All jobs
What we're looking for
- Commercial experience with classical data science and ML models
- Solid knowledge of customer analytics or advanced forecasting
- Model hyperparameter tuning and validation frameworks
- Experience with business requirements gathering and technical planning
- Fluency in Python and basic working knowledge of SQL
About the role
ABOUT THE ROLE
Our Data Science and AI team delivers machine learning solutions for global clients, with a particular focus on forecasting, customer analytics, and causality frameworks. Projects span next best offer and action modelling, propensity and churn modelling, demand and sales forecasting, and revenue growth management.
As a Senior Data Scientist, you will own end-to-end delivery across classification and forecasting use cases, bringing strong technical depth and the confidence to operate independently on complex problems. You will work closely with business stakeholders and cross-functional engineering teams, and be expected to translate business problems into well-scoped machine learning solutions. The role also involves pre-sales activity and direct client engagement at a senior level.
WHAT YOU'LL WORK ON
End-to-end modelling
Own classification and forecasting use cases from problem framing through data preparation, feature engineering, model training, and evaluation — covering demand forecasting, churn prediction, and similar applications.
Data exploration and quality
Perform exploratory data analysis on tabular and time-series data, identify quality issues early, and engineer features that feed robust production models.
Model development and validation
Train, tune, and validate ML models — logistic regression, tree-based models, gradient boosting, simple neural networks, and classical time-series models — with evaluation frameworks clearly tied to business KPIs.
Stakeholder communication
Build clear visualisations and concise reports to present model results and insights to business stakeholders. Lead requirements gathering, define success metrics, and manage expectations confidently at a senior level.
Production collaboration
Work with data engineers and AI engineers to bring models into production — batch scoring, APIs, model monitoring, and dashboards — ensuring clean, well-documented handoffs.
Documentation and reproducibility
Document data sources, modelling assumptions, and experiment results across notebooks, reports, and wikis to a standard others can build on.
Pre-sales
Contribute to pre-sales activities including scoping, estimation, and solution design for prospective clients.
WHAT WE LOOK FOR
Strong classical data science and ML background
Solid commercial experience across the full ML workflow, with a track record of independently delivering production systems that drive measurable business impact.
Customer analytics or advanced forecasting expertise
Hands-on experience in customer analytics (propensity, churn, next best action) or advanced forecasting (demand, sales). Familiarity with causality frameworks is a strong advantage.
Hyperparameter tuning and validation frameworks
Solid knowledge of model tuning approaches and validation frameworks, with a clear understanding of how metric choices connect to business outcomes.
Business requirements and technical planning
Experience gathering requirements from non-technical stakeholders, defining success metrics, assessing data feasibility, and translating ambiguous problems into concrete technical plans.
Python and SQL
Fluent in Python for data science and modelling work. Solid working knowledge of SQL for data access and exploration.
THE TEAM
You'll join a specialist Data Science and AI practice working alongside experienced consultants, ML engineers, and data engineers. The team delivers solutions for large international clients across CPG, retail, and manufacturing. There is a strong knowledge-sharing culture, with internal communities, competency centres, and structured learning programmes built into how the team operates.
COMPENSATION & BENEFITS
Rate
160 – 170 PLN per hour on a B2B contract, depending on experience.
Contract flexibility
Flexibility on working hours and preferred form of contract.
Workation policy
Option to work remotely from other locations for defined periods.
Onboarding
Comprehensive online onboarding programme with a dedicated buddy from day one.
Learning and development
Unlimited access to the Udemy learning platform from day one. Certificate training programmes, upskilling support, capability development programmes, competency centres, knowledge sharing sessions, community webinars, and over 110 training opportunities per year.
Career growth
Internal promotion pathways — 76% of managers were promoted internally. Cooperation with top-tier engineers and domain experts across the organisation.
Referral bonuses
Financial rewards for successful employee referrals.
Wellbeing
Activities to support health and wellbeing, with opportunities to contribute to charitable causes and environmental initiatives.
Equipment
Modern office equipment provided.
Employer recognition
Great Place to Work certified employer.
Our Data Science and AI team delivers machine learning solutions for global clients, with a particular focus on forecasting, customer analytics, and causality frameworks. Projects span next best offer and action modelling, propensity and churn modelling, demand and sales forecasting, and revenue growth management.
