Data Scientist Jobs

Trainee AI Engineer – No Experience NeededFuture-proof your career in Artificial Intelligence – starting today.Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.Train online at your own pace and land your first AI Engineer role in 1-3 months.Please note this is a training course and fees applyJob guaranteed - complete the programme and get a job or get your money back.Our candidates earn £28,000-£45,000.Why AI?AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.How It WorksStep 1 – AI Engineering FundamentalsStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.Step 2 – Data FundamentalsUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.Step 3 – Notebooks & IDEsGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.Step 4 – Python ProgrammingMaster Python, covering everything from the basics to object-oriented programming (OOP).Step 5 – Python Streamlit ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.Step 8 – AI Prompt EngineeringMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.Step 9 – Retrieval-Augmented Generation (RAG)Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.Step 10 – AI Specialised Customer Service Chatbot ProjectCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.Step 11 – Machine Learning FundamentalsUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.Step 12 – Machine Learning ProjectPut your machine learning knowledge into practice with a hands-on project.Step 13 – AI & Data EthicsStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.Step 14 – Oral ExamComplete a virtual oral exam to assess your understanding and ability to apply your learning.Step 15 – AWS Certified Cloud PractitionerFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.What You Get· 100% online, self-paced training· Microsoft AI-900 certification included· 1-to-1 tutor and recruitment support· Real-world project experience· Job guarantee – get a job or your money back· Starting salary of £28,000–£45,000We Get You HiredWe’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in LondonReady to Start?If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer

ITOL Recruit

UK

Trainee AI Engineer – No Experience NeededFuture-proof your career in Artificial Intelligence – starting today.Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.Train online at your own pace and land your first AI Engineer role in 1-3 months.Please note this is a training course and fees applyJob guaranteed - complete the programme and get a job or get your money back.Our candidates earn £28,000-£45,000.Why AI?AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.How It WorksStep 1 – AI Engineering FundamentalsStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.Step 2 – Data FundamentalsUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.Step 3 – Notebooks & IDEsGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.Step 4 – Python ProgrammingMaster Python, covering everything from the basics to object-oriented programming (OOP).Step 5 – Python Streamlit ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.Step 8 – AI Prompt EngineeringMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.Step 9 – Retrieval-Augmented Generation (RAG)Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.Step 10 – AI Specialised Customer Service Chatbot ProjectCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.Step 11 – Machine Learning FundamentalsUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.Step 12 – Machine Learning ProjectPut your machine learning knowledge into practice with a hands-on project.Step 13 – AI & Data EthicsStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.Step 14 – Oral ExamComplete a virtual oral exam to assess your understanding and ability to apply your learning.Step 15 – AWS Certified Cloud PractitionerFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.What You Get· 100% online, self-paced training· Microsoft AI-900 certification included· 1-to-1 tutor and recruitment support· Real-world project experience· Job guarantee – get a job or your money back· Starting salary of £28,000–£45,000We Get You HiredWe’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in LondonReady to Start?If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Role: Data EngineerLocation:?Bournemouth, UK (?5 days per week in the office)Type: PermanentNote: VISA Sponsorship is not availableRequirement:We are seeking a skilled Data Engineerto join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions.Key ResponsibilitiesEnd-to-End Data Pipeline Development

Design, implement, and maintain scalable ETL/ELT pipelinesfor collecting, transforming, and delivering data across systems.

Ensure data quality, reliability, and timelinessthroughout the pipeline.

Data Integration & Movement

Develop secure and efficient solutions for data movementbetween internal and external systems.

Work with both structured and unstructured data sources.

Analytical Insights

Analyze large datasets to extract actionable insightsand present findings in a business-friendly format.

Collaborate with data scientists and business stakeholdersto identify opportunities for impactful analysis.

Algorithm Support

Provide clean, well-structured data to support predictive models and algorithmsfor cash forecasting and fund movement.

Collaboration & Communication

Work closely with product, engineering, and business teams to understand requirements and deliver solutions.

Document processes and share knowledge with team members.

Required Qualifications

Proven experience in designing and building data pipelines (ETL/ELT)using modern technologies (Python, SQL, Spark, Airflow, etc.).

Strong analytical skills with the ability to interpret complex data and deliver business value.

Experience integrating data from multiple sources and systems.

Familiarity with cloud data platforms(AWS, Azure, GCP) and big data technologies.

Ability to work independently and collaboratively in a fast-paced environment.

Excellent communication and documentation skills.

Preferred Qualifications

Awareness or experience with financial concepts, especially in banking or cash management.

Experience supporting predictive analytics or machine learning workflows.

Knowledge of data governance, security, and compliancein financial services.

