Data Analyst tablet&mobile

AI Advisor

Poland

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Data Analyst tablet&mobile

As a member of the DS/AI Consulting and Advisory, you will participate in identifying new opportunities and engage in projects, mainly innovative. This team is a “Special Force” consist of best-in-class Data Scientists and ML Architects that help in business growth. It focuses on AI evangelization, hunting for AI/ML use cases, running PoC and helps other delivery team to lunch MVP or scale the solution.

 

Tasks:

Data Science/AI Delivery:

  • Delivery (and support of delivery by different teams within DS&AI) Machine Learning / Data Science projects – advising on the architecture, best practices, concepts etc. Making sure technical quality and excellence in architecture.

  • Researching and preparing solutions for common DS/AI projects problems, defining the guidelines for others team.

  • Act as a mentor for the team.

  • Being up-to-date with DS and AI market trends.

Business development and profitability:

  • Cooperate with Lingaro sales and delivery teams to identify and win new opportunities.

  • Offers and presentations preparation.

  • Developing DS&AI business through early-stage involvement into DS&AI customer journey.

DS&AI Offering:

  • DS&AI value proposition and offering creation. Promoting it within the company and outside.

  • Evangelization of the whole Lingaro and its customers in the field of AI/ML.

  • Monitoring of trends, competitors, market opportunities.

Customer satisfaction:

  • Helping team members and other units to achieve high customer satisfaction.

  • Building and maintaining relations with customers (mostly through close cooperation during project acquisition, delivery and maintenance), especially on the early stage of cooperation.


 

Requirements: 

Essential:

  • 6+ years of relevant experience.

  • Expert knowledge in the field of Data Science, Machine Learning and Artificial Intelligence.

  • Drive to understand business requirements and needs.

  • Ability to combine technical and business topics.

  • Excellent communication, decision making and problem-solving skills.

  • Ability to manage stress to achieve excellence under time constraints.

  • Experience in working with stakeholders on different seniority and maturity level.

  • Extensive experience in the following roles: data scientists/AI engineer, consultant and advisor, delivery leader, project manager, business analyst.

  • Strong, proven knowledge and experience in the following fields: Machine Learning, Data Science, Artificial Intelligence, ML Ops, Generative AI, solution operationalization.

  • Presentation skills.

  • High ambition, motivation, and passion to achieve things that no one achieved before.

Nice to have:

  • Strong experience in CPG industry.

  • Experience with Responsible AI and other DSAI related regulations

 


We offer:
  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.

  • “Office as an option” model. You can choose to work remotely or in the office.  

  • Great Place to Work® certified employer.

  • Flexibility regarding working hours and your 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. Lingarians earn 500+ technology certificates yearly.  

  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

  • Grow as we grow as a company. 76% of our managers are internal promotions.  

  • A diverse, inclusive, and values-driven community.   

  • Autonomy to choose the way you work. We trust your ideas.  

  • Create our community together. Refer your friends to receive bonuses.  

  • Activities to support your well-being and health.

  • Plenty of opportunities to donate to charities and support the environment.  

  • Modern office equipment. Purchased for you or available to borrow, depending on your location.

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