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(ind) staff, data scientist

data scientist

InvestCloud, Inc.

<div>
 About the Team You will be joining the newly formed AI, Data &amp; Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on &ldquo;enhanced intelligence&rdquo;. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.
 
 
 We are seeking a Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, working as part of a team both locally in India and globally, you will integrate AI and ML solutions into the InvestCloud product suite.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Implement applications powered by Generative AI and Machine Learning models and deploy them in production
 </li>
 <li>
 Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
 </li>
 <li>
 Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders
 </li>
 <li>
 Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI.
 </li>
 <li>
 Analyze large datasets to identify patterns, trends, and insights that can inform business decisions.
 </li>
 <li>
 Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud&rsquo;s business objectives.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience
 </li>
 <li>
 At least two years of professional experience in Data Science, Machine Learning and AI
 </li>
 <li>
 Outstanding communications skills in English
 </li>
 <li>
 Proficiency in programming in Python
 </li>
 <li>
 Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain)
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, and model evaluation metrics
 </li>
 <li>
 Experience using large language models, generative AI and agentic frameworks (this may be at work or in personal projects)
 </li>
 <li>
 Experience in database technologies (Oracle, PostgreSQL)
 </li>
 <li>
 Working experience developing and deploying Machine Learning models in production
 </li>
 <li>
 Working experience with Git and Docker
 </li>
 <li>
 Working proficiency in English
 </li>
 <li>
 Ability to work in a fast-paced environment, working across multiple projects simultaneously
 </li>
 <li>
 Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.
 </li>
 <li>
 Practical, get-things done mentality within our controls environment.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Working experience with Vector Database Technologies
 </li>
 <li>
 Experience working with Snowflake and/or Databricks
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure
 
 
 </li>
 </ul>
 
 What Do We Offer
 
 
 
 Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.
 
 
 Location and Travel The ideal candidate will be expected to work from the office.
 
 
 Compensation The salary range will be determined based on experience, skills, and geographic location.
 
 
 Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
</div>

Data Scientist

SatSure

<div>
 
 SatSure is looking for a
 
 Lead Data Scientist (Computer Vision)
 
 to drive the next generation of geospatial intelligence models powering critical products across agriculture, finance, infrastructure, utilities, energy, and climate. This is a senior hands-on technical leadership role responsible for solving complex Earth Observation challenges using advanced ML/CV, and leading teams toward state-of-the-art, production-ready solutions.
 
 
 
 
 
 
 
 About Team and Mission :
 
 
 
 
 Our EO Applied Data Science team builds foundational research and applied ML systems that work across
 
 seasonal, geographic, and sensor variations
 
 - from multispectral and SAR to multi-temporal satellite data.
 
 
 We have delivered high-impact Geospatial Data Science solutions across a wide spectrum of EO applications, including Land Use &amp; Land Cover mapping, Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc.
 
 
 We now aim to push beyond the existing SOTA and build
 
 large-scale, real-time systems
 
 that operate with terabytes of satellite data, delivering insights that impact
 
 millions of end users
 
 , especially in developing markets and more ambiguous/complex geographies.
 
 
 
 
 
 
 
 About SatSure:
 
 
 
 
 SatSure is a deep-tech decision intelligence company that leverages Earth Observation (EO) data to solve crucial problems across agriculture, finance, infrastructure, utilities, aviation, energy, and climate, to name a few. Our goal is to create meaningful impact for the &ldquo;other millions,&rdquo; with a focus on the developing world. We aim to make insights from Earth Observation data accessible to all.
 