As a Senior Data Scientist, you will own end-to-end delivery across classification and forecasting use cases, bringing strong technical depth and the confidence to operate independently on complex problems. You will work closely with business stakeholders and cross-functional engineering teams, and be expected to translate business problems into well-scoped machine learning solutions. The role also involves pre-sales activity and direct client engagement at a senior level.
WHAT YOU'LL WORK ON
End-to-end modelling
Own classification and forecasting use cases from problem framing through data preparation, feature engineering, model training, and evaluation — covering demand forecasting, churn prediction, and similar applications.
Data exploration and quality
Perform exploratory data analysis on tabular and time-series data, identify quality issues early, and engineer features that feed robust production models.
Model development and validation
Train, tune, and validate ML models — logistic regression, tree-based models, gradient boosting, simple neural networks, and classical time-series models — with evaluation frameworks clearly tied to business KPIs.
Stakeholder communication
Build clear visualisations and concise reports to present model results and insights to business stakeholders. Lead requirements gathering, define success metrics, and manage expectations confidently at a senior level.
Production collaboration
Work with data engineers and AI engineers to bring models into production — batch scoring, APIs, model monitoring, and dashboards — ensuring clean, well-documented handoffs.
Documentation and reproducibility
Document data sources, modelling assumptions, and experiment results across notebooks, reports, and wikis to a standard others can build on.
Pre-sales
Contribute to pre-sales activities including scoping, estimation, and solution design for prospective clients.
WHAT WE LOOK FOR
Strong classical data science and ML background
Solid commercial experience across the full ML workflow, with a track record of independently delivering production systems that drive measurable business impact.
Customer analytics or advanced forecasting expertise
Hands-on experience in customer analytics (propensity, churn, next best action) or advanced forecasting (demand, sales). Familiarity with causality frameworks is a strong advantage.
Hyperparameter tuning and validation frameworks
Solid knowledge of model tuning approaches and validation frameworks, with a clear understanding of how metric choices connect to business outcomes.
Business requirements and technical planning
Experience gathering requirements from non-technical stakeholders, defining success metrics, assessing data feasibility, and translating ambiguous problems into concrete technical plans.
Python and SQL
Fluent in Python for data science and modelling work. Solid working knowledge of SQL for data access and exploration.
THE TEAM
You'll join a specialist Data Science and AI practice working alongside experienced consultants, ML engineers, and data engineers. The team delivers solutions for large international clients across CPG, retail, and manufacturing. There is a strong knowledge-sharing culture, with internal communities, competency centres, and structured learning programmes built into how the team operates.
COMPENSATION & BENEFITS
Rate
160 – 170 PLN per hour on a B2B contract, depending on experience.
Contract flexibility
Flexibility on working hours and preferred form of contract.
Workation policy
Option to work remotely from other locations for defined periods.
Onboarding
Comprehensive online onboarding programme with a dedicated buddy from day one.
Learning and development
Unlimited access to the Udemy learning platform from day one. Certificate training programmes, upskilling support, capability development programmes, competency centres, knowledge sharing sessions, community webinars, and over 110 training opportunities per year.
Career growth
Internal promotion pathways — 76% of managers were promoted internally. Cooperation with top-tier engineers and domain experts across the organisation.
Referral bonuses
Financial rewards for successful employee referrals.
Wellbeing
Activities to support health and wellbeing, with opportunities to contribute to charitable causes and environmental initiatives.
Equipment
Modern office equipment provided.
Employer recognition
Great Place to Work certified employer.
Compensation & benefits
Stable employment
Workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and 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
Upskilling support
Capability development programs
Competency Centers
Knowledge sharing sessions
Community webinars
110+ training opportunities yearly
Internal promotions
Diverse, inclusive, and values-driven community
Autonomy to choose the way you work
Referral bonuses
Activities to support well-being and health
Opportunities to donate to charities and support the environment
Modern office equipment
About Lingaro
An ethical business committed to diversity, equity, and inclusion, ensuring equal opportunities and fostering a safe, respectful workplace. The company believes diversity fuels both personal and business growth and is committed to building an inclusive community where all people thrive regardless of their backgrounds, identities, or other personal characteristics.