At a Glance
- Tasks: Drive development of analytics capabilities using AI and ML techniques.
- Company: Savantiq, an innovative tech startup revolutionising deal-making with AI.
- Benefits: Competitive salary, potential equity, and flexible remote work options.
- Other info: Collaborate directly with founders and gain high visibility in your role.
- Why this job: Join a dynamic team and shape cutting-edge tools in finance.
- Qualifications: 2-4 years experience in ML/AI, strong Python skills, and team player.
The predicted salary is between 36000 - 60000 £ per year.
Savantiq is an ambitious early stage technology company revolutionising how M&A, PE, and VC deal-making is done, giving deal teams a competitive edge powered by AI and a modern tech stack.
The company was founded in 2022 by Heini Salonen (CEO) and Matthew Jones (CTO) who have extensive experience in private finance investments and technical roles in the top firms in London and New York (Goldman Sachs, BlackRock). The company is backed by venture capital firms Vendep Capital and Crowberry Capital, as well angel investor Kristo Ovaska (co-founder of Smartly.io).
RoleHaving built up a strong team in Helsinki, we are expanding the team in London. We are looking for an AI analytics engineer / data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with the autonomy to choose the right tools and approaches to solve each problem.
The successful candidate will be highly driven and motivated to join an early stage startup, thrive on taking ownership over developing cutting edge features within the platform, and bring their strong technical knowledge to make an impact across the whole company.
We believe we are a market leader in this space and are seeking the right candidate, with c. 2-4 years of experience, to strengthen our position even further. The role is in person in London.
SkillsCore
- Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised / unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems.
- Strong software development experience in Python, with understanding of object-oriented and functional programming paradigms.
- Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS.
- Relentless drive and energy required to work in an early stage startup
- Team player and strong communication skills
Beneficial
- Familiarity with MLOps practices for continuous deployment and monitoring of models.
- Basic knowledge of React, and/or ability and willingness to learn to work full-stack as needed.
- Experience of M&A / Finance use cases for machine learning.
- Competitive compensation package (with potential equity component)
- A pivotal role in shaping the company\'s analytics products and the culture of our new London office.
- Direct collaboration with a founder, giving you high visibility and influence.
- In office work preferred but flexibility to work remotely approx. 1 day a week.
- Work with a highly experienced and international team - the business team of 5 has a combined 30+ years of experience in top finance firms in London and New York; software development team of 4 have a combined 25+ years of experience
We’re excited to not only learn more about your skills and experience but also to hear about your growth aspirations, career goals, and what drives you. We encourage applicants from all backgrounds to apply - even if you don’t meet 100% of the requirements.
Contactmatthew@savantiq.ai
Machine Learning Engineer – Analytics in London employer: Savantiq
Savantiq is an innovative early-stage technology company based in London, dedicated to transforming M&A, PE, and VC deal-making through cutting-edge AI solutions. As a Machine Learning Engineer, you'll enjoy a competitive compensation package, the opportunity to work closely with experienced founders, and the chance to shape the analytics culture in our new office. With a strong emphasis on employee growth and a collaborative work environment, Savantiq offers a unique platform for you to make a significant impact while developing your career in a dynamic startup setting.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer – Analytics in London
✨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 Savantiq!
✨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 Engineer – Analytics at Savantiq.
✨Leverage Professional Networks
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 Savantiq.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer – Analytics at Savantiq, 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 Engineer – Analytics in London
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 Savantiq, 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 Savantiq. 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 Savantiq
✨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 Savantiq!
✨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.
