Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
The successful candidate will work on ontology and taxonomy development, work with clients to understand data models and machine learning challenges, integrating datasets into our analytic platform, using ETL and semantic normalization techniques to normalize data for use in Machine learning.
Essentials Skills and Qualifications:
A formal background and proven experience in mathematics, logic, statistics and computer science, particularly within the financial services sector. Experience within related fields such as physics, analytic philosophy, chemistry or biology will be considered
A successful history of developing taxonomies and/or ontologies in RDF/OWL or other formal knowledge representation system
A successful history in utilizing No-SQL databases, particularly RDF Graph databases, for analytic purposes
Hands on Programming / Scripting Experience (Python, Java, C/C++, Scala, Bash, Korn Shell)
Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)
The ability to function within a multidisciplinary, global team. Be a self-starter with a strong curiosity for extracting knowledge from data and the ability to elicit technical requirements from a non-technical audience
Strong communication skills and the ability to present deep technical findings to a business audience
Desired Skills and Qualifications:
Experience with distributed computing environments such as Hadoop, Spark or High Performance Computing (HPC) systems and an understanding of parallel application performance and reliability.
Experience developing software within a large enterprise environment (agile or associated development methodologies, backtesting, release management, JIRA)
An understanding of Unix/Linux including system administration and shell scripting.
Database management and business intelligence including SQL, data modeling or schema management. Experience with NoSQL databases such as MongoDB, Cassandra or associated technologies is a plus.
An ability to construct end-to-end data analytic workflows including data capture, cleaning, normalization, exploration, modeling and visualization, preferably utilizing the tools previously described.
Experience with data science techniques and associated libraries such as NumPy, SciPy, Pandas, NLTK or MatPlotLib (Python) or equivalent R packages. Such techniques include a good to great understanding of statistical models, graph algorithms, probabilistic algorithms, classification, clustering or related approaches as it applies to financial applications.
Good knowledge of Big Data querying tools, such as Pig, Hive, Impala and Spark
Join our Development Center in Wroclaw and become a member of our open minded, progressive and professional team. In this role you will be working on projects for one of our world famous clients. You will have a chance to grow your technical and soft skills, and build a thorough expertise of the Banking Industry. On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.