 
 With a founding team rooted in the Indian Institute of Space Science and Technology (IIST), Indian Space Research Organisation (ISRO), and the Indian Institute of Remote Sensing (IIRS), and a leadership team with diverse industry experience (IBM, Samsung, Intel, USC, IITKGP, IITG, IITM), we value technical innovation and scale. If you are interested in working in an environment focused on societal impact, driven by cutting-edge technology, and offering the freedom to innovate and be creative with no hierarchies, SatSure is the place for you.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 As a
 
 Lead Data Scientist - Computer Vision
 
 , you will:
 
 <ul>
 <li>
 Own technical charters and roadmap for multiple ML/CV initiatives.
 </li>
 <li>
 Lead and mentor applied scientists, mapping complex EO problems into actionable, scalable technical solutions.
 </li>
 <li>
 Drive hypothesis generation, experimentation, architecture design, model development, and deployment for production ML pipelines.
 </li>
 <li>
 Own E2E delivery of large-scale ML/CV systems - from problem framing to data design, model development, deployment, and monitoring.
 </li>
 <li>
 Collaborate with Product, MLOps, Platform, and Geospatial experts to convert ambiguous requirements into elegant solutions.
 </li>
 <li>
 Communicate technical findings to leadership, customers, and cross-functional partners with clarity and precision.
 </li>
 <li>
 Assist data science managers in effective project, resource management, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability.
 </li>
 <li>
 Build reliable, efficient models that scale across geographies, seasons, sensors, and business domains.
 </li>
 <li>
 Write clean, scalable production-grade code in Python/PyTorch.
 </li>
 <li>
 Conduct A/B experiments and calibrate ML metrics to business KPIs.
 </li>
 <li>
 Innovate on model architectures (Transformers, diffusion, generative, time-series models, self-supervision, multimodal fusion and temporal modeling) to advance in-house geospatial ML SOTA.
 </li>
 <li>
 Represent your work through patents, technical documents, internal whitepapers, and publications (as applicable).
 </li>
 <li>
 Contribute to hiring and technical excellence, including mentoring junior team members and interns.
 </li>
 </ul>
 
 
 
 
 
 
 Experience
 
 
 
 
 
 
 <ul>
 <li>
 M.Tech/MS (Research)/PhD in CS, EE, EC, Remote Sensing, or related fields preferably from leading academic/industrial labs/institutes/corporates.
 </li>
 <li>
 Exceptional undergraduates with strong research/industry experience will also be considered.
 </li>
 </ul>
 
 
 
 
 
 
 Experience :
 
 
 
 
 
 
 <ul>
 <li>
 
 6+ years
 
 of applied ML/Computer Vision experience (industry preferred).
 </li>
 <li>
 
 2+ years
 
 in a technical leadership role - people and project leadership.
 </li>
 <li>
 Proven experience taking ML models from POC &rarr; production &rarr; monitoring.
 </li>
 </ul>
 
 
 
 
 
 
 Must have Technical Expertise:
 
 
 
 
 
 
 <ul>
 <li>
 To be eligible for this role, we are looking for candidates with the following qualifications:
 </li>
 <li>
 A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc.
 </li>
 <li>
 Technically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Transformers, UNet, RNNs/LSTMs/GRUs, YOLO/RCNN/Encoder&ndash;Decoder architectures, Generative models (GAN, VAE, Diffusion), Self-supervised &amp; contrastive learning, Representation learning, domain adaptation &amp; generalization, Semi-/Active learning, noisy-label learning, Super-resolution, anomaly detection, clustering, Model compression: distillation, pruning, quantization.
 </li>
 <li>
 PyTorch, Python, SQL, distributed systems (Spark), MLOps for large-scale training, data pipelines, and deployment
 </li>
 </ul>
 
 
 
 
 
 
 Bonus:
 
 
 
 
 
 
 <ul>
 <li>
 SAR (VV/VH), NDVI, FCC, multispectral optical data, Temporal modeling (SITS, forecasting, seasonal dynamics), Cross-modal fusion (SAR+Optical, EO+tabular/ground)
 </li>
 <li>
 First-authored publications in ICLR, NeurIPS, CVPR, ICCV, ECCV, ICML, AAAI, IGARSS, IEEE TGRS, etc.
 </li>
 <li>
 Experience with geospatial datasets, climate models, foundation models, or EO analytics.
 </li>
 </ul>
 
 
 
 
 
 
 Benefits:
 