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Data Scientist:We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products.Key ResponsibilitiesDesign, develop, and optimize machine learning and deep learning models.Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.Perform data cleaning, feature engineering, and exploratory data analysis (EDA).Build and manage data pipelines and model training workflows.Deploy models into production and monitor performance.Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.Conduct model evaluation, A/B testing, and performance tuning.Document models, experiments, and technical processes.Required Skills & QualificationsClassic Machine learning (Regression, predictive Analysis, Classification, Clustering)Machine learning Model OptimisationStrong proficiency in Python (NumPy, Pandas, Scikit-learn).Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.Experience in Natural Language Processing (NLP) and/or Computer Vision.Strong knowledge of Machine Learning algorithms and statistics.Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.Preferred SkillsExperience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).Cloud experience (AWS, Azure, or GCP).Experience building AI APIs and microservices.EducationBachelors or Masters degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)Soft SkillsStrong problem-solving and analytical thinkingExcellent communication and storytelling skillsAbility to work in fast-paced, cross-functional teams

Senior Data Scientist

Senior Data Scientist - Customer Data Salary: £70,000 - £85,000 (DoE) Location: Hybrid - 2/3 days per week in a Central London office Job Reference: J13015Full UK working rights required - no sponsorship available Immediate requirement - strong leadership and senior stakeholder skillsWe are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is a senior, highly autonomous position, acting as the number two to the Director of Customer Data, where you will operate at a strategic level while remaining hands-on.This is an excellent opportunity for a senior-level data scientist who wants real ownership, influence, and visibility, and to be part of a business at a transformative point in its data maturity.The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. You will be instrumental in helping define best practice, drive advanced analytics use cases, and influence how customer data is activated across products, CRM, and marketing.While experience with personalisation and recommender systems would be highly desirable, it is not essential. The role is broader in scope and suited to someone who enjoys owning complex customer data problems end-to-end and shaping the direction of advanced data science initiatives. ________________________________________The Role Act as a senior technical and strategic lead within the Customer Data team, working closely with (and deputising for) the Director. Take full ownership of your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact. Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight. Contribute to the evolution and activation of the newly implemented CDP, helping the organisation realise its full value. Own the full machine learning lifecycle - from problem definition and model design through to deployment, monitoring, and optimisation. Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals. Partner with data engineering and platform teams to ensure scalable, robust, and production-ready solutions. Act as a senior stakeholder, able to clearly communicate complex concepts and influence decision-making at all levels. _______________________________________Skills & Experience Strong, hands-on experience in machine learning and applied data science within customer or commercial domains. Experience with recommender systems, personalisation, or deep learning is desirable but not essential. Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. Good understanding of MLOps practices, including deployment, monitoring, and retraining pipelines. Proven ability to work cross-functionally with marketing, CRM, product, and engineering teams. Excellent communication, leadership, and stakeholder management skills. Experience operating in a global or multi-regional environment is a plus. ________________________________________If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes. For each relevant candidate you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in analytics and host of the critically acclaimed Women in Data event. For more information, visit www.datatech.org.uk.

Machine Learning Engineer

£45,000 - £65,000 GBP £7,000 DV Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: PermanentTitle: Machine Learning EngineerArea: National Security ProjectsLocation: London (Hybrid) - 3 days per weekSecurity: Eligibility for Developed Vetting Clearance with the UK GovernmentSalary: Up to £65k + £7k annual DV bonus (once obtained)About the Role:We’re seeking Machine Learning Engineers to design and deploy ML models for national security applications. You’ll work on GenAI, LLMOps, and traditional ML solutions using AWS infrastructure, unique datasets collaborating with data scientists and software engineers to build greenfield solutions.What You’ll Do:

Build and optimise Machine Learning pipelines

Develop LLM-powered solutions and apply responsible AI practices

Transition experiments into production-ready solutions

Implement experiment tracking and monitoring

Collaborate with data scientists and engineers

What We’re Looking For:

Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow)

Hands-on experience with AWS ML services (SageMaker, Lambda)

Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS)

Knowledge of LLMOps and GenAI tools (LangChain, LangSmith)

Understanding of feature engineering and vector databases

Strong grasp of CI/CD practices for ML deployment

Why Join Us:

Work with niche datasets and cutting-edge tech

Hybrid working and flexible benefits

£7k tax-free DV bonus once clearance completes

Apply today and make a real-world impact.Reference: AMC/JWH/MLEL1#jawh

We are looking for a Technical Officer (Conservation GIS) to join the Conservation Programmes team in this full-time, hybrid working role.This is an exciting opportunity to join an internationally respected charity at the forefront of international conservation efforts through our programme of land purchase and land acquisition in collaboration with our international partners around the world.Position: Technical Officer (Conservation GIS) Location: Halesworth, Suffolk / Hybrid Salary: £25,500 – £26,800 per annum Hours: Full Time (35 hours per week) Contract: PermanentClosing Date: 09:00am on Monday 2nd February 2026Interview Date: Interviews expected to be held on Wednesday 11 and Thursday 12 FebruaryThe RoleThe Technical Officer will support the development, monitoring and communication of conservation projects, working closely with the Senior Technical Officer and Director of Conservation. The role has a strong focus on spatial mapping and data analysis, monitoring our conservation projects and producing online maps and materials to support communication of our conservation impact.You will:

Support the design, analysis and monitoring of our international conservation projects across a diverse portfolio of habitats and regions

Undertake spatial mapping and data analyses using spatial mapping software

Work collaboratively with colleagues to produce online maps and materials for publications, developing innovate maps and analyses of conservation impact

If you are passionate about wildlife conservation and want to play a meaningful role in protecting threatened habitats worldwide, we would love to hear from you.About YouWe are seeking a motivated and technically skilled individual with a strong interest in conservation and a passion for GIS and spatial analysis.The ideal candidate will:

Hold a relevant degree or equivalent experience and bring expertise in spatial analysis, including proficiency with tools such as ArcGIS, QGIS or Google Earth Engine

Be a confident user of Excel and other Microsoft Office applications and able to work both independently and collaboratively within a small team, delivering high quality work under time constraints

Be imaginative in creating clear, compelling maps and visual materials, culturally sensitive when working with a diverse range of people, and enthusiastic about learning new skills and methodologies

Above all, demonstrate a genuine passion for conservation and the mission of World Land Trust.

Benefits Include:

Flexible and hybrid working arrangements from day one

A supportive and inclusive working environment

Opportunities to contribute to high-impact international conservation work

A healthy work-life balance, with flexibility built into the working culture

About the OrganisationThe organisation is a UK-based international conservation charity with over 30 years’ experience protecting threatened habitats worldwide. Working in partnership with more than 50 conservation organisations overseas, it supports land purchase, land acquisition and ecosystem services projects to safeguard biodiversity while maintaining the highest standards of integrity, transparency and accountability.You may have experience in areas such as; GIS Analyst, Environment GIS Technician, Environmental Monitoring Assistant, Environmental Monitoring Technician, Ecological Data Analyst, Environmental Data Scientist, Environmental Data Analyst, Ecology Data and Project Manager, Assistant Ecologist, Ecological Technical Advisor, Environmental Technician, etc.PLEASE NOTE: This role is being advertised by NFP People on behalf of the organisation.

Senior Environmental Data Scientist/Hydrologist

Focus Resourcing Group

Location: Wallingford, UK (Remote considered) Hours: Full-time (part-time considered) Closing Date: 9 January 2026Shape the future of hydrology and climate resilience. Our client is offering an exciting opportunity for an ambitious, collaborative Environmental Data Scientist or Hydrologist to join our clients growing software development team in Wallingford. If you want to innovate, solve real-world water challenges, and influence national environmental tools, we’d love to hear from you. In this role you will play a key role in developing our hydrological methods, modelling tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you’ll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products.You’ll help advance the science powering products such as:

Qube - our clients online water resources modelling platform, incorporating the CERF rainfall-runoff model.

FEH Flood Modelling Suite - ReFH2 and WINFAP5, the UK’s trusted flood estimation tools.

Your role:

Develop and manage hydrological methods for Qube.

Contribute to ReFH2 and WINFAP5 development.

Explore and implement machine learning enhancements to hydrological models.

Support scientific research and integrate findings into commercial software.

Work closely with regulators and users to ensure compliance, quality, and usability.

Required Skills & Experience

A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.).

Strong programming skills in Python and/or R.

Experience developing machine learning models for environmental or complex datasets.

Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.).

Excellent communication skills for both technical and non-technical audiences.

Demonstrable experience in hydrology or water-related environmental science.

A relevant postgraduate qualification is welcome but not essential.

What you can expect in year one:

Build deep expertise in Qube, CERF, and the FEH flood modelling suite.

Develop Python modules and apply ML methods to hydrological problems.

Become familiar with UK water environment regulatory frameworks.

Collaborate with leading UKCEH scientists and liaise with UK regulators.

Produce high-quality technical reports.

Begin your journey toward professional chartership (e.g., CIWEM).

Following your first year, opportunities include:

Influencing the strategic development of our software products.

Leading R&D projects as a Project Manager.

Helping develop client proposals.

Contributing to our strategic marketing and product development plans.

Benefits & CultureOur client is an employee-owned trust, who invests in their people and their wellbeing.

