data engineer

data scientist

machine learning engineer

senior data scientist

senior ai engineer

machine learning specialist

Haystack

<div>
 We are working with a pioneering technology firm that is at the forefront of developing cutting-edge AI solutions for real-world applications across various industries. This company is renowned for its innovative approach to machine learning and its commitment to pushing the boundaries of what's possible.
 <br/>
 <br/>
 The Role
 <br/>
 <br/>
 <ul>
  <li>
   Develop, train, and optimise advanced computer vision and machine learning systems
  </li>
  <li>
   Deploy machine learning solutions in constrained edge environments
  </li>
  <li>
   Work with a team of experts on innovative AI projects
  </li>
  <li>
   Contribute to the full lifecycle of machine learning model development
   <br/>
   <br/>
  </li>
 </ul>
 What You'll Need
 <br/>
 <br/>
 <ul>
  <li>
   Proven experience as a Machine Learning Engineer
  </li>
  <li>
   Expertise in computer vision and machine learning model development
  </li>
  <li>
   Familiarity with deploying models in edge environments
  </li>
  <li>
   Strong problem-solving skills and an analytical mindset
  </li>
  <li>
   Excellent communication and collaboration abilities
   <br/>
   <br/>
  </li>
 </ul>
 What's On Offer
 <br/>
 <br/>
 <ul>
  <li>
   Competitive salary based on experience
  </li>
  <li>
   Opportunity to work on groundbreaking AI technology
  </li>
  <li>
   Diverse and inclusive work environment
  </li>
  <li>
   Professional growth and development opportunities
   <br/>
   <br/>
  </li>
 </ul>
 Apply via Haystack today!
 <br/>
 <br/>
</div>


Machine Learning Engineer

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in London to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (UK-based)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


Software Engineer – Machine Learning (AI Training)

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p>
<p>As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Machine Learning and Econometrics with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.</p>
<p>Job responsibilities</p>
<ul><li>Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li>
<li>Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems</li>
<li>Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
<li>Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business</li>
</ul><p>Required qualifications, capabilities, and skills</p>
<ul><li>PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research</li>
<li>Ability to conduct literature research in unfamiliar fields</li>
<li>Hands-on experience and solid understanding of machine learning and deep learning methods</li>
<li>Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li>
<li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li>
<li>Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li>
<li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li>
<li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li>
</ul><p>Preferred qualifications, capabilities, and skills</p>
<ul><li>Strong background in Mathematics and Statistics and familiarity with the financial services industries;</li>
<li>Solid knowledge in financial reports analysis; understand relationships among items in Balance Sheet, Income Statement, and Cashflow statement</li>
<li>Ability to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests;</li>
<li>Published research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal</li>
</ul><p></p><p>#MLCOE_jobs</p>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning

