Junior Data Scientist - Casablanca

Junior Data Scientist The Wiley Edge banking team is currently seeking a Data Scientist to work across the Front Office Trading, Risk & Regulatory Compliance Trade Analytics group, using Machine Learning and Data Analytics techniques to design and develop complex data models for client and trading analytics across their Fixed Income and FX offerings. You will be supporting the transformation from traditional controls monitoring to “on-screen” data driven monitoring and analytical solutions. Tools: Python (pandas, numpy) Machine Learning Algorithms / Natural Language Processing (NLP) AI / Robotics Predictive Analysis Good grasp of ML Algorithms Starting Salary: CA$85,000 per annum Junior Data Scientist

We are looking for our future Junior Data Scientist to join our team in Jakarta or Kuala Lumpur and kick-start an exciting journey in Data & AI, working on high-impact projects for local and international clients. Who Are We? Artefact is a new-generation consulting firm fully dedicated to Data and AI transformation . With more than 2,000 talents across 24 countries , we help organizations unlock the full potential of their data to accelerate business performance. Our mission? To transform data into measurable business impact. We work across the entire data value chain, including: Automating critical business processes through AI Optimizing and personalizing customer experiences Data strategy & digital marketing Media activation, measurement & advanced analytics Building and deploying robust and scalable data solutions Our expertise is trusted by more than 1,000 clients worldwide , including AccorHotels, Orange, Carrefour, Engie, Emirates, Deutsche Telekom, Monoprix, and many more. To support our continued growth in Southeast Asia, our Jakarta and Kuala Lumpur offices are looking for curious and motivated Junior Data Scientists who are eager to learn, grow, and develop alongside an experienced team. Our Mission At Artefact, our mission is to help organizations become AI champions by unlocking the full value of their data . We believe in a unique approach that combines business expertise, cutting-edge technology, and responsible AI practices . We strive to create an environment where continuous learning, initiative, collaboration, and knowledge sharing drive our collective success. Your Role As a Junior Data Scientist , you will join a supportive yet challenging environment where experienced team members will help you develop your technical and consulting capabilities. Your responsibilities will include: Collecting, cleaning, and preparing datasets required for analytical and Data Science projects. Conducting exploratory data analysis and developing

We are seeking a highly skilled and experienced Staff Data Scientist to join our team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Staff Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in machine learning and statistical modeling, and contributing to the advancement of our self-driving systems. You will work closely with a team of talented engineers and researchers in a fast-paced, collaborative environment. In this role, you will: Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights. Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization. Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems. Communicate complex technical findings and recommendations to both technical and non-technical audiences. Mentor and provide technical guidance to junior data scientists and engineers. Qualifications Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist. Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL. Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling. Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques. Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences. Bonus Qualifications Experienc

ROLE SUMMARY We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions. KEY RESPONSIBILITIES Solution Design & Delivery Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques. Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation. Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation. Client Communication & Leadership Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives. Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members. Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations. Knowledge Building Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work. Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice. SKILLS, QUALIFICATIONS AND EXPERIENCE 8+ years of overall experience in data science, with a track record of leading analytic

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... This person will be part of our Growth Data Science team, collaborating with peers and cross-functional partners in Product, Finance, and Strategy to continuously improve our forecasting capabilities. They will drive methodological advances and deliver trustworthy business-critical quarterly forecasts, built on a deep understanding of the dynamics of user growth across Duolingo’s product portfolio. 🧠 You will... Join a small team of data scientists focused on User Growth forecasting. Collaborate with peers and mentor junior data scientists to ensure that our forecasts remain trustworthy and reliably delivered. Work with diverse stakeholders to develop forecasts that reflect a deep understanding of our product development, big bets, and evolving business strategy. Translate complex analytical findings into clear narratives for senior leadership and cross-functional partners. Influence strategic decisions through a combination of technical depth and effective communication. Develop and validate methodological advances to our forecasts, aligning methodological strengths with business priorities. Build systems and processes that ensure our forecasting process is robust and repeatable. ✅ You have... Applied industry experience building forecasts in messy real world settings where details, confounds, and t

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi