Chez Javelot, nous avons la conviction que la technologie est une source de progrès pour l’agriculture. Nous sommes une entreprise du milieu agricole (#AgriTech) qui a pour ambition de devenir le leader de la transformation digitale de l’après-récolte. 🌾&nbsp;Notre priorité est d’accompagner nos clients (coopératives, négoces agricoles, agriculteurs) dans leur transition vers le zéro insecticide de stockage, de leur permettre de consommer moins d’énergie et d’optimiser leurs flux logistiques ! En bref, notre mission est de rendre l’après-récolte + simple, + efficace et + responsable!Pour cela, nous avons développé deux solutions digitales :&nbsp;<ul> <li>Store&amp;Save, une plateforme d’hypervision des stocks de grains et de thermométrie</li> <li>Plan&amp;Save, une plateforme de pilotage de la supply chain agricole</li> </ul>Rejoindre l’aventure JAVELOT c’est donc avant tout s’engager pour une mission impactante avec une écoresponsabilité forte ! 🌍Notre équipe de plus de 75 collaborateurs, répartis à Lille, Bordeaux, Paris, Lyon et même à l’international, permet à + de 1000 utilisateurs de piloter pas moins de 15 millions de tonnes de céréales à travers le monde.C’est dans ce contexte que nous recrutons un(e) Data Analyst expérimenté(e) pour définir et mettre en œuvre notre vision Data.Missions Tu auras pour mission de mener des analyses stratégiques et de garantir des insights fiables pour orienter les décisions métiers :<ul> <li>Tu es responsable de la collecte, de la transformation et de la gestion des données.</li> <li>Tu réalises des analyses exploratoires approfondies pour identifier des tendances, des anomalies et des insights pertinents, contribuant à la prise de décision stratégique.</li> <li>Tu développes, suis et optimises les indicateurs de performance afin de fournir une vision précise de l’activité et de ses leviers de croissance.</li> <li>Tu conçois et crées des visualisations de données claires et impactantes, adaptées pour faciliter la compréhension et l’action.</li> <li>Tu collabores étroitement avec les équipes métiers (Account Manager, Customer Success, R&amp;D, ...) pour comprendre leurs besoins et traduire les données en recommandations opérationnelles.</li> <li>Tu assures la documentation des processus analytiques, des modèles de données et des insights afin de garantir la traçabilité et le partage des connaissances au sein de l’équipe.</li> <li>Tu identifies des opportunités d’optimisation des processus métiers et proposes des solutions basées sur les données pour améliorer l’efficacité opérationnelle.</li> </ul>Stack technique <ul><li>Ingestion : Airbyte</li></ul><ul> <li>Data warehouse : PostgreSQL</li> <li>Transformation : Airflow / dbt</li> <li>Data visualization : Tableau</li> <li>Analytics : Python &amp; SQL</li> </ul>Requirements<ul> <li>Tu possèdes une expertise d’au moins 5 ans en analyse de données et es à l’aise avec le langage Python ainsi qu’avec des requêtes SQL et noSQL avancées.</li> <li>Tu as de solides compétences en statistiques et probabilités, te permettant de produire des analyses rigoureuses et de justifier des recommandations chiffrées.</li> <li>Tu maîtrises les outils de visualisation de données (Tableau, Power BI, bibliothèques Python) et sais créer des représentations claires et percutantes.</li> <li>Tu es orienté(e) solution et méthodique, avec une forte capacité à analyser des problèmes complexes et à proposer des réponses adaptées.</li> <li>Tu travailles efficacement en mode agile, sais documenter tes processus et structurer tes analyses pour assurer une communication fluide au sein de l’équipe.</li> <li>Tu as une excellente capacité de communication et sais transformer tes analyses en récits compréhensibles et exploitables par les décideurs.</li> <li>Tu maîtrises l'anglais, tant à l'écrit qu'à l'oral.</li> <li>Curieux(se) et en veille constante, tu te tiens informé(e) des nouvelles technologies et tendances pour adapter tes compétences aux besoins de l’entreprise.</li> </ul>Benefits<ul> <li>Une mission impactante avec des enjeux cruciaux : Rejoins-nous pour participer à la digitalisation de la filière agricole et la rendre plus simple, plus responsable et plus efficace pour les générations futures. Ton travail aura un véritable impact !</li> <li>Des valeurs humaines au cœur de notre politique RH : Nous prônons une culture d'entreprise axée sur le faire équipe, la confiance, le progrès et l’engagement.</li> <li>Des locaux conçus pour la convivialité (à Lille, Paris ou Bordeaux) : Nos espaces sont aménagés pour favoriser les moments de partage et de détente.</li> <li>Horaires de travail flexibles : Nous offrons une grande souplesse pour permettre à chacun de concilier vie professionnelle et personnelle.</li> <li>Afterworks réguliers : Nous organisons des événements pour célébrer nos succès et renforcer les liens entre collègues, que ce soit pour des temps forts ou simplement pour se retrouver.</li> <li>Activités sportives hebdomadaires (voire quotidiennes !), jeux de société… : Que tu sois amateur de sport ou passionné de jeux, il y en a pour tous les goûts !</li> <li>Un package attractif et des avantages : tickets restaurant, télétravail jusqu’à 2 jours / semaine, 8 à 11 RTT par an …</li> </ul>Nous sommes une entreprise inclusive.Chez Javelot, nous sommes convaincus que le bien-être de nos collaborateurs est la clé de notre succès. C'est pourquoi nous nous engageons à créer un environnement de travail où chacun se sent bien et nous sommes fiers de promouvoir la diversité au sein de nos équipes. Toutes les candidatures que nous recevons sont examinées selon un processus défini basé sur les compétences.