<p></p><div><div><div>Job ID: R0052341</div>
</div><p></p><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><p></p><div><div><p>We believe in better. And we make it happen.</p>
<p></p><p>Better content. Better products. And better careers.</p>
<p></p><p>Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.</p>
<p></p><p>We turn big ideas into the products, content and services millions of people love.</p>
<p></p><p>And we do it all right here at Sky.</p>
<p></p><p><b>For this role we offer the hybrid working approach with 2 days a week onsite in Osterley campus.</b></p>
<p></p><p><b>What you&rsquo;ll be doing</b></p>
<ul><li><p><b>Model Development:</b> Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.</p>
</li><li><p><b>Data Pipeline Engineering:</b> Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.</p>
</li><li><p><b>Production Deployment:</b> Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.</p>
</li><li><p><b>Experimentation:</b> Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.</p>
</li><li><p><b>Cross-Functional Collaboration:</b> Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.</p>
</li><li><p><b>Research &amp; Innovation:</b> Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.</p><br>
</li></ul><p><br>
<b>What you'll bring</b>
</p><ul><li><p>Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.</p>
</li><li><p>Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch).</p>
</li><li><p>Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).</p>
</li><li><p>Experience with high-volume data processing and real-time streaming architectures.</p>
</li><li><p>Strong understanding of recommendation system design and personalisation algorithms.</p>
</li><li><p>Familiarity with Generative AI and its applications in production settings.</p>
</li><li><p>Good communication and analytical problem-solving skills.</p>
</li></ul><p></p><p><b>A Typical Day at the Office</b></p>
<p></p><p>When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf&eacute;s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you&rsquo;ll join your team and pick the first task to get cracking on.</p>
<p>At lunchtime, you&rsquo;ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup &ndash; whatever suits you. Once you&rsquo;re back, you&rsquo;ll carry on working with your team on your current feature.</p>
<p>Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.</p>
<p></p><p><b>Global OTT Technology</b></p>
<p></p><p>Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world&rsquo;s best entertainment, news and sport.</p>
<p></p><p><b>The rewards
</b></p><p></p><p>There's one thing people can't stop talking about when it comes to <b>#LifeAtSky</b>: the perks. Here&rsquo;s a taster:</p>
<ul><li><p>Sky Q, for the TV you love all in one place</p>
</li><li><p>The magic of Sky Glass at an exclusive rate</p>
</li><li><p>A generous pension package</p>
</li><li><p>Private healthcare</p>
</li><li><p>Discounted mobile and broadband</p>
</li><li><p>A wide range of Sky VIP rewards and experiences</p>
</li></ul><p></p><p><b>Inclusion &amp; how you'll work</b></p>
<p></p><p>We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.</p>
<p>We&rsquo;ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You&rsquo;ll find out more about what hybrid working looks like for your role later on in the recruitment process.</p>
<p></p><p><b>Your office space
</b></p><p></p><p><b>Osterley</b></p>
<p></p><p>Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.</p>
<p>On campus, you&rsquo;ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.</p>
<p></p><p><b>We'd love to hear from you
</b></p><p></p><p>Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It&rsquo;s a place where you can explore what if, how far, and what next.</p>
<p>But better doesn&rsquo;t stop at what we do, it&rsquo;s how we do it, too. We embrace each other&rsquo;s differences. We support our community and contribute to a sustainable future for our business and the planet.</p>
<p>If you believe in better, we&rsquo;ll back you all the way.</p>
<p></p><p><b>Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.</b></p></div></div></div><p></p>

Machine Learning Engineer (Recommendation)

Data Idols

<div><h2 class="jobSectionHeader"><b>Senior Data Scientist</b></h2>
<h3 class="jobSectionHeader"><b>Salary: &pound;85K &ndash; &pound;95K</b></h3>
<h3 class="jobSectionHeader"><b>Location:</b><b> London (Hybrid &ndash; 3 days per week)</b></h3>
<p>
Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.</p>
<p>
Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.</p>
<h3 class="jobSectionHeader"><b>
The Opportunity</b></h3>
<p>
This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.</p>
<p>
You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.</p>
<p>
You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.</p>
<p>
Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.</p>
<p>
This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.</p>
<h3 class="jobSectionHeader"><b>
Skills &amp; Experience</b></h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
<p>If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.</p>
<h2 class="jobSectionHeader"><b>
Senior Data Scientist</b></h2></div><div></div>

Senior Data Scientist

Frontier Resourcing

<div><div><b>Principal Data Scientist &amp; Machine Learning Researcher
</b></div><div><p>Gloucester | London | Manchester
</p>
<p></p><p>Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions.
</p>
<p>Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques.
</p>
<p>We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site).
</p>
<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
<p></p><p><b>The Opportunity
</b></p><p>As a Senior Data Scientist &amp; Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment.
</p>
<p>You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&amp;D programmes.
</p>
<p>This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.
</p>
<p></p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
</li><li>Lead technical investigations, research activities and AI/ML development across customer and internal projects.
</li><li>Identify innovative approaches to solving complex technical challenges and contribute to future research directions.
</li><li>Provide technical leadership within project teams and support successful project delivery.
</li><li>Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
</li><li>Mentor and support junior team members, helping to develop technical capability across the wider team.
</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences.
</li>
</ul><p></p><p><b>Essential Skills &amp; Experience
</b></p><ul><li>Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
</li><li>Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
</li><li>Proven experience delivering machine learning solutions within commercial, research or government environments.
</li><li>Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
</li><li>Experience training, fine-tuning and evaluating machine learning and AI models.
</li><li>Ability to undertake technical research and apply findings to real-world challenges.
</li><li>Experience producing high-quality technical documentation, reports or research publications.
</li><li>Previous experience mentoring team members and providing technical leadership.
</li>
</ul><p></p><p><b>Desirable Skills &amp; Experience
</b></p><ul><li>MSc or PhD with a strong research background.
</li><li>Experience developing and maintaining robust ML pipelines and MLOps practices.
</li><li>Familiarity with version control, containerisation and environment management tools, including Git and Docker.
</li><li>Experience working within Linux environments and using command-line tooling.
</li><li>Experience deploying and scaling AI/ML solutions into production environments.
</li><li>Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
</li><li>Published research in peer-reviewed journals or conferences.
</li><li>Experience writing technical proposals, bids or research funding submissions.
</li>
</ul><p></p><p><b>What's on Offer
</b></p><ul><li>Opportunity to work on highly complex and meaningful national security challenges.
</li><li>Exposure to cutting-edge AI, Machine Learning and Data Science projects.
</li><li>Collaborative environment with experienced researchers, engineers and technical specialists.
</li><li>Clear opportunities for technical development, leadership and career progression.
</li><li>Hybrid working with locations in Gloucester, Manchester or London.
</li>
</ul><p></p><p><b>Benefits:
</b></p><ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on to of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li></ul></div></div>

