awards & recognition** – multiple Great Place to Work seals and ISG Leader status validates both workplace culture and service quality. ## Strategic Focus - **Data and AI readiness** – helping organizations become “data-ready, AI-ready, and future-ready.” - **Growth in AI & GenAI** – expanding custom model development and automation solutions like GAIA. - **Supply chain resilience** – intelligent supply chain offerings as a key growth vertical. - **Sustainability services** – compliance-grade reporting and decarbonization pathways for clients. - **Geographic expansion** – continues to scale presence in the US, APAC, and Europe. ## Why Work Here - **Culture**: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024. - **Work environment**: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”). - **Growth & learning**: Strong focus on learning technology and adoption – internal training programs and career development. - **Global team**: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients. - **Engineering culture**: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks. - **Employee rating**: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7. ## Sources 1. [Lingaro Group About Page](https://lingarogroup.com/about) 2. [Lingaro LinkedIn Company Page](https://www.linkedin.com/company/lingaro) 3. [Lingaro Careers Page (Lever)](https://jobs.lever.co/lingarogroup) 4. [Lingaro Group Home Page](https://lingarogroup.com/home) 5. 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