 
 
 
 
 
 <ul>
 <li>
 Medical Health Cover for you and your family including unlimited online doctor consultations
 </li>
 <li>
 Access to mental health experts for you and your family
 </li>
 <li>
 Dedicated allowances for learning and skill development
 </li>
 <li>
 Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
 </li>
 <li>
 Twice a year appraisal
 </li>
 </ul>
 
 
 
 
 
 
 Interview Process:
 
 
 
 
 
 
 <ul>
 <li>
 Intro call
 </li>
 <li>
 Assessment
 </li>
 <li>
 Presentation
 </li>
 <li>
 Interview rounds (ideally up to 3-4 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
 
 
 
 
 Link to SatSure blogs
 
</div>

Data Scientist - 3

Ericsson

<div>
 
 Join our Team
 
 
 
 About this opportunity:
 
 
 Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards.
 
 
 What you will do:
 
 
 <ul>
 <li>
 Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively.
 </li>
 <li>
 Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems.
 </li>
 <li>
 Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others.
 </li>
 <li>
 Develop solutions using on-premise and cloud-based machine learning.
 </li>
 <li>
 Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill.
 </li>
 <li>
 Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson.
 
 
 </li>
 </ul>
 The skills you bring:
 
 
 <ul>
 <li>
 DevSecOps.
 </li>
 <li>
 Business Understanding.
 </li>
 <li>
 Artificial Intelligence Systems.
 </li>
 <li>
 Software Engineering.
 </li>
 <li>
 Data Management.
 </li>
 <li>
 Ericsson Business Intelligence and Analytics Competence.
 </li>
 <li>
 Open-Source Programming Languages.
 </li>
 <li>
 Data Preprocessing.
 </li>
 <li>
 Statistics.
 </li>
 <li>
 Cloud Development.
 </li>
 <li>
 Machine Learning Algorithms.
 
 
 </li>
 </ul>
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 India (IN) || Bangalore
</div>

PhonePe

<div>
 
 
 Job Description:
 
 
 
 We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
 </li>
 <li>
 Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
 </li>
 <li>
 Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
 </li>
 <li>
 Design and implement scalable data pipelines and real-time analytics solutions.
 </li>
 <li>
 Guide and mentor data scientists, fostering a culture of innovation and best practices.
 </li>
 <li>
 Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
 </li>
 <li>
 Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
 </li>
 <li>
 Present findings and recommendations to key stakeholders in a clear and actionable manner.
 </li>
 <li>
 Work closely with engineering teams to deploy ML models into production environments at scale.
 </li>
 <li>
 Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Bachelor's or Master&rsquo;s degree
 
 in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
 </li>
 <li>
 
 6+ years of experience
 
 in data science, machine learning, or applied statistics. Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 <li>
 Strong expertise in
 
 Python, SQL
 
 with proficiency in
 
 machine learning frameworks
 
 such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of
 
 big data technologies
 
 (Spark, PySpark, Hadoop, or similar).
 </li>
 <li>
 Hands-on experience in
 
 model deployment
 
 using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
 </li>
 <li>
 Expertise in
 
 statistical modeling, predictive analytics
 
 .
 </li>
 <li>
 Experience working with
 
 real-time and batch-processing systems
 
 .
 </li>
 <li>
 Demonstrated ability to
 
 translate business problems into data science solutions
 
 .
 </li>
 <li>
 Excellent problem-solving, critical-thinking, and analytical skills.
 </li>
 <li>
 
 Strong communication and stakeholder management skills
 
 , with the ability to explain technical concepts to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 </ul>
</div>

Unilever

<div>
 
 Job Posting Title:
 
 Data Scientist
 
 
 
 Location:
 
 Unilever Bangalore
 
 
 
 About Unilever
 
 
 
 Be part of the world&rsquo;s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life &ndash; giving us a unique opportunity to build a brighter future.
 
 
 Every individual here can bring their purpose to life through their work. Join us and you&rsquo;ll be surrounded by inspiring leaders and supportive peers. Among them, you&rsquo;ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we&rsquo;ll work to help you become a better you.
 
