Data Scientist - Commercial Analytics

iwoca

DATA SCIENTIST - PARTNER FLOW Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Partner Flow team You'll own experimentation and analytics for iwoca's partner channel – fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner-referred customers that receive an offer. The team works across the full application stack – from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross-functional, combining data science, engineering, design, and product. Active projects include: * Pre-qualification – testing how showing customers an offer before they apply affects conversion and long-term value * Credit card strategy – iwoca recently launched a credit card alongside its flexi-loan; the team is working out which product, or combination, to offer which customers * Funnel optimisation – identifying and reducing the biggest points of friction across the partner journey The role You'll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped - you'll influence how it develops, not just what it produces. The work has direct commercial consequences – on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business. * Experimentation and causal inference. You'll design and analyse experiments where careful randomisation and interpretation are critical. You'll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre-qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base. * Funnel and competitive strategy. You'll analyse the full partner-referred customer journey – from application through to credit assessment – identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you'll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour. * Commercial translation. You'll be directly involved when decisions get made – not handing off analysis to be interpreted by someone else. You'll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work. * AI and ways of working. You'll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You'll be expected to have a view on where it helps and where it doesn't. The requirements Essential: * Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. * Causal inference. Experience separating signal from noise in observational and experimental data. * Business translation. Ability to understand commercial context and translate data into actionable insights that guide decisions - not just produce analysis, but land it with people who act on it. * Data tooling. Proficiency with data manipulation and modelling tools. * Analytical ownership. Comfortable owning ambiguous problems end-to-end - from framing through modelling to influencing decisions. * AI fluency. Experience with and a passion for using AI to accelerate and automate analysis and model building. * Communication. You write and speak clearly, adapting technical detail to different audiences. Bonus: * Modelling depth. Experience building or adapting statistical or ML models, with an interest in understanding what's happening underneath. * Stochastic methods. Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty. * Funnel and marketplace experience. Experience with conversion funnel analysis or marketplace dynamics where you're competing for attention alongside competitors. * Python. You work primarily in Python. If your background is R or another language, that's fine - but Python is what the team uses day to day. * Market curiosity. You want to understand how the partner lending market actually works - what makes a partner choose iwoca over a competitor, and what makes a customer convert. The salary We expect to pay from £70,000 – £100,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: * Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. * Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits * Flexible working hours. * Medical insurance from Vitality, including discounted gym membership. * A private GP service (separate from Vitality) for you, your partner, and your dependents. * 25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. * A one-month, fully paid sabbatical after four years. * Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. * 3% Pension contributions on total earnings. * An employee equity incentive scheme. * Generous parental leave and a nursery tax benefit scheme to help you save money. * Electric car scheme and cycle to work scheme. * Two company retreats a year: we’ve been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: * A learning and development budget for everyone. * Company-wide talks with internal and external speakers. * Access to learning platforms like Treehouse. Useful links: * iwoca benefits & policies * Interview welcome pack

Ekimetrics

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.

XYZ Reality

Job title: Data Scientist – Construction Tech Location: London, UK (Hybrid – in-office 3 days per week) ABOUT XYZ REALITY ────────────────────────────── XYZ Reality are the creators of the world's first and only engineering-grade Augmented Reality solution, purpose built for the construction industry. Not only have we created this holographic technology, that sits within The Atom — a smart, site-safe headset/hardhat — but we implement it on projects, utilising the power of AR to ensure that all schemes are completed in line with delivery timescales and budgets. XYZ has grown to over 100 staff across the UK, US & Europe and is working with Mission Critical organisations & construction companies to successfully deliver major projects. THE ROLE ────────────────────────────── If you're buried in construction data or project controls, producing reports that rarely leave the business — this is your chance to do something bigger. At XYZ Reality, we're looking for a Construction Data Scientist who can turn project delivery data into commercial power. You'll work with data from some of the most complex hyperscale and mission-critical construction projects in the world — uncovering trends and risk signals, and packaging them into insights that drive ABM campaigns, sales conversations, and market positioning. This is a pivotal role sitting at the intersection of delivery, revenue, and go-to-market. Your analysis won't sit in dashboards — it will shape how XYZ positions itself as the trusted intelligence layer for global construction. You'll need real construction domain knowledge, strong data skills, and the storytelling ability to make numbers move people. KEY RESPONSIBILITIES ────────────────────────────── • Query, extract, clean, and structure data from internal delivery systems using SQL and Python — running trend, variance, and comparative analysis across projects, packages, regions, and contractor delivery models to surface meaningful performance signals. • Analyse delivery metrics at individual, portfolio, and global scale — including schedule performance, productivity trends, cost and risk signals, and change or rework patterns — going beyond what happened to explain why projects perform differently. • Work directly with project managers, engineers, and delivery leads to translate on-the-ground activity into analysable data — asking the right questions, digging into anomalies, and building trust with operational teams by respecting site reality. • Package insights into clear, compelling narratives for ABM campaigns, sales enablement materials, case studies, and executive and client-facing content — positioning XYZ as the trusted insights partner for hyperscale and mission-critical construction. • Build repeatable analysis frameworks and scripts that enable continuous insight generation — moving from one-off reports to a scalable insight engine that keeps pace with a rapidly growing global project portfolio. • Collaborate with Marketing, Sales, and GTM teams to refine insight outputs based on campaign performance and commercial feedback — owning the insight narrative for the business and helping shape market positioning. REQUIRED QUALIFICATIONS ────────────────────────────── • Professional background in construction, engineering, infrastructure, or project delivery — with hands-on understanding of how projects actually run on site. Construction domain knowledge is non-negotiable; you need to speak credibly with delivery teams and understand their data. • Strong SQL skills (required) and ability to write scripts in Python, R, or similar — plus advanced spreadsheet skills (Excel / Google Sheets) and comfort working with messy, real-world datasets that lack perfect schemas or documentation. • Statistical and analytical thinking — able to identify trends, correlations, and outliers across time, geography, and project types, with a focus on interpretation and commercial implications, not just outputs. • Proven ability to translate complex findings into simple, business-relevant language and turn analysis into stories that support decision-making and revenue. Experience supporting commercial, marketing, or GTM functions is a strong advantage. KEY EXPERIENCE & SKILLS ────────────────────────────── • Construction domain knowledge — project delivery, packages & site reality • SQL (required) & Python / R scripting for data extraction & analysis • Delivery performance analytics — schedule, productivity, cost & risk • Data storytelling — turning insight into ABM, sales & exec narratives • Cross-functional collaboration — delivery, revenue & GTM teams • Repeatable frameworks — scalable insight engines, not one-off reports BENEFITS ────────────────────────────── 🏝️ 25 days annual leave + public holidays 🩺 Private healthcare with Vitality 🎄 Christmas shutdown days on top of leave allowance (2–4 per year usually) 🚇 Office located within a 5-minute walk from Angel station 🏠 Hybrid working 🪙 Biannual salary reviews 🥳 Summer & Christmas staff parties 🍣 Free lunch bought in and after-work gathering/drinks every Thursday in the office 💰 Employee referral scheme 🚲 Cycle to Work scheme 🚀 Make a real-world impact of revolutionising the construction industry