Data Scientist

IK Partners
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Production

Data Scientist/Machine Learning Engineer - RNA Design

Data Scientist - active NPPV3 required

IK Partners (“IK”) is a Pan-European private equity firm focused on investments in the Benelux, DACH, France, Nordics and the UK. Since 1989, IK has raised more than €17 billion of capital and invested in over 195 European companies. IK supports companies with strong underlying potential, partnering with management teams and investors to create robust, well-positioned businesses with excellent long-term prospects.

We are seeking a highly skilled and experienced Data Analyst/Scientist to join our Operations team in London. The ideal candidate will be responsible for leveraging data analytics to drive insights, optimisation, and which is key for decision-making across IK’s investment portfolio.

Role and Responsibilities:

Develop and implement data analytic strategies to help drive investment decision-making, portfolio reporting, performance tracking and improvements.

Identify key trends and patterns in data to uncover actionable insights that inform portfolio strategies and drive value creation.

Typical (but not limited to) examples of analytical assignments:

Deconstruct a company’s topline in a detailed but understandable way to identify the impact of volume, mix and price effects, which allow for better optimisation of cost pass through to customers.

Analyse a database to assist in structuring a Go-To-Market strategy.

Develop a purchasing spend cube to provide full transparency on external procurement costs, to support optimisation efforts.

Create sales and pricing dashboards as a critical tool for driving a sales excellence program.

Collaborate with the IK Operations team, Deal teams and Portfolio Companies to identify opportunities for data-driven decision-making and optimisation.

Work with applicable tools and techniques to visualise data and insights in an easy understandable format.

Support Portfolio Companies with development of their monthly management / Board Reporting.

Continue to enhance and manage internal IK performance dashboards, ensuring the data is live, accurate, and readily available for use for meetings, presentations etc.

Qualifications / Experience:

Degree in Computer Science, Statistics, Mathematics or related field.

3+ years of experience in data analytics and preferably have some experience in Finance or business controlling. More experienced profiles also welcome

Experience with data visualization tools such as Power BI, Tableau, or equivalent.

Knowledge of financial modelling and analysis. Need to master all the steps of an analytical assignment: assess available data, define data to extract, check, clean data, define and conduct analysis, identify and formalise key insights.

Experience working with large datasets and databases

Strong problem-solving and critical thinking skills.

Excellent communication skills, both written and verbal with the ability to present complex concepts in a clear manner.

Possess strong business acumen to deliver relevant analyses and generate clear insights and recommendations that can be presented to the IK Operations and Management Teams.

Ability to effectively collaborate with cross-functional teams.

Ability to work independently and manage multiple projects simultaneously.

Strong experience with Microsoft applications (Word, Excel, Powerpoint, …)

Knowledge of Private Equity operations would be preferable.

Our Offering

Dynamic and supportive working environment with on-the-job training provided.

Insight into the workings of a leading European private equity firm.

Opportunity to work with a broad range of colleagues from various geographies in a diverse and inclusive workplace culture.

The Package

Salary - Depending on Experience.

Benefits include 25 days holidays, gym membership, healthcare, private GP, pension, life and income protection insurance, green mobility and free lunches.

The job will be open until the 3rd February 2025. We will review the applications regularly.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.