Data Scientist Jobs in London

Make yourself visible and let companies apply to you.

Roles

Data Scientist Jobs in London

Overview

Looking for top Data Scientist jobs in London? Explore the latest London-based data science roles on Haystack, your go-to IT job board. Whether you're a seasoned data scientist or just starting your career, find exciting opportunities with leading companies in the heart of the UK’s tech scene. Start your search today and take the next step in your data science career in London!

Filters applied

London

Data Scientist

Salary

Location

Remote preference

Role type

Seniority

Tech stack

Sectors

Contract type

Company size

Visa sponsorship

Orion is partnered with a leading renewable energy business that is rolling out advanced data solutions across its operations. We are recruiting a forward-thinking and driven Data Analyst to join their Information Management team.

The successful candidate will turn complex data into actionable insights, build dashboards, and develop AI agents to improve productivity across the business.

Data Analyst Benefits:

Competitive Salary £50,000 £60,000

26 days annual leave bank holidays

Hybrid working 3 4 days in the office

Data Analyst Duties:

Build and maintain Power BI dashboards and data models

Connect to and manage data sources within Microsoft Azure & data lakes

Use Python for complex queries to improve data accuracy and automation

Support engineers in adopting AI tools to create SOPs and solve operational issues

Ensure data quality and consistency across all platforms

Data Analyst Required Experience:

Power BI, DAX, and data modelling experience

Microsoft Azure (data lakes, SQL)

Ability to manage multiple projects concurrently

Python for data queries and automation advantageous

Interest in renewable energy is a bonus but not essential

If you like the look of this Data & AI Analyst role, then click and apply, or, for further information, please contact Jamie Garcia-Courtice (url removed)

INDMAN

Due to the volume of applications we receive, unfortunately, we are not able to respond to every application personally, so if you have not heard back from us within 5 working days, please assume your application has been unsuccessful. To see our other available vacancies please visit our website.

Data Analyst

Focus Search and Selection

Data Analyst - Mortgage Industry

I’m working with a forward-thinking mortgage lender that’s entering an exciting new phase of growth. They’re building a modern proposition with long-term products and fresh ideas, backed by the stability of an established financial services group. This is a chance to join at a pivotal stage and genuinely shape how the business evolves.

This role reports directly into senior leadership and sits at the heart of the business, giving you exposure across multiple teams. It’s a fast-paced environment where no two days are the same - perfect for someone who wants to combine technical expertise with commercial impact.

What you’ll be doing

Taking ownership of portfolio and data flow, ensuring smooth delivery to both internal and external parties

Enhancing Business Intelligence through SQL and Python development

Turning data into insight by building and maintaining dashboards (QuickSight or similar)

Working with stakeholders to translate business needs into data-driven solutions

Reviewing and validating technical content across communications and regulatory documents

Providing modelling and quantitative support for projects and initiatives

Using research and analysis to improve products, processes, and lending criteria

What we’re looking for

2-5 years’ experience in a data or analytics role

A strong academic background, ideally in maths, statistics, or computer science

Solid SQL skills (essential)

Hands-on experience with BI/dashboards such as Amazon QuickSight, Power BI, or Tableau

Analytical mindset with strong numeracy and problem-solving ability

Someone organised, detail-focused, and motivated to deliver

A confident communicator who can build relationships across the business

Familiarity with mortgages or financial services would be useful but not essential

This is very much a role for someone who wants to make their mark in a smaller, ambitious business where your work will be noticed. You’ll be part of a collaborative team and get exposure to both the technical and commercial sides of the mortgage industry.

What’s on offer

Competitive base salary (dependent on experience)

28 days’ annual leave plus bank holidays

Private medical cover

Workplace pension scheme

Annual learning and development allowance

Regular team socials

Hybrid working: 4 days office, 1 day remote

If you’re motivated by the idea of helping to shape a growing lender and want the chance to combine technical skills with real-world business impact, this is a great opportunity.

Data Analytics Trainer Healthcare

Rise Technical Recruitment Limited

Data Analytics Trainer (Healthcare) Remote - Part-Time, up to 3 days per week Up to £47,500 (Pro Rata) + Pension + Flexible Hours

Do you have a background in Data Analytics and Healthcare?

