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Join Nexton as a Data Scientist specializing in Dataiku and drive innovative data solutions for our clients in the banking and insurance sectors. In this role, you will leverage your analytical skills to extract insights and develop predictive models that enhance decision-making processes.
Nexton is a leading consulting firm dedicated to delivering exceptional data-driven solutions to the banking and insurance industries. Our commitment to innovation and excellence makes us a trusted partner for businesses looking to harness the power of data.
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Search for Data Scientist Ai Engineer At Lemlist Paris
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About Us 👇🏼At lemlist, we are dedicated to revolutionizing sales engagement. Our platform empowers sales teams with innovative tools and insights, providing them with the competitive edge they need to succeed.Having achieved remarkable growth from a startup to a profitable B2B SaaS company with a valuation of $150M and an ARR of $35M within just 6 years, w…
At lemlist, we have grown from the ground up to achieve $45M ARR, and we are on an ambitious path to become a $1B company within the next five years.We prioritize action over words and are seeking a Strategic Operations Associate to be the trusted partner of our Chief of Staff and CEO, driving forward the pivotal projects that will shape our future.This role is ideal for proactive individuals who excel in structuring, analyzing, and adapting to change.As a key player, you will be at the heart of our decision-making processes, contributing to M&A activities, pricing strategies, performance management, and company culture.Your RoleStrategic Execution (40%)You will spearhead critical initiatives from inception to completion, collaborating closely with the leadership team.Examples include:Conducting market intelligence through customer interviews to gather insights.Developing pricing scenarios that evaluate impacts on ARR, NRR, and churn.Analyzing sales performance to identify bottlenecks and propose solutions.Creating structured board memos that present clear decisions, options, and recommendations.Conducting due diligence on potential acquisition targets, assessing financial, product, and market fit.Company Rituals (30%)You will ensure that clarity and culture scale alongside our growing team, maintaining alignment and engagement.Every presentation you create should be inspiring, clear, and reflective of lemlist's core values.Examples include:Designing bi-monthly all-hands presentations.Building presentations for team kickoffs and bonding activities.Refining ritual structures to enhance execution speed.CEO Narrative (20%)You will amplify the voice and visibility of the CEO.Examples include:Identifying high-impact podcasts to increase US inbound engagement.Crafting keynote presentations that align with our product vision.Formulating narratives for our AI-first positioning.Facilitating connections between the CEO and key stakeholders like prospects, customers, and thought leaders.Whatever it Takes (10%)Embrace a flexible approach to support the team in achieving our goals.
About lemlist & Claaplemlist is a cutting-edge sales engagement platform that provides sales teams with a significant competitive advantage.Since our inception, we've experienced remarkable growth, scaling from $0 to $40M ARR within six years without external funding. Today, we stand as a profitable B2B SaaS entity valued at $150M, serving over 40,000 sales teams globally in managing their outbound strategies.In November 2025, we proudly acquired Claap, a $2M ARR sales conversation intelligence platform.This acquisition heralds an exciting new phase: the development of an AI-driven end-to-end sales platform designed to empower teams to secure more meetings and close more deals.The Role: Video Content LeadWe are in search of a Video Content Lead who will take charge of lemlist’s video strategy from inception to execution.Your objective is to transform video into a strategic growth mechanism rather than merely a production task.This entails crafting impactful video content that aligns with our core initiatives (product launches, growth strategies, employer branding) while resonating with our target audience: B2B sales teams and RevOps professionals.This senior-level role offers a high degree of autonomy within the Marketing team, working directly alongside the CMO and closely collaborating with Product Marketing, Growth, and Brand teams.You will not simply receive briefs; you will anticipate needs, propose innovative ideas, manage projects, and deliver video content that is precise, timely, and on-brand.ResponsibilitiesEditorial Leadership & Video Content StrategyLead the editorial vision for lemlist’s video content across various formats and platforms.Develop concepts, angles, and key messages tailored to our target audiences (B2B Sales & RevOps).Write or oversee the creation of video scripts for product launches, social media content, YouTube formats, TikTok, and internal communications.Ensure strong editorial coherence and brand consistency across both lemlist and Claap.Critically evaluate and enhance ideas generated by Marketing or Leadership to maximize clarity, relevance, and impact.Proactively generate new video concepts that align with company priorities.Video Project Management (A to Z)Manage the entire video production process from conception to completion, ensuring alignment with strategic goals.Collaborate with cross-functional teams to execute video projects that enhance engagement and drive results.