40+ days holiday (with buy/sell options).

Profit-share and tax-free bonuses through employee ownership.

Matched pension contributions (5-10%).

Health plan, Cycle to Work, Environment Day.

5 days training per year, plus support towards chartership.

Flexible working arrangements.

Financial support for professional memberships

Formal appraisal and personal development planning

Flexible working hours

High-quality IT infrastructure & personal computing budget

Fun annual staff events (axe throwing, escape rooms, and more)

Senior Data Scientist

Senior Data Scientist - Customer Data Salary: £70,000 - £85,000 (DoE) Location: Hybrid - 2/3 days per week in a Central London office Job Reference: J13015 Full UK working rights required - no sponsorship available Immediate requirement - strong leadership and senior stakeholder skills We are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is a senior, highly autonomous position, acting as the number two to the Director of Customer Data, where you will operate at a strategic level while remaining hands-on. This is an excellent opportunity for a senior-level data scientist who wants real ownership, influence, and visibility, and to be part of a business at a transformative point in its data maturity. The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. You will be instrumental in helping define best practice, drive advanced analytics use cases, and influence how customer data is activated across products, CRM, and marketing. While experience with personalisation and recommender systems would be highly desirable, it is not essential. The role is broader in scope and suited to someone who enjoys owning complex customer data problems end-to-end and shaping the direction of advanced data science initiatives. ________________________________________ The Role • Act as a senior technical and strategic lead within the Customer Data team, working closely with (and deputising for) the Director. • Take full ownership of your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact. • Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight. • Contribute to the evolution and activation of the newly implemented CDP, helping the organisation realise its full value. • Own the full machine learning lifecycle - from problem definition and model design through to deployment, monitoring, and optimisation. • Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals. • Partner with data engineering and platform teams to ensure scalable, robust, and production-ready solutions. • Act as a senior stakeholder, able to clearly communicate complex concepts and influence decision-making at all levels. _______________________________________ Skills & Experience • Strong, hands-on experience in machine learning and applied data science within customer or commercial domains. • Experience with recommender systems, personalisation, or deep learning is desirable but not essential. • Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. • Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. • Good understanding of MLOps practices, including deployment, monitoring, and retraining pipelines. • Proven ability to work cross-functionally with marketing, CRM, product, and engineering teams. • Excellent communication, leadership, and stakeholder management skills. • Experience operating in a global or multi-regional environment is a plus. ________________________________________ If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes. For each relevant candidate you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in analytics and host of the critically acclaimed Women in Data event. For more information, visit (url removed)

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week. We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you! We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation. To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Data Scientist:We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products.Key ResponsibilitiesDesign, develop, and optimize machine learning and deep learning models.Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.Perform data cleaning, feature engineering, and exploratory data analysis (EDA).Build and manage data pipelines and model training workflows.Deploy models into production and monitor performance.Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.Conduct model evaluation, A/B testing, and performance tuning.Document models, experiments, and technical processes.Required Skills & QualificationsClassic Machine learning (Regression, predictive Analysis, Classification, Clustering)Machine learning Model OptimisationStrong proficiency in Python (NumPy, Pandas, Scikit-learn).Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.Experience in Natural Language Processing (NLP) and/or Computer Vision.Strong knowledge of Machine Learning algorithms and statistics.Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.Preferred SkillsExperience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).Cloud experience (AWS, Azure, or GCP).Experience building AI APIs and microservices.EducationBachelors or Masters degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)Soft SkillsStrong problem-solving and analytical thinkingExcellent communication and storytelling skillsAbility to work in fast-paced, cross-functional teamsTPBN1_UKTJ

Pricing Analyst

STAR ACTUARIAL FUTURES LIMITED

Are you a talented data scientist or pricing analyst, looking for your next career opportunity within a boutique, data-focused provider of GI insurance services?Then look no further!Star Actuarial is currently representing an exciting chance to develop and maintain statistical models to analyse pricing performance and total profitability.Monitoring and analysing competitive position, customer behaviour, claims performance and profitability, you will feed findings into recommendations for rating action and changes to pricing structures.In addition, you will establish and evaluate tests to assess the relative performance of competing pricing structures while analysing and monitoring competitor pricing activity.With the ability to analyse data to support decision-making, the successful candidate will be able to identify, investigate and explain data trends.Previous experience using analytical software and tools (e.g. Snowflake, Python, R, Power BI) also required.Previous experience in the insurance industry (car/travel) is preferred.Get in touch now for more information.

