
element61 · Moore Brussel
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...
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).
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.
integration
Data & Analytics
Engineers, and Business Stakeholders
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.
reflects in
Deep 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!
Who we are Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. What you will be doing: Key responsibilities As a Junior Data Scientist, your role will encompass: * Leading and conducting ambitious projects in the transformation of clients through data * Having a contributor role in raising the level of competencies of the data science team * Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients * Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department * You’ll also participate in international projects. Business travel is something you enjoy! Among your responsibilities as Senior Data Scientist, you will be responsible for: Leading data projects * Managing the resources on your projects to ensure challenges and skills are well match * Securing delivery on your projects * Communicating the successes of your projects among the company * Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs * Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech role model * Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives * Researching and developing new technical approaches to address problems efficiently * Sharing best practices and contributing to Artefact’s institutional knowledge * Embodying Artefact’s values and inspiring others to do the same Qualifications: Education & experience required * A Master’s degree in machine learning, mathematics, computer science, or related fields * 2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) * Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture * Experience leading a technical project in a business context * Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact What we are looking for * A Doer: you get things done and inspire your teams to do the same * An Analyst: you LOVE data and think every company should take their decisions with facts * A Pragmatist: you have a hacker mindset and always find the quick wins * A Mentor: your clients and teams naturally seek for advice * An Adventurer: you’re an entrepreneur constantly looking for problems to solve Why you should join us * Artefact is the place to be: come and build the future of marketing * Progress: every day offers new challenges and new opportunities to learn * Culture: join the best team you could ever imagine * Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
About the Job Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter? With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We've launched in the US with offices in NYC and Los Angeles — and we're looking for a Senior Data Scientist to help define what world-class data science looks like on our founding team. ---------------------------------------------------------------------------------------------------------------------------------- Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results our clients can measure. We have 2,000 employees across 36 offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. We design data-driven solutions tailored to each client's specific needs — always conceived with a business-first mindset and delivered with tangible, measurable results. Our expertise is built on deep AI knowledge acquired through 1,000+ client engagements across the globe. Find out more at artefact.com. What You Will Be Doing As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements. You'll move fluidly between data exploration, model development, and executive communication — bringing scientific rigor to business problems and translating results into strategies that clients actually implement. This isn't a role where you hand off findings and walk away. You'll be embedded with clients, co-owning outcomes, and ensuring that the models you build don't just perform in a test environment — they create real, lasting impact in production. You'll also be a technical anchor for our US team, setting standards, mentoring junior data scientists, and contributing to the methodologies that define Artefact's edge. Key responsibilities include: * Designing and building end-to-end machine learning and statistical models that solve high-stakes business problems — from framing the question to deploying the solution * Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions * Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders — making the technical accessible without dumbing it down * Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines * Defining the analytical approach for client engagements — selecting the right methods, tools, and frameworks for the problem at hand, not just the ones you're most comfortable with * Contributing to new business proposals — helping articulate Artefact's technical capabilities and translating data science into clear client value * Developing thought leadership and internal methodologies — publishing research, building reusable frameworks, and raising the technical bar across the practice * Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth What We Are Looking For We want someone who is as comfortable whiteboarding a modeling strategy with a client's Chief Analytics Officer as they are debugging a pipeline at 11pm before a big delivery. You've shipped models that people actually use. You've sat in rooms where the business stakes were real, and you've delivered. You know the difference between a technically elegant solution and a practically useful one — and you always choose useful. You'll arrive ready with the following: * 4–7 years of hands-on experience in data science, machine learning, or advanced analytics — with a demonstrable track record of end-to-end model delivery in a client-facing or high-stakes business environment * Advanced degree (MSc or PhD) in a quantitative field — statistics, mathematics, computer science, engineering, or equivalent; strong undergraduate candidates with exceptional experience will be considered * Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code * Deep expertise in machine learning and statistical modeling — regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning, depending on your specialization * Strong command of SQL and experience working with large-scale datasets across cloud platforms (GCP, AWS, or Azure) * Experience with MLOps practices — model versioning, monitoring, deployment pipelines, and productionization — is a significant differentiator * Exceptional communication skills — you can explain a gradient boosting model to a CFO and a business case to an ML engineer, and both conversations land * Demonstrated ability to lead technical workstreams and mentor junior team members * Consulting or client-facing experience is highly desirable; the ability to manage ambiguity, scope problems, and deliver under pressure is essential * Exposure to marketing analytics, customer analytics, or demand forecasting in a consumer-facing industry is a meaningful asset Why You Should Join Us At this level, you're not just looking for a job — you're looking for the right environment to do your best work. Here's what makes Artefact different: Variety that keeps you sharp. In a product role, you go deep on one problem. Here, you'll work across industries, business functions, and problem types — building the kind of range that makes exceptional data scientists exceptional. No two engagements are the same. Your work actually ships. We have a relentless focus on adoption and impact. The models you build are designed from day one to live in production, influence decisions, and create measurable value — not to gather dust in a final report. A global technical community. With 2,000 data and AI specialists across 36 offices, you'll have access to some of the most sophisticated data science thinking in the world. You'll contribute to — and benefit from — a community of practitioners working on the frontier. Founding team energy. We're building our US practice, which means the norms, standards, and culture you help create now will define Artefact in North America for years to come. That's a rare opportunity at any stage of a career. We are united by our values and strengthened by our hybrid expertise: * There is always a way — We're builders, diggers, and makers. Ideas only count if they get executed. * Client trust is won in the field — We show up where it matters, working side by side with our clients to solve what's real. * If not used, it is useless — We build for adoption and impact. True brilliance is measured by what changes, not what's delivered. * If not shared, our work is not done — Sharing knowledge is how we close the loop — for our clients and for each other. * We learn every day — In a field moving at the speed of light, intellectual curiosity isn't optional. It's survival. our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2,000 employees across 26 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com. What You'll Be Doing As a Junior Data Consultant, you'll sit at the intersection of business strategy and data — helping clients make smarter decisions, faster. You'll work directly with clients to understand their challenges, dig into their data, uncover insights that change how they operate, and communicate those findings in ways that drive action. This is not a back-office analytics role. You'll be client-facing, intellectually challenged, and given real responsibility from day one. Our best junior consultants don't stay junior for long. Day-to-day responsibilities include: * Collecting, cleaning, and organizing data from diverse sources — databases, spreadsheets, APIs, and web-based tools * Preparing and structuring data for analysis, including quality checks, error correction, and formatting for statistical software * Analyzing data using tools such as Excel, SQL, Python, or R to surface trends, patterns, and actionable insights * Translating complex data findings into clear, compelling narratives for both technical and non-technical audiences * Partnering with clients to deeply understand their business objectives and co-developing data-driven strategies to meet them * Staying sharp: actively investing in your own professional development as the data and AI landscape evolves rapidly What we are looking for We want builders, thinkers, and fast learners — people who are energized by ambiguity, motivated by impact, and who can hold their own in a room with a senior client. You're the kind of person who asks "why?" before jumping to "how," and you never stop at "good enough." * An undergraduate degree with strong academic performance * 1–2 years of full-time experience in consulting, data/analytics, marketing, finance, or tech * Outstanding verbal and written communication skills — you can represent Artefact confidently in front of clients * Proven ability to collaborate across diverse, multicultural teams; strong intercultural communication skills are essential * Advanced proficiency in Excel and PowerPoint * A genuine passion for data, digital, and the broader tech economy * A natural desire to teach and develop others; you lift the people around you * Exposure to strategy consulting and/or digital marketing is a strong asset, but not a dealbreaker Why Join Artefact? We're not just a workplace — we're a community of people who believe that data, applied well, can change how businesses operate and how the world works. We move fast, we challenge each other, and we celebrate people who make things happen. Our values aren't decorations on a wall — they're how we actually work: * There is always a way — We're builders and problem-solvers. An idea only counts if it gets executed. * Client trust is won in the field — We show up, sleeves rolled up, working side by side with our clients. * If it's not used, it's useless — We build for adoption and impact, not for slide decks. * If it's not shared, we're not done — Knowledge shared compounds. We invest in each other's growth. * We learn every day — In a field that moves this fast, standing still means falling behind. We embrace the challenge. Compensation & Benefits The estimated base compensation for this role is $125,000 - $135,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for competitive benefits.