Eurofins Scientific
Eurofins Scientific is seeking an AI Engineer & Data Scientist intern to join the team in Paris. This internship offers the chance to contribute to projects that use artificial intelligence and data science to address challenges across multiple sectors. What you will do Work alongside experienced professionals on real-world assignments Participate in data collection and preparation Support the development of machine learning models Help implement analytical solutions for ongoing projects Learning opportunities Gain hands-on experience in data analysis and AI applications Collaborate with a multidisciplinary team Develop practical skills in model development and deployment This role is based in Paris and focuses on practical work in artificial intelligence and data science within a collaborative environment.
Theodo: Pioneering Digital TransformationSince 2009, Theodo has empowered innovative companies to design, develop, and deploy ingenious digital products, leveraging cutting-edge technology and a Lean approach.With exceptional growth over the past 15 years, Theodo now boasts a team of over 700 passionate Software Engineers dedicated to continuous improvement. Our expansion has led to specialized divisions (Theodo Apps, Theodo Cloud, Theodo Data & AI) focused on various technologies and industries (Fintech, Govtech, Healthtech, Consumer Products). By 2025, Theodo aims to achieve a revenue of €100M.Theodo Data & AI: Innovating with Intelligence Established in 2016, Theodo Data & AI is dedicated to guiding clients in shaping and executing their data strategies while developing state-of-the-art artificial intelligence solutions. Our growth trajectory is impressive, with over 30% annual revenue growth, creating exciting opportunities for our team.Join Our Dynamic Team:We work collaboratively across our projects, with the Lead Data & AI Engineer, Data & AI Engineer, and Product Manager ensuring impactful results for our clients.We are seeking a Data & AI Engineer to work across our Data Engineering and Data Science initiatives.- Data Engineering: Focus on data architecture, pipeline construction/migration, and data warehousing to ensure reliable data extraction, transformation, and usability.- AI/Data Science: Involve in predictive modeling, machine learning, computer vision, and MLOps.Your Responsibilities:- Deliver high-quality code within deadlines, ensuring best practices (testing, refactoring) and effective debugging for sustainable solutions.
Join Nexton as a Data Scientist specializing in Dataiku and drive innovative data solutions for our clients in the banking and insurance sectors. In this role, you will leverage your analytical skills to extract insights and develop predictive models that enhance decision-making processes.
About MistralAt Mistral, we are on a transformative journey to democratize artificial intelligence, creating cutting-edge intelligence solutions accessible to all. Our models are crafted collaboratively by engineers from across the globe, ensuring a truly open development process.We pride ourselves on being a dynamic, collaborative team dedicated to the revolutionary potential of AI. Our diverse workforce thrives in competitive environments, united in our commitment to innovation, with teams spanning Europe, the USA, and Asia. Creativity, humility, and teamwork are at the heart of our culture.At Mistral, we focus on developing models for both enterprises and consumers, aiming to reshape how businesses function and how AI integrates into everyday life. We release pioneering models as open-source, enabling everyone to explore and benefit from our advancements.We are currently looking for talented individuals specializing in the training of large language models and distributed systems. Join us in shaping the future of AI!Your Responsibilities* Innovate and implement advanced methodologies to advance the capabilities of large language models.* Explore diverse use cases (e.g., reasoning, coding, agents) and modalities (e.g., text, images, speech).* Develop tools and infrastructure that facilitate the training, evaluation, and analysis of AI models at scale.* Collaborate with fellow scientists, engineers, and product teams to deliver impactful AI systems.Qualifications* Proficient in at least one programming language (Python, Rust, Go, Java) with a strong software engineering background.* Hands-on experience with AI frameworks (e.g., PyTorch, JAX) or distributed systems (e.g., Ray, Kubernetes).* Demonstrated high engineering competence, capable of designing complex software for production environments.* Self-motivated, autonomous, and an effective team player.Preferred Qualifications* Practical experience in training large transformer models in distributed settings.* Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment processes.