Are you open to making a career change and step into a role where you will help to train the next generation of Healthcare Data professionals and play an important part in peoples’ lives?

On offer is a unique opportunity to step into a first-of-its-kind role and take ownership for the delivery of a highly important training programme.

This well-established organisation has an excellent reputation within their industry and are known for having a culture that focuses on helping people, a team that is diverse and for looking after their staff. With excellent prospects on offer, they have a structured progression pathway for all members of staff and provide plenty of training & qualification opportunities to their staff.

In this role, you will deliver virtual/video seminars to groups of apprentices and provide 1 to 1 coaching & mentoring. You will also facilitate small round tables, teaching & providing guidance to groups of 5, and take responsibility for assessing student progress and providing them with feedback.

The ideal candidate for this role will have an understanding of experience of Data Analytics & Data analysis relating to Health and/or Social Care. This will include excellent mathematics & statistics knowledge, as well as knowledge of population health and epidemiology.

If you are a Data Analytics professional with experience in the Healthcare or Social care industries and are looking for an opportunity that offers training & progression and a chance to make an impact & help other people, then this role is for you. The Role:

Delivering virtual seminars

Coaching students 1 to 1

Conducting round table sessions with small groups of students

Assessing apprentices’ progress

The Person:

Data Analytics, Data Science or Data Engineering professional

Experience of the healthcare or social care sectors

Strong mathematical, statistical and analytical skills

Knowledge of population health & epidemiology

Reference Number: BH-262625

To apply for this role or to be considered for further roles, please click “Apply Now” or contact Ilyas Shirwani at Rise Technical Recruitment.

We are an equal opportunities employer and welcome applications from all suitable candidates.

KDB Specialist/Application Developer

Job Title: KDB Specialist/Application Developer

Contract Length: 12 Months

Location: London (Hybrid working model)

Pay Rate: 800 to 1,200 per day (Umbrella)

About the Role:

We are seeking a talented KDB Specialist Developer to join our eFX Strategy & Engineering teams. In this role, you will help build and enhance our analytics framework in KDB+/q, ensuring the resiliency and scalability of our KDB+ estate. You will also be responsible for developing reporting dashboards for key stakeholders, leveraging data stored within KDB.

Key Responsibilities:

Collaborate with the eFX Strategy and Engineering teams to design and implement robust KDB+/q solutions.

Enhance the performance, reliability, and resilience of our KDB+ environment.

Build and maintain reporting dashboards for stakeholders using KDB data.

Support the analytics framework to meet evolving business needs.

Requirements:

Strong experience with KDB+/q development and analytics frameworks.

Previous exposure to eFX or financial markets is a plus.

Proven ability to design and implement efficient data solutions.

Excellent problem-solving and communication skills.

Benefits:

Competitive daily rate ( 1,200 Umbrella)

12-month contract with potential for extension

Opportunity to work with a leading eFX team on high-impact projects

Please be advised if you haven’t heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Pontoon/Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Senior Data Scientist

Senior Data Scientist (Optimisation)

Hybrid (2/3 office split) London

£80k-£90k + Share options + Additional benefits

The business

This is a fast-growing AI technology company of around 15 people, building cutting-edge predictive and optimisation solutions for real-world operational challenges.

The data team you’ll be joining is at the centre of their platform which powers smarter workforce planning, scheduling and supply chain decisions for the clients they support.

The role

They’re looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems.

Key responsibilities

Design and improve optimisation algorithms for staff scheduling and warehouse workforce planning

Develop mathematical models and optimisers (beyond standard ML approaches)

Evolve the existing optimiser into a scalable, production-ready system

Write production-quality Python code and collaborate closely with engineers and other data scientists

What they’re looking for

Strong Python skills (critical)

Hands-on experience with optimisation/operations research / mathematical modelling

Background in supply chain or workforce planning (desirable)

Ability to build and ship production-level components, not just analytical prototypes

If this sounds like you and you would like to know more details, please apply now.

We are seeking Data Scientists to support the implementation of Health Assessment Outcomes and AI Personalisation Projects. These initiatives are part of a multi-year programme aimed at delivering measurable impact through advanced clinical statistical techniques and innovative AI solutions.

