About this role
<p><strong><span style="font-size:14.0pt">About GFT</span></strong></p> <p><span style="font-size:14.0pt">GFT Technologies is an AI-centric global digital transformation company. We design advanced data and AI transformation solutions, modernize technology architectures and develop next-generation core systems for industry leaders in Banking, Insurance, Manufacturing and Robotics. Partnering closely with our clients, we push boundaries to unlock their full potential. With deep industry expertise, cutting-edge technology, and a strong partner ecosystem, GFT delivers responsible AI-centric solutions that combine engineering excellence, high-performance delivery and cost efficiency. Our team of 12,000+ technology experts operate in 20+ countries worldwide offering career opportunities at the forefront of software innovation.</span></p> <p><span style="font-size:14.0pt"><strong><br>Role Summary </strong></span><br><span style="font-size:14.0pt">We’re seeking a seasoned Senior Data Scientist who can tackle complex business challenges and transform them into innovative technical solutions. In this role, you’ll dive deep into statistical analysis, data mining, and cutting-edge Large Language Model (LLM) technologies to shape the future of AI-driven products. You’ll engage hands-on with emerging technologies, pushing the boundaries of what’s possible in AI from early ideation and research through to final delivery. Join us to take the helm in developing data-driven product features, mentor up-and-coming talent, and help define the next frontier of AI-powered innovation! You will closely collaborate with not only the data team but also product managers and engineers to ensure successful analytics or AI feature execution.</span><br><span style="font-size:14.0pt"> </span><br><span style="font-size:14.0pt"> </span><br><span style="font-size:14.0pt"><strong>Key Responsibilities </strong></span><br><span style="font-size:14.0pt">• Human-Centered Analysis: Manipulate human behavior, sentiment, and language data to uncover hidden patterns and support data-driven decision-making.</span><br><span style="font-size:14.0pt">• AI/ML Model Development: Craft effective prompts to interact with AI models, optimizing output quality and relevance, performing fine-tuning, data feeding, validation, and engineering for continuous improvement.</span><br><span style="font-size:14.0pt">• Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment.</span><br><span style="font-size:14.0pt">• Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery</span><br><span style="font-size:14.0pt"> </span><br><span style="font-size:14.0pt"><strong>Required Qualifications </strong></span><br><span style="font-size:14.0pt">• Bachelor’s in Software Engineering or related fields.</span><br><span style="font-size:14.0pt">• Strong in one or more programming languages (Python, R, C++, Java), with prior experience in data engineering, cloud data architecture, or large-scale data pipeline development.</span><br><span style="font-size:14.0pt">• 6+ years of relevant data science experience, with a strong emphasis on consumer-facing platforms, human-generated data, or equivalent data science domains.</span><br><span style="font-size:14.0pt">• 4+ years of experience applying advanced statistical methods and data mining techniques to identify new business opportunities and address existing challenges, including experience building data products from concept to production.</span><br><span style="font-size:14.0pt">• Experience with AI/Machine Learning (ML), including LLMs and trendy ML models, encompassing prompt engineering, fine-tuning, pipeline setup, validation, and Quality Assurance (QA) for targeted applications.</span><br><span style="font-size:14.0pt">• Experience translating complex technical concepts to non-technical partners.</span><br><span style="font-size:14.0pt"> </span><br><span style="font-size:14.0pt"><strong>Preferred Qualifications </strong></span><br><span style="font-size:14.0pt">• Knowledge of Data Engineering, DevOps practices for AI model deployment, and MLOps principles.</span><br><span style="font-size:14.0pt">• AWS Experience: Familiarity with core AWS services used in a data context.</span><br><span style="font-size:14.0pt">• Experience in a Startup Environment: Comfortable with ambiguity and a fast-paced setting.</span></p> <p> </p> <p><em><span style="font-size:14.0pt">(Note: Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)</span></em></p>