Praca: Data Scientist



Data Scientist
[online recruitment]
Location: Wroclaw
Reference number: VR-61184
Project Description:

Artificial Intelligence and Machine Learning (AI & ML) continues to revolutionise the financial services industry.

DXC-Luxofts Banking and Capital Markets and Insurance team is investing in these technologies, and is actively building up a new AI, ML and Analytics Practice across a number of regions.

In particular, we are looking to hire Data Scientists with experience with Financial Services and/or Fraud backgrounds, into our European practices. We are building out a large AI-based anti-fraud platform, which is provided to clients on a SaaS platform. We are expanding due to the success of the product, and the size of the client pipeline.

You will be conducting analysis, design and development of AI and Machine Learning models, and POCs, and assisting to deploy these into Production. You will be working with leading financial services organizations in the region, and collaborating with other teams in our practice.

We are interested in hearing from individuals with a strong Data Science, and AI & ML background. A background in financial services would be advantageous, as would experience in model deployment.

Responsibilities

You will work alongside a strong, global team of individuals with diverse backgrounds and skills in analytics, data science, software engineering and the underlying business in order to:

◆ Analyse, design and develop AI & ML models and Proof of Concepts

◆ Identify and analyse data sources, whether internally or for clients, and perform feature engineering for integration into models

◆ Work with Development and DevOps teams where necessary, to deploy models on ML platforms into Production, and successfully realise client goals

You will assist the practice in:

◆ Developing practice thought leadership materials, participating in pre-sales work and client work as necessary

◆ Helping to structure work, planning new analyses, translating business questions into analytical projects

◆ You will collaborate with business and technology partners to grow and develop the data science practice

Skills

Required:

◆ Strong modelling skills in some or all of the major machine-learning areas

◆ Hands-on experience applying machine learning techniques using packages such as scikit-learn, TensorFlow, Keras, pytorch, NLTK and others

◆ Solid engineering and scripting skills in one or more of Python, R, SAS, Matlab and SPSS

◆ Excellent analytical skills

◆ Strong communication skills

Required:

◆ Post-graduate degree in Mathematics, Statistics, Engineering, Computer Science, Computational Statistics, Physics, Operations Research or other similar quantitative field

◆ At least two years of experience in data science, in particular in designing, developing, validating, and deploying predictive models

◆ Experience with Machine Learning techniques

Our offer
Career and Professional Development
  • International projects for clients all over the world
  • Competitive salary
  • Individual development plan
  • Managerial Targeted Training programs
  • BRIDGE Mentoring Program
  • Luxoft Training Center
  • Language Classes
  • Self-learning online library
  • Global Relocation Program
  • Internal Mobility (a chance to gain experience in varied projects and technologies)
  • Professional communities for knowledge-sharing (Agile, Tech, Business)
Well-being
  • Group Life Insurance
  • Travel Insurance
  • Private Healthcare (dental care, unlimited consultations of specialist physicians)
  • Medical costs reimbursement for employees
  • Benefit Program (Cafeteria and Multisport Card)
Work-Life Balance
  • LuxGood Program (a wide range of health and well-being initiatives)
  • After-hours groups (sport, trips, board games, cultural activities)
  • Company and Team events
  • BeLux - discount offers program (banking, car leasing, other)
  • Convenient locations in modern offices
Career and Professional Development
  • International projects for clients all over the world
  • Competitive salary
  • Individual development plan
  • Managerial Targeted Training programs
  • BRIDGE Mentoring Program
  • Luxoft Training Center
  • Language Classes
  • Self-learning online library
  • Global Relocation Program
  • Internal Mobility (a chance to gain experience in varied projects and technologies)
  • Professional communities for knowledge-sharing (Agile, Tech, Business)
Well-being
  • Group Life Insurance
  • Travel Insurance
  • Private Healthcare (dental care, unlimited consultations of specialist physicians)
  • Medical costs reimbursement for employees
  • Benefit Program (Cafeteria and Multisport Card)
Work-Life Balance
  • LuxGood Program (a wide range of health and well-being initiatives)
  • After-hours groups (sport, trips, board games, cultural activities)
  • Company and Team events
  • BeLux - discount offers program (banking, car leasing, other)
  • Convenient locations in modern offices
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Informujemy, że administratorem danych jest Luxoft z siedzibą w Krakowie, ul. Bora Komorowskiego(dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie.
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