Junior Decision Scientist

UK Power Networks (Operations) Ltd

81870 - Junior Decision ScientistJunior Decision Scientist Opportunity - LondonShape Strategic Decisions, Grow Your Career, and Enjoy Exceptional BenefitsAre you analytical, curious, and eager to make an impact? We are seeking a Junior Decision Scientist to join our Strategy, Regulation & Support Services directorate in our London office. This permanent role is perfect for those ready to build their career in data-driven decision-making.Reporting directly to the Senior Decision Sciences Manager, you will play a vital part in supporting strategic initiatives and regulatory projects. You’ll work alongside talented professionals in a dynamic environment, leveraging your skills to drive meaningful change across the business.We offer a competitive salary of 40,000.00 plus a 7.5% bonus, with a blended working model after your probation period (3 days in the office, 2 days working remotely). Enjoy 25 days annual leave (plus bank holidays), reservist leave, a leading personal pension plan (up to 10% employer contribution), tenancy and season ticket loans, and tax-efficient benefits like Cycle to Work, Home & Tech, and Green Car Leasing schemes. Your well-being is supported through occupational health and a positive, inclusive workplace culture.Ready to take your next step? Apply now! Applications close on 30/01/2026. Join us and shape the future of decision sciences while enjoying fantastic rewards and career growth.For more information and to view the full job description please click apply!If you have any queries in connection to this vacancy or your application, please contact us at quoting the vacancy reference number and a member of the team will get in touch with you as soon as possible.

Role: Data EngineerLocation:?Bournemouth, UK (?5 days per week in the office)Type: PermanentNote: VISA Sponsorship is not availableRequirement:We are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions.Key ResponsibilitiesEnd-to-End Data Pipeline DevelopmentDesign, implement, and maintain scalable ETL/ELT pipelines for collecting, transforming, and delivering data across systems.Ensure data quality, reliability, and timeliness throughout the pipeline.Data Integration & MovementDevelop secure and efficient solutions for data movement between internal and external systems.Work with both structured and unstructured data sources .Analytical InsightsAnalyze large datasets to extract actionable insights and present findings in a business-friendly format.Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis.Algorithm SupportProvide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement.Collaboration & CommunicationWork closely with product, engineering, and business teams to understand requirements and deliver solutions.Document processes and share knowledge with team members.Required QualificationsProven experience in designing and building data pipelines (ETL/ELT) using modern technologies (Python, SQL, Spark, Airflow, etc.).Strong analytical skills with the ability to interpret complex data and deliver business value.Experience integrating data from multiple sources and systems.Familiarity with cloud data platforms (AWS, Azure, GCP) and big data technologies.Ability to work independently and collaboratively in a fast-paced environment.Excellent communication and documentation skills.Preferred QualificationsAwareness or experience with financial concepts , especially in banking or cash management.Experience supporting predictive analytics or machine learning workflows .Knowledge of data governance, security, and compliance in financial services.TPBN1_UKTJ

Principal Computational Biologist (Systems Biologist)

Principal Computational Biologist (Systems Biologist) (Under the leadership of Alex Kalinka)Internally this is known as Principal Bioinformatician (Systems Biologist)£57,000 - £70,900 plusbenefits (includes up to 12% pension contribution and income protection)Reports to: Group Leader - Quantitative BiologyDirectorate: Research & InnovationContract: PermanentHours: Full time 35 hours per weekLocation: Cambridge, Babraham Research Campus, Biomedical Campus (Limited flexibility 3-4 days per week on site)Closing date: 25 January 2026 23:55This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. Please let us know if there is anything about the recruitment process that you would like to discuss, in particular if there are any changes or adjustments that would make it easier for you to apply. Please contact or 020 3469 8400 as soon as possible.Visa sponsorship: Cancer Research UK can consider visa sponsorship for this vacancy. If this applies to you, please ensure that this is clearly marked on your application.Recruitment process: 1st stage interview via Microsoft Teams, 2nd stage will include a presentation followed by competency-based questions on-siteInterview date: We will be booking in 1st stage interviews on an ongoing basis, 2nd stage in planned for 3 and 6 of FebruaryAt Cancer Research UK, we exist to beat cancer.Cancer Research Horizons are looking to recruit a passionate scientific professional to set and drive our computational strategy for integrating cancer systems biology methodologies into our drug discovery pipeline to motivate key decisions arising in the target ID, target validation, and disease positioning spaces.About Cancer Research HorizonsAs the world’s biggest medical research charity, we’ve helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster.We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK’s established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK’s world-class academic network, cutting edge technology platforms and clinical expertise to 1) bring new treatments to patients faster and 2) tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success.Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, Cancer Research Horizons employs ~200 staff from both industrial and academic backgroundsThis is a new role for the team and real chance to make a tangible impact from day one. Utilise your expertise to support CRH in taking take a bigger, more holistic view of cancer. Build robust evidence packages and leverage cutting-edge systems-level predictive modelling to uncover the molecular pathways driving cancer development. You will become an integral part of the Cancer Research Horizon Drug Discovery team helping to progress novel cancer targets towards patient benefit. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers.What will I be doing?Our new strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of projects, from idea to pre-clinical Candidate. Reporting directly to the Leader of our Quantitative Biology team, we are looking for an experienced computational biologist to develop a systems level approach to understanding cancer molecular networks to underpin predictive modelling of patient response that moves beyond single-gene biomarkers. In this role you will take a mechanistic, causative approach to understanding how patient somatic mutations drive the development of cancer and work closely with functional genomics scientists to test novel hypotheses.In this role you will:

