Data Scientist / Deployment Engineee

Shift Technology

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.        Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com   ABOUT SHIFT TECHNOLOGY   Shift Technology is a global leader in insurance-grade AI, dedicated to transforming the industry’s most critical workflows. We build and deploy advanced AI solutions that empower insurance teams to work smarter, detect fraud and risk, assess liability, and automate complex claim processes with unmatched speed and accuracy. Trusted by over 120 customers across 30 countries, we combine deep industry expertise with cutting-edge agentic AI to help human experts make faster, more confident decisions and deliver exceptional service to millions of policyholders worldwide. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures, and together we are creating the future of insurance. ABOUT THE TEAM This role is part of the Data Science team, which is the largest department in our organization, consisting of close to 200 Data Scientists throughout the world. Our Data Scientists work in a full-lifecycle role across a broad range of subjects, acquiring extensive technical and professional experience in data science, data engineering, software engineering, business understanding, and client engagement. TEAM IMPACT & FOCUS * The Data Science team actively participates in the definition and development of our suite of products focused on fraud detection, anti-money laundering, and claim automation. * We possess deep technical and professional experience across coding, data science, data engineering, and client interactions. * We work with a highly diverse set of data types, including structured data, free text, documents, and images. * Our company is small enough that each person’s achievements have an impact on our overall performance, yet big enough to be a world leader and innovator in our domain. * You will work alongside technical experts, playing a key role in deploying our enterprise-level solutions to our clients. * Local Context: You will be joining the Brazilian Data Science team, which works mostly for US Property & Casualty (P&C) customers. Our main focus is deploying solutions to new clients, maintaining client production, and contributing to the development of our Fraud Detection Solution. ROLE PURPOSE & RESPONSIBILITIES Your primary purpose is to deploy Shift Technology’s solutions to new clients and maintain the solution for existing clients, which includes managing data pipelines, executing ETL processes, and developing, testing, tuning, and deploying fraud detection models.   You will be in charge of a designated pod of clients and execute the following duties: * Client Implementation: Implement Claim Fraud Detection (CFD) for new clients, focusing on ETL setup, detection implementation, and workflow automation. * Feature Deployment: Roll out new platform features to existing clients. * Optimization: Drive continuous improvements across existing client environments and pipelines. * Stakeholder Engagement: Interact with internal and external stakeholders to define client roadmaps, collect user feedback, present business cases, and report regularly on solution performance. * Leadership & Mentorship: Actively mentor more junior data scientists on the team. REQUIREMENTS & SKILLS We are looking for a professional with 3+ years of experience in a similar role (deployment engineering, data science, data engineering, or software engineering).   * Software Engineering: A strong background in an OOP language (such as C#, C/C++, or Java) and SQL. We thrive on people who can write maintainable, production-quality code that runs every day without breaking. * AI Competency: AI-savvy with a clear understanding of statistics, machine learning, and data solutions. Must be able to communicate these concepts internally and explain how the product works to clients. * Client Interaction: Client-facing comfort. You need to be open to communicating directly with our clients on a regular basis. * Business Acumen: Business smart. We do not expect prior knowledge of the insurance sector, but you must be eager to learn and master the business aspects of our products. * Collaboration: A dedicated team player who works effectively with a diverse group of people and collaborates well across multiple teams. * Autonomy & Proactivity: Demonstrate a high level of autonomy, effectively anticipating risks, making informed decisions, and ensuring clear, consistent reporting and visibility for leadership and stakeholders. * Language: Fluency in English alongside good overall communication skills is a strict requirement. JOB OVERVIEW * Employment Type: This is a permanent, full-time CLT position. * Location: This is a Hybrid role based in São Paulo, Brazil. BENEFITS & PERKS * Health Insurance: AMIL ONE S6500 Black * Dental Insurance: AMIL DENTAL 205 * Meal Voucher: R$1,026 Extended Parental Leave: 30 daysPrivate Pension with company matchingMAD Days: 2 MAD Days per year (Make A Difference Days for paid volunteering). RECRUITMENT PROCESS 1. HR Screening Call 2. CodinGame Assessment 3. Technical Interview with a Data Scientist 4. Last Round Interview with the Hiring Manager To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight: * Flexible remote and hybrid working options * Competitive Salary and a variable component tied to personal and company performance * Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth * Generous PTO and paid holidays * Mental health benefits  * 2 MAD Days per year (Make A Difference Days for paid volunteering) Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit. At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs. Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process. Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.

