Contract Senior Data Scientist

Location: Remote EU

Department: Engineering/Data

Employment Type: Contract (B2B)

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.

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.

• 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.

• 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 safeguarder of our reputation;
• Good communication skills (both verbal and written).

• 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

• 1st Interview with someone from the Talent team (30/45 mins)
• Technical Interview with our Senior Developers (1h30)
• Meet and discuss with a Client Partner (15/30mins)

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

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.