At a Glance
- Tasks: Run analytics and maintain ML models for a high-profile tech organisation.
- Company: Join a leading technology firm with a focus on innovation.
- Benefits: Competitive daily rate, flexible work environment, and hands-on experience.
- Other info: Exciting opportunity for career growth in a dynamic, fast-paced environment.
- Why this job: Take ownership of critical analytics and make an impact across international markets.
- Qualifications: 5+ years in Data Science, strong SQL and Python skills required.
The predicted salary is between 60750 - 74250 £ per year.
Senior Data Scientist - Contract Rate: £485 per day IR35: Inside IR35Duration: 6 Months
We are looking for an experienced, hands-on Senior Data Scientist to join a high-profile technology organisation on an initial 6-month contract.
This is a high-autonomy role focused on running existing business-as-usual analytics and data science across international markets, with responsibility for revenue visibility, regulatory reporting, data quality and maintaining a suite of production ML models.
The successful candidate will be comfortable taking ownership of existing processes and systems, working independently and delivering against tight deadlines with minimal hands‑on support.
Key Responsibilities
- Analytics
- Monitor revenue performance across international markets and investigate anomalies, providing early visibility of revenue movements.
- Support partner monitoring and escalations, including offer setup, recommender administration, click-report issues and partner ranking changes.
- Monitor email campaign performance, investigating anomalies, send failures, re‑targeting opportunities and churn drivers.
- Support experimentation and A/B testing, including experiment monitoring, analysis and promotion decisions.
- Maintain data quality by investigating pipeline failures, tracking gaps and partner feed issues.
- Support data requests, customer/member queries and regulatory reporting, including DSAR/RTBF requests, complaint data and FCA regulatory returns.
- Monitor marketplace rankings and provide analytics support against tight, sometimes same-day deadlines.
- Represent analytics in business reviews and stakeholder meetings, translating technical findings into clear business recommendations.
- Data Science
- Maintain and support an existing suite of production ML models, including scheduled refreshes, retraining and redeployment.
- Monitor model performance and drift, identifying and escalating issues where models require attention.
- Maintain data quality across model inputs and pipelines, troubleshooting feed and pipeline issues.
- Support partner ranking changes and credit-model compliance requirements.
- Ensure models, pipelines and reporting are fully documented and handed over to the permanent team at the end of the engagement.
Essential Skills & Experience
- 5+ years' experience across Data Science and Analytics, including experience running production models and BAU analytics.
- Strong experience taking ownership of existing BAU processes and delivering with minimal supervision.
- Strong SQL and Python or R skills.
- Comfortable working with existing codebases, data pipelines and production environments.
- Hands-on experience maintaining production ML models, including refreshing, retraining, monitoring and troubleshooting models.
- Strong understanding of model performance monitoring, model drift and data quality.
- Excellent written and verbal communication skills.
- Degree or advanced qualification in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics or a similar subject, or equivalent professional experience.
- Background within technology, financial services or a data-driven organisation.
Desirable Experience
- Experience using AI tools such as Claude Code, Open AI or similar to automate day-to-day workflows.
- Understanding of agentic AI workflows.
- Previous contract or consulting experience delivering BAU projects against fixed deadlines.
- Experience working cross-functionally with Product, Marketing, Business Development, Compliance, Engineering and Customer/Member Support teams.
- Experience working within regulated environments and supporting regulatory reporting.
The Opportunity
This is an excellent opportunity for a Senior Data Scientist who enjoys hands‑on ownership rather than purely project-based data science.
You will take responsibility for keeping critical analytics, reporting and production models running across an international business while working closely with senior stakeholders.
6-month contract | £485 per day | Inside IR35 *Rates depend on experience and client requirements
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Data Scientist – Inside IR35 in London employer: Salt Digital Recruitment
Join a forward-thinking Digital Banking team that values innovation and quality, where your expertise as a Quality Assurance Test Engineer will directly impact the delivery of cutting-edge insurance products. With a collaborative work culture that encourages professional growth and the use of advanced AI tools, you'll thrive in an environment that prioritises excellence and continuous improvement. Located in a vibrant area, this role offers unique opportunities to engage with a diverse range of projects while contributing to the success of a company dedicated to enhancing customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist – Inside IR35 in London
✨Get Involved in Data Science Meetups
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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 Salt Digital Recruitment.
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We think you need these skills to ace Data Scientist – Inside IR35 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 Salt Digital Recruitment, 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 Salt Digital Recruitment. 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 Salt Digital Recruitment
✨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 Salt Digital Recruitment!
✨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.
