Data Associate

Want to join a growing team?

The role of Data Associate offers the right individual an opportunity for rapid personal growth whilst delivering insights and value to our clients. 

LOCATION

Remote

EMPLOYMENY TYPE

Permanent

Purpose

DataDiligence is a boutique consultancy providing data due diligence & data delivery services into private equity, M&A and corporates. ​

We provide data validation, valuation & value creation across the investment cycle, resulting in: 

  • better investment decision making 

  • true insight & trends analysis 

  • identification of break-out opportunities 

  • improved returns 

At DataDiligence, we believe that data, as an ecosystem, represents intrinsic value and competitive advantage.  But data is rarely validated or valued with the same rigour as other key commercial assets.   

 

We aim to change this. 

Who You are

As a data associate, you'll need to: 

  • work closely with clients and colleagues to identify client issues and use data to propose solutions for effective decision making, automation, augmentation, etc. 

  • build and/or assess algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation 

  • use machine learning tools and statistical techniques to solve business problems 

  • test data science, machine learning, and analytical methods and models to select the most appropriate ones for use on a project 

  • maintain clear and coherent communication, both verbal and written, to understand data needs and report results 

  • create clear, well-structured reports and proposals that articulate compelling stories about how clients work with data, using DataDiligence’s frameworks  

  • assess the effectiveness of data sources and data-gathering techniques and recommend improved data collection methods 

  • horizon scan to stay up to date with the latest technology, techniques and methods 

  • conduct research from which you'll recommend proof of concepts, mvp, v1.0, etc for client use/advise 

  • look for opportunities to use insights/datasets/code/models across DataDiligence to continuously improve our business (for example in the HR and marketing departments) 

  • stay insanely curious and enthusiastic about using algorithms to solve business problems and enthuse others to see the benefit of your work. 

  • identify, document and communicate insights, some of which will also be used to create and maintain marketing plans and collateral - including web updates, social media campaigns, industry events, etc. 

 

As you grow with DataDiligence, you will also need to: 

  • recruit, train and lead a team of data associates 

  • contribute to the organisation's overall strategy 

  • establish new systems and processes and look for opportunities to improve the flow of data within DataDiligence 

  • evaluate new and emerging technologies 

  • represent the company at external events and conferences 

  • build and develop relationships with clients. 

The Skills you have

You'll need to have: 

  • excellent analytical and problem-solving skills 

  • outstanding 'client hands' and relationship building skills, having likely spent time in a consulting role

  • excellent (generalist) data skills – data understanding, data processing, model building, evaluation, and deployment, data infrastructure, data operations, ML operations 

  • hands-on experience with delivering data projects – as a data analyst, data scientists, data engineer, ML engineer, analytical engineer or similar 

  • exceptional communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis 

  • effective listening skills in order to understand client requirements and business problems 

  • drive and the resilience to try new ideas if the first one doesn't work - you'll be expected to work with minimal supervision, so it's important that you're able to motivate yourself 

  • planning, time management and organisational skills 

  • the ability to multitask, deliver under pressure and to tight deadlines 

  • great attention to detail 

  • team working skills and a collaborative approach to sharing ideas and finding solutions. 

What to Expect

DataDiligence and data science more broadly is highly collaborative.  We love to share ideas, insights & methodologies.  You will be expected to share concepts and solutions with the team. 

 

Data science embraces ambiguity, iteration, and continuous improvement.  As a small business, we work on the same principles. 

 

Our clients are often businesses of size but, don’t necessarily have advanced data capacity in-house. So we frequently play a role of educating people and teams to the benefits of big data and analytics, plus proactively transfer skills – thus working ourselves out of clients. 

Qualifications you'll Need

You'll likely have a degree in a computer science, mathematical or science-based subject. The following degree subjects are particularly interesting to us:  

  • computer science 

  • data science/computer and data science 

  • engineering 

  • mathematics 

  • mathematics and operational research 

  • physics 

  • statistics. 

We expect you to have a hands-on experience with data analytics, data science, data engineering, machine learning or similar. 

Alternatively, you have a postgraduate qualification in Business and have hands-on experience with data science likely derived while in a management consulting role.

Consulting experience is highly valued.

A postgraduate qualification, such as a Masters or PhD, is useful. 

We will also consider candidates with business qualifications who can prove a passion and portfolio of evidence supporting their data science skills.