At a Glance
- Tasks: Develop machine learning models and data pipelines to enhance ESG insights.
- Company: Join a forward-thinking company making capitalism more responsible.
- Benefits: Competitive salary, flexible hours, 25 days holiday, and gym membership.
- Other info: Hybrid work environment with opportunities for rapid career growth.
- Why this job: Shape the future of sustainable investing while learning from industry leaders.
- Qualifications: STEM degree, Python programming, and data engineering experience required.
Integrum ESG's purpose is to make professional investors aware of how the companies in which they invest are managing ESG (Environmental, Social and Governance) issues. We do this by offering investors a subscription to our online SaaS Platform, which provides them with ESG data, insights and ratings on over 60,000 companies and 250,000 funds. Integrum ESG uses publicly available sources, from which ESG data is surfaced and scored by our proprietary machine‑learning and NLP models, and reviewed by our research team. We provide bespoke investment analysis to aid with the construction of sustainability‑focused funds, and we support our clients in their fulfilment of regulatory requirements and in understanding their ESG risks. We want to be part of the movement that is making capitalism more inclusive, and more responsible.
The Opportunity: Following the successful completion of a VC‑led Series A funding round, we are seeking a graduate Associate Machine Learning and Data Engineer who is motivated by the opportunity to have a meaningful role in shaping the company's future.
Important to note: At Integrum ESG, we make a distinction between a Machine Learning Data Engineer and a Machine Learning Data Scientist. This engineer role has a high technical content and is focused on programming, and Python should be one of your primary skills if you are to succeed in your application.
What This Role Offers You: The chance to work in a fascinating and expanding area that is taking ESG into mainstream investing, making capitalism more inclusive, and more responsible. You will report directly to the CTO - a vastly experienced individual from whom you will learn a great deal - as such there is opportunity to gain experience in cutting‑edge NLP, advanced statistics and automated data flows while getting exposure to an important business area. You will work closely with the CEO and CTO on continually improving the product, and you will have a direct impact on the product technical design and work in an autonomous, creative environment. This exceptional opportunity will super‑charge your career, and you should expect to progress as the company and the team expand. The package on offer includes a competitive salary of £35,000 or higher (based on experience), flexible working hours, 25 days’ holiday and gym membership. The working environment is hybrid - with up to 2 days per week work from home, with the remaining days spent in our offices in central London.
What we need to see from you (Essential Skills & Experience):
- A STEM degree (upper‑second or first class) from a well‑regarded University and data engineering experience
- Python programming
- Pandas and scipy
- Data storage technologies and SQL
- Web technologies for fetching data
- Cloud deployment of industrial strength data code
- Testing strategies for all of the above
- Building training and inference pipelines
What we would love to see from you (Desired Skills & Experience):
- NLP frameworks, such as Spacy, NLTK, Bert
- NoSQL databases
What we expect of the entire Integrum ESG team:
- A high IQ with a thirst for knowledge
- An innate sense of accountability and an obsession with product quality
- A critical eye on development processes and a drive to improve them
- An interest and pride in being part of an ESG business
- An understanding of what the product means to the user so they can engineer for that
How to Apply: The first step is to please submit your CV to tim.murnaghan@integrumesg.com, together with a brief cover note that explains what you are doing now, why you would like to work at Integrum ESG and when you could start the role.
The Recruitment Process: Should your initial application be successful, the process will be as follows:
- Background / Introductory video call interview with the CTO
- Technical Test
- Technical interview with the CTO and the ML Lead
- One-to-one interview with the founder
You will also meet all other members of our tight‑knit small team and be asked to sit a straightforward 40‑minute multiple choice IQ test (verbal and non‑verbal reasoning questions that one cannot revise for). We appreciate there are more steps than many smaller firms require, we want to be sure you will be an excellent fit within our tight‑knit team, and we are able to move through these steps in a short overall timeframe. Please note we are not currently working with external recruiters for this position. All candidates must apply directly and third‑party CVs will not be accepted.
Associate Machine Learning and Data Engineer employer: Integrum ESG
Integrum ESG is an exceptional employer that champions a culture of innovation and accountability, providing employees with the unique opportunity to contribute to the future of responsible investing. With a competitive salary, flexible working hours, and a hybrid work environment in central London, you will thrive in a supportive atmosphere that prioritises professional growth and collaboration with experienced leaders. Join us to make a meaningful impact in the ESG space while advancing your career in a dynamic and expanding field.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Machine Learning and Data Engineer
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Integrum ESG when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Integrum ESG.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Integrum ESG.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Integrum ESG’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Associate Machine Learning and Data Engineer
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Integrum ESG, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Integrum ESG aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Integrum ESG
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