Our Mission:At Avisia, we engage in 100% data-driven projects that blend technical and operational dimensions. Depending on your profile and interests, you will have the chance to work on projects that tackle purely technical challenges or more business-oriented issues.Our clients span a range of diverse sectors including Luxury, Retail, Telecommunications, Banking, and Insurance. You will encounter a variety of data science themes in your projects.Here are some current project examples:Designing models to forecast sales generated on an e-commerce platform for a retailer. #ForecastingDeveloping and industrializing a recommendation engine aimed at optimizing conversion rates for website visitors. #RecommendationCreating an attrition score to identify slowly declining customers for a major retail company. #ChurnImplementing customer segmentation to enhance marketing and sales actions for a brand (targeting, retention, based on channel preferences). #CustomerSegmentation
Join Back Market as a Senior Data Scientist in our AI Core team, where you will play a crucial role in shaping the future of technology in the refurbished electronics market. In this position, you will leverage your expertise in data science to develop innovative AI solutions that enhance our platform's capabilities and improve user experience.Your responsibilities will include analyzing complex datasets, building predictive models, and collaborating with cross-functional teams to drive data-driven decision-making. You will also have the opportunity to mentor junior data scientists and contribute to the overall growth of our data science capabilities.
Join Theodo as a Lead AI EngineerAt Theodo, we have been supporting innovative companies since 2009 in the design, development, and deployment of cutting-edge digital products by leveraging the best of technology and Lean methodologies.With 15 years of exceptional growth, Theodo boasts a team of over 700 passionate software engineers committed to continuous improvement. Our organization has diversified into specialized entities focusing on technology (Theodo Apps, Theodo Cloud, Theodo Data & AI) and industries (Fintech, Govtech, Healthtech, Consumer Products). By 2025, Theodo aims to generate a revenue of €100 million.Established in 2016, Theodo Data & AI is dedicated to assisting clients in shaping and implementing their data strategies, alongside researching and developing state-of-the-art artificial intelligence solutions.Our company is thriving: Theodo Data & AI experiences over 30% annual revenue growth, creating exciting new opportunities for our team members!
Our Mission:At Avisia, we engage with our clients on 100% data-driven projects that merge technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects addressing purely technical challenges or more business-oriented issues.Our clients span a variety of industries including Luxury, Retail, Telecom, Banking, and Insurance. The data science projects you may be involved in will also cover diverse topics.Current project examples include:Developing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine to enhance website visitor conversion rates. #RecommendationEstablishing an attrition score to identify slowly declining customers for a large retail chain. #ChurnImplementing customer segmentation to optimize marketing and sales actions based on channel contact preferences. #CustomerSegmentation
Mistral AI
Role OverviewJoin our innovative team at Mistral in the heart of Paris as a Data Scientist. In this pivotal role, you will collaborate closely with product management, research, and engineering teams to analyze user behaviors, enhance product performance, and develop data-driven features aimed at advancing our cutting-edge AI product suite.We are looking for individuals who thrive in fast-paced, dynamic environments and enjoy solving complex problems. This is an exciting opportunity for those who wish to directly influence our product roadmap. The successful candidate will possess a robust background in data analysis, statistical modeling, and machine learning, with a track record of achieving exceptional results in high-pressure situations.If you're passionate about data, enthusiastic about AI, and ready to make a substantial impact on our data science strategy, we invite you to apply.Key Responsibilities• Define essential metrics, thoroughly assess the performance of our AI offerings, and pinpoint areas for enhancement.• Design and conduct experiments (A/B tests, causal inference) to validate hypotheses and inform product strategies.• Spearhead end-to-end data science projects, encompassing data collection, preprocessing, model development, evaluation, and deployment.• Assess model performance in both training and production environments, identifying edge cases and creating frameworks to gauge user satisfaction.• Collaborate with engineering teams to ensure the integrity and accessibility of data for analytics and machine learning applications.• Depending on your level of expertise, mentor colleagues and disseminate best practices in data science and analytics.Candidate ProfileEssential Qualifications:• A minimum of 2 years of professional experience as a Data Scientist.• A Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.• Proficiency in Python and SQL.• A strong technical aptitude complemented by excellent communication skills.
