HELLO,
BISHOP'S STORTFORD

Senior Applied AI Scientist Location: UK-based, remote-first (with monthly optional meetups in London) Start date: ASAP Eligibility: Must have the right to work in the UKOverview DeepRec.ai has the pleasure of partnering with a remote-first NbS startup as they look to hire a Senior Applied AI Scientist to lead the development of ML-driven solutions that scientifically quantify the real-world impact of nature-based interventions. You'll join a multidisciplinary team of AI scientists, engineers, and environmental experts tackling one of the biggest challenges of our time: building trusted, scalable tools for climate and biodiversity action.The CultureShared purpose, no ego.Remote-first with flexible working hours, built on trust.Monthly team meetups at a London-based office (Highbury).Clear communication, fast iteration, and support over silos.A culture that thrives on ambiguity, feedback, and a growth mindset.What You’ll DoDesign, build, and scale machine learning models using environmental and observational data.Apply advanced causal inference techniques such as Bayesian Neural Networks, Gaussian Processes, Difference-in-Differences, and Synthetic Control methods.Leverage foundation models (e.g. Prithvi, Clay) and transformers to extract insights from complex datasets.Work cross-functionally with science, engineering, and product teams to embed models into real-world pipelines.Communicate scientific and technical concepts clearly to both technical and non-technical audiences.Stay current with the latest developments in AI and environmental science, integrating relevant innovations into production.Mentor junior team members and foster best practices in applied ML.What You BringStrong background in applied machine learning, bayesian statistics, and causal inference.Proficiency in Python and ML frameworks such as PyTorch.Experience with cloud infrastructure (e.g., AWS, GCP).A clear, concise communication style - clear examples given when asked, not word salad.An adaptive mindset and comfort working in fast-changing environments.A deep motivation to contribute to climate and ecological impact.An advanced degree (MSc or PhD) in Computer Science, Statistics, Economics, Physics, Mathematics, or a related field.Nice to HaveExperience working with geospatial or spatial-temporal data.Experience with remote sensing datasets (e.g., Landsat, Sentinel, SAR).Familiarity with TorchGeo or TerraTorch.Experience with Rasterio, Geopandas, Xarray, or Dask.Previous collaboration with academic or scientific research communities.Publications in peer-reviewed journals or conferences.BenefitsRemote-first and flexible hours32 days paid holiday (including bank holidays, fully flexible)Extra day off on your birthdayPension schemeEnhanced gender-neutral parental leaveSpill mental wellbeing supportCompany laptop + home working setup allowance

A fast-moving team working at the forefront of mobile advertising is looking for a Lead Data Scientist to help shape the future of programmatic monetisation. This role offers the opportunity to work on real-time bidding systems where ads are auctioned and rendered in milliseconds across thousands of mobile apps. The team develops advanced algorithms and data-driven systems that directly compete with some of the biggest names in the industry. With a focus on research-driven innovation, the team aims to balance the needs of users, publishers, and advertisers while maintaining a high-quality user experience. The Lead Data Scientist will be responsible for growing and mentoring a team, driving technical direction, and contributing directly to data science projects. At least half of the role will involve hands-on work, with the remainder focused on leadership, collaboration, and strategic planning. Key ResponsibilitiesBuild and lead a high-performing data science team, including hiring, mentoring, and setting best practicesTranslate business goals into data solutions that strengthen the competitiveness of the ad platformWork on data science tasks individually, contributing significantly to project outcomesDocument experiments, methodologies, and implementation details clearlyCollaborate closely with product, infrastructure, and business teamsContribute to strategic planning and define quarterly and long-term objectivesRequired Skills and ExperienceA degree in mathematics, physics, computer science or equivalent experience in data science (minimum 5 years)At least 2 years of leadership experience, including line management and career development supportStrong programming skills in Python, R, Scala, Julia or similar languagesProven analytical skills and a solution-oriented mindsetExperience working with large-scale data platforms such as AWS Athena, Kafka, Spark, Flink, and S3Expertise in scailing recomendation systemsAbility to explain complex mathematical concepts in simple termsExcellent communication skills and experience working across teamsDesirableExperience building and selecting technologies for a modern data science tech stack (e.g. Airflow, Kafka, Flink)Understanding of MLOps and collaboration with engineering teamsBenefits and PerksHybrid working model with up to two remote days per week and three weeks per year of remote work from anywhere30 days annual leaveComprehensive relocation support including visa assistance, relocation bonus, and reimbursement for language coursesMonthly company lunches, snacks, and fresh pastriesAccess to an in-house gym, personal trainer, and wellness classesFrequent team and company eventsBudget for professional development, training, and certificationsEquity programme for full-time employeesMental health and wellbeing support through a dedicated assistance programme