The successful candidates will evaluate and quantify the impact of Health Assessments on customer health and wellbeing, while deepening the understanding of customer profiles, health determinants, and personalised healthcare solutions.

We are looking for individuals with applied experience in data science within a healthcare or clinical setting, who can also act as subject matter experts by collaborating closely with clinicians, operational teams, and business managers.

Ensure the accuracy, relevance, and robustness of clinical outcomes data through rigorous validation methodologies.

Identify, define, and track supplementary metrics to enhance outcomes analysis.

Collaborate with stakeholders to agree on analytical assumptions and clearly articulate limitations.

Lead the development of research protocols, outlining objectives, scope, and methodological frameworks.

Conduct in-depth analysis using appropriate statistical and computational techniques.

Contribute to a comprehensive white paper in collaboration with academic partners.

Evaluate and tailor clinical risk models to align with datasets and clinical objectives.

Map input variables to model requirements, ensuring semantic and structural consistency.

Conduct validation and performance testing, including clinical utility assessments.

Collaborate with clinical experts to review model assumptions and implications for patient care.

Prepare documentation for clinical governance bodies to ensure compliance with ethical and regulatory standards.

Integrate validated clinical risk models into AI personalisation algorithms.

Design and execute pilot studies using real-world patient cohorts.

Collaborate with clinical leadership to review pilot outcomes and refine approaches.

Define clinical rules and inclusion/exclusion criteria to guide model application.

Enhance AI-driven personalisation by integrating updated clinical risk insights.

Applied experience in Data Science within a healthcare or clinical setting.

Expertise in medical statistics, epidemiology, and population health.

Proficiency in study design, statistical modelling (e.g., survival analysis, regression techniques), and longitudinal data analysis.

Hybrid Working - London - 1-2 days a week on site.

Financial Services

Lorien’s leading banking client is looking for a Tableau Developer to join the expanding team on a long-term project.

This role is based in London.

This role will be Via Umbrella.

Working in a Hybrid Model of 1-2 days a week on site.

Key Skills and Experience

You’ll be leading and coaching colleagues to plan and deliver strategic agreed project and scrum outcomes.

You’ll drive the use of advanced analytics in your team to develop business solutions which meet the needs of our stakeholders and increase the understanding of our business, including its customers, processes, channels and products.

As well as this, you’ll be:

Working closely with business stakeholders to define detailed, often complex and ambiguous business questions, problems or opportunities

Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges

Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with

Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics

Developing strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs

The Skills You’ll Need

We’re looking for a capable leader with a passion for data and analytics, and experience of coaching and supporting their colleagues to succeed. Along with advanced analytics knowledge, you’ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling?.

Requires 3-5 years (at least) experience in:

Excellent stakeholder management and requirement gathering skills - they need to be able to drive meaningful requirements through proactive challenge of business

Excellent communication skills and be able to present to senior manager level stakeholders

Knowledge of data architecture, key tooling and relevant coding languages ?

Strong knowledge of data management practices and principles?

Experience of translating data and insights for key stakeholders ?

Good knowledge of data engineering, data science and decisioning disciplines ?

Strong communication skills with the ability to engage with a wide range of stakeholders

IND_PC3

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Quantitative Developer Rust Crypto

Quant Developer - Rust / HFT

£120,000 - £200,000 (plus 100% guaranteed bonus, total comp up to £500k)

? Remote (London, Paris, or Singapore) - you WILL need the right to work in your chosen country

? Crypto Hedge Fund

The Opportunity

We’re building a cutting-edge high-frequency trading platform in Rust, and we’re looking for exceptional Quant Developers to join the team.

This is a chance to work on the systems that drive modern markets: ultra-low latency trading algorithms, front-office risk and execution systems, and integrations with leading DeFi venues. If you thrive in high-performance environments, want to solve some of the hardest technical challenges in trading, and prefer a collaborative culture to the usual hedge fund politics, this is the seat you’ve been waiting for.

What You’ll Do

Design and implement low-latency, high-frequency trading algorithms in Rust

Build and optimise trading system components - from order book handling to execution pipelines

Integrate real-time market data feeds from DeFi protocols and exchanges

Develop robust backtesting frameworks to validate models and strategies

Collaborate with a world-class team of developers and quants to push the limits of performance and scale

What We’re Looking For

? 2+ years’ experience building trading systems (HFT / systematic trading)

? Strong Rust skills (C++ accepted if you’ve shipped commercial Rust projects too)

? Deep knowledge of order books, order state machines, and low-latency architecture

? Background in crypto or traditional electronic markets

? Sharp maths and analytical ability, combined with curiosity and drive

Why Join us?