Our Mission:At Avisia, we engage with our clients on data-driven projects that seamlessly blend technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects that address purely technical challenges or more business-oriented issues.Our clientele spans a wide array of industries including Luxury, Retail, Telecommunications, Banking, and Insurance. The data science missions you might be involved in are equally diverse.Here are a few current project examples: Designing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine aimed at optimizing visitor conversion rates on a website. #RecommendationDeveloping an attrition score to identify slowly declining customers for a major retailer. #ChurnImplementing customer segmentation to enhance marketing and sales strategies based on channel preferences. #CustomerSegmentation
About DoubleVerify and ScibidsDoubleVerify, in collaboration with Scibids, stands at the forefront of AI-driven digital campaign activation. Our innovative solutions empower brands worldwide to enhance ad performance, optimize outcomes, and streamline operational efficiency. Utilizing advanced technology that operates independently of digital identifiers like cookies, our platform integrates seamlessly with leading Demand-Side Platforms, including The Trade Desk, DV360, and Xandr. For more insights, visit our website.Scibids’ AI Optimization technology empowers trading desks with machine learning tools that leverage real-time performance data, enabling them to determine the optimal bidding strategies for each advertising opportunity. This approach results in significant performance enhancements for advertisers. Our Paris office is home to a talented team of over 30 Data Scientists working in tandem with DoubleVerify’s global engineering and data science teams.About the RoleThe mission of Scibids AI is to equip media buyers with automated buying strategies for display campaigns, achieving exceptional performance with minimal human intervention.As a Senior Data Scientist, you will play a pivotal role in refining and advancing the Scibids DoubleVerify bidding algorithms—the core intelligence of our platform. You will lead the enhancement of our automation framework, translating complex business challenges into scalable product improvements. This role demands a unique blend of statistical acumen and practical implementation skills.Your day-to-day responsibilities will include:Overseeing projects from inception through to production deployment and monitoring, ensuring accountability at every stage.Mentoring junior data scientists and developers, providing technical expertise, conducting code reviews, and sharing best practices to uphold high standards of code quality.Working with extensive datasets, handling billions of ad impressions each month and millions of variables.Tackling complex analytical challenges that cannot be solved with standard machine learning techniques.Addressing intricate scaling and engineering challenges as our operations expand.
Shift Technology
Join Shift Technology, a pioneering AI platform dedicated to revolutionizing the insurance industry. We harness generative, agentic, and predictive AI to enhance underwriting processes, optimize claims management, and mitigate fraud and risk, resulting in operational efficiency, superior customer experiences, and tangible business impact. Our solutions are trusted by leading insurers worldwide, delivering AI solutions that matter most at scale with proven effectiveness.Our culture is rooted in innovation, trust, and a commitment to transforming the insurance landscape through our cutting-edge SaaS platform. With team members from over 50 different countries and cultures, we are collectively shaping the future of insurance.Are you a recent graduate eager to embark on your first full-time Data Science career?As a Data Scientist at Shift, you will engage with a diverse array of projects, contributing significantly to the design and advancement of our product suite, particularly in fraud detection, anti-money laundering, and claims automation. Our team, comprised of experts in data science, data engineering, coding, and client engagement, is dedicated to delivering innovative solutions. You will work with various data types, including structured data, unstructured text, documents, and images.This role is an excellent opportunity for those seeking a permanent position; Shift is the perfect launchpad for your career!About the TeamAs part of our expansive Data Science team, which is the largest in the organization with over 200 Data Scientists globally, your contributions will be vital in enhancing and deploying our Fraud Detection solution.Our Data Scientists tackle a full lifecycle of projects, acquiring extensive technical and professional expertise across data science, engineering, coding, business acumen, and client relations.Your Responsibilities...Contribute actively to the insurance roadmap and collaborate with clients on diverse data types including structured data, free text, documents, and images.Implement data engineering processes, from client extract to data insertion in our storage solutions (SQL, ElasticSearch).Develop, test, and optimize models for tasks such as fraud detection and automation in complex environments.Automate critical business tasks by integrating them into our production framework using C#.