 
 
 About UniOps
 
 
 
 Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.
 
 
 
 Purpose Of The Role
 
 
 
 <ul>
 <li>
 Works with the product and business teams to fully understand the business problem and how to deliver relevant insights that lead to actions.
 </li>
 <li>
 Gathers, analyses, models and interprets data to solve complex business problems and evaluate scenarios to recommend next best actions to the business.
 </li>
 <li>
 Fast paced agile experimentation with quick iterations to help demonstrate the value to build new product features/releases.
 </li>
 <li>
 Incorporate design thinking elements in building and developing solutions
 </li>
 <li>
 Act as the go to expert on building diagnostic and predictive models through classical modelling and Machine Learning.
 </li>
 <li>
 Build the know-how to develop Gen and Agentic AI solutions to meet growing business requirements in the space.
 </li>
 <li>
 Able to scale and industrialize the solution on cloud-based platforms
 
 
 </li>
 </ul>
 
 Areas Of Focus
 
 
 
 <ul>
 <li>
 Build data-science and algorithmic solutions to address business problems requiring diagnostic, predictive, and / or prescriptive analytics
 </li>
 <li>
 Drive new value from insights from connecting external (Retailer, Econometric, Panel etc) and internal data sources
 </li>
 <li>
 Innovate new D&amp;A methodologies motivated by local needs which feed into D&amp;A&rsquo;s global product pipeline
 </li>
 <li>
 The position will be primarily a sole contributor role working closely with the business interpreter across a variety of markets &amp; teams.
 </li>
 <li>
 Guide team on continuous improvement which will include:
 </li>
 <li>
 Improved ways of working
 </li>
 <li>
 Simplification and standardization
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Degree Qualified in a relevant technical field (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, Operations Research).
 </li>
 <li>
 Strong track record in solving problems using quantitative and statistical approaches
 </li>
 <li>
 Expert knowledge in some of the following areas with good theoretical understanding across all: Regression, Time Series Forecasting, Causal Inference, Simulation, Optimization. Experience in developing AI solutions using LLMs and Agents is a plus.
 </li>
 <li>
 Experience in designing and industrializing data science solutions
 </li>
 <li>
 Expert knowledge of Python &amp; Spark
 </li>
 <li>
 Experience in communicating with clients and requirement gathering
 </li>
 <li>
 Ability to manipulate and interpret complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data)
 </li>
 <li>
 Expert in working with cloud-based platforms like Azure, Databricks.
 </li>
 <li>
 Excellent communication, active listening and presentation skills and ability to communicate effectively with all levels in the organisation
 </li>
 <li>
 Passion for delivering service excellence; and developing a culture of &ldquo;easy to do business with&rdquo;, where customer&rsquo;s needs are anticipated
 </li>
 <li>
 Highly inquisitive mind-set with strong ability to identify, troubleshoot, problem solve and resolve issues. Passion for simplification and continuous improvement
 </li>
 <li>
 Strong interpersonal skills with the ability to collaborate with team members to understand and develop technology solutions for business needs
 </li>
 <li>
 Organised, strong time management skills and ability to prioritise multiple tasks in order to meet established deadlines
 </li>
 <li>
 Team-player who is a proactive self-starter, with the ability to work without oversight.
 </li>
 <li>
 Strong ethical standards regarding the handling of information.
 </li>
 <li>
 Ability to work quickly and accurately, and within a cross-culture and global environment.
 </li>
 <li>
 Ability to work with a broad, virtual team
 </li>
 <li>
 Proficiency in MS Office Suite and SQL desirable.
 </li>
 <li>
 Analytically minded with good numerical ability and logical reasoning
 
 
 </li>
 </ul>
 
 Please Note
 
 
 
 
 All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent&mdash;please verify before proceeding.
 
