Future Tech Jobs
Future Tech Jobs
Experts who transform raw data into actionable insights. A core role in the data-driven decision-making process of modern organisations.
Data Scientists are the linchpins of data-driven organisations, transforming vast amounts of raw data into meaningful insights that inform strategic decisions. They work across a range of industries, from finance and healthcare to retail and technology, using statistical models, machine learning, and data visualisation to uncover patterns and trends. Whether in a startup or a large corporation, Data Scientists play a crucial role in driving innovation and optimising business performance.
A typical week for a Data Scientist is a mix of data exploration, model building, and stakeholder communication.
Based on advertised midpoints across the 35 priced live listings on the board. Base salary only.
A typical UK progression for data scientists. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.
Assist in data collection and cleaning, and support more senior team members in model development and analysis.
Own specific projects, develop and validate models, and communicate insights to stakeholders.
Lead complex projects, mentor junior team members, and influence strategic decisions with data-driven insights.
Drive the overall data strategy, lead a team of data scientists, and collaborate with C-level executives.
There's no single route, but most people follow some version of these steps.
Gain a strong understanding of statistics, programming, and data manipulation. Complete relevant courses or a degree in a quantitative field.
Work on personal or open-source projects to build a portfolio that showcases your data science skills and expertise.
Secure internships or entry-level roles to gain hands-on experience in a professional setting. Learn to work with real-world data and business challenges.
Choose a specific industry or domain, such as healthcare or finance, and deepen your knowledge and skills in that area.
Take on leadership roles, manage projects, and mentor junior team members. Develop your communication and management skills.
Collaborate with C-level executives to drive the organisation's data strategy. Influence key business decisions with data-driven insights.
As a Senior Data Scientist, you will lead the development of rigorous statistical methodologies to evaluate AI systems, focusing on bias, fairness, and consistency. You will work closely with founders and technical teams to set industry standards in AI assurance, contributing to high-impact, regulatory, and legally significant projects.
This role involves applying advanced analytics and modelling techniques to enhance financial crime detection and prevention. You will develop and maintain fraud detection rules, build predictive models, and collaborate with internal and external stakeholders to implement data-driven solutions. The position offers a hands-on, high-impact opportunity to shape fraud and financial crime strategy in a fast-scaling financial services environment.
As a Data Scientist, you will work on commercially meaningful modelling projects, focusing on predictive and scoring models to improve marketing effectiveness and customer engagement. You will collaborate with clients and internal teams, presenting findings and iterating on models to ensure they remain effective. The role offers exposure to diverse industries and the chance to work on impactful projects.
This role involves applying statistical and machine learning techniques to commercial datasets, building predictive models, performing feature engineering, and embedding models into production pipelines. The focus is on practical model delivery and documentation, with opportunities for growth and potential transition to a permanent position.
This role involves applying statistical and machine learning techniques to real commercial datasets, building predictive and anomaly-detection models, and working with Python, PySpark, and Microsoft Fabric Lakehouse. The focus is on practical model delivery, documentation, and handover, with opportunities for growth and ownership.
The role involves developing advanced models and analytics to extract value from operational data, with a focus on airline operations. The Data Scientist will work closely with Data Engineers, perform exploratory data analysis, and ensure models can be adapted for different operational companies. The position requires strong AI/ML expertise and the ability to translate insights into business impact.
This role involves analysing complex datasets to identify trends and risks, developing predictive models, and creating visualisations in Power BI. You will work closely with cross-functional teams to improve data quality and drive data-driven decision making, contributing to the company's value proposition to insurer partners.
This role involves identifying and defining new data product opportunities, evaluating emerging AI technologies, and driving product innovation from concept to launch. The Data Scientist will work closely with Product Managers and Data Analysts to convert data assets into scalable, commercially viable insights and features, ensuring technical feasibility and commercial opportunity are aligned.
Our MissionAt Vertical Aerospace, we are pioneering the way for electric aviation. The Valo, our eVTOL (electric, vertical, take-off and landing), 'zero emissions' aircraft will set a new safety standard for how we will navigate the sky.We won't realise our...
This role involves taking ownership of a proven, production-grade credit risk model and continuously refining and optimizing it. You will work on feature engineering, algorithm selection, model validation, and performance optimization, with direct exposure to senior stakeholders. The environment is collaborative and hands-on, with a clear pathway to leadership over time.
This role involves leading data-focused projects to combat financial crime and fraud, working closely with senior stakeholders and junior team members. You will analyze large datasets, design monitoring processes, and translate insights into actionable recommendations, all while supporting the business's expansion into complex data solutions.
As a Network Data Scientist at Sky, you will develop advanced analytics methods, including predictive modeling and time series forecasting, to uncover trends and optimize customer experiences. You will collaborate with stakeholders across the organization, create visualizations, and present findings to drive data-driven decisions, all while working with cutting-edge technologies in a hybrid environment.
As a Graduate AI Data Scientist, you will work closely with cross-functional teams to analyze datasets, build predictive models, and deliver insights that support business decisions and AI product development. You will assist in data collection, model training, and communicating findings to both technical and non-technical stakeholders, while staying up-to-date with the latest AI and data science trends.
Data Scientist* Exeter, Devon (Hybrid-working minimum of x2 days in the office you must be based locally)* c£55,000 per year* Plus an excellent benefits package (including Pension, Bonus, Life Insurance, Healthcare, etc.)Skills and Experience:* Expert proficiency in Python for data...
As a Lead Data Scientist, you will set the technical direction for complex, business-critical projects, ensuring high-quality, scalable delivery. You will mentor cross-functional teams, manage client relationships, and drive innovation in a fast-growing AI consultancy that works with global clients across various industries.
Essential skills include strong statistical knowledge, programming proficiency (Python, R), data manipulation, and communication skills.
Gain relevant skills through courses or a degree, build a portfolio, and seek internships or entry-level roles to gain practical experience.
The typical progression is from Junior Data Scientist to Data Scientist, Senior Data Scientist, and finally Principal Data Scientist.
Key responsibilities include data analysis, model development, stakeholder communication, and staying updated with the latest research and tools.
Salaries vary based on experience and location. For more detailed salary information, please refer to the salary section on this page.
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