Data Scientist

IK Partners
London
4 months ago
Applications closed

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Data Scientist

Data Scientist

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Data Scientist

Data Scientist

Data Scientist/Machine Learning Engineer - RNA Design

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.

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