At a Glance
- Tasks: Drive data analysis and engineering to transform raw data into strategic insights.
- Company: Fast-growing consultancy specialising in data, AI, and advanced analytics.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Exciting projects across the UK and Europe with excellent career advancement potential.
- Why this job: Join a dynamic team and make a real impact in the financial sector.
- Qualifications: Experience in data engineering, analytics, and strong stakeholder management skills.
The predicted salary is between 90000 - 100000 £ per year.
Senior Data Engineer / Data Analyst
Location: hybrid 3 days per week onsite in either London or Sheffield (can be negotiated to 2 days per week for exceptional candidates in exceptional circumstances)
- Remuneration: either £450/day INSIDE IR35, or £90-£100k permanent employed
- Description
Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions.
With programmes running across the UK and Europe, they are expanding their team to support large-scale data science and modelling initiatives
This is a Senior Data Scientist/Analyst role within their global banking client’s developer experience team, supporting a new organisation-wide analysis initiative.
This role sits at the intersection of data engineering and analytics, and requires strong, critical data processing and presentation skills to translate raw, ambiguous data into insights that directly drive strategic decisions across the organisation.
Essential Requirements
- Stakeholder Management & Analysis
- Drive organisation-wide analysis, autonomously conducting gap analyses and translating ambiguous business needs into clear technical roadmaps.
- Manage expectations directly with users and data owners, keeping delivery aligned to business priorities.
- Data Engineering
- Architect, build, and scale robust data pipelines using Python and SQL across platforms such as Big Query and Postgre SQL.
- Work within established team standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement.
- Statistical Analysis & Quality
- Apply advanced, critical quantitative methods (Pandas, Num Py) to process raw data and derive actionable insights.
- Implement automated frameworks to ensure enterprise-grade data quality and continuous validation.
- Strategic Reporting
- Design high-impact visualisation dashboards using Looker Studio.
- Go beyond basic reporting to translate raw statistical findings into insights that clearly drive strategic business decisions.
- Engineering Excellence & Delivery
- Developer Experience & DORA metrics: A working knowledge of DORA metrics (Lead Time to Deploy, Release Frequency) will be nice.
Knowledge of Development Practices/Pipeline/Methodologies will be needed.
- Nice to Have
- Knowledge of workflow toolkits such as Apache Airflow, Dagster, or similar.
- Active use of modern LLMs (Claude, Git Hub Copilot) to accelerate development and pioneer AI-assisted coding practices within the team.
- Version control: Enforce version control best practices (Git/Git Hub), lead code reviews, and integrate pipelines into CI/CD workflows.
- Cloud architecture: Prior experience deploying, optimising, working with cloud environments.
- #J-18808-Ljbffr
Senior Data Scientist employer: Lithe Consulting Ltd
As a leading manufacturer in advanced polymer-based processes, this company stands out as an excellent employer in Stone, UK, offering a supportive and collaborative work environment. Employees benefit from a strong culture of innovation and quality, with ample opportunities for personal and professional growth, making it a rewarding place to build a career as a 7.5t driver.
StudySmarter Expert Advice🤫
We think this is how you could land 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 Lithe Consulting 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 Lithe Consulting 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 Lithe Consulting Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Lithe Consulting 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
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 Lithe Consulting 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 Lithe Consulting 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 Lithe Consulting 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 Lithe Consulting 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.
