At a Glance
- Tasks: Lead data analysis initiatives and build robust data pipelines using Python and SQL.
- Company: Fast-growing consultancy specialising in data, AI, and advanced analytics for financial institutions.
- Benefits: Competitive pay, flexible remote work options, and opportunities for professional growth.
- Other info: Join a dynamic team with exciting projects across the UK and Europe.
- Why this job: Make a real impact by transforming raw data into strategic insights for major organisations.
- Qualifications: Strong experience in data engineering, analytics, and stakeholder management.
The predicted salary is between 54000 - 66000 £ per year.
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
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.
- 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 BigQuery and PostgreSQL.
- 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, NumPy) to process raw data and derive actionable insights.
- Implement automated frameworks to ensure enterprise-grade data quality and continuous validation.
- Active use of modern LLMs (Claude, GitHub Copilot) to accelerate development and pioneer AI-assisted coding practices within the team.
Data Science Manager (Remote) in Sheffield employer: Lithe Consulting
As a leading UK manufacturer in advanced polymer-based processes, this company stands out as an excellent employer by fostering a supportive and collaborative work culture where every employee's contribution is valued. With a commitment to innovation and long-term growth, employees benefit from ongoing development opportunities and a stable environment that prioritises their well-being and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager (Remote) in Sheffield
✨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!
✨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 Data Science Manager (Remote) at Lithe Consulting.
✨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.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Manager (Remote) at Lithe Consulting, 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 Data Science Manager (Remote) in Sheffield
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, 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. 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
✨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!
✨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.