Paris | Full-time | Fluent & As e-commerce continues to flourish, independent brands face challenges in matching the logistics efficiency of giants like Amazon. At Bigblue, we are dedicated to transforming this landscape.We empower brands by democratizing top-tier operations, enabling them to scale faster while providing a five-star customer experience.Since our inception in 2018, we have developed a tech-driven logistics platform that supports over 500 brands, ranging from dynamic DTC players to globally recognized names like MUJI, Aigle, and Cabaïa. With a growing team of 110+ employees across Paris, Madrid, and London, our proprietary Warehouse Management System (WMS) Atlas and our network of 7 warehouses throughout Europe allow us to tackle logistics challenges that others shy away from — making fulfillment faster, smarter, and more sustainable.Supported by over $20M in funding and trusted by the next generation of e-commerce leaders, we are rapidly expanding — aiming for 10 million orders in 2024 as we set our sights on ambitious enterprise growth. We seek a dedicated partner to help us navigate this bold journey ahead.The Role of Data at BigblueAt Bigblue, we are fundamentally data-driven. Data informs our decision-making processes at every level. Our unique position at the heart of our merchants’ operations, combined with our close connection to our fulfillment network, gives us access to vast amounts of fresh, real-time data. This data not only reveals how our merchants are performing but also highlights how we can support their growth. As our network expands geographically, we encounter new data challenges, prompting us to further increase our data team in 2025.Key ResponsibilitiesAddress Customer Data ChallengesAs an integral member of the data practice within the Bigblue product team, you will tackle crucial challenges for our business and our merchants. Your role will involve engaging in product development cycles, focusing on data-related issues while collaborating with designers, engineers, and stakeholders both within and outside of Bigblue. You will oversee the entire problem-solution-experimentation lifecycle, from building proof of concepts to rapidly launching features and experiments to achieve strategic objectives. Your solutions may include data analysis, algorithm development, and machine learning models.Potential projects may include:• Developing a reliable, real-time delivery ETA for buyers,• Enhancing our internal logistics algorithms to optimize specific operational facets...
Polar Analytics
Join Polar Analytics: The Premier Data Platform for Consumer Brands At Polar Analytics, we transform complex data into actionable insights, empowering brands to make informed decisions swiftly and efficiently. Our platform is powerful yet accessible, providing DTC brands with the analytics they need to achieve scalable profitability. Our mission is clear: we aim to accelerate the growth of independent DTC brands—enabling them to compete effectively and profitably.Why Choose Polar Analytics? 4,000+ Brands and CountingWe’ve expanded to over 4,000 active merchants as of January 2025, with plans to reach 10,000+ within this year. Revolutionizing AnalyticsPolar is redefining the Shopify analytics landscape through innovative data infrastructure designed for seamless orchestration—placing us at the leading edge of AI-powered commerce automation. Supported by Top-Tier InvestorsWe have successfully raised $28.5M from prestigious investors like Frst, Point9, and Chalfen Ventures, recognized for identifying future industry leaders early. A Team of eCommerce & Data InnovatorsOur diverse team comprises seasoned professionals from leading eCommerce SaaS platforms and Silicon Valley data powerhouses, all united by a common goal: to forge the next industry leader.About UsWe are developing a cutting-edge data & AI operating system tailored for eCommerce—think of it as Datadog for retail.Our work involves processing and refining complex Shopify, advertising, and retention data, making it reliable and actionable for teams.We are seeking engineers who desire real ownership and impact.Your RoleIn this role, you will be engaged with core systems including data pipelines, semantic layers, AI evaluation, and experimentation tools that are vital for thousands of merchants daily.This is not a conventional ticket-taking position. You will:Take ownership of challenges from design through to productionSolve complex infrastructure issues (handling petabytes of data, near real-time processing, and high reliability)
