At a Glance
- Tasks: Lead data projects tackling financial crime and fraud while analysing large datasets.
- Company: A growing consultancy in the financial services sector with a collaborative culture.
- Benefits: Competitive salary, bonuses, hybrid work model, and ongoing training opportunities.
- Other info: Join a high-performing team with clear progression opportunities and diverse projects.
- Why this job: Make a real impact in financial services while developing your data science skills.
- Qualifications: Strong background in data science and experience in financial services or fraud domains.
The predicted salary is between 95000 - 120000 £ per year.
Salary: £95,000 - 120,000 per year
Requirements
- Strong background in data, analytics, or data science
- Experience working within financial services, risk, or fraud-related domains
- Ability to work with stakeholders and communicate insights effectively
- Experience working with modern data tools and technologies
Responsibilities
- Lead data-focused projects across financial crime and fraud
- Analyse large datasets to identify trends, risks, and opportunities
- Support the design and improvement of monitoring and detection processes
- Work closely with business and technical stakeholders to deliver solutions
- Translate data insights into clear, actionable recommendations
- Support junior team members and contribute to overall project delivery
- Contribute to broader initiatives across our business where relevant
Technologies
This Head of Data Science role is based in London with a hybrid working model of 2–3 days per week in the office. It offers a competitive salary of £95,000–£120,000 plus bonus and benefits, along with ongoing training and development, clear progression opportunities, and exposure to a variety of projects and clients. You will join a high-performing, collaborative team and play an important role in expanding our data offering, combining hands‑on data science work with strategic and advisory input while helping clients address complex financial crime and fraud challenges.
Head of Data Science in London employer: Sivara GmbH
As a leading specialist consultancy in the financial services sector, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our London-based Head of Data Science role offers a competitive salary, hybrid working model, and the opportunity to engage with diverse projects while collaborating with a high-performing team dedicated to tackling complex challenges in financial crime and fraud. Join us to not only advance your career but also make a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science 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 Sivara GmbH!
✨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 Head of Data Science at Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Science at Sivara GmbH, 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 Head of Data Science 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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