Senior Data Analyst H/F

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Are you intrigued by the potential of quantum computing to transform data analysis and unlock insights beyond the reach of classical systems? Do you excel at analyzing complex datasets using cutting-edge quantum tools, extracting meaningful patterns, and translating them into actionable insights? If you’re ready to be at the forefront of the data revolution, our client has the perfect role for you. We’re seeking a Quantum Data Analyst (aka The Quantum Insight Explorer) to leverage quantum-powered solutions to solve intricate data problems and uncover transformative insights.As a Quantum Data Analyst at our client, you’ll collaborate with quantum researchers, data scientists, and engineers to apply quantum techniques to real-world data challenges. Your expertise in data analytics, quantum algorithms, and statistical modeling will be essential in driving innovation and delivering impactful results.Key Responsibilities:<ol> <li>Analyze Data Using Quantum Tools:</li> <ul><li>Utilize quantum computing platforms and frameworks to process and analyze large-scale datasets, leveraging the power of quantum algorithms for tasks such as clustering, classification, and optimization.</li></ul> <li>Apply Quantum-Enhanced Machine Learning:</li> <ul><li>Explore the application of quantum machine learning models to solve predictive analytics problems and uncover complex patterns in data.</li></ul> <li>Develop and Optimize Quantum Data Pipelines:</li> <ul><li>Design workflows that integrate quantum computing into data analysis pipelines, ensuring efficient data preparation, processing, and result generation.</li></ul> <li>Collaborate on Quantum Algorithm Development:</li> <ul><li>Work closely with quantum algorithm developers to refine and adapt quantum techniques for specific data-driven use cases, ensuring they align with practical needs.</li></ul> <li>Benchmark Quantum vs. Classical Approaches:</li> <ul><li>Compare quantum-powered methods with classical data analysis techniques, evaluating performance, scalability, and real-world applicability.</li></ul> <li>Visualize Quantum-Enhanced Insights:</li> <ul><li>Create compelling data visualizations that communicate quantum-derived insights to stakeholders, bridging the gap between complex computations and actionable intelligence.</li></ul> <li>Stay Updated on Advances in Quantum Data Science:</li> <ul><li>Research emerging trends in quantum computing and data analytics, incorporating new methodologies into your work to stay ahead of the curve.</li></ul> </ol>RequirementsRequired Skills:<ul> <li> Proficiency in Quantum Computing Frameworks: Experience with tools like Qiskit, Cirq, TensorFlow Quantum, or PennyLane for quantum algorithm implementation.</li> <li> Strong Data Analysis Expertise: Knowledge of classical data analytics tools and frameworks, such as Python (Pandas, NumPy), R, or SQL, with experience in statistical modeling and machine learning.</li> <li> Mathematical and Analytical Skills: Strong foundation in linear algebra, probability, and optimization, essential for understanding and applying quantum algorithms.</li> <li> Programming Proficiency: Advanced skills in Python or similar programming languages for developing data analysis workflows and integrating quantum tools.</li> <li> Problem-Solving and Innovation: Ability to identify opportunities where quantum computing provides value and design solutions tailored to complex data challenges.</li> </ul>Educational Requirements:<ul> <li> Master’s or Ph.D. in Data Science, Computer Science, Physics, Mathematics, or a related field. Equivalent experience in quantum computing and data analytics may be considered.</li> <li>Certifications or specialized training in quantum data science, machine learning, or data visualization are advantageous.</li> </ul>Experience Requirements:<ul> <li> 3+ years of experience in data analysis or data science, with at least 1 year focused on quantum computing applications.</li> <li>Proven track record of solving data problems using advanced techniques, with experience applying quantum or hybrid quantum-classical methods.</li> <li>Familiarity with real-world datasets and domain-specific challenges in industries such as finance, healthcare, or logistics is a plus.</li> </ul>Benefits<ul> <li>Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.</li> <li>Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.</li> <li>Work-Life Balance: Flexible work schedules and telecommuting options.</li> <li>Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.</li> <li>Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.</li> <li>Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.</li> <li>Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.</li> <li>Tuition Reimbursement: Financial assistance for continuing education and professional development.</li> <li>Community Engagement: Opportunities to participate in community service and volunteer activities.</li> <li>Recognition Programs: Employee recognition programs to celebrate achievements and milestones.</li> </ul>

