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- Tasks: Lead data science projects and develop machine learning models to drive business growth.
- Company: Join a forward-thinking software engineering consultancy with a focus on innovation.
- Benefits: Flexible working, professional development, and a fun, diverse team environment.
- Why this job: Make a real impact in the Broadcast Media industry with cutting-edge data solutions.
- Qualifications: Experience in data science and machine learning, with strong programming skills in Python.
- Other info: Dynamic role with opportunities for career growth and collaboration in a hybrid work setting.
The predicted salary is between 50000 - 70000 £ 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 in London employer: YLD
Contact Detail:
YLD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when working with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at YLD.
We think you need these skills to ace Contract Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Senior Data Scientist. Highlight your experience with machine learning models and data engineering, as these are key for us at YLD. Use specific examples that showcase your skills and achievements.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about data science and how your background aligns with our mission at YLD. Don’t forget to mention your collaborative spirit and how you can contribute to our clients’ success.
Showcase Your Projects: If you’ve worked on relevant projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that involve machine learning and data-driven solutions. Link to your GitHub or portfolio if you have one!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at YLD!
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.
✨Showcase Your Collaboration Skills
Since the role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you’ve translated complex data insights into actionable strategies for non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of scenarios where you identified a business problem, formulated a data-driven solution, and implemented it. Be ready to explain your thought process and the impact of your solutions.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in data science and AI technologies. Be prepared to discuss how you can apply these trends to solve business challenges, particularly in the Broadcast Media industry. This shows your proactive approach and genuine interest in the field.