Trustpilot

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has genuine content from real people with real experiences. That means eliminating fake reviews and acting on signs of suspicious behavior to protect our platform from fraudulent activity. Our Trust Applied AI team’s mission is to use advanced modeling to safeguard the integrity of online reviews, and we have several cross-functional teams devoted to Trust where Applied AI is integral to achieving our goals.   We are looking for a Data Scientist to join our Trust team. You and your team will work to develop, deploy, and maintain innovative models at scale, alongside a cross-functional team of software developers, product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business with our Technology and Product teams. You will also work closely with stakeholders in Legal and Platform Integrity. To succeed in this role, you should have proven experience in developing and deploying ML models, ideally using graph data. You need a strong technical foundation and hands-on experience in all stages of data preparation, exploration, and modeling. An adaptable mindset and understanding of the interface between Applied AI and engineering are essential as you will be working in cross-disciplinary teams. Experience with deploying solutions into production is expected, as you will be responsible for implementing end-to-end solutions—from data preprocessing to serving predictions.   What you will do: * Be hands-on in delivering the Applied AI / Data Science component of key strategic projects in Trust, from building and fine-tuning language models to sequence modeling, graph-based models, etc. * Develop, maintain, and deploy production-ready ML models, with tooling support from ML engineers * Engage with both technical and non-technical stakeholders and contribute to the Trust roadmap * Seize the chance to meaningfully influence our business through the latest advancements in Applied AI and keep Trustpilot on the edge of innovation when it comes to fake review detection * The opportunity to work with market-standard data engineering and deployment technologies including Google Agent Platform tools and Google BigQuery, and with leading Data Science tools and emerging technologies for model building and deployment * Opportunities to develop your career in a friendly, diverse, international team and workplace   Who you are: * Experience with analytical and quantitative problem-solving using advanced statistical techniques and machine learning methods. Particularly relevant experience: high-precision classification focus, graph neural networks, graph algorithms used within machine learning, fine tuning of large language models, working with large label sets with varying label quality, and adversarial machine learning. * Experience in building and deploying production-ready ML models at scale, and solid data engineering skills, ideally in GCP * Ability in Python and SQL for data manipulation, modeling, and scripting * Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Knowledge of behavioral data, detecting misbehavior and/or fraud at scale is a big plus * Knowledge of data pipelining and prior experience with cloud-based ML model deployments * Great communication skills - both with technical colleagues and with business stakeholders  * 2-3 years or more of technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy   What’s in it for you: * A range of flexible working options to dedicate time to what matters to you * Competitive compensation package + bonus * 25 days holiday per year, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)  * Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community * Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist * Comprehensive health package, pension, and full access to Headspace, a popular mindfulness app to promote positive mental health * Paid parental leave * Central office with  a laid-back vibe and constant buzz of different languages being spoken everywhere you go It’s complete with a coffee bar, canteen, and table tennis and has a wide variety of refreshments available - you can opt-in for breakfast and lunch at an affordable price * Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials * Opportunity to join the Trustpilot Social Club for a small monthly fee and attend regular social and leisure activities like go-karting, cooking classes, and escape rooms  * Employee discounts to restaurants and shops  Still not sure? We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in  Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.  We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.  Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@trustpilot.com) quoting the role you wish to apply for.

Almedia

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. DATA SCIENTIST £130K – £230K • Offers Equity • Offers Bonus THE ROLE We are looking for versatile Data Scientists to join us at a pivotal stage of growth. We don’t believe in a "one-size-fits-all" data profile. We value diverse technical lenses—whether you are someone who: * thrives on topics like causal inference, measurement expertise, experimental design, or builder of business logic with a rigorous mathematical backbone who scales data products, * zero-to-one specialist who loves the ambiguity of turning a raw idea into a revenue-generating system. These are some example traits that we are looking for in candidates, beyond your typical data science tasks. You will be part of a team that prizes "AI-First" thinking and building. We want people who love to debug a problem deeply once, if you have to debug it twice, it’s time to automate it. We strive for high standards but remain focused on business outcomes. Every model or dashboard must have a clear "so what?" WHAT YOU MIGHT WORK ON Depending on your seniority, experience or specialisation, your impact may involve some (but not all) of the following: * Designing ML models that power real-time recSys, ranking and pricing algorithms, optimising for engagement and conversion within our gaming ecosystem. * Building reward structures and user-incentive systems that balance user motivation with sustainable ROAS through uplift modelling and pricing optimisation. * Leading complex experimentation iterations in data driven verticals, product or user acquisition, including causal impact estimation or measurement strategies such as MMM and Multi-Touch Attribution. * Zero to one projects, taking a blank slate in a unexplored domain and turning it into a production-ready data product, from initial data structures to final deployment. * Partnering with engineering to refine and develop our stack and system architecture and establishing "gold standard" documentation. WHAT WE’RE LOOKING FOR * Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling or user-incentive systems. * Robust experience of data engineering workflows and modern data stack tools (e.g DBT, Airflow, K8s, Terraform). * Proficiency in Python and SQL; experience with cloud platforms (GCP preferred) * Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.