Impact: You’ll be hands-on in building a new HFT platform from the ground up

Reward: £120k - £200k base + 100% guaranteed bonus (total comp capped at £500k)

Culture: High-performance without the ego - collaborative, ambitious, and flexible

Global team: Work remote-first, with hubs in London, Paris, and Singapore

The Process

Intro call with Head of Talent

Technical test (Rust / trading systems)

90-minute deep dive with Head of HFT + developer

Final chat with CEO (offer stage)

RSG Plc is acting as an Employment Agency in relation to this vacancy.

Data Scientist Time-series focus

Harnham - Data & Analytics Recruitment

Data Scientist (Time Series Focus)

London 4-5 Days per week in Office

£150,000 + 100% Bonus

Are you a data scientist with a passion for time-series modelling and financial markets? We’re working with a leading London-based hedge fund that’s seeking a Data Scientist to join their growing research and investment team. This is a unique opportunity to apply cutting-edge modelling techniques to real-world macroeconomic and market challenges.

Why this role?

Join a successful and ambitious hedge fund with a specialism in global macro strategies.

Apply your skills in time-series forecasting to datasets central to investment decisions.

Collaborate with quant researchers and ML engineers in a highly data-driven environment.

Competitive base salary with significant bonus earning potential.

? What you’ll be doing:

Exploring, processing, and analysing complex time-series datasets.

Designing and implementing advanced statistical, ML, and deep learning models for forecasting.

Applying best practices in model development, testing, and validation.

Working closely with quants and engineering teams to integrate models into investment workflows.

Contributing directly to investment strategies with your research and insights.

? What we’re looking for:

Strong hands-on experience with time-series modelling (ARIMA, VAR, GARCH, Prophet, LSTMs, Transformers, etc.).

Proficiency in the Python ecosystem (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow; polars/dask a plus).

Familiarity with SQL and handling large datasets.

Curiosity and interest in financial markets and macroeconomics.

Master’s or PhD in a quantitative discipline a strong advantage.

What’s on offer:

Competitive salary (based on experience).

Significant bonus potential.

London-based role in a dynamic, high-performing hedge fund environment.

Exposure to cutting-edge research at the intersection of data science and macro investing.

If you’re a data scientist who thrives on applying advanced modelling to complex real-world problems and wants to see your work directly influence investment decisions, this is the perfect opportunity.

KDB Specialist / KDB+/q Developer

Atrium Workforce Solutions Ltd

Contract Role - KDB Specialist / KDB+/q Developer - London - 12 Months Initial - Inside IR35

We are looking for a skilled KDB Specialist**/ KDB+/q Developer** to work with the eFX strat/engineering teams to build out our analytics framework in KDB+/q and enhance the overall resiliency of our KDB+ estate. Build out reporting dashboards for key stakeholders based on data within KDB.

Role Overview:

Job Title: KDB Specialist / KDB+/q Developer

Location: London

Contract Type: Contract

Duration: 12 months initially, Inside IR35

Strong hands-on experience with KDB+/q development in financial services (preferably front-office trading environments).

Solid understanding of market data, eFX, or time-series data.

Experience building dashboards, reporting tools, or data visualisations.

Knowledge of distributed systems, resiliency, and performance optimisation.

Proficiency in at least one other programming language (e.g., Python, Java, C++) is desirable.

Strong problem-solving and analytical skills, with the ability to work under pressure in fast-paced environments.

Excellent communication and collaboration skills for working with cross-functional teams (strats, traders, engineers, operations).

Please feel free to contact myself - Daisy Nguyen at Gibbs Consulting/Atrium UK for a confidential chat to know more details about the role.