Who are we?At MARGO, our consultants focus on what truly matters: complex projects that merge intellectual challenges with real business impact.That’s why we support leading players in finance, industry, and technology on their most strategic initiatives in Data Science, Machine Learning, and Artificial Intelligence.Why join the AI practice?You will be part of a team guided by Hamza Bouanani, Practice Manager of AI at MARGO, who is also the Lead Data Scientist at BNP Paribas.Working alongside him means joining a team of passionate experts, being technically and methodologically challenged, and contributing to high-impact projects for our clients.Your MissionsWe are currently looking for a Lead Data Scientist for an investment bank:- You will be part of an international team of 80 individuals (Paris & Portugal) comprising data engineers, front-end and back-end developers, data scientists, and AI engineers, collaborating on ambitious and varied projects.- You will lead and contribute to major projects for the investment bank, including:- Implementation of AI / Generative AI / LLM / Machine Learning across various banking domains;- Flagship project: creation of an internal translation engine, utilized by 60,000 users;- Setup and industrialization of LLM;- Analysis of ESG data and development of a web interface to advise on sustainable behaviors;- Mentoring and coaching data scientists and AI engineers;- Collaboration with front-end, back-end, and data engineering teams to ensure the industrialization and quality of models.Profile RequiredWe seek demanding engineers and data scientists, passionate about AI and eager to evolve in complex environments.- Master's degree (engineering school, university, PhD appreciated);- Strong skills in Python and ML/DL libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.);- Initial experience in Data Science, Machine Learning, ideally in NLP / Generative AI;- Ability to lead teams and oversee complex technical projects;- Strong interest in demanding environments where quality is prioritized over quantity;- Analytical mindset, sense of challenge, and a taste for high-value projects.What We Offer
Join Theodo as an Engineering Manager in Paris!Since 2009, Theodo has been a driving force in supporting innovative companies with the design, development, and deployment of ingenious digital products, leveraging cutting-edge technology and a Lean approach.Theodo has experienced remarkable growth over the last 15 years, now boasting a team of over 700 passionate software engineers dedicated to continuous improvement. As we expand, we have structured our organization into specialized entities focusing on different technologies (Theodo Apps, Theodo Cloud, Theodo Data & AI) and industries (Fintech, Govtech, Healthtech, Consumer Goods). By 2025, we anticipate generating €100M in revenue.Theodo Data & AI, established in 2016, is dedicated to data and AI solutions. Our mission is to guide clients in crafting and executing their data strategies, along with researching and developing state-of-the-art artificial intelligence solutions.Our company is on an upward trajectory, with Theodo Data & AI seeing over 30% annual revenue growth, creating exciting new opportunities for our team!The technical team at Theodo comprises 120 software engineers, tech leads, and architects from top engineering schools, supported by 13 Engineering Managers dedicated to their success.Your mission includes:- Leading and mentoring Tech Leads: You will support 1 to 4 Tech Leads in enhancing their skills and achieving personal growth.- Ensuring technical delivery: You will guarantee code quality (3S: stability, security, speed), adherence to milestones, and architectural robustness.- Contributing to business development: You will participate in strategic discussions with clients (CIOs, sponsors, etc.), help identify opportunities, and play a key role in pre-sales with our sales team.Your tools for success:• Direct management by Theodo's CTO or VP of Engineering• Lean management training from top Lean coaches• Access to advanced technology and resources to support your team's success
About TeadsTeads is a premier omnichannel advertising platform dedicated to delivering exceptional outcomes for brand and performance advertisers across various screens. Our commitment to achieving meaningful business outcomes for branding and performance objectives is realized through the application of predictive AI technology, which connects high-quality media, stunning brand creative, and contextually-driven addressability and measurement. We proudly partner with over 10,000 publishers and 20,000 advertisers worldwide. Headquartered in New York City, Teads boasts a diverse global workforce of approximately 1,700 employees across more than 30 countries.To learn more, visit www.teads.com.Our Engineering Challenges at TeadsDevelop efficient and user-friendly web products utilized by countless users representing the world’s leading publishers, advertisers, and agencies.Diverse tech stack and system architecture to enhance performance, scalability, resilience, and cost-effectiveness. Our primary technologies include Scala and TypeScript, among others.High-traffic environment (2.2 billion users per month, 100 billion events daily) with stringent low latency and high availability requirements (2 million requests/second, responses in under 150 milliseconds).Management of extensive datasets with millisecond-level access times to execute a near real-time complex auction resolution algorithm (18 million predictions per second).Dynamic environment where we continuously collaborate with product teams and adapt our Cloud infrastructure to support new features and enhancements.
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