Data Scientist for an Italian Machine Learning Project



The project is to develop a platform for automatic speech recognition (ASR) and machine translation training (MT).

The customer is a company (an innovative start-up) that researches, designs and develops online applications, accessible via the Internet, that simplify and automate the management of administrative procedures. They are based on Internet Of Things, Blockchain and artificial intelligence technologies. The company is headquartered in Pisa, Italy.

Tech stack on the project: Python, R, Acoustic Model (AM), Grapheme to Phoneme (G2P), Language Model (LM), NLP.


  • Crawl data from internet;
  • Clean up data (e.g.,to remove sensitive information or to preprocess data as needed by machine learning algorithms);
  • Work with NLP;
  • Create a phonetic dictionary;
  • Train machine learning algorithms with collected data (e.g., Acoustic Model, Language Model, G2P, Machine translation), evaluate trained models, tune models;
  • Write grammars in BNF-like format.


  • Experience as a Data Scientist for 3+ years;
  • Experience with Python/R;
  • Experience with Acoustic Model (AM), Grapheme to Phoneme (G2P), Language Model (LM) modules;
  • Experience with hybrid HMM+ANN system;
  • Good knowledge of NLP (Natural language processing);
  • Level of English – Upper-Intermediate.

Reasons to join us

Andersen is a pre-IPO software development company that provides a full cycle of services. For over 14 years, we have been helping enterprises and middle-sized firms worldwide transform their businesses by creating effective digital solutions using innovative technologies.

We welcome true specialists no matter what country they live in. Salaries at Andersen are pegged to the USD, and employees are provided with a social package and an extensive set of bonuses.

  • Cooperation with such businesses as Samsung, Johnson & Johnson, Ryanair, Europcar, TUI, Verivox, Media Markt, Shypple, etc. This project is just your beginning here — working with us means reliability and prospects;
  • Excellent teams with streamlined processes and an opportunity to change the project. There are also systems of mentoring and adaptation for each new employee;
  • Many different ways to grow: you can develop expertise in different business domains and improve as a specialist or a manager. Transparent performance review and assessment systems will allow you to determine your development path and plan your growth;
  • Flexible start of the working day: from 7 AM to 11 AM. You can telecommute, work at the office, or opt for a hybrid schedule — whatever is convenient for you;
  • Referral programs and an opportunity to additionally earn up to $1,500 per month by participating in the company's activities;
  • Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated;
  • Such perks as private health insurance, English language courses, and certification compensation (AWS, PMP, etc.).

Будемо раді побачити вас у наших лавах!

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