Please also note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted

BI Analyst - Retention Data

Randstad Technologies

Retention Data BI Analyst

12-month contract

day rate of £230-£255 (umbrella)

Are you passionate about turning data into insights that drive customer loyalty? We are looking for a skilled BI Analyst on a 12-month contract to work on high-impact projects focused on customer retention. This role offers a You will transform reporting, build behavioral analytics, and influence decisions across our product ecosystem. Using SQL, Python, and BI tools like Tableau or Qlik, you will uncover actionable insights and drive retention-focused initiatives.

Key Responsibilities

Build automated, scalable reporting solutions focused on customer retention.

Create dashboards combining internal and external data sources for senior leadership presentations.

Collaborate with teams to identify gaps in data capture strategies and implement enhancements.

Provide actionable insights on key retention metrics.

Maintain relationships with stakeholders to ensure retention-related data needs are met.

Qualifications

Proven experience as a BI Analyst or similar role, ideally focused on customer retention.

Strong ability to analyze and combine large datasets using advanced SQL.

Experience with BI/reporting tools such as Tableau or Qlik.

Experience building and maintaining data pipelines.

Track record of turning data into actionable insights.

Desirable:

Experience with Python or R for statistical analysis.

Experience in Fintech, particularly with customer churn and loyalty metrics.

About You

Highly personable team player with a can-do attitude.

Able to prioritize and manage multiple tasks effectively.

Passionate about learning and growing your analytical skills.

Self-starter who proactively finds solutions.

Detail-oriented with high accuracy in producing results.

Contract: 12 months

Day Rate: £230-£255 (umbrella)

Location: London Hybrid 2-3 days in office

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Data Scientist Up to £60,000 Learn Snowflake DBT Edtech

Opus Recruitment Solutions Ltd

Data Scientist -**Location: London (Hybrid) 4 days in the officeSalary:** £50,000 to £60,000 + BenefitsCRM Predictive Modeling Snowflake dbtAre you a Data Analyst or mid level Data Scientist who’s ready to move beyond dashboards and into real impact? This is your chance to join a global data team that’s driving strategy across marketing, enrolment, and finance, using modern tools and solving real business problems.As a Data Scientist, you’ll be building predictive models (LTV, lead scoring), developing analytics-ready data marts, and deploying solutions that directly influence decision-making. You’ll work with a cutting-edge stack: Snowflake, dbt, Tableau, Salesforce, Python, SQL and collaborate with stakeholders who genuinely value data.What You’ll Be Doing as a Data Scientist:

Designing and refining predictive models to guide marketing spend and resource allocation

Creating lead scoring systems with drift monitoring and retraining triggers

Partnering with marketing and enrolment teams to run A/B tests and measure impact

Building analytics-ready data marts in dbt/Snowflake with proper documentation and SLAs

Developing dashboards in Tableau to track ROI, pipeline health, and market segmentation

Maintaining pipelines from Salesforce, Marketing Cloud, GA, Facebook, and more

Using reverse-ETL to ensure your models feed directly into workflows and campaigns

What We’re Looking For in a Data Scientist:

3+ years in data science or analytics, ideally with CRM exposure

Strong SQL and Python skills

Has worked with Snowflake, dbt, and cloud platforms (AWS preferred) - If not ability to learn quickly

Familiarity with LTV modeling and marketing analytics

Tableau or similar data viz tools

Ability to communicate insights clearly to both technical and non-technical teams

A proactive mindset and a love for solving real business problems

This is a brilliant opportunity for a Data Scientist who wants to work in a team that values experimentation, iteration, and measurable impact. If you’re a Data Scientist who’s ready to builddata products that matter - apply now.

Quantitative C++ Developer

Quantitative C++ Developer6 Month ContractLocation: London (Hybrid)

Lorien’s UK leading Investment banking client are currently looking for a highly skilled Quantative C++ Developer to join the team on an initial 6-month contract.

Essential

C++ development knowledge

Discipline expert, typically with a number of years post qualification experience or equivalent business experience.

Quantitative Degree (BSc/MSc) or equivalent experience

Strong working knowledge of systems and programming languages used on a day to day basis

Excellent written and oral English skills in order to articulate technical issues associated to work area and communicate with individuals across the business.

Team orientated and an ability to work with individuals to set individual objectives and manage performance to ensure their delivery.