Set and drive our computational strategy for integrating cancer systems biology approaches to support key decisions relating to target ID, target validation, and disease positioning.

Develop a patient-data focused biomarker strategy underpinned by a systems level understanding of cancer molecular pathways.

Analyse patient genomic data to uncover key somatic driver mutations and integrate this information with molecular pathways to build a mechanistic understanding of cancer development.

Provide deep expertise in computational biology and its role in oncology drug discovery.

Foster a culture of continuous improvement for our computational and analytical approaches.

Provide scientific and strategic leadership in computational biology across CRH.

Communicate effectively to influence multiple stakeholders and collaborate across projects and sites, including externally.

Promote scientific excellence, through external publication and presentations.

What are we looking for?

PhD in bioinformatics, data science, or equivalent

Experience within a drug discovery environment (i.e pharma, biotech or academic institute)

A strategic thinker with proven scientific leadership, including through matrix management

Experienced in the use and development of cancer systems level predictive modelling to uncover the molecular pathways underpinning cancer development

Experience of working with oncology patient datasets and using them to test and generate novel hypotheses

Experience of integrating multi-omics datasets (genomic, transcriptomic, proteomic, metabolomic) to infer molecular pathways involved in driving cancer

Experience of using machine learning and AI tools to support a systems level understanding of cancer

Programming experience with tools such as Python

Experience adhering to good coding hygiene practices such as documentation, testing, and code review

Excellent communication skills, ability to describe complex science in an engaging and inclusive manner.

Ability to build open and honest relationships and influence multiple stakeholders.

Ability to work collaboratively across projects and sites, also externally

Our organisation values are designed to guide all that we do.Bold: Act with ambition, courage and determinationCredible: Act with rigour and professionalismHuman: Act to have a positive impact on peopleTogether: Act inclusively and collaborativelyWe’re looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer.If you’re interested in applying and excited about working with us but are unsure if you have the right skills and experience we’d still love to hear from you.What will I gain?We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals.You can explore our benefits by visiting our careers web page.How do I apply?We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won’t be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively.For more information on this career opportunity please visit our website or contact us.For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.

Principal Computational Biologist (Portfolio Generation)

Principal Computational Biologist *(*Portfolio Generation) (Under the leadership of Alex Kalinka)Internally this is known as Principal Bioinformatician (Portfolio Generation)£57,000 - £70,900 plusbenefitsReports to: Group Leader - Quantitative BiologyDirectorate: Research & InnovationContract: PermanentHours: Full time 35 hours per weekLocation: Cambridge, Babraham Research Campus, (Limited flexibility 3-4 days per week on site)Closing date: 25 January 2026 23:55This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. Please let us know if there is anything about the recruitment process that you would like to discuss, in particular if there are any changes or adjustments that would make it easier for you to apply. Please contact or 020 3469 8400 as soon as possible.Visa sponsorship: Cancer Research UK can consider visa sponsorship for this vacancy. If this applies to you, please ensure that this is clearly marked on your application.Recruitment process: 1st stage interview via Microsoft Teams, 2nd stage will include a presentation followed by competency-based questions on-siteInterview date: We will be booking in 1st stage interviews on an ongoing basis, 2nd stage in planned for 3 and 6 of FebruaryAt Cancer Research UK, we exist to beat cancer.Cancer Research Horizons are looking to recruit a passionate scientific professional to set and drive our computational strategy for the discovery and validation of novel oncology targets, including through the analysis of patient data.About Cancer Research HorizonsAs the world’s biggest medical research charity, we’ve helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster.We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK’s established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK’s world-class academic network, cutting edge technology platforms and clinical expertise to 1) bring new treatments to patients faster and 2) tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success.Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, Cancer Research Horizons employs ~200 staff from both industrial and academic backgroundsThis is a new role for the team and real chance to make a tangible impact from day one. We are looking for candidates who can bring strong experience of AI and machine learning to unlock the power of real patient data. We’re just scratching the surface, and now’s your chance to lead the way. In In this role, you will become an integral part of the Cancer Research Horizon Drug Discovery team helping to progress novel cancer targets towards patient benefit. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers.What will I be doing?Our new strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of projects, from idea to pre-clinical Candidate. Reporting directly to the Leader of our Quantitative Biology team, we are looking for an experienced computational biologist to develop, evaluate, and apply both existing and novel machine learning and AI approaches to integrate multi-modal oncology datasets to generate novel testable hypotheses. As a Principal Computational Biologist, you will work closely with bench scientists, bioinformaticians, and statisticians to design functional genomics experiments to test computational predictions and support the analysis and interpretation of downstream validation experimentIn this role you will:

