Databricks (nice to have)
Power BI (nice to have)
Tableau (nice to have)
Machine Learning (regular)
Data & Applied Intelligence is a technology hub operating on the local and global markets, with over 200 specialists based in Poland - architects, engineers and analysts whose knowledge and experience range from data analytical architecture to functional and sectoral specialization.
Importantly, our team works extensively directly with technology partners (such as Microsoft, AWS, Google, Oracle and Snowflake) implementing the latest innovative solutions that are just appearing on the market.
We support our clients comprehensively : from the definition of the Data & Analytics strategy, to the comprehensive implementation of solutions, to maintenance and development.
We touch the area of Data & Analytics holistically and address all aspects important for organizations that undergo data transformation.
Our teams work in many areas, such as Business Intelligence, Big Data, AI / ML, advanced data analytics, Data Governance or the definition of operating models for Data organizations.
What will you do
You will play a key role in introducing cutting-edge predictive analytics solutions in multiple areas of business including finance, logistics and sales.
You will work with business stakeholders to identify the issues and propose advanced data models supporting day-to-day decision making.
You will leverage your experience and knowledge of machine learning algorithms and statistical models to ensure our customers get valuable and timely insights from their data.
You will be involved in digitization and cloud transformation projects, supporting our clients with advanced analytics in Big Data world.
You will further build your skillset working with data architects, data modelers and visualization experts on day-to-day basis.
What do we expect from you
Bachelor s or Master’s in one of the quantitative disciplines : econometrics, computer science, statistics, mathematics, economics or any other related field.
Familiarity with at least some of the key machine learning and statistical methods and modelling techniques, e.g. time series, regression, clustering, PCA, decision trees, association rules, neural networks.
Hands-on experience in data modelling, data cleansing, analysis, visualizations.
Practical knowledge of R, Python or SAS (with key libraries and packages).
Practical knowledge of SQL.
Understanding of end-to-end process of building statistical / machine learning models.
Knowledge of one of the cloud technologies (GCP, AWS, Azure, Snowflake, or other cloud providers) and visualization tool (Tableau, Power BI or other visualization tool).
Knowledge of additional tools will be considered as an advantage : ERP systems, Databricks / PySpark, GitHub.
Willingness to learn and broaden your functional knowledge (finance, logistics, sales, etc.), as well as presentation / communication / consulting skills.
What can we offer you
Stable employment conditions based on an employment contract.
Private medical care, life insurance and employee share program.
Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport).
Individual support of a Career counselor and a specific path of professional development, as well as the possibility of a session with a Coach.
A wide training package (soft and technical training offer, access to the e-learning platform, possibility of co-financing courses and certification).
Participation in the implementation of projects on a global scale for the largest international companies from Fortune500 using the latest technological solutions and tools.
Employee Assistance Program - free support in one-time legal, financial and psychological consultations.
Paid employee referral program.