Preferred

Working knowledge of Fixed Income Derivatives

Working knowledge of Bonds and Futures

Prior experience using Visual Studio

Prior experience with Python

If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Lead R Engineer / Data Scientist - Integrated Pest Management IPM

MORRIS SINCLAIR RECRUITMENT LTD

Fully Remote

Very Competitive Salary and Share Scheme

Agricultural Technology specialising in Integrated Pest Management (IPM)

Remote Role - Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We’re seeking an experienced Data Engineer to join our client’s Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You’ll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions

Lead technical best practices across R package design, code architecture, documentation, and dependency management

Establish and oversee versioning and CI/CD systems to enhance team workflows

Guide team members in code architecture, development standards, and deployment processes

Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development

Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code

Collaborate with our Engineering department to align code design, versioning strategies, and release cycles

Essential Qualifications

Master’s degree and / or PhD or equivalent in informatics or life sciences (or bachelor’s degree with 5+ years relevant industry experience)

Deep knowledge of R programming and package development

Proven experience managing dependencies and ensuring reproducibility in R production environments

Strong background in version control systems and CI/CD implementation

History of successful collaboration with IT teams on data science workflows

Proficiency with Windows and/or Linux environments

Experience with GIS systems and spatial data analysis

Exceptional problem-solving abilities and adaptability

Leadership experience with strong communication skills

Structured approach to quantitative challenges

Comfort working in a dynamic startup environment

Qualifications

Microsoft Azure experience, particularly R integration

Application containerization knowledge (Docker, etc.)

Familiarity with Python, JavaScript, C++, bash, or other languages

Web application development experience (React, .NET)

Background in data security and IP protection workflows

Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling)

Experience in agricultural or land management sectors with a background specifically in Integrated Pest Management (IPM)

If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.

Senior Computer Vision Engineer

NonStop Consulting Ltd

Computer Vision Engineer - Sports Analytics Innovation

Location: London, UK (Hybrid / Flexible)Salary: £70,000 base + OTE up to £140k-£200k in Year 1

About the Opportunity

We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence. This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events.

You’ll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.

Key Responsibilities

Design, implement, and optimize deep learning algorithms for image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systemsCurate and preprocess data to maximize training effectivenessDeploy models into production environments and monitor their performanceCollaborate closely with engineers, data scientists, and product teams to deliver integrated solutionsStay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches

About You

We’re looking for someone who thrives at the intersection of research and applied engineering. You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.

Essential experience:

Strong background in Computer Vision and image/video processingHands-on experience with OpenCV pipelinesProficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and optimizing models for real-time applicationsStrong data science and metrics literacy

Nice to have:

PhD or Master’s in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker)

Why Apply?

Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team passionate about research, innovation, and continuous learningCompetitive salary £70k base with exceptional **OTE (£140k-£200k Year 1)**Opportunity to make your mark in a fast-growing, cutting-edge technology sector

If you’re excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that’s shaping the future of sports technology, we’d love to hear from you.

Marketing Data Analyst

Marketing AdTech Data Analyst

Location: London (hybrid 3 days per week onsite)Contract: 12 months, up to £425pd inside IR35

Our client is looking for a highly skilled Data Analyst to join a fast-paced ad-tech environment supporting data-driven marketing and advertising initiatives. This role is ideal for someone who thrives at the intersection of analytics, marketing strategy and technical execution, with strong hands-on experience in Tableau, SQL and Python.

You’ll work closely with global stakeholders across Marketing, Sales, Engineering and external data partners to deliver insights, optimise campaign performance and shape go-to-market strategies for digital advertising products.

What You’ll Do:

Deliver custom insights and analytics to support marketing and sales objectives.

Build and maintain Tableau dashboards and reports to track KPIs, campaign performance and user engagement.

Develop and maintain ETL pipelines using SQL and Python.

Translate business needs into analytical requirements, communicating findings with clarity and impact.

Conduct data analysis and A/B testing to measure the effectiveness of marketing initiatives.

Contribute to scalable reporting solutions, data transformation and automation strategies.

What You’ll Bring:

Professional experience in marketing analytics, data science or similar.

Proven expertise with Tableau (or similar tools such as PowerBI).

Advanced programming skills in SQL and Python for data transformation and analysis.

Experience with web analytics tools (e.g. Adobe Analytics).

Familiarity with data warehousing and database modeling (Snowflake experience a plus).

