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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst / Data Scientist (French speaking) - **Company:** Flowminder - **Location:** Southampton, UK - **Salary:** £50,000.0 - £60,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Data Cleansing, Data Visualization, Python (Programming Language), Machine Learning, Spatial Data Infrastructures, SQL Databases, Information Technology, Data Analytics - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2860999540-data-analyst--data-scientist-french-speaking ## About the Role You must already have the right to work in the UK or Sweden. Your motivation should come from an interest in these problems: * How to extract better information from mobile phone usage data. * How to tell normal movement from a genuine anomaly. * How to present graphs, maps and insights so that people who are not analysts can act on them. * How to build lasting analytical capacity in the countries where we work, rather than delivering reports indefinitely. Essential * A genuine wish to see your work improve the lives of vulnerable people. * Professional working proficiency in French, written and spoken, good enough to run a technical training session and answer questions on your feet. * Excellent written and spoken English. * A Master's or PhD in a quantitative discipline, or equivalent applied experience. Statistics, mathematics, informatics, demography, geography, epidemiology, econometrics and physics are all relevant. * Strong quantitative reasoning under uncertainty, combining analytical thinking with contextual knowledge. * Demonstrable experience analysing time series collected outside controlled conditions, including sparse and irregular data. * Experience with spatial and geo-referenced data. * Python for analysis, and code that others can read, run and maintain. * Experience with data visualisation and mapping. * Experience explaining technical work to non-technical audiences, whether through training, teaching, facilitation or user support. * Sound judgement on privacy (Working in line with GDPR is crucial). * Willingness to travel to partner countries, typically for short visits. Likely destinations include the Democratic Republic of the Congo, Senegal and Côte d'Ivoire. Desirable * Experience designing or delivering training or capacity strengthening for government or partner staff. * Human mobility, migration or flow statistics; demography, public health, epidemiology or disaster management. * Applied work in low- and middle-income countries, or sustained time spent in them. * Experience of mobile operator data or call detail records. * SQL, geographic information systems, machine learning, or privacy-preserving methods for aggregate data. * Confident, critical use of AI assistants for coding, analysis and documentation, including judging when their output is wrong. * Experience developing and managing data-driven projects. Other organisations might call this role Data Analyst, Data Scientist, Insights Analyst, Statistician, Analyst-Trainer, or Technical Adviser. Our focus is operational impact rather than publication. ## Description About two thirds is analysis. You will work with geo-referenced time series derived from mobile operator data, alongside survey and spatial data, to produce statistics on population mobility. About one third is training and capacity strengthening. You will help partner staff in national statistics offices, UN agencies, health ministries and disaster management agencies understand mobile phone data, use our products, and eventually run analyses themselves. Much of this is delivered in French, in person and remotely. Travel to Africa and other regions is expected as part of the role. We are looking for someone who is both strong analyst and a strong communicator. Analysis * Exploratory and standard analysis of time series, geo-referenced time series, maps and geo-referenced survey data. * Producing standard mobility reports and indicators, and interpreting what they show. * Anomaly detection and data cleaning, including spotting artefacts caused by network changes rather than real movement. * Combining sources: mobile operator data, survey data, spatial data. * Assessing and quantifying the limits and uncertainty of what we publish, and running quality checks before release. * Developing and improving analysis methods, and supporting the engineering team to put them into operational pipelines. * Protecting the privacy of data subjects and working in line with GDPR., * Designing and delivering training on mobile phone data and on Flowminder's products, in French and English, for partners of varying technical background. * Producing training material, guidance notes and documentation that people can use after you have left the room. * Supporting partners between sessions as they apply what they have learned to their own questions. * Gathering what you learn from partners and feeding it back into how our products are designed. * Travelling to partner countries where a project needs it, for example the Democratic Republic of the Congo, Senegal or Côte d'Ivoire. Communication * Choosing how to present findings to suit the audience, whether that is a ministry, a donor, a mobile operator or a colleague. * Building clear data visualisations and maps. * Stating the limits of the data plainly, including when the honest answer is that the data cannot say. * Presenting at workshops and conferences, and reporting internally to technical and non-technical colleagues. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)