Data Science

Job Opportunity: Senior Data ScientistAre you passionate about making a meaningful impact through data? We are working with a renowned financial services organization that’s committed to transforming the industry through innovative data-driven solutions. This organization, founded over 80 years ago, is dedicated to helping individuals, families, and businesses reach their financial goals by putting people first. Their core values—Integrity, Collaboration, Accountability, Agility, Respect, and Excellence—define not only the way they do business but also how they treat their employees. If you're ready to join a team that combines purpose, growth opportunities, and cutting-edge projects, this could be the perfect fit for you.Role Overview: Senior Data ScientistIn this high-impact leadership role, you will collaborate across product, sales, marketing, and executive teams to leverage data insights that drive strategic business solutions. You’ll analyze vast datasets to uncover trends, optimize processes, and create predictive models that inform decision-making across the organization. If you have a background in data science and are ready to elevate the company’s capabilities through advanced analytics, innovation, and practical AI applications, we’d love to hear from you.Key Responsibilities:Collaborate with internal teams to identify and prioritize opportunities for leveraging data in product development, marketing strategies, and business processes.Extract and interpret data to create actionable insights that drive business growth and customer engagement.Evaluate the accuracy of new data sources and data collection methods.Develop and deploy custom algorithms and predictive models to optimize customer experience, boost revenue, and refine ad targeting.Establish and refine an A/B testing framework to evaluate model performance.Coordinate with cross-functional teams to implement models and track their outcomes in real-time.Design tools and processes to monitor data accuracy and model effectiveness.Skills and Qualifications:Experience: 4-7 years in data science, with a strong record of driving business impact.Technical Skills: Proficiency in Python, Power BI, SQL, and data manipulation tools; experience with cloud platforms (Snowflake, AWS SageMaker, Azure AI) and MS Power Apps.Machine Learning: Skilled in a variety of machine learning techniques, including clustering, decision trees, neural networks, and natural language processing (NLP).Statistical Knowledge: Solid understanding of advanced statistical techniques and real-world application.Communication: Strong written and verbal communication skills, essential for translating complex analytics to stakeholders.Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field is preferred.Compensation:Competitive salary estimated between $150,000 - $170,000 USD, with potential for additional incentive compensation based on skills, experience, and location.This position offers a hybrid work environment, allowing for flexibility and collaboration. All qualified candidates are encouraged to apply, as our client is committed to creating an inclusive and supportive workplace for all team members.Ready to lead impactful data science projects with a forward-thinking team? Apply today to explore this exciting opportunity!

Quantitative Engineer in Finance AnalyticsAre you a skilled quantitative professional looking to elevate your career while shaping the future of financial analytics? We’re hiring a Quantitative Engineer, Finance Analytics – Director for an industry-leading commercial bank that values innovation, collaboration, and meaningful impact.Why This Role?This is more than a job—it's a chance to lead from the front. As the modeling expert within the Finance Analytics team, you’ll design and implement cutting-edge financial models that drive strategic decision-making and regulatory compliance. Starting as an individual contributor, you’ll lay the groundwork for building and managing a high-performing team of analysts and engineers.What You’ll Do:🔹 Model Development & ImplementationDevelop advanced CECL credit loss models for stress-testing, reserving, and underwriting.Personally code, test, and maintain these models to ensure they meet business and regulatory needs.🔹 Data Mastery & Workflow OptimizationCreate scalable data workflows using tools like Apache Airflow.Drive impactful business insights with advanced dashboarding tools like Tableau or Qlik Sense.🔹 Documentation & ComplianceProduce detailed reports and collaborate with risk management, audit, and regulatory teams.🔹 Stakeholder Collaboration & LeadershipBuild strong relationships across Finance, Risk, IT, and other business units.Help plan the vision and structure of a future team of quantitative professionals.What We’re Looking For:Experience:5+ years working with complex data systems (Oracle, SQL).5+ years in software/data engineering, especially within financial services.3–5 years in financial modeling or analytics roles.Technical Skills:Proficiency in Python, SAS, or R.Hands-on experience with cloud platforms like AWS, Azure, or GCP.Expertise in statistical modeling and machine learning techniques.Mindset & Core Competencies:Analytical thinker with a knack for problem-solving.Exceptional organizational and time management skills.Strong communication skills to bridge technical and non-technical teams.Preferred Skills:Background in full-stack development.Knowledge of CI/CD pipelines and best practices.Proven ability to gather and synthesize diverse data sources for actionable insights.Education:Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Data Science, or STEM fields. Alternatively, a strong Finance or Business background paired with technical expertise.🎯 Ready to Drive Change in Financial Services?Join a forward-thinking team that values integrity, innovation, and excellence. This is your opportunity to work on impactful projects, grow your career, and contribute to a dynamic industry.💼 Apply Now and take the next step in your journey!

