Our team is looking for a skilled data scientist to join our dynamic group of professionals. job description: - conduct statistical data analysis and develop predictive models using machine learning techniques. - work with artificial intelligence, including generative ai, to improve decision-making processes. - develop and implement time-series modeling (arima and panel data models) and simulation models (monte carlo). - validate and audit financial, risk, marketing, and business-oriented models. requirements: - recent graduates or final-year students in a quantitative field. - postgraduate studies and/or specialized courses in data science, quantitative finance, or related fields are an asset. - strong knowledge of statistical programming languages (sas, r, python, matlab), big data tools, and cloud platforms (aws, azure, gcp). - solid academic record and strong analytical skills. - ability to learn quickly and integrate into multidisciplinary teams. we offer: - a dynamic work environment with opportunities for growth and development. - ongoing training and professional development programs. - a clearly defined career path with opportunities for internal promotion. - a supportive and collaborative team culture. other opportunities: - university partnerships and collaborations. - community outreach and social responsibility initiatives. - internal sports club and tournament activities....
Job opportunity we are seeking an accomplished data scientist to contribute to a long-term, stable project with a trusted partner company. this role is ideal for someone who excels at the intersection of data science and engineering and wants to work on impactful, real-world challenges. - develop, fine-tune, and implement advanced models – with a strong focus on computer vision. - design and build end-to-end data pipelines and solutions, including apis and integrations with other systems. - analyze complex datasets to extract actionable insights and present findings clearly to stakeholders. - work closely with engineers and other data professionals to deliver robust, production-ready solutions. - stay up-to-date with the latest developments in ai/ml and apply them where relevant. required skills and qualifications - 3+ years of proven experience working as a data scientist, ideally with a focus on computer vision; hands-on exposure to llms is a big plus. - strong engineering mindset — you should feel comfortable building apis, integrating models into production systems, and working alongside software engineers. - solid programming skills in python (or similar), with experience in relevant libraries and frameworks. - good communication skills and a proactive, collaborative approach to problem-solving. - upper-intermediate english proficiency. benefits - ownership – we trust that you will do the right things to deliver maximum impact. - transparency – we say what we think and every voice is heard and respected, even when our opinions differ. - service – whether it's for...
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