Set and drive our computational strategy for the analysis of patient multi-omics datasets to discover novel oncology targets.

Evaluate, develop, and implement new and existing machine learning and AI approaches to uncover actionable biological insights from large multi-modal oncology datasets.

Provide deep expertise in computational biology and its role in oncology drug discovery.

Foster a culture of continuous improvement for our computational and analytical approaches.

Provide scientific and strategic leadership in computational biology across CRH.

Communicate effectively to influence multiple stakeholders and collaborate across projects and sites, including externally.

Promote scientific excellence, through external publication and presentations.

Play a pivotal role in training and developing colleagues.

What are we looking for?

PhD in bioinformatics, data science, or equivalent

Experience within a drug discovery environment specifically a pharma or biotech company

Experienced in the use and development of machine learning and AI approaches for the integration and analysis of large multi-omics datasets

A strategic thinker with proven scientific leadership, including through matrix management

Programming experience with tools such as Python

Experience adhering to good coding hygiene practices such as documentation, testing, and code review

Excellent communication skills, ability to describe complex science in an engaging and inclusive manner.

Ability to build open and honest relationships and influence multiple stakeholders.

Ability to work collaboratively across projects and sites, also externally

Our organisation values are designed to guide all that we do.Bold: Act with ambition, courage and determinationCredible: Act with rigour and professionalismHuman: Act to have a positive impact on peopleTogether: Act inclusively and collaborativelyWe’re looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer.If you’re interested in applying and excited about working with us but are unsure if you have the right skills and experience we’d still love to hear from you.What will I gain?We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals.You can explore our benefits by visiting our careers web page.How do I apply?We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won’t be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively.For more information on this career opportunity please visit our website or contact us.For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.

Senior Data Scientist

£45,000 - £65,000 GBP £7,000 DV Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: PermanentRole: Senior Data ScientistArea: National Security ProjectsLocation: London (Hybrid) - 3 days per weekSecurity: Eligibility for Developed Vetting Clearance with the UK GovernmentSalary: Up to £65k + £7k annual DV bonus (once obtained)About the Role:This is a unique opportunity to apply advanced data science in the national security domain. You’ll work with highly sensitive, complex datasets that you won’t find anywhere else, solving problems that have a direct impact on UK security. Expect variety: one day you’ll be scoping new AI projects with stakeholders, the next you’ll be building models for text, image, or geospatial data, and later presenting findings to senior decision-makers.You’ll influence strategy, mentor junior colleagues, and help shape how AI is adopted across critical missions. If you want to combine technical depth with meaningful impact, this is the role for you.What You’ll Do:

Lead data science projects from scoping to deployment

Apply ML and statistical methods across varied data types

Collaborate with ML engineers to productionise models

Communicate insights to technical and non-technical stakeholders

Mentor junior team members

Skillset:

Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy)

Experience with AWS cloud services (SageMaker, Lambda, S3)

Familiarity with MLOps tools (MLflow, Weights & Biases)

Knowledge of NLP, computer vision, or time-series analysis

Ability to design experiments and apply statistical validation

Understanding of Responsible AI principles and model explainability

Ready to take your data science expertise to the next level and make a real-world difference? Apply today.Reference: AMC/JWH/DSLB1#jawh

Senior Data & Analytics Engineer

Senior Data & Analytics Engineer - Contract Opportunity in Cork, IrelandKey Skills and ExpertiseThe ideal candidate will bring expertise and hands-on experience with the following:

SQL: Demonstrated capability creating, optimizing, and managing databases and queries for actionable insights.

ETL: Experience in building and maintaining Extract, Transform, and Load processes for efficient data flow.

Tableau: A MUST-HAVE skill for creating compelling data visualizations and dashboards to support decision-making.

Snowflake/AWS Redshift: Experience with cloud-based data warehouses for scalable and secure data storage.

Python: Strong programming skills for automating data analytics and solving complex problems.

AWS Sagemaker (Desirable): Familiarity with building and deploying machine learning models is advantageous.

