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For Companies At a Glance
- Tasks: Lead data science projects and develop machine learning models to drive business growth.
- Company: Join YLD, a dynamic software engineering and design consultancy in London.
- Benefits: Flexible working, competitive pay, and opportunities for skill development.
- Why this job: Make a real impact in the Broadcast Media industry with innovative data solutions.
- Qualifications: Experience in data science and machine learning, with strong programming skills.
- Other info: Collaborative environment with a focus on diversity and work-life balance.
The predicted salary is between 60000 - 80000 £ per year.
Location: London/Hybrid (Strong preference for 1 day a week in the office)
Contract Length: 6 months (with potential for extension)
About YLD
Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto.
About the role
As a Data Scientist, you will take responsibility for data, insights, and models that help our clients grow quickly. You’ll have Machine Learning Engineering experience and use this to build data capabilities that integrate well with software products. You'll work closely with the clients' cross-functional innovation team to build new and novel products that serve the Broadcast Media industry.
Responsibilities
- Collaborate with stakeholders to identify and understand business problems and define data-driven solutions;
- Lead end-to-end data science projects, from problem formulation and data exploration to model development, validation, and deployment;
- Apply advanced statistical modelling and machine learning techniques to derive actionable insights and drive strategic decision-making;
- Develop and implement predictive and prescriptive models to solve complex business challenges;
- Collaborate with software and data engineers to integrate data from multiple sources and ensure data quality and integrity;
- Communicate complex analytical concepts and insights to technical and non-technical stakeholders in a clear and compelling manner;
- Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies, and proactively identify opportunities to apply them to business problems.
Qualifications
- Proven experience as a Data Scientist, with a strong focus on developing and deploying machine learning models in a production environment.
- Expertise in programming languages such as Python, with proficiency in data manipulation, analysis, and model development libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
- Proven experience with machine learning algorithms, such as supervised and unsupervised learning techniques, time series analysis, and natural language processing.
- Strong statistical modelling skills and familiarity with statistical analysis tools.
- Proficiency in SQL and working with relational databases.
- Solid understanding of data engineering concepts, data preprocessing, and feature engineering techniques.
- Strong problem-solving and analytical skills, with the ability to think creatively and develop innovative solutions.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Strong project management skills, with the ability to prioritise tasks and meet deadlines.
- Experience in a professional engineering role iteratively shipping software with a team of close collaborators;
- Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
- Comfortable working in a dynamic production environment and taking care of client expectations effectively;
- Distinct customer focus and quality mindset;
- An exemplar of YLD’s brand and safeguard of our reputation;
- Good communication skills (both verbal and written).
What you’ll get in return
The chance to work with a forward-thinking, ethical, and fun group of people and to develop and grow your skills in a fast-moving business. We’re an equal‑opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. We also believe in work‑life balance and offer flexible working around our core hours.
Contract Senior Data Scientist employer: YLD
Contact Detail:
YLD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Senior Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, make sure it highlights your machine learning models and insights. This is your chance to impress potential employers with your hands-on experience!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in data science. Practice explaining your thought process clearly, as communication is key when working with cross-functional teams.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Contract Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Contract Senior Data Scientist. Highlight your experience with machine learning models and data science projects, as well as any relevant programming skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our clients' success. Be sure to mention specific projects or experiences that showcase your skills and creativity.
Showcase Your Communication Skills: Since you'll be working with both technical and non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex ideas clearly. In your application, include examples of how you've effectively communicated insights in past roles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at YLD
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning algorithms and statistical modelling techniques. Be ready to discuss specific projects where you've applied these skills, especially in a production environment. This will show that you not only understand the theory but can also implement it effectively.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can convey your insights and solutions clearly, as this is crucial for collaboration and getting buy-in from clients.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenging business problems using data-driven solutions. Highlight your creative thinking and how you balance innovation with practical technology choices. This will demonstrate your ability to think critically and adaptively in a dynamic environment.
✨Familiarise Yourself with YLD's Values
Research YLD’s mission and values, especially their focus on empowering clients and fostering collaboration. Be ready to discuss how your personal values align with theirs and how you can contribute to their goal of helping clients outperform competitors.