At a Glance
- Tasks: Utilise advanced statistical methods and machine learning to solve complex business problems.
- Company: Leading big data services firm trusted by innovative companies worldwide.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor junior data scientists.
- Why this job: Join a dynamic team and make a real impact with cutting-edge data solutions.
- Qualifications: 5+ years experience in data science, strong communication skills, and proficiency in Python or R.
The predicted salary is between 60000 - 80000 £ per year.
The Client provides expert advisory and implementation services for open source big data solutions. As the first and only pure‑play big data services firm, their Data Scientists and Engineers are trusted advisors to the world's most innovative companies. Their experienced teams combine a distinctive methodology and a proven framework that includes tested design patterns and pre‑built components, to help clients build applications faster. The Client helps customers leverage Big Data analytics by integrating open source platforms, such as Hadoop, NoSQL and Streaming Engines, with best‑of‑breed data warehousing environments.
The Clients Data Science team delivers insights and value to clients from heterogeneous data sets with solutions that integrate into engineering and decision‑making processes. Additionally, their team enables big data analytics for their clients through advisory services including use case prioritizations, tool selection and training, and capability definitions. Their success as a services firm relies on their experts' ability to be more than technologists and statisticians.
The Senior Data Scientist will be responsible for utilising advanced statistical and machine learning methods to answer business questions and deliver insightful solutions to complex problems. The ideal candidate has excellent interpersonal and communication skills and can interact with business and technology stakeholders where necessary.
Specific Responsibilities- Design hypothesis tests, oversee test execution, and evaluate the results
- Model, predict and classify data
- Utilise machine learning and large‑scale data mining techniques to discover and identify actionable patterns in the data
- Help define and document business requirements and acceptance criteria
- Assist in or lead workshops and documenting relevant outcomes
- Identify opportunities and appropriate solutions (e.g. algorithms and libraries)
- Present to both technical and non‑technical stakeholders, internally and in a Customer facing capacity
- Agile cross‑functional teamwork
- Contribute to sprint planning, provide realistic estimates and plan deliverables
- Attend stand‑ups and retrospectives
- Research, design, evaluate, build, tune and document end‑to‑end data science solutions
- Understand and solve scalability and production issues
- Adhere to coding standards and best practices
- Ensure all models are validated and all business logic is robustly tested
- Have a minimum of five years professional experience
- Have clear written and spoken English
- Have experience presenting to business stakeholders
- Have experience formalising data science solutions based on a set of business requirements
- Have demonstrable experience of delivering a data science solution to production
- Have knowledge and experience of the products software lifecycle
- Have an excellent understanding of machine learning and statistics
- Have well‑developed quantitative skills and analytical thinking
- Have experience in scaling data science methods and accounting for non‑functional requirements
- Have demonstrable professional experience in Python or R
- Have demonstrable professional experience in Scala, Java or C
- Be proficient with version control tools and strategies, ideally Git and Gitflow
- Have hands‑on work experience with Data analysis and visualisation tools and workbenches
- Have hands‑on work experience with Analysing structured, semi‑structured and unstructured data
- Have hands‑on work experience with Data query languages, e.g. SQL, HiveQL or similar
- Have experience in working in cross‑functional agile software engineering teams
- Have experience in reliably estimating, planning and meeting deadlines for deliverables
- Have experience mentoring Junior Data Scientists
- Hands‑on work experience or proficiency with Spark, Scikit‑learn and Pandas, Distributed systems, Hadoop ecosystem, Cloud‑based machine‑learning APIs
- Have sufficient knowledge of NLP
- Have experience with TDD, BDD and Continuous Integration
Senior Data Scientist in London employer: COLLAB. Recruitment Ltd
As a leading pure-play big data services firm, our company offers an exceptional work environment for Senior Data Scientists, where innovation and collaboration thrive. We provide comprehensive training and growth opportunities, ensuring that our employees are at the forefront of big data analytics while working with cutting-edge technologies in a supportive and agile culture. Located in a vibrant tech hub, we foster a dynamic atmosphere that encourages creativity and professional development, making us an ideal employer for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨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 COLLAB. Recruitment Ltd!
✨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 Senior Data Scientist at COLLAB. Recruitment Ltd.
✨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 COLLAB. Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at COLLAB. Recruitment Ltd, 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 Senior Data Scientist in London
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 COLLAB. Recruitment Ltd, 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 COLLAB. Recruitment Ltd. 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 COLLAB. Recruitment Ltd
✨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 COLLAB. Recruitment Ltd!
✨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.