If you’re passionate about delivering innovative data solutions and want to be part of an ambitious team, this role could be your perfect match!Apply NowDon’t miss this exciting opportunity to contribute your expertise as a Senior Data & Analytics Engineer. Apply today to join our client’s team in shaping the future of data and analytics!Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.To find out more about Computer Futures please visit

Job Title: Data EngineerLocation: Hybrid based in GlasgowEmployment Type: ContractDay rate: £350 - £425Infinitive is a small but highly successful and growing company at the cutting edge oftech within the rail industry, utilising hardware, software and data. We have workedon many exciting projects recently (with more in the pipeline) and we have animpressive list of clients such as Network Rail, Transport for Wales, Transport forLondon & Keolis to name just a few. We also delivered on a key project for the FifaWorld Cup Qatar 2022.Role Overview:Data Engineers will be responsible for helping collect and convert the data intouseful data products, ready to be consumed and visualised. The successfulcandidate will play a key role in developing and maintaining data pipelines, ensuringthe accuracy and availability of data, and supporting the creation of insightfulvisualisations. The ideal candidate will have experience working with railway industrydata, along with proficiency in tools such as FME and Microsoft Power Platform.Key Responsibilities:* Design, develop, and maintain robust data pipelines to collect, process, and store data from various sources within Network Rail’s routes* Ensure data quality, integrity, and availability by implementing appropriate validation, transformation, and cleaning processes.* Collaborate with the data visualisation team to provide clean and well-structured data that supports the development of insightful and user friendly visualisations.* Apply industry-specific knowledge to work with railway data, ensuring that the data solutions developed are relevant, accurate, and aligned with industry standards.* Implement and maintain data governance standards to ensure compliance with legal and regulatory requirements.* Ensure that all data handling practices meet Network Rail’s security* and privacy policies.* Monitor and optimise data pipeline performance to ensure efficient data* processing and minimal downtime.* Troubleshoot and resolve data-related issues in a timely manner.* Maintain comprehensive documentation of data processes, pipelines,* and system architecture.Qualifications & Experience:* Proven experience as a Data Engineer, preferably within the railway or transport sector* Strong proficiency with FME and Microsoft Power Platform tools.* Solid understanding of data integration, ETL processes, and data warehousing concepts.* Experience working with railway industry data, including familiarity with relevant standards and regulations.* Proficiency in SQL, Python, and/or other relevant programming languages.* Experience with cloud-based data solutions (e.g., Azure, AWS).* Experience of working in an agile environment.* Analytical mindset with a focus on data accuracy and quality.* Strong problem-solving skills and attention to detail.* Ability to work independently and as part of a team in a fast-paced environment.* Strong communication skills with the ability to explain complex technical concepts to a non-technical audience.We want to attract a wide range of diverse applicants to Infinitive Group, so if youhave read through the job advert and don’t tick all the boxes but are very interestedin the opportunity, please reach out for a chat

London - Hybrid Salary £70-75,000 +20% Bonus We’re hugely excited to be working exclusively alongside a global Food & Beverage organisation, partnering their search for two talented Data Scientists. You can expect ahuge amount of autonomy and general appetite for Data Science in the wider business, as this award-winning group look to upscale their Data Science & AI arm. What you can expect: A very greenfield landscape to work on; working closely with individual teams to understand, model, and ultimately apply the best use of Data Science. As such, you can expect a fair bit of internal stakeholder management as you understand team briefs. A huge amount of support from the Head of AI and wider tech team. They’ve recently bolstered the team with some hugely influential AI leaning hires, meaning the general Data Science roadmap is filled with exciting projects and support from the wider business. For your Data Science skills to grow exponentially. You’ll no doubt be spinning a lot of plates, but you can expect to be working on a huge variety of technical projects, working in tandem with the wider AI team. Desired background/ skillset: You’ll have a solid couple of years creating and delivering advanced analytical projects and advanced modelling techniques using Python & SQL. Bonus points for exposure to Databricks! You’ll likely be someone adept at spinning multiple plates at once and experienced in taking project briefs in some capacity. A natural Data storyteller, someone who loves to use their technical toolkit to create compelling data driven stories. This is one of the most varied and equally exciting Data Science roles we’ve worked in a while. If you feel this could be well suited, please apply with an up to date CV and we can take it from there

Sports Trading Quantitative Analyst

Spectrum It Recruitment Limited

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.Skills required:

Proficient in several of the following: Python, C#, C++, Java

Mathematical Modelling

Mathematical skills, particularly a keen understanding of probabilities and statistics

Analytic mindset

Strong communication skills

Accuracy and attention to detail

Experience in data science

An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson atSpectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Data Scientist Jobs

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