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- Tasks: Lead the design and delivery of innovative AI solutions for diverse client projects.
- Company: Join a forward-thinking tech company that values collaboration and creativity.
- Benefits: Enjoy competitive pay, generous leave, private healthcare, and a £1,000 development budget.
- Why this job: Make a real impact with cutting-edge machine learning in a supportive environment.
- Qualifications: Degree in a quantitative field and experience leading complex data science projects.
- Other info: Flexible hybrid working and opportunities to work on exciting technologies.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for a Lead ML Engineer to drive technical project delivery, guiding teams to develop robust, scalable machine learning and generative AI solutions crafted for our clients. If you enjoy seeing the impact of your work in real-world applications, this role is perfect for you. Not only will you play a critical part in client deliverables, but you will also have the chance to explore and apply cutting-edge machine learning techniques across a variety of industries and geographies, delivering projects end-to-end from initial design to production deployment. You will form an integral part of our close-knit team, directly contributing to the ongoing success of the business. We are seeking someone with a collaborative, can-do attitude who has a passion for delivering high-quality solutions and is comfortable leading the delivery of innovative, full-stack data science and machine learning projects. If this sounds like you, we can’t wait to hear from you!
KEY RESPONSIBILITIES:
- Lead the design, development, testing, and evaluation of AI solutions for the successful delivery of several, simultaneous client projects
- Build strong client relationships and lead project centred client interactions
- Oversee the delivery of high-quality code and successful project outcomes
- Build processes for extracting, cleaning and transforming data (SQL / Python)
- Build AI systems using Large Language Models
- Actively seek out new opportunities to learn and develop
- Be an example of data science and software engineering best-practice e.g. Git / Docker / cloud deployment
- Write proposals for exciting new commercial opportunities
- Line manage and provide career mentorship to other data scientists
- Manage project delivery teams
- Collaborate with stakeholders to understand business needs and develop technical strategies
- Take ownership of the development and implementation of internal processes and policies
- Proactive thought leadership to encourage development and promote ADSP
- Contribute to the development and deployment of delivery solutions
- Ad-hoc data mining for insights using Python + Jupyter notebooks
- Train and deploy state-of-the-art machine learning and reinforcement learning models
KEY REQUIREMENTS:
- Degree in a quantitative field such as mathematics, statistics or data science
- Experience of strong communication skills, including leading meetings and presenting technical concepts to stakeholders
- Experience of successfully leading complex data science and AI projects, including a holistic understanding of the data science development process, from design through to deployment, and associated project management and risks
- Experience completing code reviews in Python and SQL through Git, and applied other best practices to technical projects
- Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development
- Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees)
- Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning, LLMs)
- Experience of using different analysis techniques to draw insight from complex data
- Understanding of Docker implementations including Docker storage and volumes
- Ability to successfully manage delivery teams
- Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion
- Ability to work with external stakeholders, including management of expectations understanding of business goals and balancing project requirements
- Ability to think strategically and make complex decisions
- Effective organisational skills e.g. planning, time management
- Effective problem-solving and analytical skills, with high attention to detail
- Familiarity of the most state-of-the-art AI developments and trends
- Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework
INTERVIEW PROCESS:
- Stage 1: 20 min video call with a member of the hiring team
- Stage 2: 60 min live coding task
- Stage 3: 90 min F2F interview incl. presentation in our London office
OUR BENEFITS:
- Competitive compensation package including annual performance bonus
- 26 days of annual leave, 8 bank holidays plus your birthday off
- BUPA Private Healthcare
- Enhanced family leave
- £1,000 annual development budget
- Flexible hybrid working (2 days a week in our modern Shoreditch office)
- Remote working from anywhere in the world for up to 4 weeks each year
- Latest tech that suits you: high-spec Windows machine or MacBook
- Free snacks and drinks, and regular team socials
- Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries
Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future and have real impact.
OUR COMMITMENT TO DEI:
At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at careers@adsp.ai
Lead Data Scientist Data Science Team · London, UK · employer: Applied Data Science Partners
Contact Detail:
Applied Data Science Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist Data Science Team · London, UK ·
✨Tip Number 1
Get your networking game on! Connect with professionals in the data science field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews like a pro! Brush up on your coding skills and be ready to showcase your knowledge of machine learning techniques. We recommend practicing common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Show off your projects! Create a portfolio that highlights your best work in data science and machine learning. We love seeing real-world applications of your skills, so make sure to include any relevant projects that demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make an impact in the world of AI and data science.
We think you need these skills to ace Lead Data Scientist Data Science Team · London, UK ·
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with machine learning and AI projects. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Show Your Passion: Let your enthusiasm for data science and machine learning shine through in your application. We love candidates who are genuinely excited about the field and can demonstrate their commitment to continuous learning and innovation.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and skills, making it easy for us to see why you’d be a great fit for the team.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Applied Data Science Partners
✨Know Your Stuff
Make sure you brush up on the latest machine learning techniques and tools mentioned in the job description. Be ready to discuss your experience with Python, SQL, and any relevant libraries like Pandas or NumPy. Showing that you’re up-to-date will impress the interviewers.
✨Showcase Your Leadership Skills
Since this role involves leading teams and managing projects, prepare examples of how you've successfully led data science projects in the past. Highlight your ability to communicate effectively with stakeholders and how you’ve built strong client relationships.
✨Prepare for the Coding Task
The live coding task is a crucial part of the interview process. Practice coding problems in Python and SQL, focusing on data extraction, cleaning, and transformation. Familiarise yourself with Git for version control, as it’s likely to come up during discussions.
✨Engage and Ask Questions
During the interview, don’t hesitate to ask questions about the company’s projects and future directions. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it’s a great way to demonstrate your strategic thinking.