Job Opportunity: AI Researcher (Speech Processing)Specialization: ASR, TTS, Voice Synthesis & AILocation: AmsterdamSalary: Competitive, negotiable depending on experienceAbout UsDeepRec.ai are delighted to be collaborating with a leading research center in Amsterdam, focused on cutting-edge AI and voice technologies. Specializing in ASR and TTS, we’re seeking an innovative researcher passionate about voice synthesis, voice conversion, and AI-driven research.Your RoleAdvance Speech Technologies: Conduct research in ASR and TTS, including projects in voice cloning and conversion.Develop Innovative Models: Create advanced algorithms for speech recognition, synthesis, and voice conversion.Evaluate Across Languages: Test ASR and TTS systems in multiple languages using varied metrics.Collaborate and Deploy: Work with researchers and engineers to integrate your work into scalable solutions.Publish Your Research: Present findings at conferences and in leading journals.Partner with Linguistic Experts: Collaborate with native speakers to enhance multilingual performance.QualificationsEducation: PhD or Master’s in Computer Science, Electrical Engineering, or a related field.Experience: At least 3 years in ASR and TTS, with a record of delivering impactful solutions.Technical Skills: Proficient in Python, with hands-on experience in PyTorch or TensorFlow for speech synthesis.Communication: Strong written and verbal skills; ability to work in a diverse, collaborative team.Language: Fluent in English; proficiency in additional languages is a plus.What's On OfferCompetitive Salary and BenefitsAccess to High-Performance ResourcesCollaborate with Global Experts

Role: 🎵 Senior/Lead Audio Researcher – Music GenerationLocation: 📍 Israel Preferred / 🌍 Remote Considered (Europe)Salary: 💰 Highly Competitive (negotiable depending on experience)The Company:DeepRec.ai are working with a cutting-edge AI company developing tools that empower creators and businesses to produce innovative, high-quality content. As they expand into AI-driven music generation, they seek a Senior Audio Researcher to lead this effort, combining advanced research, engineering, and leadership to drive groundbreaking developments in generative audio technology.Role Overview:You will design and train state-of-the-art generative audio models, focusing on encoding and decoding audio signals for music creation. As a key leader, you’ll guide a team, publish research, and develop scalable systems for real-world applications, shaping the future of AI-driven music.Key Responsibilities:Lead research on large-scale generative audio models for music and audio signal processing.Build and optimize scalable systems for music generation.Guide and mentor multidisciplinary teams, fostering collaboration and innovation.Publish findings in top-tier conferences and represent the company in industry events.Explore synergies between music and speech generation models.Qualifications:Advanced degree in a relevant field (PhD preferred).Proven experience in training large-scale generative audio models and encoding/decoding audio.Proficiency in Python, deep learning frameworks, and audio signal processing.Strong publication record in top-tier conferences (e.g., NeurIPS, ISMIR).Excellent communication and leadership abilities.What's on Offer:Competitive salary and benefits.Opportunity to lead an innovative AI-driven music initiative.Flexible, collaborative work environment.

Join a top research centre in Amsterdam!Information Retrieval Research EngineerExtremely Competitive Salaries based on experience.What You'll Do:As a Research Engineer, your primary focus will be on advancing the fields of Information Retrieval and Generative Models.Responsibilities:Design, implement, and optimize information retrieval models and establish a strong retrieval-augmented generation (RAG) system.You will be responsible for the research, development, and optimization of cutting-edge models that significantly improve the accuracy and efficiency of information retrieval systems.Additionally, you will play a key role in enhancing the user experience of interacting with generative models.This work will involve exploring and addressing the challenges of multimodality, where the input data may include various formats beyond text, such as images, audio, and video.Qualifications:Master’s or Ph.D. in Computer Science, ideally a related field with a focus on NLP, ML, or IR.Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch.Solid understanding of deep learning architectures, including transformers, BERT, GPT, etc.Proven track record of research excellence, demonstrated through publications in relevant conferences and journals.

Deputy Head of AI – Hybrid in Lausanne (3 Days in Office)Looking for your next big challenge in AI? This exciting leadership role blends cutting-edge technology with strategic influence, offering the chance to shape AI strategies and drive impactful projects.✨ Key Responsibilities🔧 Technical Leadership: Guide AI projects with expertise in Generative AI, LLMs, multimodal models, and computer vision.🤝 Team Management: Mentor and lead AI scientists, ensuring high-quality project delivery.💼 Business Development: Identify and develop new AI consulting opportunities.🌟 Client Engagement: Act as the main client contact, aligning solutions to their AI needs.📊 Project Oversight: Ensure timely and successful execution of AI initiatives.🚀 Innovation: Stay ahead of AI trends, proposing cutting-edge solutions.🛠️ Skills & Requirements🧠 Expertise: Strong background in Generative AI, LLMs, computer vision, and MLOps (e.g., MLFlow, Kubernetes).🎓 Education: Advanced degree (Master's or Ph.D.) in AI, Machine Learning, or related fields.👩‍💻 Technical Proficiency: Python, PyTorch, TensorFlow, LangChain.🌍 Language Skills: Fluent in French; additional European languages are a bonus.💬 Communication: Exceptional client-facing and interpersonal skills.📈 Experience: Proven track record in AI leadership roles, particularly in consulting.💸 CompensationBase Salary: CHF 120,000–140,000 (negotiable for exceptional candidates).Perks: Lunch allowance (in office/client site) + CHF 300/month travel reimbursement.🔍 Hiring ProcessIntroductory Interview: Non-technical discussion with two managers.Technical Assessment: Coding interview, including code review.Final Interview: Focus on leadership, technical expertise, and cultural fit.🌟 Why Join?This is your chance to lead transformative AI projects across industries, collaborate with high-profile clients, and shape innovative solutions in a multicultural and dynamic consulting environment. Enjoy Switzerland's renowned quality of life while leveraging the latest AI advancements like Generative AI, LLMs, and multimodal models.Flexible work options: Full-time or 80%.

