At a Glance
- Tasks: Shape the future of ESG investing using machine learning and data science.
- 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 growth and learning.
- Why this job: Make a real impact in sustainable investing while advancing your career.
- Qualifications: 3 years Python experience and a strong STEM degree required.
The predicted salary is between 75000 - 75000 £ per year.
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 an experienced Machine Learning Data Scientist who is motivated by the opportunity to have a meaningful role in shaping the company's future.
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 £75,000 or higher, 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):
- 3 years' post‑graduation Python programming
- A STEM degree (upper‑second or first class) from a well‑regarded University and data engineering experience
- Pandas and scipy
- Data storage technologies and SQL
Machine Learning Data Scientist employer: Integrum ESG
Integrum ESG is an exceptional employer that champions a culture of innovation and inclusivity, making it an ideal place for a Machine Learning Data Scientist to thrive. With a competitive salary, flexible working hours, and a hybrid work environment in the heart of central London, employees benefit from a supportive atmosphere that encourages professional growth and collaboration with experienced leaders. Join us in shaping the future of responsible investing while advancing your career in a meaningful and impactful way.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Integrum ESG!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Data Scientist at Integrum ESG.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Integrum ESG.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Data Scientist at Integrum ESG, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Integrum ESG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Integrum ESG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Integrum ESG
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Integrum ESG!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