Quantum Data Analyst (The Quantum Insight Explorer)

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Are you passionate about merging quantum computing and artificial intelligence to solve problems that classical systems can’t? Do you excel at creating innovative machine learning algorithms designed for quantum systems, unlocking new possibilities in optimization, predictive modeling, and data analysis? If you’re ready to pioneer quantum-enhanced AI, our client has the perfect opportunity for you. We’re seeking a Quantum Machine Learning Engineer (aka The Quantum AI Trailblazer) to develop and implement cutting-edge quantum machine learning (QML) algorithms that redefine the future of AI.As a Quantum Machine Learning Engineer at our client, you’ll collaborate with quantum physicists, AI researchers, and software developers to build hybrid quantum-classical systems that harness the power of quantum computing for advanced machine learning applications. Your expertise in quantum programming, machine learning, and optimization will be essential in driving innovation and delivering impactful solutions.Key Responsibilities:<ol> <li>Develop Quantum Machine Learning Algorithms:</li> <ul><li>Design and implement QML algorithms for applications such as classification, clustering, reinforcement learning, and generative models.</li></ul> <li>Integrate Quantum and Classical Systems:</li> <ul><li>Build hybrid frameworks that seamlessly combine quantum computing with classical machine learning techniques to enhance performance and scalability.</li></ul> <li>Optimize Quantum Circuits for QML Tasks:</li> <ul><li>Create and refine quantum circuits to efficiently implement machine learning operations, considering hardware constraints like gate fidelity and qubit decoherence.</li></ul> <li>Collaborate on Real-World Applications:</li> <ul><li>Apply QML algorithms to solve practical challenges in industries like finance, healthcare, logistics, and materials science, demonstrating quantum advantage.</li></ul> <li>Test and Benchmark Algorithms on Quantum Platforms:</li> <ul><li>Evaluate QML models using simulators and real quantum hardware, such as IBM Quantum, Google Quantum AI, or Rigetti. Analyze performance and compare results with classical approaches.</li></ul> <li>Stay Updated on Advances in QML and Quantum Hardware:</li> <ul><li>Research emerging techniques in quantum machine learning and assess their potential impact on the field. Incorporate the latest tools and methodologies into your work.</li></ul> <li>Collaborate on Open-Source Contributions:</li> <ul><li>Develop and contribute to open-source libraries and frameworks that support QML research and development, advancing the broader quantum computing community.</li></ul> </ol>RequirementsRequired Skills:<ul> <li> Expertise in Quantum Computing: Proficiency with quantum programming languages such as Qiskit, Cirq, TensorFlow Quantum, or PennyLane, with a solid understanding of quantum mechanics and hardware constraints.</li> <li> Machine Learning Mastery: Strong knowledge of machine learning concepts, frameworks, and algorithms, with experience in libraries like TensorFlow, PyTorch, or Scikit-learn.</li> <li> Programming Proficiency: Advanced skills in Python and familiarity with C++ or other high-performance programming languages.</li> <li> Mathematical and Analytical Skills: Deep understanding of linear algebra, probability theory, and optimization techniques, essential for QML development.</li> <li> Problem-Solving and Creativity: Ability to translate complex problems into innovative quantum-enhanced machine learning solutions.</li> </ul>Educational Requirements:<ul> <li> Master’s or Ph.D. in Computer Science, Machine Learning, Physics, Mathematics, or a related field. Equivalent experience in quantum computing and AI may be considered.</li> <li>Research publications or projects in quantum machine learning or related fields are highly desirable.</li> </ul>Experience Requirements:<ul> <li> 3+ years of experience in machine learning or quantum computing, with a proven track record of developing algorithms or applications in QML.</li> <li>Experience with hybrid quantum-classical workflows and real-world data applications.</li> <li>Familiarity with quantum hardware platforms and their limitations, such as noise and qubit count constraints.</li> </ul>Benefits<ul> <li>Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.</li> <li>Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.</li> <li>Work-Life Balance: Flexible work schedules and telecommuting options.</li> <li>Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.</li> <li>Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.</li> <li>Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.</li> <li>Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.</li> <li>Tuition Reimbursement: Financial assistance for continuing education and professional development.</li> <li>Community Engagement: Opportunities to participate in community service and volunteer activities.</li> <li>Recognition Programs: Employee recognition programs to celebrate achievements and milestones.</li> </ul>