Strong communication and presentation skills, with the ability to explain complex data simply.

Self-starter with a commercial mindset and a drive for continuous improvement.

Background in ad-tech or digital marketing platforms is highly desirable, as well as experience working with external data partners to enhance ad targeting.

Familiarity with automated data ingestion, APIs and marketing data pipelines.

Python Developer

Hays Specialist Recruitment Limited

I am currently working with a London-based Tier 1 investment bank who are actively seeking a Python Developer on a long-term contract basis.What you’ll need to succeed

Strong Python programming experience within Financial Services - Mandatory

Good understanding of quantitative finance

Good experience developing and optimising Python-based calculators and models.

Strong experience developing high-performance APIs using Flask or FastAPI.

Expertise in Pandas, NumPy and other computing libraries.

Strong experience liaising with front-office stakeholders

What you’ll get in return

Initial 6-month contract with extensions

Up to £700pd umbrella

London-based hybrid working

What you need to do nowIf you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

Qliksense DeveloperCertain Advantage are hiring for a Qliksense Developer based in London.This role is on an initial contract till the end of the year basis and is office based**The company:**We’re working with a business that’s on a strong growth trajectory, backed by ambitious plans. With a commitment to innovation and excellence, they are poised to make a significant impact in the industry.The roleAs a Senior Analytics engineer you are a subject matter expert, who designs & builds analytics solutions and mentors junior engineers. You are also the key person to convert the Vison and Data and Analytics Strategies into IT solutions and deliver them.

Design, build and implement POCs, prototypes and full-fledged UX solutions and strategies

Communicate with key stakeholders to drive clarification of requirements and to promote UX designs and solutions

Expert knowledge in QlikSense & Qlik Cloud Analytics to deliver complex, fast moving datasets to high value trading teams.

Support the design, e.g., by analysing user journeys and drive towards simplification and automation

Enable high quality & compelling story telling through creation of strong, simple to understand data visualizations

Document technical solution design and strategy documentation

Run quality assessments of counterparts’ design

Adhere to the organisations Release and Change process

The individual:

Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries

Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout optimization, mobility, scripting and integrating advanced analytics

Knowledge of upcoming trends in tools and technology

Gas/Power Trading knowledge - Short-term trading, physical assets trading (CCGT, Wind, Solar, Battery)

Risk - Modelling & understanding of risk & risk management.

Commodity Modelling - Energy (power, gas, environmental products) and meteorology.

Skilled at one of the following secondary visualization tools - (at least one of the following - (1) Power BI and Azure Analysis Services (AAS), (2) Spotfire, (3) SAP Analytics Cloud)

**Does this sound like your next career move? Apply today.**Working with Certain AdvantageWe 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 certainadvantage.co.uk and register for job alerts and career guidance tips.

Machine Learning Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

6 month initial

A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business.

Machine Learning Engineer, key skills:

Significant experience working as a Data Scientist/Machine Learning Engineer

Solid knowledge of SQLandPython’s ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib).

GCP, VertexAI experience is desirable (developing GCP machine learning services)

Timeseries forecasting

Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture

Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)

Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason***,*** please let us know when you apply or talk to the recruiters directly so we can support you.

London Permanent Full-Time Hybrid Working

An excellent opportunity has arisen for a Senior Data Engineer to join a respected, international insurance and analytics organisation. In this role, you will design, develop, and maintain data solutions that enhance underwriting and claims decision-making, support operational improvements, and drive data-driven strategies across multiple specialty lines.

This position is ideal for an experienced data engineering professional with strong insurance sector knowledge, looking to make a significant impact in a high-profile analytics function.

About the Team

The data and analytics team works across multiple international specialty lines, including cyber, energy, equine, marine, professional and financial risks, trade credit, political risk and surety, and international casualty. Its remit covers:

Data engineering and analytics

Portfolio management

Pricing model development

The team is embedded within underwriting operations and plays a key role in achieving profitability and performance targets.

What You’ll Bring

A collaborative, proactive, and solutions-focused mindset.

Ability to influence and engage with stakeholders to ensure data solutions meet business needs.

Willingness to learn new technologies and act as a subject matter expert within the team.

Commitment to delivering high-quality outputs that drive strategic and operational decisions.

