We are embarking on an exciting journey at Sigortam.net! As the first and largest insurance marketplace in Turkey, Sigortam.net currently cooperates with 25+ insurance companies to serve 10+ million customers and this is just the beginning. Our dream is to become the leading tech company in the region, which brings a positive impact to the insurance sector through better customer experience driven by technology.

We strongly believe in the value of putting people first – our colleagues and customers – and are rebuilding the organization with exceptional talent. We are a team of empowered individuals with a growth mindset and desire to learn in a fast-paced environment. We are looking to welcome colleagues who will take full ownership, challenge the status-quo, persist in the face of setbacks and test new things. Fast and data-driven decision-making is part of our DNA: We believe in the value of making fast decisions, learning and improving.

At Sigortam.net, we succeed or fail as a team. Our colleagues do not feel threatened by the success of others, but rather find inspiration in them. Humility is a "must have" quality we seek in every candidate we meet. If you are up for this challenge and exciting journey, come and join us!

Sigortam.net is currently seeking a "Data Scientist" to join their Data Analytics team. In this role, you will play a key part in developing and optimizing machine learning models, data pipelines, and analytical frameworks that power our decision-making processes. This position requires a blend of technical expertise and strategic thinking, with a strong focus on leveraging data science and AI-driven insights to enhance business outcomes.

The Data Analytics Chapter at Sigortam.net is responsible for shaping and executing the company's data analytics strategy. Our mission is to drive data-driven decision-making with a strong customer focus while fostering a culture of data literacy across the organization. We actively promote the adoption of data-driven solutions to enhance business impact.

We are looking for a Data Scientist to join our team and contribute to our data-driven initiatives.

Your profile:

• Bachelor’s degree in Computer Engineering or a related Engineering discipline with strong quantitative skills; Master’s is a plus.
• 1–3 years of hands-on experience in Data Science, Machine Learning, or AI projects
• Strong proficiency in Python and SQL is essential, with hands-on experience in data manipulation (Pandas, NumPy), machine learning (Scikit-learn), and working with large-scale datasets.
• Hands-on experience with LLM ecosystems (OpenAI, Hugging Face, LangChain, vector DBs such as Pinecone or Milvus) and prompt engineering / fine-tuning.
• Solid understanding of statistical modeling, data mining, and ML lifecycle: from feature engineering to model tuning, evaluation, and deployment
• Familiarity with MLOps practices, such as model monitoring, versioning, automated retraining, and deployment pipelines. Experience with MLflow for experiment tracking, model management, and lifecycle automation is a plus
• Experience in managing and optimizing Datamart structures, ensuring data integrity, performance, and scalability
• Comfortable building and updating dashboards using Power BI (or similar tools); knowledge of visualization libraries such as matplotlib, seaborn, or plotly is a plus
• Excellent communication skills, capable of simplifying complex information into actionable and executable points for both C-level executives and business units
• Ability to extract valuable insights from data and adeptly craft engaging narratives that truly resonate with business stakeholders through powerful storytelling
• Experience with Git
• Agile methodology knowledge is a plus

Your role:

• Conduct exploratory data analysis (EDA) to gain deep insights into the dataset, enabling effective evaluation and drawing meaningful conclusions.
• Collaborate with cross-functional teams (product, growth, engineering, operations) to translate business needs into data solutions, uncover customer issues, and develop measurable impact.
• Take end-to-end ownership of the analytics and modeling lifecycle—from problem framing to deployment—ensuring solutions are robust, scalable, and aligned with business goals.
• Develop and maintain machine learning models, ensuring they remain accurate and relevant by monitoring performance, detecting drift, and retraining when necessary.
• Implement and oversee MLOps processes, including model deployment, versioning, and automation, to ensure models are efficiently integrated into production environments.
• Design and deploy LLM-powered solutions such as retrieval-augmented generation pipelines (RAG), document Q&A systems, and customer service chatbots that drive internal efficiency and enhance customer experience.
• Proactively explore emerging techniques in ML and Generative AI, especially those applicable to the insurance domain, and champion their adoption where they create value.

Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the https://www.sigortam.net/calisan-adayi-aydinlatma-metni/ link.