Data Scientist

At Lendo, we’re driven by a clear mission: to empower people to make smarter financial decisions. Our work directly impacts how users understand and navigate complex financial journeys, and we take that responsibility seriously. We build our success on a culture where we live by our core values: customer centric, win as a team, focus on execution, and always improve. We are convinced that it is diverse perspectives, differences, and a strong collective drive that allow us to continue evolving. We are always looking for colleagues who wants to grow together with us. About the role We are looking for a Data Scientist to drive business impact through machine learning. We have already created significant value from ML across several areas and see strong opportunities to apply it even more broadly, including marketing, conversion optimization, and operational decision-making. We are looking for a Data Scientist who has successfully created business impact with ML and is energized by delivering measurable results. What you will do Build, deploy, and improve machine learning models that drive measurable impact across domains such as marketing, conversion optimization, and operational efficiency. Design, analyze, and interpret experiments, causal analyses, and marketing mix models (MMM) to guide marketing investments. Be a trusted advisor within ML and partner with product, business, and engineering teams to translate problems into ML solutions. Ensure models deliver continuous business value. About you 3+ years of experience as a Data Scientist, with a track record of shopping models that created measurable business value. Strong modeling expertise with solid foundations in statistics and machine learning, and a clear understanding of when and how to apply different methods Experience designing and interpreting experiments and casual analyses Ability to work effectively with non-technical stakeholders.. Ability to take initiative and drive ML opportunities end-to-end, from problem framing to deployment and measurable business impact. Strong Python programming skills and comfort working in production environments. We believe great people do their best work when they’re trusted. That’s why we offer high autonomy, real ownership and clear accountability. You’ll help create measurable business impact through machine learning in a core growth area, while collaborating with a strong, supportive Data & ML team that values well-being, technical excellence and continuous improvement. You’ll work with a modern tech stack, including production ML systems and generative AI tools, supported by competitive compensation and a flexible hybrid setup. About the recruitment process As part of our recruitment process, we use psychometric testing through HI Assessments. We also perform a mandatory background check on all final candidates. We will always inform you as a candidate before the check is carried out. We look forward to your application!

Assignment description We are looking for a Data Scientist for our customer. Job description: We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform. Responsibilities •Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements. •Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle. •Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance. •Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs. •Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model. •Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models. •Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams. Required Skills •Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming) •Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution). •Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test. •Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. Strong SQL skills for data manipulation and analysis. •Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation. •Comfortable working in Agile, cross-functional teams. •Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.  Required cloud certification: No