Principal Data Scientist and Machine Learning Researcher (eDV)

Prospect 33

<div>
 <p>
  Data Scientist
 </p>
 <p>
  <strong>
   Location:
  </strong>
  United Kingdom (Hybrid)
 </p>
 <p>
  <strong>
   Employment Type:
  </strong>
  Full-Time
 </p>
 <p>
  <strong>
   About Prospect 33
  </strong>
 </p>
 <p>
  Prospect 33 is an established specialist firm, founded in 2005, that partners with global financial institutions and develops AI, data, and technology solutions for some of the world's leading banks and financial services organisations.
 </p>
 <p>
  <strong>
   The Opportunity
  </strong>
 </p>
 <p>
  We are seeking a Data Scientist to join our team in the United Kingdom. In this role, you will apply statistical analysis, machine learning, and data modelling techniques to solve complex business problems and generate actionable insights.
 </p>
 <p>
  Working closely with stakeholders, engineers, and business teams, you will help design and develop analytical solutions that support decision-making, improve operational efficiency, and drive business value.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Analyse large and complex datasets to identify trends, patterns, and opportunities
  </li>
  <li>
   Develop, test, and maintain statistical and machine learning models
  </li>
  <li>
   Perform data preparation, feature engineering, and exploratory data analysis
  </li>
  <li>
   Design and evaluate experiments to measure model performance and business impact
  </li>
  <li>
   Build data visualisations and communicate findings to technical and non-technical stakeholders
  </li>
  <li>
   Collaborate with cross-functional teams to understand business challenges and translate them into analytical solutions
  </li>
  <li>
   Support the deployment, monitoring, and enhancement of predictive models
  </li>
  <li>
   Document methodologies, assumptions, and results to ensure transparency and reproducibility
  </li>
  <li>
   Stay current with developments in data science, machine learning, and analytics
  </li>
 </ul>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative discipline
  </li>
  <li>
   2&ndash;5 years of experience in data science, analytics, machine learning, or a related field
  </li>
  <li>
   Strong proficiency in Python and SQL
  </li>
  <li>
   Experience applying statistical analysis and machine learning techniques to real-world problems
  </li>
  <li>
   Experience working with large and complex datasets
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Excellent communication and stakeholder management abilities
  </li>
 </ul>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related quantitative field
  </li>
  <li>
   Experience within financial services, banking, asset management, fintech, consulting, or other data-driven industries
  </li>
  <li>
   Experience with cloud platforms such as AWS, Azure, or GCP
  </li>
  <li>
   Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
  </li>
  <li>
   Experience with data visualisation tools such as Power BI or Tableau
  </li>
  <li>
   Knowledge of model deployment and MLOps concepts
  </li>
 </ul>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Python
  </li>
  <li>
   SQL
  </li>
  <li>
   Pandas
  </li>
  <li>
   NumPy
  </li>
  <li>
   Scikit-learn
  </li>
  <li>
   Jupyter Notebooks
  </li>
  <li>
   Git
  </li>
  <li>
   Power BI or Tableau
  </li>
 </ul>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong statistical and analytical thinking
  </li>
  <li>
   Ability to communicate complex concepts clearly and effectively
  </li>
  <li>
   Intellectual curiosity and a passion for solving challenging problems
  </li>
  <li>
   Strong attention to detail and commitment to quality
  </li>
  <li>
   Ability to manage multiple priorities in a fast-paced environment
  </li>
  <li>
   Collaborative mindset and excellent interpersonal skills
  </li>
  <li>
   Experience working with business stakeholders and cross-functional teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Data Scientist

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