Values

People First - Empowering and supporting colleagues and customers.

Winning Together - Sharing ideas, respecting opinions, and achieving goals collaboratively.

Striving for Better - Pursuing excellence and continuous improvement.

Enjoying the Everyday - Bringing positivity and humour to work.

Thinking Further - Building a lasting impact for customers, partners, and communities.

Key Responsibilities

Develop and deliver business analytics solutions across all divisions, enabling data-driven decision-making in support of the Data, Analytics & Insights function.

Design, implement, and maintain automated data solutions, streamlining processes and improving efficiency.

Build, refine, and optimise data models to enhance underwriting and claims processes.

Maintain high standards of data quality, integrity, and governance across all systems.

Collaborate with IT to integrate new systems and technologies into the existing data ecosystem.

Source, standardise, and consolidate datasets to create unified views within cloud-based analytics platforms.

Act as a representative for the data function in cross-functional projects with actuarial, IT, finance, compliance, reinsurance, delegated authorities, and underwriting support teams.

Key Skills & Experience

Proven track record in data engineering within the insurance sector, ideally with London Market experience.

Strong knowledge of insurance data models, including policy, claims, and risk-related structures.

Expertise in Azure Cloud Services (Data Factory, Databricks, Key Vault, Azure SQL) and data warehousing methodologies (Kimball, Inmon).

Proficiency in T-SQL for data transformation and summarisation, with Python skills for building data pipelines.

Advanced Excel skills for manipulating and analysing large, complex datasets.

Experience delivering process automation and driving continuous improvement initiatives.

Excellent stakeholder engagement, communication, and influencing skills.

Highly organised, adaptable, and confident in managing multiple priorities in a fast-paced environment

If you have the skills, experience, and drive to excel in this role, we’d love to hear from you.

Data Specialist - Government Client

Are you a seasoned data professional ready to shape the future of data architecture in a high-impact government setting?

We’re working with a major government organisation seeking Data Specialists for upcoming projects. This is a strategic role focused on designing and delivering robust, interoperable data architecture to support a wide range of stakeholders.

Location: Full-time on-site in Central London, Milton Keynes, Cheltenham, or Manchester Security Clearance: You would have to undergo DV clearance (can take 12 months; you may work other roles during this time)

Key Responsibilities:

Set and drive data architecture strategy across the organisation

Promote and implement data standards and patterns with internal and external partners

Ensure data interoperability and quality across delivery teams

Support cloud migration with a modern, data-centric architecture

Useful Experience:

Data Modelling: Physical, logical, conceptual models; data flow diagrams; ontologies; UML/Visio/Sparx

Data Standards: Technical specs, code assurance, championing interoperability

Metadata Management: Data catalogues, repositories; tools like Apache Atlas, Hive Metastore, AWS Glue/Datazone

Data Design: Data lakes, warehouses, lakehouses, pipelines, meshes, marketplaces

If you’re passionate about shaping data strategy and architecture in a mission-driven environment, apply now to be part of this transformative journey.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Page 2 of 4

Frequently asked questions

What types of Data Scientist jobs are available in London?

London offers a wide range of Data Scientist roles, including positions in finance, healthcare, technology, and retail sectors. You can find opportunities ranging from entry-level to senior positions, focusing on machine learning, data analysis, AI development, and more.

Do I need to have UK work authorization to apply for Data Scientist jobs in London?

Most employers require candidates to have the legal right to work in the UK. However, some companies sponsor work visas for qualified Data Scientists. It's important to check each job listing for details about work authorization and sponsorship options.

What skills are most in demand for Data Scientists in London?

Key skills include proficiency in Python or R, experience with machine learning frameworks, strong statistical knowledge, data visualization tools such as Tableau or Power BI, and familiarity with big data platforms like Hadoop or Spark.

How can I stand out when applying for Data Scientist jobs in London?

Building a strong portfolio with real-world projects, obtaining relevant certifications, networking within the London tech community, and tailoring your CV to highlight relevant experience and skills can improve your chances.

Are there any salary expectations for Data Scientist roles in London?

Salaries vary based on experience, sector, and company size. Generally, entry-level Data Scientist positions start around £35,000 - £45,000, while senior roles can exceed £90,000 per year.

Terms

Feedback

Contact

Careers