You will immerse yourself into the world of academia, research, biotech, clinical, pharma or industrial laboratory environments. Key Responsibilities: The Life Science Sales Specialist will be responsible for: - Achieve Sales and Margin target set by the company. - Visit customers to promote and sell the SLS Life Science range.
You will have strategic oversight of the Science curriculum across KS3 and KS4 (and KS5 if applicable), driving high standards of teaching and learning while inspiring both staff and students to achieve their full potential.
You will work closely with cross-functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges. Key Responsibilities Data Analysis & Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.
You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.
You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role.
You will be based near the charming, vibrant town of Reading. Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to): - Competitive salary, rising with experience - Employee Pension Scheme - Generous annual leave entitlement
You will work closely with our data science team to understand the data, develop models, and integrate them into our existing systems. This role requires a deep understanding of machine learning algorithms, statistical concepts, and the ability to translate these into practical applications.
You should be entitled to work in the UK with legal work authorization status. - Must be willing to travel within the UK as per project/client requirements. - Excellent communication skills and teamwork skills.
You will obtain the capabilities to think creatively, design solutions and gain vital work experience.
About the job We are currently on behalf of a leading global AI & language technology company, confidentially looking for an English LLM Data Annotator/Evaluator Commitment: 20+ hours/week Location: Remote – United Kingdom Employment Type: Part-Time/Full-Time | Contract Application Process - Submit your resume to express interest. - Complete the short information form...
Kraken is the world's most exciting and rapidly scaling energy technology company. They are building the number one platform for energy management with potential to transform utilities' transition to clean energy across the globe. Kraken powers energy systems globally, and already has 40% of the UK energy market running on its platform. With $500m in contracted ARR, a growing footprint across...
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
Data Scientist - £70k | Remote / Hybrid | FinTech / Payments We’re working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating across several regulated markets. They’re now investing further in their...
Introduction Boothbay Fund Management, LLC is a multi-manager, multi-strategy firm with 100+ alternative asset managers trading strategies across a spectrum of asset classes globally. Boothbay launched its flagship strategy in 2014. Boothbay has its primary office in NYC, and additional offices in London, Hong Kong, and Westchester. The firm is operated with an entrepreneurial spirit and is...
About the Opportunity This is a unique opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data pipelines and infrastructure that...
ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting...
Company Insight: A leading quantitative trading firm is seeking a Data Engineer to join a high-impact data team operating at the core of a large-scale automated trading platform. Data underpins every decision in this environment. This role sits at the intersection of engineering, analysis, and live production, partnering directly with research and trading teams to ensure data flows are...
Data Scientist (Multiple roles, various seniority) | Sports Data (Pick YOUR sport) We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for the sport, ensuring that the insights they deliver are both rigorous and...
You will design, build, and deploy production‑grade models using energy‑market data, asset telemetry, weather data, settlement data, and commercial datasets. This role is central to the evolution of our pricing, risk, trading, and optimisation engines.
You will collaborate closely with engineering, product, and commercial teams and work with a high degree of autonomy.
You should be entitled to work in the UK with legal work authorization status. - Must be willing to travel within the UK as per project/client requirements. - Excellent communication skills and teamwork skills.
About the job We are currently on behalf of a leading global AI & language technology company, confidentially looking for an English LLM Data Annotator/Evaluator Commitment: 20+ hours/week Location: Remote – United Kingdom Employment Type: Part-Time/Full-Time | Contract Application Process - Submit your resume to express interest. - Complete the short information form...
You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.
You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role.