</div>

Meesho

<div>
 
 About The Team
 
 
 
 Our Data Science team is the Avengers to Meesho&rsquo;s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We&rsquo;ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
 
 
 Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
 
 
 As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
 
 
 But wait &ndash; there&rsquo;s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting &ldquo;Summer of 69&rdquo; at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️
 
 
 
 About The Role
 
 
 
 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
 
 
 In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Develop models and run experiments to infer insights from hard data
 </li>
 <li>
 Improve our product usability and identify new growth opportunities
 </li>
 <li>
 Understand reseller preferences to provide them with the most relevant products
 </li>
 <li>
 Designing discount programs to help our resellers sell more
 </li>
 <li>
 Help resellers better recognise end-customer preferences to improve their revenue
 </li>
 <li>
 Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
 </li>
 <li>
 Model seasonal demand to predict key organisational metrics
 </li>
 <li>
 Mentor junior data scientists in the team
 
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in computer science (or similar degrees)
 </li>
 <li>
 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
 </li>
 <li>
 Familiarity with Neural Networks, Machine Learning etc.
 </li>
 <li>
 Familiarity with tools like SQL, R, Python, etc.
 </li>
 <li>
 Strong understanding of Statistics and Linear Algebra
 </li>
 <li>
 Strong understanding of hypothesis/model testing and ability to identify common model testing errors
 </li>
 <li>
 Experience designing and running A/B tests and drawing insights from them
 </li>
 <li>
 Proficiency in machine learning algorithms
 </li>
 <li>
 Excellent analytical skills to fetch data from reliable sources to generate accurate insights
 </li>
 <li>
 Experience in tech and product teams is a plus
 
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Experience in working on personalization or other ML problems
 </li>
 <li>
 Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
 </li>
 </ul>
</div>

Data Scientist III

NatWest Group

<div>
 Join our digital revolution in NatWest Digital X
 
 
 In everything we do, we work to one aim. To make digital experiences which are effortless and secure.
 
 
 So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.
 
 
 Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
 
 
 This role is based in India and as such all normal working days must be carried out in India.
 
 
 
 Job Description
 
 
 
 Join us as a Data Scientist, Python
 
 
 <ul>
 <li>
 You&rsquo;ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
 </li>
 <li>
 We&rsquo;ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank&rsquo;s strategic direction through better use of data
 </li>
 <li>
 This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
 </li>
 <li>
 We're offering this role at associate level
 
 
 
 </li>
 </ul>
 What you'll do
 
 
 As a Data Scientist, you&rsquo;ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We&rsquo;ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.
 
 
 You&rsquo;ll also be:
 
 
 <ul>
 <li>
 Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
 </li>
 <li>
 Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
 </li>
 <li>
 Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
 </li>
 <li>
 Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
 </li>
 <li>
 Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
 
 
 
 </li>
 </ul>
 The skills you'll need
 
 
 You&rsquo;ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You&rsquo;ll have experience with statistical modelling and machine learning techniques.
 
 
 You'll need at least five years of experience in Python, NLP and SQL. You'll also need experience in machine and deep learning and experience in at least one of the algorithms like Logistic Regression or KNN or Random Forest.
 
 
 You&rsquo;ll also demonstrate:
 
 
 <ul>
 <li>
 The ability to use data to solve business problems from hypotheses through to resolution
 </li>
 <li>
 Experience using programming language and software engineering fundamentals
 </li>
 <li>
 Experience of Cloud applications and options
 </li>
 <li>
 Experience in synthesising, translating and visualising data and insights for key stakeholders
 </li>
 <li>
 Experience of exploratory data analysis
 </li>
 <li>
 Good communication skills with the ability to proactively engage with a wide range of stakeholders
 
 
 </li>
 </ul>
</div>

Data Scientist, Python

Explore 343+ Data scientist in Test Jobs In Mangaluru this December. Find roles across top companies and apply now to boost your career.

343 data scientist jobs IN Test Jobs In Mangaluru

Data Scientist

Data Scientist - 3

Data Scientist

Data Scientist

Data Scientist

Data Scientist III

Data Scientist, Python