Quantum Machine Learning Engineer (The Quantum AI Trailblazer)

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Are you looking to start a career in data analysis but don’t have prior experience? Join our team as a Trainee Data Analyst, and we will provide all the training you need to succeed in this exciting field. This role is perfect for someone analytical, curious, and eager to learn, with a passion for working with data. As a Trainee Data Analyst, you will work alongside experienced professionals and gain hands-on experience in data processing, analysis, and visualisation. We’re committed to your development and will support you every step of the way as you grow into a skilled data analyst.Responsibilities:<ul> <li>Data Collection &amp; Processing: Assist in gathering, cleaning, and organising large datasets from multiple sources.</li> <li>Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques.</li> <li>Reporting &amp; Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format.</li> <li>Collaboration: Work closely with senior analysts and other departments to understand business needs and contribute to ongoing projects.</li> <li>Learning &amp; Development: Participate in training sessions and apply new skills to real-world projects, with the opportunity to specialise in areas such as data science, business intelligence, or machine learning.</li> <li>Documentation &amp; Process Improvement: Assist with documenting analysis processes and identifying areas where data workflows can be optimised.</li> </ul>RequirementsWe are looking for someone who has:<ul> <li>A passion for data and problem-solving.</li> <li>Strong attention to detail and a methodical approach.</li> <li>An eagerness to learn new tools and techniques.</li> <li>Strong communication skills and the ability to work effectively in a team.</li> </ul>This role is Ideal for someone with no prior data experience but a keen interest in starting a career in data analysis.Benefits<ul> <li>Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more.</li> <li>Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role.</li> <li>Hybrid Working: Enjoy a flexible work arrangement with a combination of remote work and office-based collaboration.</li> <li>Supportive Team: Join a friendly, inclusive team that encourages growth and learning.</li> <li>Competitive Salary: Receive a competitive starting salary with performance-based increases.</li> <li>Health &amp; Wellbeing: Access to health benefits and wellbeing initiatives.</li> <li>Paid Time Off: Generous annual leave and public holiday allowances to support a healthy work-life balance.</li> <li>Professional Growth: Opportunities to take on more responsibilities and specialise in areas of data analysis that interest you.</li> </ul>

Junior Data Analyst

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 500 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are headquartered in Silicon Valley and have our global delivery center in India.If you are passionate to work on unstructured business problems and data engineering programs leveraging data and excited about building, leading, and enabling a team of analytics and data engineering professionals toward that objective, we would like to talk to you. <ul> <li>As a client partner, you will be responsible for account management, client relationships, and account growth. </li> <li>You will work on some of the latest applications of data science, data engineering, ML Engineering, and BI to solve complex business problems.</li> <li>You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value.</li> <li>You will collaborate with the client’s business stakeholders to understand key business questions, and challenges, and help develop a roadmap that identifies and prioritizes key initiatives.</li> <li>You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth.</li> <li>You will be responsible for P&amp;L for your account portfolios managing revenue and margin goals.</li> </ul>Requirements<ul> <li>16+ yrs experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large data engineering programs. </li> <li>Experience in managing large accounts and active involvement in account growth. P&amp;L ownership in the past would be an added advantage</li> <li>Ability to engage with CXO and VP / Director level stakeholders from the client’s team and with internal remote teams to define business problems and construct solution approaches in the areas of Pricing, Underwriting, Marketing, Distribution, Claims, and Operations.</li> <li>Knowledge of domains like Financial Services or Supply Chain, Manufacturing, and Pharma.</li> <li>Experience in the latest open-source cloud-based tech stack.</li> <li>Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc. preferably in Insurance business context.</li> <li>Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS &amp; Hive would be an advantage.</li> <li>Excellent communication (written and verbal) and presentation skills.</li> <li>Ability to work with global teams, playing a lead role in communicating client business problem context to the remote teams and leveraging them effectively in execution, while owning client presentation, project management and expectation setting.</li> <li>NJ/NY based with open to travel (up to 50%) mostly in US North East. </li> <li>Education Qualification - Bachelor's or Higher degree in Statistics, Mathematics, or a related quantitative field.</li> </ul>BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Director- Client Partner, Analytics Consulting NJ