We’re looking for a (Senior) Consultant with a passion for AI, automation, and business analysis to join our client’s mission. Here, you'll empower clients with data-driven insights, helping them make smarter decisions, optimize strategies, and boost business performance.💼 Your RoleAs a trusted advisor and innovator for this large scale enterprise, you will: 🔍 Support clients with projects in data strategy, architecture, analysis, visualization, automation, governance, and AI. 🛠️ Plan and execute workshops, interviews, and co-creation sessions to uncover client needs. 📈 Analyze, document, and define data, AI, and automation requirements, ensuring clarity and precision. 📊 Develop business cases, user interfaces (wireframes/mockups), and strategies to deliver actionable insights. 🤝 Translate technical and business analysis into system and interface requirements. 🚀 Lead the development and validation of use cases, ensuring smooth implementation and stakeholder alignment.🧠 Your ExpertiseWe’re looking for candidates who bring: 🌟 Fluency in German and English (spoken and written). 🌟 A strong academic background in Business, IT, or related fields. 🌟 1-5 years of experience in business analysis, consulting, or requirements engineering. 🌟 Knowledge of data, analytics, and automation (e.g., Data Engineering, AI, Advanced Analytics, or Process Automation). 🌟 Hands-on programming experience (e.g., Python). 🌟 Familiarity with project methodologies (Hermes, SCRUM, SAFe), modeling tools, and frameworks (e.g., DevOps, MLOps, BPMN). 🌟 A customer-focused mindset with strong analytical and problem-solving skills. 🌟 A collaborative team player who thrives in an inclusive environment.Bonus: Certifications in Business Analysis (e.g., IREB, CBAP/CCBA) or practical experience with tools like UiPath/Power Apps.If you are interested in this opportunity, feel free to reply back to this AD with your most up to date CV or if you have any further questions, feel free to send an email to @nathan.wills@deeprec.ai

Senior Machine Learning Engineer - Switzerland 🌟Are you ready to take your ML career to the next level? 🚀 We're on the hunt for a Senior Machine Learning Engineer to join our dynamic ML team! You'll tackle a variety of exciting challenges where ML is the secret sauce. In this role, you'll be the driving force behind the team's success, bringing innovative ideas to life and delivering impactful solutions. 💡✨What You'll DoAs a Senior ML Engineer, you'll:💼 Lead projects from concept to execution, collaborating with clients, teams, and stakeholders.🎯 Design and develop end-to-end ML products that solve real-world problems.🤝 Mentor and inspire your team, fostering success and growth.🧠 Analyze complex problems, devise creative solutions, and execute with precision.📊 Dive deep into data, transforming it into actionable insights with ML techniques.You'll also play a key role in explaining technical concepts to both technical and non-technical audiences, from team members to clients and investors. 🎙️👥Key Responsibilities✅ Empower the team to achieve outstanding results.✅ Identify and seize opportunities for new business and innovative products.✅ Champion cutting-edge applied ML practices.✅ Build pipelines, preprocess data, and engineer features.✅ Develop and validate ML models.✅ Design scalable infrastructure and ensure smooth delivery.Our Stack🔧 Languages: Python, R📚 Libraries: Scikit-learn, PyTorch, TensorFlow/Keras☁️ Cloud: GCP, AWS, Azure⚡ Tech: Apache Spark, relational databases, CI/CD, KubernetesWhat We're Looking For🌟 MSc or Ph.D. in a quantitative field.🌟 Proven experience leading ML projects from start to finish.🌟 Strong grasp of ML algorithms and frameworks.🌟 Excellent communication skills (in-person, blog posts, events).🌟 Passion for writing clean, maintainable code and sharing your knowledge.Bonus Points🎯 Leadership in fast-growing organizations.🎯 Product experience from ideation to monetization.🎯 Expertise in deep learning, data pipelines, and DevOps.If you are interested in this role, feel free to apply to this job AD with your most up to date CV or if you have any questions, feel free to contact nathan.wills@deeprec.ai