At a Glance
- Tasks: Deliver impactful data science projects and translate insights into actionable strategies.
- Company: Join a leading analytics team in a dynamic and innovative environment.
- Benefits: Competitive salary, professional development, and opportunities for client engagement.
- Other info: Collaborative culture with opportunities for travel and career growth.
- 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/R, and a degree in a quantitative field.
The predicted salary is between 40000 - 50000 £ per year.
As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. You will work closely with the Data & Analytics Manager and senior colleagues, deliver data science projects, and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You are expected to 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 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: Occupop
As a Data Scientist at our company, you will be part of a dynamic Analytics Team that values innovation and collaboration. We offer a supportive work culture that encourages professional growth through hands-on projects and cross-functional teamwork, all while making a tangible impact on client outcomes. Located in the heart of the UK, we provide unique opportunities for travel and engagement with diverse clients, ensuring that your contributions are both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects. Whether it’s predictive modelling or data visualisation, having tangible examples of your work can really impress potential employers.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to explain your thought process and how you approach problem-solving. Confidence is key!
✨Apply Through Our Website
Don’t forget to check out our job listings on the StudySmarter website! Applying directly through us can give you an edge, as we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with data science projects, machine learning techniques, and any relevant industry knowledge. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can contribute to our team. Be sure to mention specific projects or experiences that showcase your technical skills and commercial awareness.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Include details about your proficiency in Python, R, SQL, and any data visualisation tools you’ve used. We love seeing examples of how you’ve applied these skills to deliver actionable insights.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Occupop
✨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 examples of how you've turned complex analyses into clear, actionable insights for clients or stakeholders. Practice explaining your findings in a way that's easy to understand, as this role requires strong communication skills to engage non-technical audiences.
✨Show Your Commercial Awareness
Research the company and its industry to understand their challenges and opportunities. Be ready to discuss how your analytical skills can solve real business problems, particularly in sectors like Telecoms, Banking, or Utilities. This will demonstrate your ability to apply data science in a commercial context.
✨Be Ready to Collaborate
Since this role involves working closely with various teams, think of examples where you've successfully collaborated on projects. Highlight your experience in cross-functional teamwork and how you’ve contributed to enhancing products or marketing strategies through data insights.