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Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities<ul> <li>Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.</li> <li>Experiment, evaluate, and create generative AI products for a variety of tasks, such as extracting data, summarizing documents, and other generative model applications.</li> <li>Use fine tuning and advanced knowledge retrieval methods to improve the performance of generative AI models on specific tasks</li> <li>Evaluate the performance of models and make necessary improvements</li> <li>Collaborate with other scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop generative AI products</li> <li>Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.</li> <li>Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.</li> <li>Collaborate, coach, and learn with a growing team of experienced Data Scientists. </li> <li>Stay connected with external sources of ideas through conferences and community engagements</li> </ul>Requirements<ul> <li>5+ years of experience working as a GenAI Data Science.</li> <li>Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git</li> <li>Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)</li> <li>Experience with Bedrock, JumpStart, HuggingFace</li> <li>Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)</li> <li>Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning</li> <li>Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)</li> <li>Experience developing models from inception to deployment</li> </ul>BenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Senior Data Scientist - GenAI

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ABOUT US:PolicyStreet is a leading InsurTech group, specialising in innovative digital insurance solutions for businesses and consumers in Southeast Asia and Australia. With a network of over 40 providers, we offer a comprehensive range of products, including embedded insurance, customised employee benefits, financial advisory, and digital solutions – making insurance straightforward, for everyone. Through our regional group of companies, we serve more than 5 million customers with over US$ 4 billion in sum insured. WHAT YOU’LL DO:<ul><ul> <li>Collaborate with stakeholders to integrate, verify, and unify data from multiple sources for reliable analysis.</li> <li>Maintain data integrity by identifying anomalies, investigating root causes, and maintaining consistency.</li> <li>Collaborate with stakeholders to understand business requirements to generate actionable insights.</li> <li>Identify trends and uncover opportunities to inform and drive business decisions for positive outcomes.</li> <li>Build and maintain reporting tools to track and monitor business performance.&nbsp;</li> <li>Work closely with Data Engineers to improve data collection process and quality.</li> </ul></ul>RequirementsWHAT WE EXPECT OF YOU: <ul><ul> <li>Bachelor’s degree in Data Science, Data Analytics, Mathematics, Computer Science, or a related field.</li> <li>Minimum of 4 years in data analytics.</li> <li>Proficiency in SQL.</li> <li>Hands-on experience with Business Intelligence (BI) tools.</li> <li>Knowledge of data structures, data modeling and data architecture.</li> <li>Proven experience handling data anomalies and transforming raw data into structured, usable formats for analysis.</li> <li>Strong analytical and problem-solving abilities.</li> <li>Excellent written and verbal communication skills.</li> <li>Ability to work independently and collaboratively as part of a team.</li> <li>Creative self-starter with a proactive, can-do attitude and eagerness to learn quickly.</li> </ul></ul>BenefitsPERKS YOU’LL GET TO ENJOY WHILE WORKING HERE!<ul> <li>Medical and Life insurance.</li> <li>A wide range of health benefits - including optical, dental, and physiotherapy.</li> <li>Opportunities for continuous and rapid growth as well as skills enhancement.</li> <li>Collaboration with a talented and youthful team that makes the work and learning a lot more fulfilling and fun.</li> <li>And a well stocked pantry!</li> </ul>Join Our Team in Shaping the Future of InsuranceAs a homegrown startup that seeks to innovate how we use and think of insurance, we value teammates who think big, challenge the old ways, and take extreme ownership.In PolicyStreet, we aim to do better, to serve people better. We are committed to pushing boundaries of innovation and to develop Purposeful and Simple insurance solutions for businesses and consumers, narrowing the protection gap and improving financial inclusivity in the region.If you are driven to make change, keen to be at the forefront of insurance innovation, and grow with a team of talented and motivated people, we’d be just as excited to get to know you too!Find out more about us via our website at <a href="http://www.policystreet.com" rel="nofollow noreferrer noopener" class="external">www.policystreet.com</a>.At PolicyStreet, we uphold the principles of equal opportunity and embrace diversity. We are committed to a workplace free from discrimination based on race, religion, colour, gender, sexual orientation, age, marital status, veteran status, or disability status.

Data & AI

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