At a Glance
- Tasks: Lead innovative data science projects and mentor a dynamic team.
- Company: Join Capco, a leader in digital transformation for financial services.
- Benefits: Enjoy competitive pay, flexible holidays, and extensive training opportunities.
- Other info: Inclusive culture with a focus on personal and professional growth.
- Why this job: Shape the future of finance with cutting-edge AI and data solutions.
- Qualifications: Experience in Python, machine learning, and cloud environments required.
The predicted salary is between 63000 - 77000 £ per year.
Senior Data Scientist
Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Drive data innovation.
The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice.
You will play a leading role in designing and implementing cutting-edge data science solutions across financial services.
This is an opportunity to build intelligent systems that drive commercial and customer outcomes while mentoring others and collaborating in a dynamic, multi-disciplinary environment.
You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance delivery while applying sound professional judgement.
What You'll Do Lead the end-to-end delivery of data science solutions including Po Cs, MVPs and production deployments.
Develop and prototype ML models to solve complex business challenges using modern techniques and tooling.
Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables, using approved AI tools where appropriate to improve efficiency and accelerate insight.
Guide and coach data science pods, supporting skill development and solution design.
Act as a subject matter expert on ML architecture, model calibration, and productionisation, promoting responsible AI practices and scalable model governance where applicable.
What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries.
Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles.
Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift.
Ability to communicate complex technical concepts clearly to non-technical audiences and apply AI-enabled approaches to deliver practical business value.
Bonus Points For Participation in Kaggle or other data science competitions.
Experience with MLOps practices (CI/CD, model monitoring, Dev Ops integration).
Familiarity with advanced NLP frameworks such as spa Cy or Transformers and exposure to AI technologies including Generative AI or LLMs.
MSc or Ph D in a numerate discipline.
Financial services or banking experience.
Capco Deliver high-impact technology solutions for Tier 1 financial institutions.
Access continuous learning, training, and industry certifications.
Be part of a team shaping the future of digital financial services. Help shape the future of digital transformation across FS & Energy.
Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
- Continuous
- Learning: Minimum 40 Hours of
- Training
Annually: Take your pick – workshops, certifications, e-learning – your growth, your way.
Business Coach assigned from Day One to help accelerate your development.
Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone.
If you need any adjustments at any stage, just let us know – we'll be happy to help.
Data Science Data Science Senior Data Scientist (Python) (Remote) in London employer: Capco
Capco is an exceptional employer that fosters a collaborative and entrepreneurial culture, allowing you to deliver high-impact transformation programmes for Tier 1 financial institutions. With a strong commitment to employee growth, you will benefit from continuous learning opportunities, structured career development, and a supportive environment that values work-life balance through generous leave policies and wellness perks. Join us in shaping the future of cyber and operational resilience while enjoying a competitive benefits package in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote) 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 Capco!
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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 Capco.
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We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote) 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 Capco, 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 Capco. 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 Capco
✨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 Capco!
✨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.
