At a Glance
- Tasks: Lead data science projects and develop models to drive business growth.
- Company: Join YLD, a forward-thinking software engineering consultancy in London.
- Benefits: Flexible working, skill development, and a fun, ethical team environment.
- Other info: Dynamic work culture with a focus on growth, inclusion, and collaboration.
- Why this job: Make a real impact with cutting-edge data science and machine learning techniques.
- Qualifications: Experience in data science, machine learning, and strong programming skills in Python.
The predicted salary is between 63000 - 77000 £ per year.
Location: London/Hybrid (Strong preference for 1 day a week in the office)
Department: Engineering/Data
Employment Type: Contract (B2B)
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.
Your day-to-day responsibilities will look like this:
- 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
Technical competencies:
- 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.
Non-Technical competencies:
- 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 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.
Our typical Recruitment Process looks like this:
- 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)
We live and breathe our values, and know you will too:
- 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.
Contract Senior Data Scientist employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Senior Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Doist!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Contract Senior Data Scientist at Doist.
✨Leverage Professional Networks
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 Doist.
✨Apply Directly through Our Website
When you find a suitable opening like Contract Senior Data Scientist at Doist, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Contract Senior Data Scientist
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 Doist, 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 Doist. 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 Doist
✨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 Doist!
✨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.
