At a Glance
- Tasks: Deliver impactful data science projects and translate insights into actionable strategies.
- Company: Join a dynamic analytics team at a leading data consultancy in London.
- Benefits: Negotiable salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real difference by optimising client operations with your data expertise.
- Qualifications: 2+ years in data science, strong skills in Python, SQL, and machine learning.
The predicted salary is between 50000 - 70000 £ per year.
Location: Hybrid / Monument St, London EC3R 8AJ, UK
Job type: Permanent / Full-time
Sector and subsector: IT | Data Science
Salary: Negotiable salary
As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing.
You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes.
Responsibilities
- Deliver data science projects, from problem definition through to actionable insights and presentation of results
- Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes
- Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats
- Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders
- Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making
- Support pre-sales and client engagement, helping to demonstrate the value of data insight
- Follow best practices in data science, reproducible research, and ethical AI
- Collaborate cross-functionally to enhance the company’s products and marketing data solutions
What Success Looks Like in the Role
- Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes
- Building trust and credibility with clients as an analytical consultant
- Regular iteration on our machine learning methodologies, tools, and frameworks
- Consistent demonstration of technical excellence and commercial insight in all project deliverables
- Measurable contribution to the enhancement of Sagacity’s data science and analytics product suite
Competencies and Experience
- 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy
- Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar
- Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP)
- Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering
- Strong command of SQL and familiarity with data engineering environments such as Databricks or similar
- Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma
- Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences
- Commercially aware, with proven success in applying analytics to solve business problems
- Strong communicator; able to engage stakeholders and present findings with clarity and confidence
- Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment
- Willing to travel across the UK for client engagements
- Must have the right to work in the UK and a commitment to ongoing professional development
Data Scientist employer: Hollybank Trustees Ltd
At Sagacity, we pride ourselves on being an exceptional employer, offering a dynamic hybrid work environment in the heart of London. Our collaborative culture fosters innovation and professional growth, empowering Data Scientists to engage in impactful projects that drive client success. With a commitment to ongoing development and a focus on data-driven strategies, we provide our employees with the tools and opportunities to excel in their careers while making meaningful contributions to our clients' operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, including any predictive models or visualisations you've developed. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Be ready to discuss your past projects and how you've used data to drive business outcomes—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience, especially in data science and analytics, and showcase your technical skills like Python, SQL, and machine learning techniques.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills can contribute to our team. Be sure to mention any specific projects or achievements that align with the job description.
Showcase Your Projects:If you've worked on any data science projects, make sure to include them in your application. Whether it's predictive modelling or data visualisation, demonstrating your hands-on experience will set you apart from other candidates.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hollybank Trustees Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python, R, and SQL. Be ready to discuss specific projects where you've applied machine learning techniques or built data pipelines. This will show that you can deliver high-quality analytics and understand the technical side of things.
✨Translate Data into Insights
Prepare to explain how you've turned complex analyses into actionable insights for clients or stakeholders. Use examples from your past experience to demonstrate your ability to communicate technical findings clearly and effectively, especially to non-technical audiences.
✨Show Your Commercial Awareness
Familiarise yourself with the industry sectors mentioned in the job description, like Telecoms or Banking. Think about how data science can solve real business problems in these areas and be ready to discuss your thoughts during the interview. This will highlight your understanding of the commercial impact of your work.
✨Engage and Ask Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and how they measure success in data science projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
