
element61 · Moore Brussel
YOUR MISSION Data Science and Data Engineering go hand-in-hand, and a good Data Scientist has solid data engineering skills. During your first 18 months in thi...
Data Science and Data Engineering go hand-in-hand, and a good Data Scientist has solid data engineering skills. During your first
18 months in this mixed Junior position, you'll get a rapid learning and hands-on curve working on the broad Analytics domains.
You'll build Data Pipelines, set up Data Platforms, do CICD, build ML models, do feature engineering, do visualization exercises,
and much more. This Junior position is a great opportunity to learn what it takes to do Analytics from end to end.
Our job offer is there to reflect a mixed Data Engineer/Scientist position: i.e., one where we’ll be asking you to crunch data
with the objective to build data-driven insights, machine learning models, and to embed them in end-to-end applications (such as
genAI applications) to production.
As a Data Engineer/Scientist, you aim to work hands-on to deliver data-driven platforms, machine learning models & genAI
applications. Every mission we’ll embark on a trajectory with concrete deliverables and a deadline. This means that we can
guarantee you a variety of engagements across clients & industries: e.g., one month you might be working on ingesting time-series
data for a manufacturing customer and, another month, on a churn model for a marketing client.
& models
learning, Data Analytics, and generative AI
Engineers, and also Business Stakeholders
Being a Data Engineer/Scientist at element61 means you will work with businesses and executives in Belgium, helping them to
understand the impact of (big) data, analytics, machine learning & artificial intelligence. As time passes, we’ll encourage you to
build a functional expertise within a business or technical domain within your interest, such as ad-tech, deep learning, digital
marketing, predictive maintenance, or others.
reflects in
learning)
Join our fast-growing Analytics & AI team as a Data Engineer/Scientist to join us on impactful data projects with top experts
delivering value, structure, and smiles across clients & teams!
YOUR MISSION We live in a data-driven world where data can be leveraged for reporting & analysis, but also for data-driven products and applications. Companies are collecting and storing more and more data. Yet, translating this raw data into valuable insights is often missing. Within the Data Science & Analysis team, our goal is to accelerate innovation with the data of our customers and help them valorize their data. To support this growing team, we are looking for extra enthusiastic and entrepreneurial people. The Data Science & Analysis team at element61 works with clients and helps them understand the impact of (big) data, digital & analytics on their business model, define a compelling strategy, and get the job done. You will be part of a mixed team of Data & Analytics Strategists, Data Scientists, and Analysts and will help our clients from strategy, over providing insights to supporting multiple Analytics tracks (including machine learning and genAI projects). KEY RESPONSIBILITIES As a Data Scientist/Analyst, you aim to work hands-on to deliver Data-Driven Insights to your customers. Every mission we embark on will be a collaboration with the customer, where we translate their ambitions into concrete deliverables. This leads to a variety of engagements across clients, business functions & industries: e.g., one month you might be working for the Finance team in a manufacturing context and, another month, on a churn analysis for Marketing for a utility customer. * Guide customers towards supporting their business use case or idea with Data-Driven Insights & Analytics * Use statistical analysis to interpret data sets, discover trends and patterns that could be valuable for customers * Apply Machine Learning techniques to translate data into predictive insights. * Develop and maintain generative AI applications (beyond chatbots), including prompting, indexing, LLM choice, and front-end integration * Design and develop Reports and Dashboards aimed to be used by business teams * Be a thought partner for the client Data Analysts teams in tackling their specific challenges, limitations & ambitions with Data & Analytics * Inspire customers with insights, opportunities on new data-driven use cases * Embrace project management aimed at getting the job done. This will include working with client Data Scientists, Data Engineers, and Business Stakeholders * Be an on- and offline ambassador for the element61 team Working at element61 means you will work with businesses and executives in Belgium, helping them to understand the impact of (big) data and analytics on their business processes and activities. As time passes, we’ll encourage you to build functional expertise within a business or technical domain within your interest, such as ad-tech, digital marketing, finance or supply chain. YOUR PROFILE * University degree in Computer Science or (Business) Engineering and/or a specialized master's in Machine Learning or AI, which reflects in * Knowledge about machine learning approaches and the variety of models which exist & their application area (e.g., SVM, RNN, Deep learning) * Knowledge about Data Science basics, including sampling and the various evaluation metrics * Knowledge about Generative AI techniques * Minimal experience in SQL, Python or R is required * No working experience required; any experience can be a plus * Knowledge of analytics tools (Power BI, Databricks, Azure) is considered a plus * First experience with genAI technology is considered a plus * Passionate about data, analytics & machine learning technology and eager to learn * Enthusiastic about being part of a growing Analytics team and industry * Fluency in English, Dutch or French is a plus WHY US? Join our fast-growing Analytics & AI team as a Data Engineer/Scientist to join us on impactful data projects with top experts delivering value, structure, and smiles across clients & teams!
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.
Principal data engineers at Thoughtworks, are strategic leaders who spearhead data engineering initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data engineering within the client organization. They draw upon their profound expertise in developing modern data architectures and infrastructure for the management of data applications. Effective collaboration is paramount, as data engineers adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members. At Thoughtworks, data engineers leverage their deep technical knowledge to solve complex business problems, making a significant impact on client success. JOB RESPONSIBILITIES * You will collaborate with sales and pre-sales to clarify requirements and design viable solutions and drive pursuits with technical stakeholders. * You will establish a clear vision and direction for the data paradigm/practices, aligning it with the overall business strategy. * You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality. * You will consult on complex data platform programs, synchronizing cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert. * You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems. * You will collaborate with data scientists to design scalable implementation and production of their models. * You will write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. * You will design and implement the strategy around data governance, data security and data privacy to support business and compliance requirements. * You will represent Thoughtworks in various online and offline forums, including events and conferences. JOB QUALIFICATIONS TECHNICAL SKILLS * You must have extensive pre-sales experience and a proven ability to independently drive complex pursuits and create winning commercial proposals. * You have experience leading enterprise data strategy, system design, and the end-to-end implementation of large-scale technical solutions. * You are a native-level German speaker (C1) who is comfortable driving consensus and managing expectations with senior technical stakeholders. * You possess hands-on experience in system design using Domain-Driven Design principles for complex enterprise organizations with multiple domains. * Working with data excites you; you have designed Big Data architectures, built and operated data pipelines, and managed data storage within distributed systems. * You have a deep understanding of data modeling and practical experience with modern data engineering tools, platforms, and cloud warehousing solutions. * You are a "hands-on" leader—equally happy writing production-grade code as you are leading a team to implement a vision. * You have built and deployed large-scale data pipelines and data-centric applications using distributed storage and processing platforms in production environments. * You have experience designing and developing streaming solutions (Cloud or On-premise) leveraging leading technologies and industry best practices. * You have experience implementing data governance and security policies, complemented by a solid understanding of MLOps and data science concepts. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. * You are a proven leader with a track record of encouraging teammates in their professional development and relationships. * Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.