At a Glance
- Tasks: Design and develop AI/ML solutions for a leading Financial Services company.
- Company: Join a top-tier financial firm focused on innovation and technology.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with potential for long-term career advancement.
- Why this job: Make an impact in the financial sector using cutting-edge AI and ML technologies.
- Qualifications: 3-5 years of experience in AI/ML, strong Python and SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
Do you have experience of providing Data Scientist expertise on an AI/Machine Learning project? This consulting opportunity is to support our client, a leading Financial Services company, to deliver models, documentation and associated productionised services. The project needs a consultant who has:
- 3-5 years’ experience and can design and develop AI / ML based solutions
- Excellent knowledge of Python (pandas, NumPy, scikit-learn) for data wrangling, modelling, and feature engineering
- Working knowledge of SQL for querying structured data sources
- Experience of Model Development & Validation
- Experience of Machine Learning Deployment
Key services: The key services that you will be asked to provide are:
- Design and develop AI / ML based solutions
- Work with other data scientists to build and deploy production-level solutions
- Troubleshoot and debug code
- Work with other teams to understand and solve business problems.
Mandatory Requirements: Successful consultants will be able to demonstrate experience in the following:
- Python (pandas, NumPy, scikit-learn) for data wrangling, modelling, and feature engineering
- SQL for querying structured data sources
- Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models
- Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines)
- Version Control (Git): To maintain reproducible and collaborative workflows
- Time-Series Analysis: To assess risk trends over financial years
- Exploratory Data Analysis (EDA): To spot early signals or risk clusters
- Financial Crime industry experience.
Optional Requirements: It will also be advantageous if you have the following experience:
- Rank Aggregation/Ensemble Techniques: understanding methods like Robust Rank Fusion (RRF)
- Model Explainability Tools: e.g. SHAP, LIME to support interpretability
- Model Monitoring & Drift Detection
- RegTech/FinCrime/Data-led Supervision Projects
- Developing solutions for record linkage and/or network analytics tasks
- Graph query languages (e.g., Gremlin, Cypher), graph database platforms (e.g., Neptune, Neo4j), and/or graph visualisation platforms.
Working Pattern: Hybrid (2 days per week in London office)
Contract Type: Inside IR35
Start: 1st September
Duration: 6 months +
CT-4408; AI & ML Data Scientist in London employer: B2E Consulting Ltd
Join a leading Financial Services company that values innovation and collaboration, offering a dynamic work culture where your expertise in AI and Machine Learning will directly impact real-world solutions. With a hybrid working model based in London, you will benefit from a supportive environment that fosters professional growth through continuous learning opportunities and exposure to cutting-edge technologies. This role not only allows you to contribute to meaningful projects but also positions you within a forward-thinking team dedicated to tackling complex business challenges.
StudySmarter Expert Advice🤫
We think this is how you could land CT-4408; AI & ML Data Scientist in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace CT-4408; AI & ML Data Scientist in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like CT-4408; AI & ML Data Scientist at B2E Consulting Ltd, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at B2E Consulting Ltd.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at B2E Consulting Ltd
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