Senior Consultant/Analyst Data Science & Marketing Effectiveness - 2026 Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. Your responsibilities As a Senior Analyst specialising in Data Science & Marketing Effectiveness, you will lead the delivery of high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will manage small teams, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients. Lead Projects · Lead end-to-end MMM and marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. · Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data · Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. · Build dashboards and visualisation tools to communicate actionable insights using proprietary Ekimetrics frameworks and best practices. · Translate complex analytics into clear, business-oriented recommendations for senior stakeholders and C-suite clients. · Support clients in optimising marketing spend, understanding campaign performance, improving customer segmentation, and maximising ROI. Client & Account Management · Serve as the day-to-day operational contact for clients, building trustful relationships and proactively identifying growth opportunities. · Present findings, recommendations, and actionable insights in client-facing workshops and executive presentations. · Collaborate closely with managers and partners to develop proposals for new or expanded work, aligned with Ekimetrics’ commercial offerings. People & Project Leadership · Lead teams of 3–10 colleagues across multiple projects, ensuring high-quality delivery, client satisfaction, and profitability. · Mentor and develop junior team members, strengthening technical, analytical, and client-facing competencies. · Share best practices and contribute to internal knowledge management initiatives. Practice & Business Growth · Identify opportunities for account growth and contribute to development with existing and prospective clients · Act as an ambassador of Eki culture by supporting transversal initiatives (e.g., Thought Leadership, Knowledge Management, Recruitment and Innovation. · Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure Your profile Experience & Technical Skills · Strong 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science · Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. · Strong proficiency in Python, R, SQL, or similar tools. · Experience with Databricks, Azure, or other cloud/data platforms is a plus. · Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. · Experience translating data and model outputs into actionable business recommendations. · Comfortable handling large datasets, optimizing data pipelines, and delivering high-quality outputs Leadership & Client-Facing Skills · Excellent communication and storytelling skills for senior stakeholders · Demonstrated ability to lead multiple project teams and manage priorities with autonomy · Strong strategic thinking, problem-solving mindset, and drive for continuous improvement · Supportive team player with a passion for talent development, coaching, and enabling team growth · Ability to contribute to impactful thought leadership and forward-thinking perspectives on measurement and marketing effectiveness. Why join us? At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries while thriving in a collaborative environment. We believe in enjoying what we do and fostering a safe, inclusive space where you can bring your authentic self. In 2023, Ekimetrics obtained “mission-driven company” status, reflecting our commitment to CSR. Our purpose: Accelerate organisations’ transformation towards sustainability through data science and AI. We are proud to have been certified Great Place to Work© in France, the UK, and the US, with our Hong Kong office recognised as Best Companies to Work for in Asia 2023©. Ekimetrics is also part of the French Tech 120, selected among the top French scale-ups with potential for international leadership. Career development and growth opportunities · Lead projects and develop advanced analytical and client-facing skills. · Structured career progression from Senior Analyst, Manager, Senior Manager and beyond. · Access to Eki.Academy, including solution-specific training, Climate School courses, and career development programs. · Exposure to international clients, multiple industries, and high-impact projects. You will have access to : · Salary £60,000-£75,000 + Bonus 10% + Corporate bonus · Regular events and seminars to connect with colleagues · Modern office space in a central London location · Flexible hybrid working policy (2 days a week in office + 20 days’ work from anywhere, remotely) · 25 days annual leave + bank holidays, plus an additional 3 days for tenure · Private healthcare, life insurance, and wellbeing support · Group pension scheme · Opportunities for international mobility and career development As an employer, Ekimetrics offers equal employment opportunities to all, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ekimetrics strives to develop an inclusive work environment that reflects diversity within its teams.