At a Glance
- Tasks: Collaborate on advanced data-driven solutions and enhance analytical insights for TfL.
- Company: Join TfL, a forward-thinking organisation committed to innovation and sustainability.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a culture of continuous learning and improvement with excellent career prospects.
- Why this job: Make a real impact by leveraging AI and machine learning in a dynamic environment.
- Qualifications: Experience in data science, machine learning, and strong communication skills required.
The predicted salary is between 63000 - 77000 £ per year.
All offers of employment are subject to satisfactory right‑to‑work checks. Candidates must be able to demonstrate their right to work in the UK. At the present time, TfL is unable to offer visa sponsorship for this role.
Hybrid working within this role enables a balance of 50 per cent of time split between the office and home over a 4-week period. Hybrid working arrangements can evolve subject to business requirements.
Overview of project/role:
The Data Scientist will collaborate closely with the Lead Data Scientist and Principal Data Scientist and cross-functional teams to design, deliver and continually enhance advanced data-driven solutions and analytical insights for TfL. You'll prepare, structure and analyse diverse datasets (structured and unstructured) to ensure they're robust, reliable and fit for analytical purposes, including suitability for leveraging AI and Generative AI techniques.
Your role requires you to apply statistical, mathematical and scientific methods including exploratory data analysis, predictive modelling, machine learning, deep learning, hypothesis testing, optimisation techniques and emerging Generative AI methodologies to extract meaningful insights that inform strategic and operational decisions. You'll confidently evaluate analytical models and methodologies, refining and validating their effectiveness, with particular attention to optimising the performance of machine learning models.
You'll engage proactively with stakeholders to define business problems clearly and translate them into analytical projects. Your strong communication skills will ensure that complex findings are presented clearly through compelling visualisations and narratives, tailored to technical and non-technical audiences alike, highlighting potential applications of AI-driven solutions.
As part of your responsibilities, you'll explore innovative analytical techniques, contributing to TfL’s culture of continuous learning and improvement, including staying abreast of advancements in AI and Generative AI. You'll also promote adherence to best practices (including ethical standards) for model training and development, deployment and performance monitoring.
Key Responsibilities:
- Build, test and iteratively refine scripts and algorithms using data science programming best practices, including version control and reproducibility and developing in, and helping to shape, an ML Ops framework and environment.
- Develop robust analytical solutions and algorithms from extensive customer and operational datasets, including ticketing, sensor, telemetry and vehicle log data.
- Integrate and analyse complex datasets to derive actionable insights supporting key operational and strategic decisions across TfL.
- Ensure the practical application of analytical findings, providing development teams with clear methodologies ready for implementation, including applications leveraging AI and machine learning.
- Identify operational efficiencies and opportunities for improvement through rigorous analytical approaches.
- Research, prototype, test and enhance innovative approaches in machine learning, deep learning, AI and Generative AI.
Data Scientist - ML Ops in London employer: Future of London
Transport for London (TfL) is an exceptional employer, offering a dynamic work environment that fosters innovation and inclusivity. With a strong commitment to employee growth, TfL provides opportunities for professional development while ensuring a healthy work-life balance through hybrid working arrangements. Employees enjoy generous benefits, including free travel on the TfL network, a final salary pension scheme, and a focus on equality, diversity, and inclusion, making it a rewarding place to build a meaningful career in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - ML Ops 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 Future of London.
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We think you need these skills to ace Data Scientist - ML Ops 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 Future of London, 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 Future of London. 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 Future of London
✨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 Future of London!
✨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.
